{"id":"W4390743755","doi":"10.1080/01635581.2024.2301796","title":"Enhancing Nutrition Support for Esophageal Cancer Patients: Understanding Factors Influencing Feeding Tube Utilization","year":2024,"lang":"en","type":"article","venue":"Nutrition and Cancer","topic":"Esophageal and GI Pathology","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Sunnybrook Health Science Centre","funders":"","keywords":"Dysphagia; Medicine; Feeding tube; Logistic regression; Parenteral nutrition; Tube (container); Retrospective cohort study; Esophageal cancer; Surgery; Multivariate analysis; Cancer; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001070189,0.000163202,0.000237409,0.0002116236,0.000180753,0.00006381832,0.00002717486,0.0001475155,0.000284767],"category_scores_gemma":[0.00002996448,0.0001345002,0.00008398798,0.0002380549,0.00004824327,0.0002831542,0.00001443846,0.0001517817,0.000002683521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004820235,"about_ca_system_score_gemma":0.00008334317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005272231,"about_ca_topic_score_gemma":0.00005163188,"domain_scores_codex":[0.9989372,0.00001774894,0.0002689688,0.0003390292,0.0001744937,0.0002625677],"domain_scores_gemma":[0.9995803,0.00006619176,0.00005080523,0.00006031858,0.0001266241,0.000115717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002456706,0.003369467,0.4428587,0.06722871,0.001027894,0.0002833566,0.02362699,0.00003199509,0.2622982,0.03177989,0.03559152,0.1294466],"study_design_scores_gemma":[0.04628724,0.006391183,0.2513118,0.03433216,0.003259415,0.000208193,0.02276687,0.009572813,0.4340219,0.02178558,0.1669559,0.003106939],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745322,0.01394309,0.006535969,0.001319217,0.001425849,0.001405104,0.0003122366,0.0002610427,0.0002653119],"genre_scores_gemma":[0.993621,0.004072981,0.0001543621,0.0005170218,0.0005894999,0.00042789,0.0002766724,0.00003198864,0.0003085715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915469,"threshold_uncertainty_score":0.548476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083524013880525,"score_gpt":0.3390766889270203,"score_spread":0.278241448788215,"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."}}