{"id":"W2599401193","doi":"10.1002/hed.24760","title":"Body mass index and prognosis in patients with head and neck cancer","year":2017,"lang":"en","type":"article","venue":"Head & Neck","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Underweight; Body mass index; Overweight; Hazard ratio; Head and neck cancer; Internal medicine; Cancer; Confidence interval; Oncology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005794968,0.0001538907,0.0002280444,0.0005421389,0.0003825021,0.0005071276,0.0002459504,0.0003365537,0.001080515],"category_scores_gemma":[0.001857878,0.0001257134,0.0003015754,0.001073074,0.0002289393,0.0002765297,0.0003370794,0.0005365811,0.0001487312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005574846,"about_ca_system_score_gemma":0.0005176491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622858,"about_ca_topic_score_gemma":0.02660804,"domain_scores_codex":[0.9998072,0.00004407501,0.00002222284,0.00002916466,0.0000478187,0.00004964317],"domain_scores_gemma":[0.9991212,0.0001668662,0.0003855915,0.00004845272,0.00009407416,0.0001838341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007506617,0.00000855212,0.9988004,0.000009086546,0.00003067206,0.00001864518,0.0000242328,0.00001270285,0.0000237414,0.00000649971,0.00008469434,0.000905739],"study_design_scores_gemma":[0.000004075368,0.0000415125,0.9995765,0.00001195738,0.00003079997,0.00006695917,0.00005495314,0.00002914723,0.00001487165,0.00001096737,0.0001567594,0.000001481268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954762,0.003147201,0.00002859778,0.0001654345,0.00001846496,0.000006991031,0.0003504179,0.000001913354,0.0008046732],"genre_scores_gemma":[0.998687,0.0007683033,0.00003314882,0.00003980743,0.00001970063,0.000005025025,0.0003478139,6.687336e-7,0.00009855327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01622858,"threshold_uncertainty_score":0.03226823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198730308439218,"score_gpt":0.3096507252843962,"score_spread":0.287663422200004,"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."}}