{"id":"W2979810324","doi":"10.1016/j.tgie.2019.150639","title":"Can artificial intelligence accurately diagnose endoscopically curable gastrointestinal cancers?","year":2019,"lang":"en","type":"article","venue":"Techniques and Innovations in Gastrointestinal Endoscopy","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Endoscopic submucosal dissection; Endoscopic mucosal resection; Medicine; Resection; Dissection (medical); Endoscopy; Surgery","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":[0.002614281,0.0005743445,0.0007280619,0.002269131,0.0002470034,0.002953763,0.0008085245,0.001317927,0.00212031],"category_scores_gemma":[0.02192113,0.0001804475,0.0006686269,0.001113939,0.001100211,0.003498162,0.0008583533,0.001397121,0.0008071893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006708858,"about_ca_system_score_gemma":0.0007676807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111321,"about_ca_topic_score_gemma":0.002564817,"domain_scores_codex":[0.9985251,0.0005363993,0.0001885675,0.0001613179,0.0004374257,0.000151267],"domain_scores_gemma":[0.9923275,0.003959753,0.00164039,0.0005230701,0.001322675,0.0002266394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007695981,0.0004562754,0.5355925,0.00127208,0.0006041485,0.001017923,0.0005000773,0.006487458,0.002985875,0.0112415,0.01253693,0.4265357],"study_design_scores_gemma":[0.0003377279,0.002436248,0.5711799,0.004956702,0.002113272,0.008521201,0.005099876,0.1140016,0.01538121,0.162422,0.1132364,0.0003139638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6245972,0.1131717,0.0787757,0.0801856,0.005831262,0.0003382886,0.002137208,0.0007126999,0.09425041],"genre_scores_gemma":[0.9600378,0.01377813,0.01877142,0.003402772,0.001672381,0.00004693772,0.0005340553,0.00002547624,0.001731031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002953763,"threshold_uncertainty_score":0.01382577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04065685101390858,"score_gpt":0.3274856065839267,"score_spread":0.2868287555700181,"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."}}