{"id":"W2309363595","doi":"10.1136/tobaccocontrol-2015-052422","title":"Consumer preferences for electronic cigarettes: results from a discrete choice experiment","year":2015,"lang":"en","type":"article","venue":"Tobacco Control","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Multinomial logistic regression; Harm; Electronic cigarette; Product (mathematics); Tobacco product; Advertising; Discrete choice; Mixed logit; Psychology; Consumer choice; Preference; Tobacco control; Perception; Packaging and labeling; Sample (material); Medicine; Logistic regression; Marketing; Social psychology; Environmental health; Business; Public health; Economics; Econometrics; Nursing; Computer science","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":[0.0002399765,0.000148814,0.0002774968,0.0000419715,0.00004746756,0.00003696217,0.00009416566,0.00009898219,0.0000626188],"category_scores_gemma":[0.0003743684,0.0001178187,0.00008225941,0.00005977064,0.00003795959,0.00009122331,0.00001121923,0.0001326204,0.000008948567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573377,"about_ca_system_score_gemma":0.0002198621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005472582,"about_ca_topic_score_gemma":0.00005673422,"domain_scores_codex":[0.9987784,0.00003870552,0.0002746176,0.000304698,0.0002889957,0.0003145885],"domain_scores_gemma":[0.9990302,0.0002376937,0.0001094354,0.0003104631,0.0001603155,0.0001518351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00703947,0.0003233045,0.9371632,0.00001054874,0.0004612907,0.000007234158,0.002275095,0.00001807226,0.00615736,0.0004200301,0.01713194,0.02899246],"study_design_scores_gemma":[0.09029777,0.002972459,0.7752769,0.0002905292,0.001959826,0.00001033524,0.00226857,0.0005779294,0.02542076,0.001390853,0.09861304,0.000921027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951462,0.0004756002,0.0008143034,0.001102417,0.000249876,0.0009091718,0.000156713,0.0001034332,0.001042274],"genre_scores_gemma":[0.9980908,0.00001016891,0.00005216102,0.0005215834,0.0003604111,0.0003033484,0.0002772863,0.00001894652,0.0003652678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1618863,"threshold_uncertainty_score":0.4804509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949276191833114,"score_gpt":0.3241000470931197,"score_spread":0.2746072851747886,"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."}}