{"id":"W2808258857","doi":"10.1503/cmaj.69318","title":"Anesthesiologists provide excellent value in colonoscopy","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pace; Colonoscopy; Sedation; Value (mathematics); Medicine; Computer science; Data science; Surgery; Colorectal cancer; Internal medicine; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009723621,0.0008100009,0.00154452,0.001048226,0.005453517,0.00580761,0.002484689,0.04907953,0.01099002],"category_scores_gemma":[0.06727634,0.001040633,0.001142072,0.001118931,0.00722855,0.01044855,0.004382657,0.06421831,0.01018733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005317428,"about_ca_system_score_gemma":0.006167916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005369509,"about_ca_topic_score_gemma":0.01431032,"domain_scores_codex":[0.9898916,0.003557606,0.0009045282,0.001001652,0.003388578,0.001255938],"domain_scores_gemma":[0.9671641,0.01750256,0.002478178,0.001144688,0.005586588,0.006123829],"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":[0.0000235131,0.00001269974,0.000323121,0.00007185101,0.00001143963,0.000833647,0.0002027139,0.00001849496,0.00006374498,0.001596496,0.9885068,0.008335443],"study_design_scores_gemma":[0.00009369342,0.0001154496,0.001667356,0.001175907,0.00003122508,0.003654619,0.001068705,0.00009979129,0.0001151741,0.01101172,0.9808655,0.000100859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001074618,0.002561136,0.00003615632,0.9841064,0.01168568,0.000001753723,0.000007270721,0.00001078474,0.001483286],"genre_scores_gemma":[0.002857283,0.002455704,0.00008909929,0.9379779,0.05497556,0.000005662704,0.000008035946,0.00001897468,0.001611749],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04907953,"threshold_uncertainty_score":0.05142403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359277766507804,"score_gpt":0.2551338073067899,"score_spread":0.2415410296417118,"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."}}