{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005965693,0.0001689478,0.0004116522,0.00005937196,0.0002125824,0.00004503965,0.00005536072,0.00006974432,0.000023293],"category_scores_gemma":[0.00003851097,0.0001240676,0.00001835981,0.00005688777,0.0001504903,0.0001402592,0.00006619006,0.0001721003,0.000003525654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005530932,"about_ca_system_score_gemma":0.00007327629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001399751,"about_ca_topic_score_gemma":0.002577025,"domain_scores_codex":[0.9989938,0.00001244267,0.0001638692,0.0003186368,0.0002030639,0.00030821],"domain_scores_gemma":[0.9994345,0.00001580047,0.00007297191,0.0002498401,0.00007279622,0.0001540993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005443797,0.0001189649,0.9864298,0.00016511,0.00004151151,0.00002387524,0.0002977314,1.545894e-7,0.0000325945,0.00001075007,0.0006600069,0.01167511],"study_design_scores_gemma":[0.006470524,0.0009264497,0.9863164,0.0009517554,0.00003770043,0.000003352586,0.00003579725,0.00004656957,0.0000834506,0.00001817239,0.004961549,0.0001482952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936085,0.001102829,8.363197e-7,0.002465029,0.00008797595,0.0005217374,0.00001277776,0.00002305948,0.002177201],"genre_scores_gemma":[0.9983885,0.0005171661,0.0001566858,0.0003881401,0.0000864412,0.0001054869,0.000003811534,0.00002201738,0.0003317773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152682,"threshold_uncertainty_score":0.505933,"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."}}