{"id":"W4385658507","doi":"10.1097/aln.0000000000004693","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":1,"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":[0.002957394,0.0009187235,0.001330993,0.004455326,0.002275015,0.007950038,0.001263587,0.006757268,0.06890395],"category_scores_gemma":[0.0209032,0.0004807715,0.000760957,0.005107009,0.002174575,0.00502205,0.002934674,0.007117438,0.01761818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256513,"about_ca_system_score_gemma":0.007832876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002817683,"about_ca_topic_score_gemma":0.005840337,"domain_scores_codex":[0.9969919,0.0008532688,0.0004686599,0.0002945086,0.00108467,0.0003070863],"domain_scores_gemma":[0.9841246,0.005385742,0.001587952,0.0005242623,0.004754274,0.00362312],"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":[0.0000244432,0.00002309088,0.000402897,0.001674538,0.00002052522,0.00008984913,0.0001782347,0.00001706476,0.00006864085,0.001800875,0.9162713,0.07942851],"study_design_scores_gemma":[0.00001885097,0.00002290895,0.001472069,0.003481433,0.00001778769,0.0002035567,0.000325002,0.00000664865,0.00002089177,0.001608005,0.9928144,0.000008572965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0003876829,0.383627,0.0001351373,0.3043999,0.2765929,0.00006035011,0.0002293565,0.00003387223,0.03453381],"genre_scores_gemma":[0.005592592,0.432982,0.0002968008,0.136875,0.3941977,0.0001112226,0.0002908485,0.00004000591,0.02961395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.997725,"threshold_uncertainty_score":0.2305067,"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."}}