{"id":"W4414050089","doi":"10.1093/dote/doaf061.085","title":"042. OPTIMAL HOSPITAL VOLUME TO MINIMISE MORTALITY AFTER ESOPHAGECTOMY FOR CANCER IN LOW POPULATION DENSITY COUNTRIES: IN AUSTRALIA AND NEW ZEALAND","year":2025,"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":"Centre for Advancing Health Outcomes","funders":"","keywords":"Esophagectomy; Intensive care unit; Esophageal cancer; Confounding; Population; Cancer; Mortality rate; Prospective cohort study","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":[0.001110583,0.0002568102,0.0003253158,0.0006600702,0.0003084707,0.0008903502,0.0006391789,0.0003454977,0.001116324],"category_scores_gemma":[0.003822097,0.0002700738,0.0005128679,0.0009849318,0.0005927371,0.0007373889,0.001010568,0.0003829673,0.0001093044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002007446,"about_ca_system_score_gemma":0.002589382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1716767,"about_ca_topic_score_gemma":0.1945286,"domain_scores_codex":[0.9993587,0.0002285147,0.00007208702,0.0001008909,0.0001102532,0.0001296553],"domain_scores_gemma":[0.9978848,0.0001602423,0.001242636,0.00005083502,0.000197864,0.0004635884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001311752,0.00007467518,0.9893461,0.0001145672,0.00007171095,0.0002627108,0.0006967111,0.0004129452,0.0002909405,0.0001490994,0.0005271942,0.007922227],"study_design_scores_gemma":[0.00001596541,0.00008631999,0.9985678,0.00002079709,0.00001131939,0.00007844278,0.0005438327,0.0003996174,0.00002133706,0.00003468365,0.0002157795,0.000004014594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981052,0.0002709676,0.000138461,0.0003873825,0.000006013301,0.00004095667,0.000289332,0.000003502447,0.0007581319],"genre_scores_gemma":[0.9992259,0.0001242452,0.0002724611,0.00005682161,0.00000500089,0.00002960598,0.0001415694,0.000001850451,0.0001425653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1716767,"threshold_uncertainty_score":0.3413548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013963351768772,"score_gpt":0.3386608272657307,"score_spread":0.3246974754969587,"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."}}