{"id":"W2889649797","doi":"10.1093/dote/doy089.ps01.182","title":"PS01.182: TOOLS FOR INDIVIDUALIZED SURVIVAL PREDICTION IN ESOPHAGEAL AND GASTROESOPHAGEAL JUNCTION CANCER","year":2018,"lang":"en","type":"article","venue":"Diseases of the Esophagus","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Toronto","funders":"","keywords":"Medicine; Esophageal cancer; MEDLINE; Cancer; Stage (stratigraphy); Critical appraisal; Disease; Data extraction; Sample size determination; Esophageal adenocarcinoma; Oncology; Internal medicine; Adenocarcinoma; Pathology; Alternative medicine; Statistics","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":[0.04029356,0.001691223,0.003810352,0.0206956,0.0005603779,0.003809348,0.002239473,0.001152896,0.01119861],"category_scores_gemma":[0.1722439,0.0006722023,0.008009307,0.01751559,0.0007628455,0.00445146,0.0029102,0.001304471,0.00177306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949508,"about_ca_system_score_gemma":0.008617605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004114599,"about_ca_topic_score_gemma":0.006238586,"domain_scores_codex":[0.9697019,0.01376499,0.0105468,0.001323467,0.004355463,0.0003073523],"domain_scores_gemma":[0.7980005,0.1633921,0.01827861,0.003177149,0.01611806,0.001033515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001601769,0.0001303843,0.06656508,0.2565029,0.01040132,0.0003632483,0.0009791704,0.005402083,0.0003455017,0.004410053,0.04126961,0.6120289],"study_design_scores_gemma":[0.00411242,0.002706177,0.2884161,0.2916248,0.07263746,0.002813539,0.003170102,0.04426373,0.00279596,0.0345019,0.2519007,0.001057192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1034751,0.5449212,0.09815791,0.01835992,0.002018146,0.01357256,0.1838174,0.005939871,0.02973791],"genre_scores_gemma":[0.5171049,0.1320758,0.2758876,0.002622465,0.0009270516,0.01463597,0.05403617,0.0004883244,0.002221806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04029356,"threshold_uncertainty_score":0.2130952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936722613059861,"score_gpt":0.3329421316769733,"score_spread":0.3035749055463747,"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."}}