{"id":"W2886966691","doi":"10.1016/j.drugalcdep.2018.06.034","title":"Delay discounting and e-cigarette use: An investigation in current, former, and never cigarette smokers","year":2018,"lang":"en","type":"article","venue":"Drug and Alcohol Dependence","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Drug Abuse; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Delay discounting; Discounting; Cigarette smoking; Psychology; Environmental health; Medicine; Demography; Clinical psychology; Economics; Impulsivity; Internal medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002097539,0.0002093437,0.000278421,0.0002773342,0.0003087999,0.0009984723,0.0002998846,0.00009481447,0.00003102481],"category_scores_gemma":[0.0004799753,0.0001675076,0.00003023796,0.0003180145,0.0004776964,0.003439938,0.0002403831,0.0002656332,0.00001256863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002535566,"about_ca_system_score_gemma":0.00004619067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003287764,"about_ca_topic_score_gemma":0.0009590921,"domain_scores_codex":[0.9976436,0.0001133676,0.000561628,0.0008246807,0.000533877,0.0003227901],"domain_scores_gemma":[0.9985406,0.0004943121,0.0002304699,0.0003702091,0.000133203,0.0002311722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002113308,0.00001631539,0.5508522,0.000003395758,0.00000320133,0.00001018188,0.001385987,0.000005260948,0.0001640534,0.000221345,0.0005313939,0.4467855],"study_design_scores_gemma":[0.001161041,0.0001305313,0.9165785,0.0002788336,0.00004523625,0.000118278,0.00208278,0.01649013,0.0006393687,0.05562279,0.006100302,0.0007521844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983869,0.0003614882,0.0001772779,0.0003943568,0.0003910922,0.0001509334,0.00002100913,0.00002548538,0.00009145949],"genre_scores_gemma":[0.9988072,0.000134357,0.0003608871,0.0004528527,0.00009286998,0.000006861077,0.000005650778,0.00001346024,0.0001258405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4460334,"threshold_uncertainty_score":0.9628292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133572858500819,"score_gpt":0.3898367259152736,"score_spread":0.2562638674144546,"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."}}