{"id":"W2964433462","doi":"10.1177/1740774519865528","title":"Access to clinical trial data—Commentary","year":2019,"lang":"en","type":"letter","venue":"Clinical Trials","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; McMaster University; Population Health Research Institute","funders":"","keywords":"Clinical trial; Medicine; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity","insufficient_payload"],"category_scores_codex":[0.4553695,0.0008224667,0.01349767,0.0006538093,0.0001926941,0.0008198686,0.006389767,0.003818551,0.004297617],"category_scores_gemma":[0.3580146,0.0009174032,0.002198787,0.0003482255,0.0002525432,0.001091016,0.002333419,0.004639975,0.04759558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555893,"about_ca_system_score_gemma":0.0008975745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000449364,"about_ca_topic_score_gemma":0.00004181615,"domain_scores_codex":[0.9044991,0.02622314,0.06267881,0.004744873,0.0004700737,0.001383971],"domain_scores_gemma":[0.7778134,0.1835696,0.02800075,0.009558438,0.0002003226,0.0008574991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00212419,0.0003069274,0.006732426,0.0003009264,0.0007308924,0.00001425836,0.00002308556,0.000003618804,5.752994e-9,0.0001945973,0.9879496,0.001619515],"study_design_scores_gemma":[0.03272557,0.0008070553,0.001143827,0.0002320654,0.0001351026,0.000001641554,0.00001745821,0.0001983303,5.102917e-8,0.003688102,0.9601084,0.00094241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001216042,0.0008647672,0.001113073,0.9187228,0.05678018,0.008788422,0.01005534,0.0001320754,0.002327295],"genre_scores_gemma":[0.00005613353,0.0007081102,0.001796894,0.8480653,0.1412087,0.0003083717,0.004143175,0.0001777446,0.00353559],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1573464,"threshold_uncertainty_score":0.9993277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.972403193449343,"score_gpt":0.7254756075490935,"score_spread":0.2469275859002495,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}