{"id":"W2777818034","doi":"10.4000/communiquer.2285","title":"Concentration et convergence des médias en Amérique latine","year":2017,"lang":"fr","type":"article","venue":"Communiquer Revue de communication sociale et publique","topic":"Media and Digital Communication","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001714774,0.0003700621,0.0002760363,0.005067597,0.001733478,0.004666022,0.0004613417,0.0005295857,0.01000135],"category_scores_gemma":[0.007335271,0.0002112737,0.0002170091,0.007409917,0.003098015,0.003025021,0.002686471,0.0009059958,0.0005047726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005099668,"about_ca_system_score_gemma":0.002047342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08571668,"about_ca_topic_score_gemma":0.07367933,"domain_scores_codex":[0.9991909,0.0002716385,0.00003477135,0.0001365594,0.0001702943,0.0001958084],"domain_scores_gemma":[0.9939889,0.003408456,0.001221173,0.0001724769,0.000961071,0.0002479781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006160209,0.0001590573,0.3500113,0.0006430405,0.000130284,0.00137904,0.3297254,0.001137825,0.004955769,0.1118915,0.002620964,0.1967298],"study_design_scores_gemma":[0.00005742017,0.0001546777,0.6808302,0.0007633662,0.00008191119,0.0006056806,0.2084763,0.001205981,0.002041054,0.009767283,0.09595344,0.00006272927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8804168,0.004328957,0.001633636,0.003282554,0.00004861668,0.00004703219,0.0004564719,0.00002587188,0.10976],"genre_scores_gemma":[0.984641,0.002869232,0.0009386378,0.0002169399,0.00008044807,0.00004663977,0.0001709015,0.00002728336,0.01100888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08571668,"threshold_uncertainty_score":0.1704355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213055929028523,"score_gpt":0.370552070949934,"score_spread":0.2492464780470817,"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."}}