{"id":"W4248762030","doi":"10.32920/ryerson.14640762","title":"Elections, Wars, and Protests? A Longitudinal Look at Foreign News on Canadian Television","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Content analysis; Politics; Foreign policy; Political science; News media; Advertising; News values; Media studies; Variation (astronomy); Sociology; Social science; Law; Business","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":[0.001423158,0.0003188782,0.0003328685,0.005116061,0.005941097,0.003645143,0.0007956534,0.0005850496,0.006842977],"category_scores_gemma":[0.006521569,0.0002841078,0.0002807228,0.008015394,0.001269652,0.001626777,0.00164784,0.001395719,0.0006712977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01924419,"about_ca_system_score_gemma":0.01999977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859124,"about_ca_topic_score_gemma":0.9923706,"domain_scores_codex":[0.9989591,0.0001123726,0.0000237084,0.0001142807,0.0003411697,0.000449407],"domain_scores_gemma":[0.9949276,0.0006557091,0.000841358,0.000237037,0.002267169,0.001071116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002581097,0.0001979553,0.8498085,0.00009541176,0.0001022583,0.0004827506,0.07467702,0.0002412372,0.0005601957,0.00498389,0.02746165,0.04113094],"study_design_scores_gemma":[0.000006212172,0.00003184176,0.9207939,0.00009567474,0.00003709505,0.00008484627,0.05161984,0.0002190138,0.0001297344,0.0002219785,0.02671393,0.00004599183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584195,0.002055687,0.0001689973,0.00306936,0.000088519,0.00005067285,0.008786878,0.00001767047,0.02734267],"genre_scores_gemma":[0.9847702,0.001256274,0.0001451995,0.0003219303,0.00004547843,0.00003411072,0.004529722,0.0000177526,0.008879406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01924419,"threshold_uncertainty_score":0.139627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04905290208039038,"score_gpt":0.3157415741751904,"score_spread":0.2666886720948,"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."}}