# Detailed Evaluation: AI_READI/doi_row9 - GPT5

Evaluated: 2025-11-21T11:37:24.014219
File: `data/d4d_individual/gpt5/AI_READI/doi_row9_d4d.yaml`

## Overall Scores

- **Rubric10**: 4.0/50 (8.0%)
- **Rubric20**: 10.0/84 (11.9%)

## Rubric10 Element Scores

| ID | Element | Score | Details |
|----|---------|-------|---------|
| 1 | Dataset Discovery and Identification | 4/5 | 4/5 sub-elements present |
| 2 | Dataset Access and Retrieval | 0/5 | 0/5 sub-elements present |
| 3 | Data Reuse and Interoperability | 0/5 | 0/5 sub-elements present |
| 4 | Ethical Use and Privacy Safeguards | 0/5 | 0/5 sub-elements present |
| 5 | Data Composition and Structure | 0/5 | 0/5 sub-elements present |
| 6 | Data Provenance and Version Tracking | 0/5 | 0/5 sub-elements present |
| 7 | Scientific Motivation and Funding Transparency | 0/5 | 0/5 sub-elements present |
| 8 | Technical Transparency (Data Collection and Processing) | 0/5 | 0/5 sub-elements present |
| 9 | Dataset Evaluation and Limitations Disclosure | 0/5 | 0/5 sub-elements present |
| 10 | Cross-Platform and Community Integration | 0/5 | 0/5 sub-elements present |

### Rubric10 Sub-Element Details


#### 1. Dataset Discovery and Identification

Can a user or system discover and uniquely identify this dataset?

- ✅ **Persistent Identifier (DOI, RRID, etc.)**
  - Found: doi: doi:10.5281/zenodo.10642459
- ❌ **Dataset Title and Description Completeness**
  - Fields checked: title, description
- ✅ **Keywords or Tags for Searchability**
  - Found: keywords: list (non-empty)
- ✅ **Dataset Landing Page or Platform URL**
  - Found: page: https://doi.org/10.5281/zenodo.10642459
- ✅ **Associated Project or Program (e.g., Bridge2AI, AIM-AHEAD)**
  - Found: keywords: list (non-empty)

#### 2. Dataset Access and Retrieval

Can the dataset and its associated resources be located, accessed, and downloaded?

- ❌ **Access Mechanism Defined (e.g., open, restricted, registered)**
  - Fields checked: access_and_licensing.access_policy
- ❌ **Data Use Agreement Required?**
  - Fields checked: access_and_licensing.data_use_agreement
- ❌ **Download URL or Platform Link Available**
  - Fields checked: distribution_formats, download_url
- ❌ **File Formats Specified**
  - Fields checked: data_characteristics.data_formats, files.listing.type
- ❌ **External Links to Similar or Related Datasets**
  - Fields checked: external_resources, project_website

#### 3. Data Reuse and Interoperability

Is sufficient information provided to reuse and integrate the dataset with others?

- ❌ **License Terms Allow Reuse**
  - Fields checked: license_and_use_terms.description
- ❌ **Data Formats Are Standardized (e.g., JSON, TSV, Parquet)**
  - Fields checked: data_characteristics.data_formats
- ❌ **Schema or Ontology Conformance Stated**
  - Fields checked: conforms_to
- ❌ **Identifiers Defined for Linking (e.g., participant_id)**
  - Fields checked: data_characteristics.identifiers_in_files
- ❌ **Documentation of Processing Tools for Reproducibility**
  - Fields checked: software_and_tools, open_source_code

#### 4. Ethical Use and Privacy Safeguards

Does the dataset provide clear information about consent, privacy, and ethical oversight?

- ❌ **IRB or Ethics Review Documented**
  - Fields checked: ethics.irb_approval
- ❌ **Deidentification Method Described (e.g., HIPAA Safe Harbor)**
  - Fields checked: deidentification_and_privacy.approach
- ❌ **Identifiers Removed or Masked**
  - Fields checked: deidentification_and_privacy.examples_of_identifiers_removed
- ❌ **Informed Consent Obtained from Participants**
  - Fields checked: collection_process.consent
- ❌ **Ethical Sourcing Statement Included**
  - Fields checked: ethics.ethical_position

#### 5. Data Composition and Structure

Can the dataset’s structure, modality, and population be understood from metadata?

- ❌ **Cohort or Population Characteristics Described**
  - Fields checked: composition.population
- ❌ **Number of Participants or Samples Reported**
  - Fields checked: composition.population.participants
- ❌ **Modalities or Data Types Listed**
  - Fields checked: data_characteristics.modalities
- ❌ **Conditions or Phenotypes Represented**
  - Fields checked: composition.condition_groups
- ❌ **File Dimensions or Sampling Rates Provided**
  - Fields checked: data_characteristics.sampling_and_dimensions

#### 6. Data Provenance and Version Tracking

Can a user determine dataset versions, update history, and provenance?

- ❌ **Dataset Version Number Provided**
  - Fields checked: dataset_version, version
- ❌ **Version History Documented (release_notes)**
  - Fields checked: release_notes
- ❌ **Change Descriptions for Each Version**
  - Fields checked: release_notes.notes
- ❌ **Update Schedule or Frequency Indicated**
  - Fields checked: updates
- ❌ **Versioned Documentation or External References**
  - Fields checked: version_access, external_resources

#### 7. Scientific Motivation and Funding Transparency

Does the metadata clearly state why the dataset exists and who funded it?

- ❌ **Motivation or Rationale for Dataset Creation**
  - Fields checked: motivation
- ❌ **Primary Research Objective or Task**
  - Fields checked: intended_uses.primary
- ❌ **Funding Source or Grant Agency Listed**
  - Fields checked: funding_and_acknowledgements.funding.agency
- ❌ **Award Number or Grant ID Present**
  - Fields checked: funding_and_acknowledgements.funding.award_number
- ❌ **Acknowledgement of Platform or Participant Support**
  - Fields checked: funding_and_acknowledgements.acknowledgements

#### 8. Technical Transparency (Data Collection and Processing)

Can data collection and processing steps be replicated or understood?

- ❌ **Collection Setting or Sites Described**
  - Fields checked: collection_process.setting
- ❌ **Data Capture Method or Device Listed**
  - Fields checked: collection_process.data_capture
- ❌ **Preprocessing or Cleaning Steps Documented**
  - Fields checked: preprocessing_and_derived_data.raw_audio_processing
- ❌ **Open-Source Processing Code Provided**
  - Fields checked: software_and_tools.preprocessing_code
- ❌ **External Standards or References Cited**
  - Fields checked: references

#### 9. Dataset Evaluation and Limitations Disclosure

Does the metadata communicate known risks, biases, or dataset limitations?

- ❌ **Limitations Section Present**
  - Fields checked: limitations
- ❌ **Sampling Bias or Representativeness Noted**
  - Fields checked: composition.population, sampling_and_dimensions
- ❌ **Quality Control or Validation Steps Mentioned**
  - Fields checked: preprocessing_and_derived_data, data_quality
- ❌ **Known Risks or Use Constraints Listed**
  - Fields checked: intended_uses.usage_notes
- ❌ **Conflicts of Interest Declared**
  - Fields checked: ethics.conflicts_of_interest

#### 10. Cross-Platform and Community Integration

Does the dataset connect to wider data ecosystems, repositories, or standards?

- ❌ **Dataset Published on a Recognized Platform (e.g., PhysioNet, Dataverse, FAIRhub)**
  - Fields checked: publisher, access_and_licensing.platform
- ❌ **Cross-referenced DOIs or Related Dataset Links**
  - Fields checked: external_resources, references
- ❌ **Community Standards or Schema Reference**
  - Fields checked: conforms_to
- ❌ **Associated Outreach Materials (e.g., webinar, documentation)**
  - Fields checked: external_resources, distribution_formats
- ❌ **Similar Dataset Links or Thematic Grouping**
  - Fields checked: project, related_datasets

## Rubric20 Question Scores


### Structural Completeness

| ID | Question | Score | Status |
|----|----------|-------|--------|
| 1 | Field Completeness | 4.0/5 | ✅ |
| 2 | Entry Length Adequacy | 0.0/5 | ❌ |
| 3 | Keyword Diversity | 4.0/5 | ✅ |
| 4 | File Enumeration and Type Variety | 0.0/5 | ❌ |
| 5 | Data File Size Availability | Fail | ❌ |

### Metadata Quality & Content

| ID | Question | Score | Status |
|----|----------|-------|--------|
| 6 | Dataset Identification Metadata | Pass | ✅ |
| 7 | Funding and Acknowledgements Completeness | 0.0/5 | ❌ |
| 8 | Ethical and Privacy Declarations | 0.0/5 | ❌ |
| 9 | Access Requirements Documentation | 0.0/5 | ❌ |
| 10 | Interoperability and Standardization | 0.0/5 | ❌ |

### Technical Documentation

| ID | Question | Score | Status |
|----|----------|-------|--------|
| 11 | Tool and Software Transparency | 0.0/5 | ❌ |
| 12 | Collection Protocol Clarity | 0.0/5 | ❌ |
| 13 | Version History Documentation | 0.0/5 | ❌ |
| 14 | Associated Publications | 0.0/5 | ❌ |
| 15 | Human Subject Representation | 0.0/5 | ❌ |

### FAIRness & Accessibility

| ID | Question | Score | Status |
|----|----------|-------|--------|
| 16 | Findability (Persistent Links) | Pass | ✅ |
| 17 | Accessibility (Access Mechanism) | 0.0/5 | ❌ |
| 18 | Reusability (License Clarity) | 0.0/5 | ❌ |
| 19 | Data Integrity and Provenance | 0.0/5 | ❌ |
| 20 | Interlinking Across Platforms | Fail | ❌ |