{"id":"W2914251351","doi":"10.1111/add.14571","title":"Characteristics of nicotine vaping products used by participants in the 2016 ITC Four Country Smoking and Vaping Survey","year":2019,"lang":"en","type":"article","venue":"Addiction","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Waterloo","funders":"National Cancer Institute; National Institute on Drug Abuse; Canadian Institutes of Health Research","keywords":"Multinomial logistic regression; Medicine; Descriptive statistics; Regulatory science; Logistic regression; Nicotine; Statistics; Demography; Environmental health; Mathematics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001379081,0.000193375,0.0003711515,0.001225777,0.0004594668,0.0007036646,0.0005001377,0.0005640817,0.002392341],"category_scores_gemma":[0.004251122,0.0003167387,0.0006744411,0.002045912,0.0002764709,0.0006929748,0.0005544194,0.000715197,0.0004815896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891171,"about_ca_system_score_gemma":0.0005635899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03417023,"about_ca_topic_score_gemma":0.03255031,"domain_scores_codex":[0.9986972,0.0003071861,0.000224026,0.000202948,0.000414428,0.0001542296],"domain_scores_gemma":[0.9966204,0.0004692629,0.001919213,0.0001482611,0.0004859618,0.0003568888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005427083,0.00004702333,0.9969491,0.0000498019,0.00004763669,0.00002531928,0.0003656748,0.00005234128,0.000137082,0.00002005598,0.0006093474,0.001642388],"study_design_scores_gemma":[0.000002824269,0.00005107304,0.9986057,0.00003272926,0.000010658,0.00006786862,0.0006661866,0.00008050264,0.00003674014,0.000009128354,0.0004301741,0.000006462068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869985,0.000264541,0.0001535818,0.0001214513,0.00001206802,0.00008351961,0.01110845,0.000009787605,0.001247958],"genre_scores_gemma":[0.9906661,0.0003481047,0.000352953,0.000118324,0.000008862771,0.0001666352,0.00762196,0.000009687924,0.0007072873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03417023,"threshold_uncertainty_score":0.06794268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05106698765409852,"score_gpt":0.2918179042299834,"score_spread":0.2407509165758849,"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."}}