{"id":"W2965357874","doi":"10.1097/sla.0000000000003510","title":"Surgical Data Recording Technology","year":2019,"lang":"en","type":"article","venue":"Annals of Surgery","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Data recording; Instrumentation (computer programming); Data logger; Patient safety; Data science; Medical physics; Computer science; Health care; Computer hardware","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":[0.005631702,0.00118345,0.0007214514,0.003226409,0.001057874,0.005038544,0.002818155,0.001851635,0.04123612],"category_scores_gemma":[0.01717304,0.0005402901,0.0006234769,0.003503583,0.001208059,0.004642392,0.00328421,0.002242938,0.035593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009396958,"about_ca_system_score_gemma":0.002884816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625876,"about_ca_topic_score_gemma":0.0008135565,"domain_scores_codex":[0.9931498,0.001167077,0.0008744402,0.001129024,0.003454368,0.0002253541],"domain_scores_gemma":[0.9795099,0.005874215,0.001721878,0.004088305,0.008019086,0.0007866308],"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":[0.000607179,0.000105222,0.005683711,0.002247744,0.00007599069,0.0005433063,0.0011212,0.0007972085,0.03109582,0.02084037,0.1554457,0.7814366],"study_design_scores_gemma":[0.0001216473,0.0004633756,0.007284688,0.001390245,0.0001413872,0.003590402,0.0006506852,0.004690535,0.05561926,0.009351335,0.9164926,0.0002038572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02233907,0.01450787,0.6737143,0.01718041,0.007694917,0.002252341,0.02212589,0.03431549,0.2058697],"genre_scores_gemma":[0.2463021,0.02458743,0.4845103,0.01493232,0.00808405,0.003606296,0.032835,0.005811866,0.1793306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04123612,"threshold_uncertainty_score":0.1379486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2941647982719008,"score_gpt":0.3876724186774888,"score_spread":0.09350762040558802,"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."}}