{"id":"W2605357932","doi":"10.1016/j.addbeh.2017.04.002","title":"The role of negative affect and message credibility in perceived effectiveness of smokeless tobacco health warning labels in Navi Mumbai, India and Dhaka, Bangladesh: A moderated-mediation analysis","year":2017,"lang":"en","type":"article","venue":"Addictive Behaviors","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; Regional Municipality of Waterloo; Ontario Institute for Cancer Research; University of Waterloo","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; University of Dhaka; International Development Research Centre; Centre International de Recherche sur le Cancer","keywords":"Smokeless tobacco; Credibility; Affect (linguistics); Testimonial; Mediation; Moderated mediation; Psychology; Social psychology; Environmental health; Medicine; Advertising; Tobacco use; Population","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":[0.001790355,0.0001947073,0.0006990135,0.0003355541,0.0002416542,0.0000370961,0.0001145929,0.0001602628,0.000007808008],"category_scores_gemma":[0.000419022,0.0001583447,0.00008347147,0.0004188809,0.0004397754,0.0002575195,0.00007577306,0.0003610035,7.019185e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513144,"about_ca_system_score_gemma":0.0001334242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005395581,"about_ca_topic_score_gemma":0.001322138,"domain_scores_codex":[0.9979299,0.000638435,0.0004418327,0.0004080162,0.0003331404,0.0002487306],"domain_scores_gemma":[0.9982221,0.0005953675,0.0004994972,0.0004066563,0.0001838012,0.00009259333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004413746,0.0002123972,0.9721579,0.0000565257,0.00009250596,0.000004831924,0.006479502,0.00003351118,0.006555062,0.00003389272,2.435671e-7,0.01393228],"study_design_scores_gemma":[0.002292802,0.0003189993,0.9853588,0.0003279088,0.0003717398,0.000001886634,0.003396904,0.0006123244,0.007099844,0.0001025328,2.680791e-7,0.0001160195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985943,0.0002376622,0.00002742099,0.00002927206,0.00003785574,0.0009243744,0.00008156946,0.00001296356,0.0000545108],"genre_scores_gemma":[0.9996259,0.0001178378,0.00002507256,0.000005078384,0.000009741249,0.000121028,0.00007632792,0.00001586241,0.000003111872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01381626,"threshold_uncertainty_score":0.815654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331995926123533,"score_gpt":0.3184137611858456,"score_spread":0.3050938019246103,"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."}}