{"id":"W4393344070","doi":"10.1177/17407745241238393","title":"Society for Clinical Trials Data Monitoring Committee initiative website: Closing the gap","year":2024,"lang":"en","type":"letter","venue":"Clinical Trials","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Population Health Research Institute","funders":"U.S. Food and Drug Administration","keywords":"Closing (real estate); Data monitoring committee; Clinical trial; Medicine; Family medicine; Political science; Internal medicine; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09969328,0.002175112,0.006677539,0.003657665,0.01190582,0.02771699,0.008562495,0.2007679,0.02891197],"category_scores_gemma":[0.2351847,0.00349773,0.004981927,0.006969117,0.009525328,0.01534018,0.00878681,0.1115434,0.03744487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01295362,"about_ca_system_score_gemma":0.04253086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107219,"about_ca_topic_score_gemma":0.02373737,"domain_scores_codex":[0.9015006,0.03628509,0.01331212,0.007295507,0.03413584,0.00747083],"domain_scores_gemma":[0.6464348,0.2227871,0.02313535,0.01339327,0.04248549,0.05176396],"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":[0.00005000717,0.00003449832,0.0002249723,0.00004405746,0.00001876262,0.0001581033,0.00003500512,0.00003099965,0.00006274704,0.001825458,0.9938574,0.003658043],"study_design_scores_gemma":[0.0004899226,0.00008450935,0.001899525,0.000528117,0.00008310661,0.00025958,0.0001820381,0.0007022417,0.0001944688,0.01092798,0.9845204,0.0001281359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001253647,0.0005052016,0.0003324742,0.9759877,0.01700918,0.00007200077,0.0003592168,0.0001361823,0.005472779],"genre_scores_gemma":[0.0007926896,0.0003255702,0.0008235259,0.9512382,0.0346645,0.0002283429,0.000197981,0.0001215133,0.01160767],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2007679,"threshold_uncertainty_score":0.5272347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9633881699793474,"score_gpt":0.7446692026345262,"score_spread":0.2187189673448212,"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."}}