{"id":"W4313887803","doi":"10.1053/j.gastro.2023.01.003","title":"Artificial Intelligence–Aided Colonoscopy for Characterizing and Detecting Colorectal Polyps: Required, Nice to Have, or Overhyped?","year":2023,"lang":"en","type":"letter","venue":"Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Université de Montréal; Vancouver General Hospital; McGill University; University of British Columbia","funders":"Université de Montréal; McGill University Health Centre; McGill University","keywords":"Colonoscopy; Nice; Medicine; Colorectal Polyp; Computer science; Artificial intelligence; Internal medicine; Colorectal cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.005903805,0.0006869847,0.001245992,0.0009184058,0.002564611,0.003719895,0.001581949,0.05538687,0.006306303],"category_scores_gemma":[0.02756343,0.0007207065,0.001260769,0.0006246257,0.002795932,0.003774927,0.001591297,0.03248598,0.004972594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003753534,"about_ca_system_score_gemma":0.005944216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112627,"about_ca_topic_score_gemma":0.03005532,"domain_scores_codex":[0.9942248,0.002506344,0.000748142,0.0004333655,0.001565758,0.0005215767],"domain_scores_gemma":[0.9792169,0.01289186,0.001110737,0.0004795408,0.003498609,0.00280246],"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":[0.0001720933,0.00009685972,0.002906962,0.000121438,0.00004616609,0.002709714,0.0001436238,0.0001433315,0.0004245006,0.003725003,0.9517083,0.03780199],"study_design_scores_gemma":[0.0002633174,0.0002164215,0.003964635,0.0007771043,0.00006864501,0.004979369,0.0006829879,0.001860398,0.0003155991,0.01722845,0.9695431,0.00009990115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000269789,0.001395611,0.000129711,0.9904882,0.005207436,0.000008969327,0.00002255454,0.00001613107,0.00246155],"genre_scores_gemma":[0.003399122,0.001531798,0.0007221181,0.9669817,0.02240626,0.00002038908,0.00002615589,0.00001353321,0.004898952],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05538687,"threshold_uncertainty_score":0.0312227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06477405471295039,"score_gpt":0.3266270942835956,"score_spread":0.2618530395706452,"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."}}