{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009048472,0.00008378969,0.0001786752,0.0000611269,0.00003889695,0.00001760032,0.00004031499,0.00007187613,0.00002909203],"category_scores_gemma":[0.0002077386,0.00006458379,0.00001355602,0.0002074338,0.0000245524,0.0001124091,0.00001302966,0.0001566623,0.00000193662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004277205,"about_ca_system_score_gemma":0.00003948461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004311669,"about_ca_topic_score_gemma":0.00002192237,"domain_scores_codex":[0.9990509,0.0001039347,0.0002550934,0.0001728459,0.0002524399,0.000164842],"domain_scores_gemma":[0.9994439,0.0001152957,0.0001483992,0.0001889693,0.00007864796,0.00002472566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005653965,0.00006153929,0.968716,0.00005018341,0.00001651038,0.000001051019,0.0007947964,9.412274e-7,0.02788348,0.000007128703,0.0003132803,0.002098603],"study_design_scores_gemma":[0.0007916085,0.00008818444,0.9937382,0.0002713223,0.0000921953,0.00000729611,0.0001826964,0.0001962817,0.004314734,0.00000251477,0.0002499022,0.00006501743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990144,0.0001050201,0.00002919083,0.0001258492,0.0003205774,0.000296098,0.00002654901,0.00001921496,0.00006307286],"genre_scores_gemma":[0.9994527,0.00007918438,0.000005589486,0.00008568673,0.00007395914,0.00001071903,0.0002057605,0.00001235521,0.00007401945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0250223,"threshold_uncertainty_score":0.263365,"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."}}