{"id":"W4417202225","doi":"10.1158/1557-3265.earlyonsetca25-b027","title":"Abstract B027: Early-Onset Head and Neck Cancer: Implications for Risk Stratification and Survival","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quartile; Odds; Logistic regression; Odds ratio; Proportional hazards model; Comorbidity; Hazard ratio; Incidence (geometry); Cancer registry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001852803,0.0002158091,0.0002419535,0.0009375933,0.0002527734,0.0007154189,0.0005373342,0.0003051083,0.003271678],"category_scores_gemma":[0.005424378,0.00009619667,0.0004856645,0.00199759,0.0001911378,0.0005315,0.000533143,0.0005193398,0.0003477822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005274854,"about_ca_system_score_gemma":0.001001437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01734896,"about_ca_topic_score_gemma":0.01716666,"domain_scores_codex":[0.9992611,0.0002985951,0.00008464183,0.000133423,0.000131174,0.00009105187],"domain_scores_gemma":[0.9969382,0.0009147057,0.001045043,0.000131084,0.000605825,0.0003651856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007450266,0.00001530652,0.9908423,0.00004828486,0.00006592386,0.00002784341,0.00002766839,0.0002431079,0.00007877925,0.00009460688,0.00156755,0.006914087],"study_design_scores_gemma":[0.000009924759,0.00003748817,0.9966984,0.00006282471,0.00006857586,0.0001115144,0.0001028341,0.001375157,0.00007398346,0.0002441437,0.001209917,0.000005275425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668256,0.005036136,0.003765014,0.003864245,0.0001902116,0.00007043222,0.01654264,0.00005435966,0.003651486],"genre_scores_gemma":[0.9922113,0.0006958189,0.001293118,0.0002117046,0.0001314689,0.0000359318,0.004926178,0.00001070332,0.0004837318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01734896,"threshold_uncertainty_score":0.03449595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3188056550330601,"score_gpt":0.5935237472237115,"score_spread":0.2747180921906514,"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."}}