{"id":"W4366140941","doi":"10.1007/s43441-023-00520-6","title":"The Data Monitoring Committee: A Collective or a Collection?","year":2023,"lang":"en","type":"article","venue":"Therapeutic Innovation & Regulatory Science","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"","keywords":"Session (web analytics); Unitary state; Pharmacy; Process (computing); Data collection; Psychology; Political science; Computer science; Public relations; Medical education; Operations research; Medicine; Family medicine; Law; Sociology; Engineering; World Wide Web","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5232502,0.001710489,0.007731389,0.005223955,0.010997,0.02297825,0.008063746,0.01727285,0.01913322],"category_scores_gemma":[0.685472,0.003343366,0.003214077,0.008849993,0.01753803,0.02394317,0.01480693,0.03477567,0.01230713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007228434,"about_ca_system_score_gemma":0.07253117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003879697,"about_ca_topic_score_gemma":0.002835676,"domain_scores_codex":[0.5122882,0.3084487,0.08114898,0.02687007,0.05987205,0.01137209],"domain_scores_gemma":[0.16514,0.3419307,0.05956207,0.2427069,0.1547579,0.03590252],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000630362,0.0002023039,0.004756926,0.001577351,0.0004210183,0.0001700265,0.002616061,0.0002993127,0.0005500233,0.1245742,0.7402747,0.1239276],"study_design_scores_gemma":[0.0008505835,0.0002470356,0.006075575,0.005339225,0.0006101824,0.0004590949,0.002400897,0.002301059,0.001759751,0.1068105,0.8727879,0.0003581936],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003311433,0.006725878,0.1456216,0.7544216,0.06013361,0.003411058,0.002543799,0.001389853,0.02244134],"genre_scores_gemma":[0.1151047,0.008551739,0.230944,0.4541765,0.09941848,0.02665111,0.006007608,0.003965215,0.0551808],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4767498,"threshold_uncertainty_score":0.5879174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7390566231936863,"score_gpt":0.5887758607498497,"score_spread":0.1502807624438366,"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."}}