{"id":"W3176208157","doi":"10.1053/j.gastro.2021.06.071","title":"Move Over, Colon. It’s Time for the Esophagus to Take Center Stage for Artificial Intelligence and Computer-Aided Detection of Barrett’s!","year":2021,"lang":"en","type":"letter","venue":"Gastroenterology","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Stage (stratigraphy); Barrett's esophagus; Center (category theory); Esophagus; Medicine; General surgery; Artificial intelligence; Computer science; Internal medicine; Adenocarcinoma; Biology; Cancer; Chemistry","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":[0.001430223,0.0009333178,0.0008608354,0.0008694201,0.004208969,0.003388184,0.0007631024,0.03372944,0.01568258],"category_scores_gemma":[0.01093749,0.0006134976,0.001279186,0.0004637234,0.001736438,0.003565269,0.001239089,0.02795978,0.00987896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003170663,"about_ca_system_score_gemma":0.002965246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0176916,"about_ca_topic_score_gemma":0.03948734,"domain_scores_codex":[0.9988067,0.0002937033,0.0001326448,0.0001674408,0.000399315,0.0002001048],"domain_scores_gemma":[0.9970877,0.0009576011,0.0002095383,0.00007517917,0.0007023255,0.000967641],"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":[0.00005391823,0.00003978086,0.0008069006,0.00002852371,0.00001096473,0.001163224,0.00006704455,0.00002390766,0.00017757,0.0008140595,0.9891664,0.007647596],"study_design_scores_gemma":[0.0001576602,0.0001368563,0.002731467,0.0003862692,0.00003256308,0.002279523,0.0008453405,0.000275176,0.0001665111,0.004374698,0.9885517,0.00006219027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002249377,0.0009241873,0.00005676874,0.9797953,0.01541009,0.00001258026,0.00004609583,0.00002172364,0.003508281],"genre_scores_gemma":[0.001799658,0.001563151,0.0002737746,0.9407809,0.02374327,0.00003271767,0.00004366908,0.00002821099,0.03173459],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03372944,"threshold_uncertainty_score":0.05246347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897787084167958,"score_gpt":0.3108130479540189,"score_spread":0.2718351771123393,"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."}}