{"id":"W3014012274","doi":"10.1053/j.gastro.2020.03.038","title":"Hype or Reality? Will Artificial Intelligence Actually Make Us Better at Performing Optical Biopsy of Colon Polyps?","year":2020,"lang":"en","type":"letter","venue":"Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Vancouver General Hospital","funders":"","keywords":"Reading (process); Artificial intelligence; Convolutional neural network; Colonoscopy; Medicine; Space (punctuation); Computer science; Psychology; Colorectal cancer; Internal medicine; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004482914,0.0005742438,0.0009592167,0.0007689862,0.004119165,0.005244923,0.001263913,0.06512792,0.01151187],"category_scores_gemma":[0.02752466,0.0005737154,0.001012502,0.000485743,0.00433005,0.005322983,0.001625328,0.03598522,0.007535093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004452715,"about_ca_system_score_gemma":0.005932832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043428,"about_ca_topic_score_gemma":0.02276953,"domain_scores_codex":[0.9963521,0.001230347,0.0003633516,0.0003060399,0.00116158,0.0005866181],"domain_scores_gemma":[0.9841653,0.008381283,0.0009199789,0.0003667088,0.002824466,0.003342117],"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":[0.00009820204,0.00008488933,0.001688699,0.00007021042,0.00002943343,0.002126338,0.0002273031,0.00008208155,0.0003088967,0.007813544,0.9697776,0.01769291],"study_design_scores_gemma":[0.0001539487,0.0001255056,0.001561595,0.0003266754,0.00003424518,0.002319745,0.001124575,0.0007804157,0.0002235771,0.02837153,0.9648975,0.00008070927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001923417,0.0004728982,0.00004448774,0.9923563,0.004468858,0.000003241462,0.00001237159,0.000006514565,0.002443057],"genre_scores_gemma":[0.003005106,0.0007437136,0.0002274873,0.969359,0.01881611,0.00001317975,0.00001274161,0.000009730873,0.007812891],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06512792,"threshold_uncertainty_score":0.03851104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413232533548773,"score_gpt":0.2873034912231945,"score_spread":0.2431711658877068,"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."}}