{"id":"W4200028153","doi":"10.22215/gmicp/2021.2","title":"Media and Internet Concentration in Canada, 1984–2020","year":2021,"lang":"en","type":"report","venue":"","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"The Internet; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008192522,0.0005930343,0.0006521275,0.00555718,0.004712296,0.003455879,0.001324851,0.001287469,0.01399614],"category_scores_gemma":[0.00287556,0.0004332908,0.0009112678,0.01457967,0.0009910092,0.001414034,0.001784275,0.001769248,0.002088327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08062816,"about_ca_system_score_gemma":0.1434782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982759,"about_ca_topic_score_gemma":0.9990902,"domain_scores_codex":[0.9982516,0.00005956263,0.00007707933,0.00008471501,0.0008178962,0.0007091196],"domain_scores_gemma":[0.9938526,0.000240225,0.0004063258,0.00005926657,0.004326023,0.001115436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008763107,0.0004359733,0.4192649,0.000872663,0.0002424954,0.0007369199,0.002230685,0.002958862,0.0004907859,0.008900848,0.4783777,0.08461198],"study_design_scores_gemma":[0.00004851765,0.00004937211,0.7680011,0.0001939137,0.00008636119,0.00008150346,0.006056251,0.001658041,0.001058823,0.0003695461,0.2223376,0.00005906606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.419483,0.01937624,0.0006885361,0.04813133,0.001700557,0.0003853188,0.363641,0.0005604783,0.1460335],"genre_scores_gemma":[0.5373826,0.01232918,0.001266586,0.002127037,0.0004118716,0.0002031362,0.07199379,0.0001753485,0.3741105],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08062816,"threshold_uncertainty_score":0.585001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587022690534608,"score_gpt":0.3254702323353504,"score_spread":0.2796000054300044,"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."}}