{"id":"W2083483877","doi":"10.1080/10410236.2012.762826","title":"“Drinking Won't Get You Thinking”: A Content Analysis of Adolescent-Created Print Alcohol Counter-advertisements","year":2013,"lang":"en","type":"article","venue":"Health Communication","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institutes of Health; University of Waterloo","keywords":"Advertising; Alcohol content; Psychology; Over-the-counter; Content analysis; Content (measure theory); Alcohol advertising; Alcohol; Food science; Medicine; Poison control; Suicide prevention; Environmental health; Sociology; Wine; Business; Chemistry; Nursing; Mathematics","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":[0.0008103879,0.0001525692,0.0004557416,0.0002532546,0.0005758486,0.0001054161,0.0005077227,0.00005124053,0.001239075],"category_scores_gemma":[0.00003963355,0.0001360856,0.0001159133,0.0001680661,0.0001604305,0.0002955912,0.0001347809,0.0002619724,0.0001013674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002284054,"about_ca_system_score_gemma":0.0001344397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02184523,"about_ca_topic_score_gemma":0.009098417,"domain_scores_codex":[0.997876,0.0002710665,0.0009032479,0.0002038056,0.0003921919,0.0003536756],"domain_scores_gemma":[0.9976497,0.00008104112,0.0006812988,0.0009878252,0.0004466499,0.0001535308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001159475,0.001572851,0.45474,0.001301696,0.001613957,0.000001071118,0.2930341,0.0001526884,0.0002793642,0.1876316,0.009521243,0.05003548],"study_design_scores_gemma":[0.001951894,0.0004025895,0.8444324,0.001963233,0.0005210112,0.000001296478,0.01810838,0.009817356,0.0001081531,0.001888934,0.1202451,0.0005596438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803038,0.002184011,0.0001922628,0.008314595,0.0002216173,0.001580416,0.00003296759,0.0001344249,0.007035916],"genre_scores_gemma":[0.9912429,0.002046554,0.0003973206,0.005481226,0.00004560591,0.0001415561,0.0002753865,0.00001562313,0.000353859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3896924,"threshold_uncertainty_score":0.9996739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140211146491596,"score_gpt":0.3325823547506552,"score_spread":0.1923712082590592,"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."}}