{"id":"W2912558050","doi":"10.1111/add.14562","title":"Prices, use restrictions and electronic cigarette use—evidence from wave 1 (2016) US data of the ITC Four Country Smoking and Vaping Survey","year":2019,"lang":"en","type":"article","venue":"Addiction","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institute on Drug Abuse; Canadian Institutes of Health Research; Ontario Institute for Cancer Research","keywords":"Nicotine; Logistic regression; Demography; Demographics; Medicine; Electronic cigarette; Generalized estimating equation; Environmental health; Statistics; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004645062,0.00009763712,0.0001459813,0.00006407824,0.0001175516,0.00006453664,0.00007872656,0.0001104294,0.00003580342],"category_scores_gemma":[0.0004376888,0.00007730572,0.00001720929,0.0002416852,0.00004529507,0.0007675691,0.0001003377,0.0002778841,4.716717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009662647,"about_ca_system_score_gemma":0.0001133155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046696,"about_ca_topic_score_gemma":0.0006595382,"domain_scores_codex":[0.9989401,0.00009498109,0.0001994646,0.0003114853,0.0002974429,0.0001565552],"domain_scores_gemma":[0.9986242,0.000470113,0.0001676405,0.0006003916,0.00009877272,0.00003887069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005023092,0.00001464199,0.9951462,0.00001009317,0.000058268,8.944909e-7,0.00008347991,0.000004259298,0.002390852,0.00001556974,0.0005021918,0.001723322],"study_design_scores_gemma":[0.0004302405,0.00006219199,0.996127,0.0004154287,0.0003640591,0.00002555316,0.00003024016,0.0009865721,0.0004117451,0.00001083544,0.001061886,0.00007426728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983257,0.0004830938,0.0002831361,0.00007755543,0.0003479569,0.0002780824,0.0001558744,0.00003203712,0.00001656627],"genre_scores_gemma":[0.9981493,0.001238128,0.0000293569,0.00008954502,0.00006948368,0.000004689149,0.0003108381,0.00001427007,0.00009440132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009807421,"threshold_uncertainty_score":0.9961224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028078060388348,"score_gpt":0.2934922098755401,"score_spread":0.1906844038367053,"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."}}