{"id":"W1503234425","doi":"10.1002/0470011815.b2a04044","title":"Risk Assessment in Clinical Decision Making","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Biostatistics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Harm; Risk communication; Risk assessment; Risk perception; Risk analysis (engineering); Intervention (counseling); Clinical decision making; Estimation; Perception; Actuarial science; Psychology; Computer science; Medicine; Business; Intensive care medicine; Social psychology; Engineering; Computer security; Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.05041574,0.001557854,0.001565005,0.005306141,0.001322126,0.009795825,0.001672109,0.003553181,0.009756607],"category_scores_gemma":[0.1150716,0.0005106275,0.000871486,0.003450605,0.00747199,0.006272482,0.004642919,0.006372462,0.001285425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00437792,"about_ca_system_score_gemma":0.005308923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913282,"about_ca_topic_score_gemma":0.00136709,"domain_scores_codex":[0.9335003,0.05661438,0.002339507,0.001030978,0.005955492,0.0005593347],"domain_scores_gemma":[0.8675018,0.118099,0.003764938,0.002011371,0.006888581,0.001734287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001570769,0.0001056799,0.002100202,0.00140732,0.0002000314,0.0004423035,0.001430376,0.01539368,0.0001138159,0.6814236,0.02772572,0.2695002],"study_design_scores_gemma":[0.00003968013,0.00005910878,0.0005279096,0.002586742,0.00004105748,0.0002888315,0.0006337218,0.01021042,0.0001190205,0.9502154,0.03524248,0.00003561938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01207989,0.1994653,0.4429871,0.1321737,0.005272449,0.0005956935,0.0003102954,0.0002964663,0.2068191],"genre_scores_gemma":[0.6496896,0.1102469,0.2064584,0.01051019,0.007988326,0.001134273,0.0002621477,0.0001594765,0.01355085],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05041574,"threshold_uncertainty_score":0.2666271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466613946147889,"score_gpt":0.4780813017890401,"score_spread":0.3314199071742512,"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."}}