{"id":"W2483226555","doi":"10.1200/jco.2015.33.15_suppl.9591","title":"Prediction models of smoking cessation in lung and head and neck cancer patients: Role of second-hand smoke (SHS) exposure.","year":2015,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University Health Network; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Lung cancer; Smoking cessation; Head and neck cancer; Concordance; Logistic regression; Internal medicine; Multivariate analysis; Area under the curve; Cohort; Cancer; Univariate analysis; Confounding; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.008254979,0.00111437,0.001191841,0.00219762,0.0005462395,0.001582081,0.001217036,0.001139212,0.003377699],"category_scores_gemma":[0.01305249,0.0006670083,0.00179557,0.0009011895,0.0004856483,0.0006213913,0.0009522403,0.001642046,0.001001837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008291965,"about_ca_system_score_gemma":0.001600705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02357786,"about_ca_topic_score_gemma":0.01279905,"domain_scores_codex":[0.9984052,0.0009590671,0.0000863461,0.0002442652,0.0001486405,0.0001566308],"domain_scores_gemma":[0.9875679,0.009911456,0.0009920389,0.0002809819,0.0006802653,0.0005673373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001188236,0.0006395577,0.768465,0.00009637523,0.0009612862,0.0002271633,0.0001736399,0.1760643,0.0002163784,0.000599178,0.003729758,0.04763931],"study_design_scores_gemma":[0.00005994261,0.0001886263,0.04725285,0.00004449431,0.0001396985,0.0001151113,0.00005742834,0.950708,0.00007444542,0.001048965,0.0002952187,0.0000152473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961427,0.00169531,0.03025246,0.001839407,0.0001711256,0.0002142691,0.001817023,0.000577244,0.002006236],"genre_scores_gemma":[0.993606,0.0002089936,0.003595797,0.00008039086,0.00007921021,0.0000845917,0.001121942,0.00002265155,0.001200388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02357786,"threshold_uncertainty_score":0.04688126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415381393165657,"score_gpt":0.4356599999405277,"score_spread":0.294121860623962,"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."}}