{"id":"W4230513727","doi":"10.1097/aln.0000000000003013","title":"Science, Medicine, and the Anesthesiologist","year":2019,"lang":"en","type":"article","venue":"Anesthesiology","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Anesthesiology; Anesthesia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005075097,0.0006378739,0.001329622,0.003329895,0.001986702,0.006982689,0.001039168,0.004818408,0.03920231],"category_scores_gemma":[0.02557162,0.0003699246,0.0009594932,0.003868967,0.002304654,0.00371482,0.002168573,0.005086572,0.004898458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003354118,"about_ca_system_score_gemma":0.007460908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002682534,"about_ca_topic_score_gemma":0.00452392,"domain_scores_codex":[0.9960486,0.001986347,0.0005178914,0.0002646384,0.0009397587,0.0002426889],"domain_scores_gemma":[0.9762748,0.01466824,0.002211132,0.0005438196,0.004103926,0.002198082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003328804,0.0001241532,0.001281931,0.01558781,0.0002544179,0.0001339644,0.0005986092,0.00004966538,0.0001479036,0.007904042,0.7109722,0.2626124],"study_design_scores_gemma":[0.0002634798,0.000160357,0.004596688,0.02012283,0.0002173983,0.0002630588,0.0009233161,0.0000161031,0.0000803152,0.007203014,0.9661311,0.00002225411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0007380237,0.6536829,0.0001173826,0.2492357,0.07733754,0.00006277121,0.0001753823,0.0000150132,0.01863522],"genre_scores_gemma":[0.01655369,0.6458957,0.0004455307,0.1907959,0.1357594,0.0002517544,0.0002424384,0.00002576045,0.01002972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03920231,"threshold_uncertainty_score":0.1311448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722977208187857,"score_gpt":0.2460087250313862,"score_spread":0.2087789529495077,"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."}}