{"id":"W2557386582","doi":"10.22230/cjc.2016v41n4a3145","title":"Media, Persuasion and Propaganda","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Persuasion; Advertising; Political science; Internet privacy; Psychology; Social psychology; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003217662,0.0004459522,0.0004180952,0.004086463,0.003017907,0.01188772,0.0006930276,0.00313646,0.01637385],"category_scores_gemma":[0.0162838,0.0003579654,0.0002696945,0.004765044,0.009019061,0.005578089,0.001616627,0.002121099,0.0006856645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003569545,"about_ca_system_score_gemma":0.005863023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05115766,"about_ca_topic_score_gemma":0.06098977,"domain_scores_codex":[0.9980304,0.0009202153,0.00007316249,0.0001488559,0.0005852015,0.0002421609],"domain_scores_gemma":[0.9723927,0.02304323,0.002300973,0.0003752921,0.001150534,0.0007373814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005608507,0.0007688585,0.05308329,0.00152354,0.0001745722,0.001003935,0.05989425,0.0007938091,0.0009401435,0.761981,0.01292611,0.1063497],"study_design_scores_gemma":[0.0002837563,0.0003243833,0.2325619,0.002465397,0.0003976088,0.001083038,0.09042201,0.002027691,0.000746499,0.5295711,0.139907,0.0002094833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3357732,0.09027305,0.002091908,0.03691158,0.0008831081,0.00005412141,0.0002761934,0.00003913562,0.5336977],"genre_scores_gemma":[0.9769239,0.01125155,0.0004614329,0.0006777761,0.0004133197,0.0000275707,0.00003906683,0.00001725508,0.01018808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05115766,"threshold_uncertainty_score":0.1017197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03490075864584133,"score_gpt":0.2816985810601797,"score_spread":0.2467978224143384,"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."}}