{"id":"W4308635939","doi":"10.1503/cmaj.220034","title":"Artificial intelligence in colorectal cancer screening","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Colorectal cancer; Fecal occult blood; Medicine; Feces; Colonoscopy; Colorectal cancer screening; Test (biology); Occult; Cancer; Internal medicine; Pathology; Alternative medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001881461,0.000427109,0.0003994261,0.001340411,0.0004367707,0.002101341,0.0007276505,0.001506975,0.006744025],"category_scores_gemma":[0.01130559,0.000161543,0.000339609,0.001373224,0.001298997,0.001611971,0.0008726236,0.002056983,0.001346954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249384,"about_ca_system_score_gemma":0.001342972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006022514,"about_ca_topic_score_gemma":0.004215354,"domain_scores_codex":[0.9984621,0.0009068412,0.00006194981,0.0001468959,0.0003514522,0.0000708341],"domain_scores_gemma":[0.9936011,0.005207666,0.0002610395,0.0001615336,0.0005468231,0.0002217646],"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":[0.0001953329,0.0001753454,0.01107245,0.001550227,0.0001736823,0.0004421619,0.000224719,0.02524189,0.0005030454,0.1128425,0.1044185,0.7431601],"study_design_scores_gemma":[0.00006608383,0.0003182458,0.01094904,0.002440922,0.0001375456,0.001323621,0.0007130509,0.1037656,0.0008617432,0.6667402,0.2125729,0.000111024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0227666,0.3598528,0.1520343,0.2159674,0.005587995,0.000332485,0.001364972,0.001255233,0.2408383],"genre_scores_gemma":[0.6558055,0.1771544,0.109546,0.01947726,0.006584814,0.0003271142,0.001315776,0.0001461461,0.02964303],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006744025,"threshold_uncertainty_score":0.02256101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971125829711355,"score_gpt":0.2823722638142277,"score_spread":0.2626610055171141,"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."}}