{"id":"W1853613340","doi":"10.1002/hed.24210","title":"Clinical parameters predicting development of pulmonary malignancies in patients treated for head and neck squamous cell carcinoma","year":2015,"lang":"en","type":"article","venue":"Head & Neck","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Malignancy; Internal medicine; Head and neck squamous-cell carcinoma; Multivariate analysis; Oncology; Proportional hazards model; Head and neck; Retrospective cohort study; Basal cell; Cancer; Head and neck cancer; Surgery","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":[0.0004909337,0.0001644902,0.0002109182,0.0005394423,0.0002946997,0.0004353254,0.0002710065,0.0003376046,0.001150366],"category_scores_gemma":[0.001963822,0.0001551777,0.0002522904,0.0006204025,0.0002783413,0.0002904586,0.0002176422,0.0004163268,0.0001666766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705281,"about_ca_system_score_gemma":0.0004506802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006114236,"about_ca_topic_score_gemma":0.01070457,"domain_scores_codex":[0.9998295,0.00004348529,0.00002142736,0.00002176429,0.00004705591,0.00003670503],"domain_scores_gemma":[0.9986981,0.0003838824,0.0005191682,0.00004800376,0.0001527701,0.0001979809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004021164,0.000007062732,0.9993891,0.000002892647,0.000009335414,0.00002700439,0.00001186651,0.000009359822,0.00005491417,0.000001355777,0.00002131933,0.0004255558],"study_design_scores_gemma":[0.000002514549,0.0000635391,0.9995257,0.000002992264,0.00001583767,0.000168876,0.00006758343,0.00004681337,0.00004392322,0.000003772083,0.0000573215,0.000001191969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992402,0.0004251093,0.00003148395,0.00002361639,0.000002987008,0.000005280084,0.00008914282,0.000001353015,0.0001808776],"genre_scores_gemma":[0.9996694,0.0001008618,0.00003016128,0.000008719481,0.000005439315,0.00000297655,0.0001312634,4.825467e-7,0.0000505625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006114236,"threshold_uncertainty_score":0.01215732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07276148937633366,"score_gpt":0.3272322660783612,"score_spread":0.2544707767020276,"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."}}