{"id":"W3081089509","doi":"10.1186/s12874-020-01095-8","title":"Measuring clinical uncertainty and equipoise by applying the agreement study methodology to patient management decisions","year":2020,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Alberta Hospital; Centre Hospitalier de l’Université de Montréal; Health Sciences Centre; Ottawa Hospital","funders":"","keywords":"Reliability (semiconductor); Clinical equipoise; Dilemma; Medicine; Warrant; Clinical trial; Randomized controlled trial; Inter-rater reliability; Variety (cybernetics); Portfolio; Medical physics; Computer science; Psychology; Artificial intelligence; Rating scale; Surgery; Pathology; Mathematics","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":[0.6811689,0.00243474,0.004864898,0.01736111,0.003212763,0.0111229,0.006129699,0.005065929,0.004399543],"category_scores_gemma":[0.8225554,0.001835878,0.008371887,0.009918408,0.01995745,0.01101858,0.01457693,0.007091357,0.0005920691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00738526,"about_ca_system_score_gemma":0.01200853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356193,"about_ca_topic_score_gemma":0.00106828,"domain_scores_codex":[0.1247198,0.8027306,0.03385608,0.009515649,0.02831176,0.0008661374],"domain_scores_gemma":[0.03757632,0.900021,0.02775506,0.02232605,0.0116647,0.0006567942],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002816347,0.0009451091,0.1184855,0.01930438,0.01477605,0.0009194945,0.05691511,0.03449877,0.002422957,0.4053951,0.005881393,0.3376397],"study_design_scores_gemma":[0.001181851,0.004381032,0.03438101,0.008003972,0.00384859,0.002070218,0.009937885,0.09443217,0.006446561,0.8086398,0.02561717,0.001059731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02437252,0.002886601,0.9547202,0.003660245,0.0003968775,0.004946718,0.0003320806,0.0001160784,0.008568647],"genre_scores_gemma":[0.3354588,0.0008878006,0.6480709,0.001320369,0.0004675834,0.01324705,0.0002090498,0.00007803409,0.0002604034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3188311,"threshold_uncertainty_score":0.3931756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7981267890516146,"score_gpt":0.6120079939446796,"score_spread":0.186118795106935,"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."}}