{"id":"W4404965869","doi":"10.51731/cjht.2024.1036","title":"Artificial Intelligence–Assisted Colonoscopy for Detecting Polyps, Adenomas, Precancerous Lesions, and Colorectal Cancer","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colonoscopy; Medicine; Colorectal cancer; Randomized controlled trial; Gold standard (test); MEDLINE; Cost effectiveness; Cancer; Internal medicine","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":[0.02351853,0.001080994,0.007240687,0.01529305,0.0007075324,0.004036448,0.002284535,0.003376618,0.00442875],"category_scores_gemma":[0.1125858,0.001112403,0.007053362,0.01107769,0.001692626,0.004898507,0.001673066,0.002314063,0.0005216753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004745731,"about_ca_system_score_gemma":0.01237632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007923333,"about_ca_topic_score_gemma":0.01803085,"domain_scores_codex":[0.974378,0.01004838,0.009923428,0.0009181401,0.004426028,0.0003059084],"domain_scores_gemma":[0.880936,0.09190281,0.01444305,0.001262577,0.01086023,0.0005953906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003324907,0.00001905466,0.0007639072,0.8771451,0.005639403,0.0001097053,0.0002125974,0.0001021927,0.000220619,0.0009798908,0.005588438,0.1088866],"study_design_scores_gemma":[0.0003140278,0.0002554187,0.002781899,0.9337044,0.02189205,0.0003295345,0.0002366979,0.0001296787,0.0001801727,0.001264476,0.03886537,0.00004619694],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000338317,0.9961279,0.0001612,0.002010677,0.0004501576,0.0002555557,0.0001909138,0.000008645775,0.0004567367],"genre_scores_gemma":[0.008765544,0.983261,0.002013128,0.004225518,0.0006361279,0.0006894266,0.0001655365,0.000009185329,0.0002344287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02351853,"threshold_uncertainty_score":0.1243794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0641731189824856,"score_gpt":0.3514271536074059,"score_spread":0.2872540346249203,"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."}}