{"id":"W2913713220","doi":"10.1177/0272989x18823757","title":"Physician and Nonphysician Estimates of Positive Predictive Value in Diagnostic v. Mass Screening Mammography: An Examination of Bayesian Reasoning","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Test (biology); Mammography; Asymptomatic; Predictive value; Overdiagnosis; Bayesian probability; Gynecology; Statistics; Surgery; Internal medicine; Breast cancer; Cancer; 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":[],"category_scores_codex":[0.1416768,0.0005634718,0.0008679231,0.005000253,0.000778168,0.004311454,0.001422557,0.002591845,0.003498322],"category_scores_gemma":[0.5660603,0.0007551749,0.001650349,0.001684459,0.004457298,0.004716887,0.003335225,0.001972831,0.0003242426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002657185,"about_ca_system_score_gemma":0.001365401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628537,"about_ca_topic_score_gemma":0.001824679,"domain_scores_codex":[0.8726,0.1020125,0.005278537,0.00436524,0.01443434,0.001309487],"domain_scores_gemma":[0.3104958,0.6498861,0.0241493,0.006444951,0.007383801,0.001640045],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006906996,0.00103181,0.7816151,0.0009541873,0.002169807,0.0006606841,0.0252011,0.01942922,0.0009235035,0.02125513,0.002101771,0.1377508],"study_design_scores_gemma":[0.001288258,0.003690226,0.7127488,0.001299822,0.001330223,0.002151463,0.01266435,0.1278893,0.001852335,0.1291111,0.005567003,0.000407179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256136,0.00269307,0.04787281,0.003769867,0.00008718142,0.0006564186,0.0002316437,0.00008475619,0.01899071],"genre_scores_gemma":[0.993266,0.0002483859,0.005606458,0.0004905395,0.00005425809,0.0001475756,0.00006388614,0.000006872331,0.0001159978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8583232,"threshold_uncertainty_score":0.7492676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754007181035814,"score_gpt":0.3230832364258559,"score_spread":0.3055431646154977,"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."}}