{"id":"W2790336115","doi":"10.1016/j.cgh.2018.03.014","title":"Model for Identifying Individuals at Risk for Esophageal Adenocarcinoma","year":2018,"lang":"en","type":"article","venue":"Clinical Gastroenterology and Hepatology","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Queen's University Belfast; Queen's University; Cancer Research UK","keywords":"Medicine; Logistic regression; Esophageal cancer; Biobank; Prospective cohort study; Receiver operating characteristic; Esophageal adenocarcinoma; Internal medicine; Body mass index; Cohort; Cohort study; Risk assessment; Adenocarcinoma; Cancer; Bioinformatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002471159,0.001179023,0.001633996,0.001541459,0.000471366,0.001455266,0.002189327,0.002365704,0.01605017],"category_scores_gemma":[0.007989499,0.0005749563,0.0016592,0.0006816234,0.0005778183,0.001153287,0.001030696,0.002312487,0.002655578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000986299,"about_ca_system_score_gemma":0.001372202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01850079,"about_ca_topic_score_gemma":0.01106841,"domain_scores_codex":[0.999326,0.0002957701,0.00002111113,0.0001851546,0.00004788886,0.0001241157],"domain_scores_gemma":[0.9966344,0.002611345,0.0002105288,0.0001429822,0.0002467731,0.0001539245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002947735,0.0007566029,0.149084,0.0003193335,0.001665126,0.001071964,0.0002573781,0.736017,0.001011803,0.03038187,0.02388671,0.05260039],"study_design_scores_gemma":[0.0003216902,0.0002129698,0.008850214,0.00005294654,0.0004629953,0.0003190376,0.00007468034,0.9704606,0.0001646199,0.01702714,0.002017953,0.00003516226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5631123,0.002282213,0.3456734,0.02316863,0.0007725998,0.000784927,0.04046674,0.002466944,0.02127221],"genre_scores_gemma":[0.9261671,0.0006964503,0.02738306,0.001441646,0.0002414626,0.0007172308,0.008461989,0.00009610995,0.03479503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01850079,"threshold_uncertainty_score":0.05369323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1316251262289803,"score_gpt":0.4303043496953704,"score_spread":0.2986792234663901,"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."}}