{"id":"W4407564757","doi":"10.1089/aipo.2024.0042","title":"Integration of AI in Barrett’s Esophagus Clinical Practice: A New Way Forward","year":2025,"lang":"en","type":"article","venue":"AI in Precision Oncology","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada); Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Barrett's esophagus; Esophagus; Clinical Practice; Medicine; Computer science; Internal medicine; Cancer; Adenocarcinoma; Family medicine","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":[0.04150288,0.001202257,0.00204042,0.004571281,0.001546639,0.01277434,0.003415665,0.005572469,0.003904206],"category_scores_gemma":[0.0568784,0.0006724243,0.001871289,0.003771556,0.006484259,0.01448298,0.007187119,0.009382586,0.001291584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00585469,"about_ca_system_score_gemma":0.02170159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005893577,"about_ca_topic_score_gemma":0.009409127,"domain_scores_codex":[0.9732224,0.01787096,0.002420535,0.001333011,0.004307341,0.0008456727],"domain_scores_gemma":[0.9253862,0.05022392,0.00338689,0.00334529,0.01310742,0.004550316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001563419,0.0003019565,0.007121862,0.00715067,0.0003203037,0.0004173288,0.00465165,0.001611382,0.0007157776,0.09782413,0.04052495,0.8392038],"study_design_scores_gemma":[0.0001421041,0.0008136196,0.007128067,0.02510913,0.0005192449,0.001575562,0.009309004,0.007357799,0.001092683,0.2880299,0.6585838,0.0003390649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004738962,0.3599006,0.1055372,0.4987707,0.006623189,0.000343416,0.0001389956,0.0007447234,0.02320222],"genre_scores_gemma":[0.1449805,0.3923187,0.3595796,0.08344205,0.01398086,0.0008575648,0.0003404657,0.000300592,0.004199622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04150288,"threshold_uncertainty_score":0.2194908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911113353649407,"score_gpt":0.502524426577063,"score_spread":0.4534132930405689,"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."}}