{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008558012,0.0005219406,0.0008438995,0.0115102,0.02034142,0.02850633,0.002375944,0.004162117,0.03246421],"category_scores_gemma":[0.06340877,0.0008131554,0.0003957453,0.0160233,0.01035663,0.008707342,0.003680276,0.005083859,0.00269955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06381736,"about_ca_system_score_gemma":0.09283561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9563887,"about_ca_topic_score_gemma":0.9658601,"domain_scores_codex":[0.9886507,0.001571988,0.0004479092,0.0008911229,0.005124475,0.003313795],"domain_scores_gemma":[0.9256435,0.02961612,0.005750375,0.003656683,0.02704784,0.008285418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008216599,0.0001290911,0.05205273,0.0005025327,0.00009777988,0.001723726,0.08825794,0.001146883,0.0008204963,0.2551755,0.4149274,0.1843443],"study_design_scores_gemma":[0.0001029485,0.00006466853,0.1042592,0.0008518014,0.0001427559,0.0004279687,0.1031991,0.002153142,0.001931365,0.03323496,0.7533686,0.0002634839],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.317744,0.01319841,0.004910578,0.1719332,0.002235985,0.0001661763,0.004502698,0.0008364394,0.4844725],"genre_scores_gemma":[0.9119478,0.002370734,0.001209518,0.007263152,0.0005333925,0.0000372457,0.0005806558,0.0003658521,0.07569164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06381736,"threshold_uncertainty_score":0.4630295,"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."}}