{"id":"W2565775874","doi":"10.1093/heapro/daw085","title":"Which types of anti-smoking television advertisements work better in Taiwan?","year":2016,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Health Promotion Administration, Ministry of Health and Welfare; Lung Health Foundation; National Center for Advancing Translational Sciences; University of South Carolina","keywords":"Testimonial; Focus group; Advertising; Psychology; Recall; Qualitative research; Smoking cessation; Content analysis; Tobacco industry; Quit smoking; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004561357,0.00007777552,0.0001474819,0.0001990291,0.00007146008,0.00001931327,0.0001284777,0.00003446345,0.005061822],"category_scores_gemma":[0.00007004876,0.00005497153,0.00002560823,0.00005728569,0.00004656617,0.0002701602,0.0000295715,0.00008945195,0.0001124061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386593,"about_ca_system_score_gemma":0.0001067249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001468404,"about_ca_topic_score_gemma":0.0005272769,"domain_scores_codex":[0.9987544,0.00006618875,0.0004833243,0.0001674772,0.0003268164,0.0002018345],"domain_scores_gemma":[0.9993908,0.00003180226,0.0002214502,0.00009653679,0.0002024258,0.00005699393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005338039,0.0004904943,0.7832897,0.000259112,0.00003801954,0.000002297141,0.01626316,0.00000688882,0.0001511245,0.06826571,0.009866971,0.1213131],"study_design_scores_gemma":[0.00294752,0.0006573931,0.754801,0.004848385,0.00000839507,0.000003398535,0.0005701173,0.0001528023,0.000434543,0.006251906,0.228956,0.0003686353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498039,0.00005638447,0.0004022269,0.04130002,0.001799939,0.0003259492,0.00002956375,0.00003253602,0.006249437],"genre_scores_gemma":[0.9976302,0.00006759037,0.0001137992,0.0008217271,0.0004033686,0.00002584546,0.00001973788,0.000008821486,0.0009088439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.219089,"threshold_uncertainty_score":0.9958477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05873291555107809,"score_gpt":0.3320174333516075,"score_spread":0.2732845178005295,"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."}}