{"id":"W2193311783","doi":"10.4000/communication.5577","title":"La concentration et la propriété mixte des entreprises culturelles et des médias d’information au Canada","year":2002,"lang":"fr","type":"article","venue":"Communication","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.003533663,0.0003600621,0.0004660826,0.004739665,0.01235701,0.0112123,0.0009159872,0.00105385,0.01264776],"category_scores_gemma":[0.01433636,0.000555874,0.0003153485,0.007738932,0.008883522,0.003352303,0.003985816,0.00227994,0.0004659469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09595161,"about_ca_system_score_gemma":0.119626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9708933,"about_ca_topic_score_gemma":0.9801143,"domain_scores_codex":[0.9917408,0.001126756,0.0001532537,0.0007481644,0.004007931,0.002223112],"domain_scores_gemma":[0.9833137,0.00404375,0.001911407,0.0006489269,0.007490243,0.002591959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004514031,0.0001257754,0.1323714,0.0005827897,0.000187849,0.0006254086,0.08349918,0.002096071,0.004278772,0.5229524,0.03718578,0.2156432],"study_design_scores_gemma":[0.000073046,0.0001147425,0.3379894,0.0008010287,0.0002540113,0.0003627664,0.09429065,0.002379412,0.005180995,0.02233057,0.5360245,0.0001989994],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5640553,0.008085877,0.002911715,0.05382175,0.0001942456,0.00008167914,0.001163393,0.0001279981,0.3695581],"genre_scores_gemma":[0.9608006,0.002818089,0.0007045356,0.001343167,0.00005260611,0.00002477495,0.0001368592,0.00003021004,0.0340892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09595161,"threshold_uncertainty_score":0.6961809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.178007378272396,"score_gpt":0.3152886548390177,"score_spread":0.1372812765666217,"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."}}