{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000340526,0.0001909104,0.000659581,0.00009625273,0.00006119286,0.000005828933,0.0000551892,0.000114571,0.000002235631],"category_scores_gemma":[0.0002356673,0.0001619325,0.00007260589,0.000148101,0.00008787784,0.00005826428,0.000065108,0.0001346017,0.000003176653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127381,"about_ca_system_score_gemma":0.0002480175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001873515,"about_ca_topic_score_gemma":0.0001482593,"domain_scores_codex":[0.9982504,0.00004683724,0.0007556631,0.0003475131,0.0002333477,0.0003662642],"domain_scores_gemma":[0.9991177,0.0001635389,0.0001310022,0.0001798694,0.0001763971,0.0002314854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001160116,0.0005887029,0.9838186,0.0003579188,0.00001528484,0.00001679312,0.001796748,0.000001441252,0.00008389317,0.000001175073,0.0005838562,0.01157548],"study_design_scores_gemma":[0.007939202,0.002187201,0.9855407,0.0003226826,0.00004611834,0.000004717436,0.0003895273,0.0003527064,0.001461461,0.000008253871,0.001595831,0.0001515933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969102,0.001010032,0.000007118331,0.0001155062,0.0001680874,0.0007989137,0.00001737113,0.00003102097,0.0009418196],"genre_scores_gemma":[0.9955897,0.00001969091,0.00384903,0.0001701054,0.00004842189,0.00008333889,0.00003602692,0.0000250441,0.0001785922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01142388,"threshold_uncertainty_score":0.6603414,"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."}}