{"id":"W3208185003","doi":"10.1371/journal.pmed.1003844","title":"Medical journal requirements for clinical trial data sharing: Ripe for improvement","year":2021,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"U.S. Food and Drug Administration; Svenska Läkaresällskapet; Uppsala Universitet; Agence Nationale de la Recherche; Laura and John Arnold Foundation","keywords":"Clinical trial; Data sharing; Medicine; Medical research; MEDLINE; Medical physics; Computer science; Intensive care medicine; Alternative medicine; Internal medicine; Pathology; Political science","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","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05259684,0.0001719491,0.0006349487,0.0001957803,0.0003957824,0.0004210594,0.004668831,0.0001015584,0.001822164],"category_scores_gemma":[0.158046,0.0001102318,0.0001741158,0.0005061572,0.0002079751,0.0003151365,0.002498207,0.0002651746,0.00005308706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004490216,"about_ca_system_score_gemma":0.0004283894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004688747,"about_ca_topic_score_gemma":0.00002049689,"domain_scores_codex":[0.9907913,0.0001794362,0.002583178,0.001730137,0.004219134,0.0004968367],"domain_scores_gemma":[0.9880077,0.00552272,0.0007539839,0.003930911,0.001126534,0.0006581334],"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":[0.001592547,0.0004404823,0.0003218263,0.00001756589,0.0001199384,0.00002591959,0.00006080875,8.476393e-7,0.00005758173,0.0005210187,0.7206417,0.2761998],"study_design_scores_gemma":[0.0593395,0.001779484,0.0002736639,0.0002261754,0.0002340944,0.00001767981,0.0007868343,0.06939226,0.00007269716,0.01930624,0.8483716,0.0001997262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1018215,0.001454391,0.6876029,0.1257737,0.07213333,0.004666449,0.0004866448,0.000173999,0.005887059],"genre_scores_gemma":[0.4296526,0.002550616,0.1762159,0.07092391,0.1609744,0.0009643747,0.009208607,0.0003820462,0.1491276],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5113871,"threshold_uncertainty_score":0.9990903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8190380121808613,"score_gpt":0.6040124694654445,"score_spread":0.2150255427154167,"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."}}