{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000401566,0.0004783067,0.0009843734,0.0005578042,0.000223631,0.00007656442,0.0001723051,0.0007551503,0.00004285294],"category_scores_gemma":[0.0006922774,0.0004547421,0.0002155021,0.0002367743,0.0001350056,0.00007732324,0.0002009936,0.001236648,0.00004178468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269139,"about_ca_system_score_gemma":0.0001216687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891805,"about_ca_topic_score_gemma":0.001279805,"domain_scores_codex":[0.9968373,0.0001289081,0.0007272708,0.001007607,0.0002660731,0.001032883],"domain_scores_gemma":[0.998525,0.000468387,0.0003186002,0.0003311377,0.0001533657,0.0002035718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.5412244,0.0001802505,0.01111793,0.001998405,0.001428835,0.002242052,0.001850787,0.00002127075,0.04753265,0.00000659238,0.3351345,0.05726236],"study_design_scores_gemma":[0.006945149,0.4619694,0.01911573,0.003874014,0.003558753,0.01184944,0.002847575,0.009861934,0.08206512,0.0008655851,0.3937421,0.003305172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7957525,0.00003122219,0.007443955,0.1917635,0.002552942,0.001835341,0.0002005855,0.0003847423,0.00003527325],"genre_scores_gemma":[0.4642042,0.00005708537,0.006755039,0.5091252,0.01504041,0.001891614,0.000682216,0.0003990565,0.001845191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5342792,"threshold_uncertainty_score":0.9997904,"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."}}