{"id":"W1986710173","doi":"10.1016/s0197-2456(03)00103-x","title":"The role of the data coordinating center in the DIG trial","year":2003,"lang":"en","type":"article","venue":"Controlled Clinical Trials","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton General Hospital","funders":"National Heart, Lung, and Blood Institute; U.S. Department of Veterans Affairs","keywords":"Dig; Digitalis; Veterans Affairs; Heart failure; Clinical trial; Ejection fraction; Medicine; Randomized controlled trial; Center (category theory); Computer science; Internal medicine; Computer security","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":[0.6504929,0.003697324,0.02345112,0.01095177,0.006114664,0.03471007,0.01265702,0.01564228,0.01572954],"category_scores_gemma":[0.7261325,0.007341404,0.006734421,0.02672727,0.008181682,0.02451191,0.01189317,0.02305475,0.007081751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01292542,"about_ca_system_score_gemma":0.111324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007813404,"about_ca_topic_score_gemma":0.007735234,"domain_scores_codex":[0.2148421,0.6287242,0.09365051,0.03066544,0.02702687,0.005090798],"domain_scores_gemma":[0.1305398,0.427391,0.1127574,0.1574999,0.1447995,0.02701255],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04173769,0.0006002295,0.02098442,0.03028998,0.01064329,0.0005829947,0.00348459,0.002899603,0.001374914,0.04896709,0.5576986,0.2807366],"study_design_scores_gemma":[0.1021994,0.002298584,0.01856851,0.03333911,0.02675923,0.0008890918,0.002382394,0.0201598,0.00651249,0.07113297,0.7141013,0.001657169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01574947,0.07360335,0.2682765,0.4359044,0.09988941,0.04446091,0.02063821,0.005223121,0.03625463],"genre_scores_gemma":[0.1572933,0.02283593,0.5332124,0.1101972,0.03660073,0.116355,0.009372207,0.004875784,0.009257467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3495071,"threshold_uncertainty_score":0.4310045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9441819685772945,"score_gpt":0.6842715447334784,"score_spread":0.2599104238438161,"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."}}