{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00194893,0.0002235519,0.0002335169,0.003410611,0.0007667296,0.001301782,0.0002176042,0.0002913556,0.001177449],"category_scores_gemma":[0.008694317,0.0001382824,0.000294106,0.00238647,0.0008517819,0.0009658824,0.0007084848,0.0004254753,0.0001903119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009419368,"about_ca_system_score_gemma":0.0009349732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665791,"about_ca_topic_score_gemma":0.002416059,"domain_scores_codex":[0.99883,0.0005758979,0.0001277137,0.0001062671,0.0002708098,0.00008930275],"domain_scores_gemma":[0.9875455,0.008937982,0.001355253,0.0002579048,0.001675599,0.0002277177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008949727,0.0008830794,0.3087962,0.003142817,0.0001438427,0.001445548,0.3900218,0.0002826836,0.03217379,0.002431538,0.003182491,0.2566012],"study_design_scores_gemma":[0.00003583928,0.00066011,0.7537867,0.00115469,0.0002666873,0.001591191,0.2004125,0.001936992,0.01205059,0.0009198401,0.02710878,0.00007604119],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954309,0.0002150247,0.0010382,0.0001150252,0.00001557872,0.0002818592,0.0003359233,0.00001749649,0.002549966],"genre_scores_gemma":[0.9884799,0.0006454395,0.007827951,0.0001704887,0.00004045331,0.0004507351,0.0008945253,0.00004568084,0.001444857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003410611,"threshold_uncertainty_score":0.01030701,"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."}}