{"id":"W2080493582","doi":"10.1097/aln.0b013e31828e13e9","title":"Multivariable Risk Prediction Models","year":2013,"lang":"en","type":"letter","venue":"Anesthesiology","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"","keywords":"Medicine; Multivariable calculus; Intensive care 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":[],"consensus_categories":[],"category_scores_codex":[0.009034865,0.002368965,0.001805364,0.002386394,0.0006517227,0.004077406,0.003668495,0.002011518,0.01507657],"category_scores_gemma":[0.03407115,0.000852483,0.002670097,0.002502987,0.0004759351,0.002318541,0.002758925,0.004313447,0.005021905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532154,"about_ca_system_score_gemma":0.001820529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00736448,"about_ca_topic_score_gemma":0.006376826,"domain_scores_codex":[0.9937489,0.003271747,0.0003955699,0.0009052682,0.001333698,0.000344921],"domain_scores_gemma":[0.9807356,0.01511053,0.001131694,0.0008145231,0.001980992,0.0002266766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003192885,0.0003286601,0.03659797,0.0007794013,0.001432949,0.0003050175,0.0002096377,0.1943823,0.0002065933,0.0729989,0.2418759,0.4505633],"study_design_scores_gemma":[0.0001267091,0.0001335638,0.004416353,0.0003400398,0.0003767764,0.0003350516,0.00008458578,0.7478259,0.0002851097,0.1378578,0.1080894,0.0001288132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01341749,0.01507913,0.904595,0.02689108,0.005128658,0.000567721,0.01114216,0.004938492,0.01824032],"genre_scores_gemma":[0.4623521,0.02456331,0.4247558,0.01143701,0.01390743,0.002085451,0.0329693,0.002201173,0.02572836],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01507657,"threshold_uncertainty_score":0.0504362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2381413369351106,"score_gpt":0.397715782952248,"score_spread":0.1595744460171374,"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."}}