{"id":"W2891585195","doi":"10.1177/0739532918796227","title":"A utilitarian view: A content analysis of agenda-setting effects within popular news coverage of the mobile phone","year":2018,"lang":"en","type":"article","venue":"Newspaper Research Journal","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Newspaper; Mobile phone; Advertising; Content analysis; Phone; Internet privacy; Mobile device; Neutrality; Multimedia; Political science; Business; Computer science; Sociology; Telecommunications; World Wide Web; Social science; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004092138,0.0001071082,0.0004118889,0.0003232791,0.001103786,0.00008742233,0.0005713601,0.0001296321,0.0004584483],"category_scores_gemma":[0.004951311,0.00007401195,0.0003696679,0.002077022,0.001364529,0.000142961,0.0001314871,0.0006785759,0.00001311447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002031429,"about_ca_system_score_gemma":0.0008590527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01535877,"about_ca_topic_score_gemma":0.01140726,"domain_scores_codex":[0.9940764,0.002730522,0.0005287817,0.000171516,0.001845138,0.000647628],"domain_scores_gemma":[0.9972882,0.0008688317,0.0002999747,0.0003091966,0.0009359018,0.0002979094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002464094,0.0005436362,0.4085784,0.0001348262,0.00237014,0.00007608221,0.4744879,0.00003985569,0.03539529,0.009159228,0.009172922,0.05979537],"study_design_scores_gemma":[0.004600059,0.002357424,0.2048144,0.001098843,0.002129448,0.00003229775,0.3578118,0.0005179953,0.0282014,0.01451776,0.3830843,0.0008342091],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914864,0.0007474481,0.00003756692,0.001316085,0.000725929,0.0004530571,0.00001371106,0.000007725861,0.005212071],"genre_scores_gemma":[0.9974948,0.0004912351,0.0001727598,0.0002555785,0.0008305849,0.00001644236,0.000001148207,0.00001168241,0.0007257573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3739114,"threshold_uncertainty_score":0.9911981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180381835903411,"score_gpt":0.4272044708571224,"score_spread":0.3091662872667813,"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."}}