Additional file 9 of Development of consensus-driven SPIRIT and CONSORT extensions for early phase dose-finding trials: the DEFINE study
Bibliographic record
Abstract
Additional file 9. Perception of proposed items and sensitivity analysis: Tables A9-1 – A9-3, Figures A9-1 – A9-13. Table A9-1. Summary of categorical and numerical ratings at Round One and 2. Figure A9-1. Percentage of participants changing their numerical scores at Round Two. Figure A9-2. Percentage of participants changing their categorical scores at Round Two. Table A9-2. Number of participants changing their ratings between Round One and Round Two. Table A9-3. Frequency and percentage of perfect agreement. Figure A9-3. Stacked bar plots of candidate item [17 SPIRIT-DEFINE] “Planned dosing regimens presented as a diagram or table, where applicable” by stakeholders. Figure A9-4. Stacked bar plots of candidate item [18 CONSORT-DEFINE] “Planned and delivered dosing regimens presented as a diagram or table, where applicable” by stakeholders. Figure A9-5. Stacked bar plots of candidate item [48 SPIRIT-DEFINE] “Statistical methods for additional analyses” by stakeholders. Figure A9-6. Stacked bar plots of candidate item [69 CONSORT-DEFINE] “Specify if and when results were reported whilst the trial was still ongoing” by stakeholders. Figure A9-7. Stacked bar plots of candidate item [70 SPIRIT-DEFINE] “Where the full trial protocol or the redacted version, with amendments, can be accessed” by stakeholders. Figure A9-8. Stacked bar plots of candidate item [17 SPIRIT-DEFINE] “Planned dosing regimens presented as a diagram or table, where applicable” by Continent. Figure A9-9. Stacked bar plots of candidate item [18 CONSORT-DEFINE] “Planned and delivered dosing regimens presented as a diagram or table, where applicable” by Continent. Figure A9-10. Stacked bar plots of candidate item [48 SPIRIT-DEFINE] “Statistical methods for additional analyses” by Continent. Figure A9-11. Stacked bar plots of candidate item [69 CONSORT-DEFINE] “Specify if and when results were reported whilst the trial was still ongoing” by Continent. Figure A9-12. Stacked bar plots of candidate item [70 SPIRIT-DEFINE] “Where the full trial protocol or the redacted version, with amendments, can be accessed” by Continent. Figure A9-13. Stacked bar plots of candidate item [5 SPIRIT-DEFINE] “Summary of findings from existing correlative biomarker, correlative and associated studies to support planned biomarker sub-study” by Continent.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.645 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.810 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".