{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001723771,0.00008652849,0.0001931915,0.0003826072,0.0004180105,0.00003861548,0.0001163246,0.0001392599,0.009678203],"category_scores_gemma":[0.000832322,0.00009302128,0.00008812924,0.0006920221,0.0000217637,0.00006311374,0.00002848604,0.001710384,0.0000177148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003104273,"about_ca_system_score_gemma":0.003116621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01557004,"about_ca_topic_score_gemma":0.1219927,"domain_scores_codex":[0.9975383,0.0001701764,0.0003903127,0.0001591933,0.001329082,0.0004129542],"domain_scores_gemma":[0.9987326,0.00009862317,0.0001337844,0.000044179,0.0001451954,0.0008456234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007458303,0.0000632828,0.1568262,0.000006186005,0.00008457244,0.001196167,0.0007509537,0.0008977577,0.0001159354,0.0001608829,0.009155893,0.8299963],"study_design_scores_gemma":[0.002226237,0.00391479,0.5320781,0.0003470626,0.0001470616,0.007326843,0.009663729,0.08175367,0.001646868,0.001784132,0.3581409,0.0009705398],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621364,0.0004130689,0.0009955812,0.03217661,0.001613903,0.0001831428,0.00002391843,0.00003397423,0.002423391],"genre_scores_gemma":[0.994687,0.00004103923,0.0001511923,0.003829619,0.001077686,0.00004754381,0.000006059864,0.00001282522,0.0001469935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8290257,"threshold_uncertainty_score":0.9912271,"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."}}