{"id":"W2065418796","doi":"10.1017/s0008423913000462","title":"Political Journalism Represented by Headline News: Canadian Public and Commercial Media Compared","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Social Media and Politics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Headline; Political science; Journalism; News media; Publicity; Publics; Public broadcasting; Representativeness heuristic; Humanities; Politics; Advertising; Art; Business; Psychology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001709211,0.0003207603,0.0003888988,0.005648681,0.006090966,0.005565728,0.001017449,0.0005588899,0.0108808],"category_scores_gemma":[0.01246541,0.0003450665,0.0002346715,0.01000207,0.002409079,0.001760721,0.00238343,0.000710098,0.0005263255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02570535,"about_ca_system_score_gemma":0.01809121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9738322,"about_ca_topic_score_gemma":0.9848424,"domain_scores_codex":[0.9975969,0.0002285498,0.00004911001,0.0002134927,0.001329448,0.0005825063],"domain_scores_gemma":[0.9901337,0.001914523,0.001938561,0.0004015678,0.004395124,0.001216541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008714699,0.0002156774,0.5775112,0.0003803418,0.0001605191,0.0006787684,0.303699,0.0003341939,0.003381844,0.008195577,0.02566223,0.07890922],"study_design_scores_gemma":[0.0000152183,0.00003715286,0.8379477,0.00007336187,0.00004913296,0.00008963053,0.1330764,0.0003051193,0.0004744784,0.0001946902,0.02767931,0.00005782353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544973,0.0004274766,0.00009578628,0.001178575,0.0000367553,0.00003575672,0.002036239,0.00002257765,0.04166958],"genre_scores_gemma":[0.9940228,0.0003738384,0.00006494808,0.0001133909,0.00002568471,0.00001484284,0.0008482075,0.00001591223,0.004520368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02616781,"threshold_uncertainty_score":0.1865062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05135767416833741,"score_gpt":0.3323639669273924,"score_spread":0.281006292759055,"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."}}