{"id":"W4235343244","doi":"10.2196/preprints.18943","title":"Tactics for Drawing Youth to Vaping: Content Analysis of Electronic Cigarette Advertisements (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Advertising; Electronic cigarette; Context (archaeology); Content analysis; Psychology; Product (mathematics); Business; Medicine; Sociology; Social science; Geography; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01942928,0.000478001,0.0008033311,0.01144714,0.001518965,0.003913535,0.0008151885,0.0007323795,0.002348558],"category_scores_gemma":[0.06070177,0.0003899944,0.001284599,0.01330436,0.001747429,0.002693299,0.002758597,0.0007966354,0.0004245215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004132186,"about_ca_system_score_gemma":0.007636932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004357998,"about_ca_topic_score_gemma":0.009164555,"domain_scores_codex":[0.9882299,0.006573368,0.001963453,0.0007215987,0.002176996,0.0003347105],"domain_scores_gemma":[0.9351342,0.05249285,0.004463339,0.001039857,0.006560335,0.0003094889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001881961,0.0001735872,0.02785341,0.03705385,0.0002707852,0.0009268459,0.5376357,0.0003446696,0.004834948,0.007936198,0.01839789,0.3643839],"study_design_scores_gemma":[0.0000966726,0.0003894145,0.1246127,0.05609431,0.001101956,0.001053679,0.5889326,0.00211054,0.006457798,0.00745392,0.2115138,0.0001825598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195276,0.0325346,0.05304566,0.009748115,0.001019603,0.03294818,0.01310054,0.0003394143,0.0377363],"genre_scores_gemma":[0.690402,0.0332721,0.2253062,0.003038636,0.0003187394,0.03128234,0.008039331,0.0002885902,0.008051988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01942928,"threshold_uncertainty_score":0.1027531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1293976865495939,"score_gpt":0.3517941638209817,"score_spread":0.2223964772713878,"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."}}