{"id":"W2038451839","doi":"10.1093/icvts/ivu167.26","title":"F-026 * VALIDATION OF A NEW APPROACH FOR MORTALITY RISK ASSESMENT IN OESOPHAGECTOMY FOR CANCER BASED ON AGE- AND GENDER-CORRECTED BODY MASS INDEX","year":2014,"lang":"en","type":"article","venue":"Interactive Cardiovascular and Thoracic Surgery","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Underweight; Body mass index; Percentile; Cohort; Multivariate analysis; Cancer; Cohort study; Internal medicine; Surgery; Overweight; 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":[0.005284408,0.0007799742,0.0005263253,0.00109304,0.0002731195,0.0008187274,0.0007184445,0.0007169064,0.002020553],"category_scores_gemma":[0.008207942,0.0002350762,0.000899899,0.0004556131,0.0002096031,0.0003861486,0.0006719957,0.0005397726,0.0009887923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006147578,"about_ca_system_score_gemma":0.001128289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006898858,"about_ca_topic_score_gemma":0.004705562,"domain_scores_codex":[0.9987375,0.0005994247,0.00007922694,0.0002963106,0.0002092418,0.00007840689],"domain_scores_gemma":[0.9968464,0.001706133,0.0003063146,0.0002414533,0.0007646049,0.0001351042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001622164,0.0005770084,0.632489,0.00008548194,0.0004900767,0.0001660414,0.00009123122,0.1580749,0.002807868,0.0004587252,0.003515597,0.1996219],"study_design_scores_gemma":[0.0001740511,0.000694434,0.07418435,0.00002962476,0.00009323609,0.0003681894,0.00004115803,0.9200314,0.002047389,0.0005903698,0.001720444,0.00002537175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7444282,0.000366829,0.2458567,0.0004727053,0.0002047465,0.0005340126,0.002876264,0.001574856,0.003685784],"genre_scores_gemma":[0.8920885,0.00007693144,0.1027438,0.0001287073,0.00005117066,0.0002382919,0.002884967,0.0001450573,0.001642564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006898858,"threshold_uncertainty_score":0.02794701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06808385229133962,"score_gpt":0.3775748610941332,"score_spread":0.3094910088027936,"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."}}