{"id":"W1579576180","doi":"10.22230/cjc.2000v25n4a1185","title":"The Missing News: Filters and Blind Spots in Canada’s Press","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Blind spot; Political science; Advertising; Media studies; Computer science; Artificial intelligence; Sociology; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006868432,0.00003902922,0.00007602259,0.00003320519,0.0008918563,0.00008906676,0.0005505154,0.0000234716,0.00004594743],"category_scores_gemma":[0.0001883731,0.0000324924,0.00001404119,0.00009438128,0.00017612,0.0001250575,0.00001142096,0.0001821505,5.218914e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289927,"about_ca_system_score_gemma":0.003532134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925111,"about_ca_topic_score_gemma":0.9998738,"domain_scores_codex":[0.9991093,0.0003554647,0.0002194908,0.00003260151,0.000124669,0.0001585163],"domain_scores_gemma":[0.9990079,0.0003159944,0.0001174596,0.0002725677,0.00008115664,0.0002049453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002490247,0.000005247979,0.01387563,0.000002404915,0.000017627,0.000004860873,0.02217562,0.0001079136,0.000001699843,0.003704427,0.009902143,0.9501776],"study_design_scores_gemma":[0.0002179993,0.000006936375,0.04202,0.00006317446,0.000006667055,0.000003803652,0.01264031,0.00009688135,0.000002184981,0.000821214,0.9440665,0.00005437971],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7330998,0.04021595,0.000003387686,0.1552967,0.0001955288,0.0002097195,0.000003072392,0.000002688149,0.07097314],"genre_scores_gemma":[0.981091,0.01826846,0.0001076238,0.0002608029,0.00002996297,0.000001783813,6.813655e-7,0.000002889471,0.0002367588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9501231,"threshold_uncertainty_score":0.6859527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574934750924907,"score_gpt":0.2766920220798232,"score_spread":0.2409426745705741,"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."}}