{"id":"W3100361794","doi":"10.1053/j.semtcvs.2020.10.042","title":"Commentary: Measure Twice, Cut Once: Understanding the Anatomy and Physiology of Esophageal Epiphrenic Diverticula Guides Optimal Surgical Management","year":2020,"lang":"en","type":"letter","venue":"Seminars in Thoracic and Cardiovascular Surgery","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto","funders":"","keywords":"Medicine; Demographics; Retrospective cohort study; Diverticulum (mollusc); Cohort; General surgery; Surgery; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003317765,0.0005767722,0.001774371,0.0003364751,0.0005715044,0.00003408835,0.0003747372,0.0005741281,0.00007741464],"category_scores_gemma":[0.00004755417,0.0004466529,0.0008112576,0.0004909869,0.000511721,0.0001405567,0.001092259,0.002046441,0.000007720156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639446,"about_ca_system_score_gemma":0.00008641406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240218,"about_ca_topic_score_gemma":0.000007915118,"domain_scores_codex":[0.9935552,0.002673784,0.0009868881,0.0009275046,0.000981438,0.0008752244],"domain_scores_gemma":[0.9971078,0.001513742,0.0003561647,0.0008330262,0.00006744939,0.0001217979],"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":[0.0002745397,0.00004535181,0.01151931,0.004059715,0.006131362,0.004358867,0.001274223,0.00004202266,0.000001844452,0.0003653259,0.9572703,0.01465718],"study_design_scores_gemma":[0.001517918,0.00009368228,0.005763516,0.003593719,0.004409668,0.00006419325,0.01418625,0.0003527492,0.00001405128,0.001573624,0.9672605,0.001170143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08665694,0.2427424,0.005016549,0.6365024,0.00596478,0.0101182,0.000296102,0.0004230403,0.01227961],"genre_scores_gemma":[0.6967536,0.06808244,0.0006931487,0.228827,0.002667987,0.0008525985,0.0008887808,0.0002519422,0.0009825153],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6100966,"threshold_uncertainty_score":0.9997985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04622389216928668,"score_gpt":0.3440136461956681,"score_spread":0.2977897540263814,"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."}}