{"id":"W3089608401","doi":"10.1093/ntr/ntaa196","title":"Gender Differences in Reasons for Using Electronic Cigarettes and Product Characteristics: Findings From the 2018 ITC Four Country Smoking and Vaping Survey","year":2020,"lang":"en","type":"article","venue":"Nicotine & Tobacco Research","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Waterloo","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Nicotine; Demography; Medicine; Odds; Tobacco product; Odds ratio; Psychology; Environmental health; Internal medicine; Logistic regression; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002008517,0.0001459198,0.0002876194,0.00008473809,0.0002707059,0.0001616068,0.0001363472,0.00009556,0.00003924421],"category_scores_gemma":[0.00197706,0.0001098018,0.00002491776,0.0003722032,0.0001354315,0.0001115038,0.0001220418,0.0006805409,3.64948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247008,"about_ca_system_score_gemma":0.0002389712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001576426,"about_ca_topic_score_gemma":0.00023047,"domain_scores_codex":[0.9980158,0.0002357241,0.0002462509,0.0004736751,0.000507251,0.0005212882],"domain_scores_gemma":[0.9984729,0.0009529549,0.00005992945,0.0002041968,0.0002075034,0.0001025668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001476633,0.00002628097,0.993436,0.00004023137,0.00003363445,0.000002478087,0.0006914879,1.317986e-7,0.002889932,0.00005139628,0.0002874417,0.002393298],"study_design_scores_gemma":[0.0007881355,0.0001322346,0.9968268,0.0001579753,0.00005768223,0.000007424879,0.0004363,0.0005748236,0.0007337834,0.00005003982,0.0001207395,0.0001140083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963828,0.0004829722,0.00005594056,0.002261137,0.00006274866,0.0006507229,0.00006775182,0.00002229049,0.00001368642],"genre_scores_gemma":[0.9989102,0.0002201963,0.00004100676,0.0002588589,0.0003760167,0.00003385137,0.0001159292,0.00002773767,0.00001621475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003390828,"threshold_uncertainty_score":0.4477587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2353703401893121,"score_gpt":0.3792501863130863,"score_spread":0.1438798461237742,"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."}}