{"id":"W4253868507","doi":"10.21203/rs.2.130/v2","title":"Measuring Clinical Uncertainty and Equipoise by Applying the Agreement Study Methodology to Patient Management Decisions","year":2019,"lang":"en","type":"preprint","venue":"Research Square","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; University of Alberta Hospital","funders":"","keywords":"Clinical equipoise; Agreement; Management science; Psychology; Medical physics; Medicine; Clinical trial; Economics; Internal medicine","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":[],"category_scores_codex":[0.5183226,0.001506887,0.002426575,0.009051311,0.002344638,0.008112575,0.002934137,0.002500975,0.005063545],"category_scores_gemma":[0.7610577,0.001215394,0.003726803,0.005734048,0.01158424,0.005987148,0.009123831,0.004615218,0.0006139907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00406933,"about_ca_system_score_gemma":0.007930469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207205,"about_ca_topic_score_gemma":0.0008848272,"domain_scores_codex":[0.2764809,0.6627706,0.02451368,0.01028378,0.0248014,0.001149538],"domain_scores_gemma":[0.05559178,0.8770736,0.02867316,0.02209426,0.01578411,0.000783041],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006547178,0.001821079,0.2222716,0.01098375,0.01046397,0.0008185108,0.1024206,0.0310605,0.005396616,0.2291623,0.006376055,0.3726779],"study_design_scores_gemma":[0.001916872,0.007576416,0.11738,0.00694643,0.003265272,0.002216058,0.02461337,0.1874919,0.0218223,0.5971477,0.0283833,0.001240231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1221455,0.001659086,0.8537002,0.002036456,0.0004285575,0.004973895,0.0005043788,0.0002067357,0.01434512],"genre_scores_gemma":[0.6805075,0.0003858934,0.310507,0.0005090928,0.0002368444,0.007110502,0.0001935459,0.00008528567,0.0004642312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5183226,"threshold_uncertainty_score":0.593994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4614602333211095,"score_gpt":0.5527308301765036,"score_spread":0.09127059685539407,"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."}}