{"id":"W4200267682","doi":"10.1055/a-1561-6046","title":"Commentary","year":2021,"lang":"en","type":"letter","venue":"Endoscopy","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colonoscopy; Medicine; Adenoma; Artificial intelligence; Optimism; General surgery; Surgery; Internal medicine; Colorectal cancer; Computer science; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004191237,0.0001605998,0.0003047618,0.00008256926,0.00004582136,0.00002001242,0.00005112106,0.0003324704,0.0009741825],"category_scores_gemma":[0.00002285691,0.0001538005,0.0001491937,0.0001218906,0.00002682883,0.00001909752,0.00003754601,0.001426285,0.00007945747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001410129,"about_ca_system_score_gemma":0.00007882421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000209988,"about_ca_topic_score_gemma":0.00001037811,"domain_scores_codex":[0.9990901,0.00004372107,0.0001351364,0.0002717622,0.0002571197,0.0002022002],"domain_scores_gemma":[0.9994901,0.00005812495,0.00005016904,0.000314262,0.00004219042,0.00004519489],"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":[0.0001852185,0.000009969942,0.000260482,0.0001043925,0.00007292151,0.001042314,0.00002262894,8.723516e-8,0.000114841,2.396408e-7,0.9961735,0.0020134],"study_design_scores_gemma":[0.0005223892,0.0006110987,0.0001713239,0.0002170641,0.0001194548,0.00007819825,0.00001071244,0.000008007576,0.005111151,0.00001090028,0.993019,0.0001206476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001591732,0.001376334,0.0001563305,0.9848777,0.001500814,0.0001741884,0.00001871646,0.0001495624,0.01015464],"genre_scores_gemma":[0.001340841,0.00006311251,0.001264897,0.9792016,0.008831734,0.00003758036,0.0008170991,0.00004136104,0.008401761],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.007330921,"threshold_uncertainty_score":0.9999391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352239712389866,"score_gpt":0.2842418856666084,"score_spread":0.2607194885427097,"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."}}