{"id":"W7133580407","doi":"","title":"La couverture médiatique des évènements-monstre","year":2025,"lang":"fr","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009094519,0.000925716,0.0003919586,0.001887816,0.003100861,0.009581696,0.0005469089,0.001511122,0.01879933],"category_scores_gemma":[0.002934556,0.0003600696,0.0004033191,0.001667778,0.004233868,0.005305326,0.001670103,0.003392201,0.003174283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004491439,"about_ca_system_score_gemma":0.001689007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03449523,"about_ca_topic_score_gemma":0.02256797,"domain_scores_codex":[0.9989542,0.0005353876,0.00001784223,0.0001145976,0.0002462282,0.0001317041],"domain_scores_gemma":[0.9989361,0.0006703348,0.00006908837,0.00009378301,0.0001599335,0.00007078519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003441382,0.000008727189,0.0002339452,0.00007738858,0.000007280457,0.0001523619,0.007785602,0.0003645045,0.0006525668,0.9311746,0.01593622,0.04357219],"study_design_scores_gemma":[0.000007389322,0.00001912173,0.001446603,0.0001744162,0.000009769703,0.000378334,0.003683322,0.0005303054,0.0006496207,0.05181354,0.9412676,0.00001998773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01416891,0.02179315,0.008630721,0.006833077,0.001354234,0.00001410927,0.0001900015,0.0001581879,0.9468577],"genre_scores_gemma":[0.3833524,0.01505722,0.003135639,0.0006884499,0.002578096,0.00005359105,0.0001661173,0.0002463877,0.5947222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03449523,"threshold_uncertainty_score":0.06858891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989714342453607,"score_gpt":0.2540155836155996,"score_spread":0.2341184401910635,"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."}}