{"id":"W4387495863","doi":"10.1097/aln.0000000000004772","title":"Science, Medicine, and the Anesthesiologist","year":2023,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005355868,0.001021022,0.001889277,0.003653858,0.002257642,0.009923231,0.001493982,0.007635855,0.05731778],"category_scores_gemma":[0.03125878,0.0004748185,0.0008649547,0.004853102,0.003225072,0.005150729,0.002939437,0.009515845,0.01400101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004158593,"about_ca_system_score_gemma":0.009531872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956334,"about_ca_topic_score_gemma":0.004344442,"domain_scores_codex":[0.9954941,0.001693432,0.0006595909,0.0003962712,0.001455095,0.0003015081],"domain_scores_gemma":[0.9724052,0.01444527,0.002073292,0.0008817081,0.007009229,0.003185277],"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":[0.0000727416,0.00003048332,0.0002386983,0.003970995,0.00004814562,0.00004791051,0.0001541716,0.00002044599,0.00005542742,0.004497685,0.9033359,0.0875273],"study_design_scores_gemma":[0.00006896498,0.00003017607,0.0007537876,0.007005776,0.00004899269,0.0001055802,0.0002403843,0.00000790096,0.00002421284,0.00363574,0.9880682,0.000010174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0001792567,0.5189779,0.0001215648,0.2844462,0.1757469,0.00004566247,0.0001428975,0.00002066549,0.02031892],"genre_scores_gemma":[0.004590557,0.4848646,0.0003297928,0.2072564,0.2881607,0.0001363129,0.0001977733,0.00003783912,0.01442603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9977424,"threshold_uncertainty_score":0.1917471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07730240078163705,"score_gpt":0.277821153293973,"score_spread":0.2005187525123359,"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."}}