{"id":"W4407405504","doi":"10.14745/ccdr.v51i23a05f","title":"Différences dans le sensationnalisme des articles médiatiques internationaux sur la COVID-19 : une analyse exploratoire à l'aide du système du Réseau mondial d'information en santé publique (RMISP)","year":2025,"lang":"fr","type":"article","venue":"Relevé des maladies transmissibles au Canada","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Coronavirus disease 2019 (COVID-19); Art; Medicine","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":[0.02041395,0.0004920116,0.0006486842,0.01263848,0.001583923,0.007749334,0.0008869223,0.0007795629,0.0093953],"category_scores_gemma":[0.1430619,0.0003943902,0.0007619773,0.01381399,0.002416704,0.004904943,0.003698552,0.001278218,0.001431715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003937679,"about_ca_system_score_gemma":0.005301623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335806,"about_ca_topic_score_gemma":0.01838782,"domain_scores_codex":[0.9778998,0.008071233,0.003068415,0.001576986,0.008447268,0.0009362985],"domain_scores_gemma":[0.7386397,0.172187,0.04388035,0.005003918,0.03722066,0.003068364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001944499,0.0002317346,0.3799607,0.01325999,0.0007524018,0.0008930055,0.2867542,0.0004546122,0.008932031,0.007579045,0.01069083,0.2885469],"study_design_scores_gemma":[0.00003414833,0.0004254701,0.7857561,0.004149011,0.0004298877,0.0003762421,0.1095236,0.0006274514,0.002967985,0.001258855,0.09431277,0.0001385871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130352,0.008271191,0.006169931,0.003734869,0.0006537967,0.001478238,0.008854724,0.0002583487,0.05754372],"genre_scores_gemma":[0.9571456,0.006967557,0.01189137,0.001183248,0.0005939903,0.002740239,0.00390163,0.0002002065,0.01537611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9866419,"threshold_uncertainty_score":0.1079606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630924861728959,"score_gpt":0.2597956794228145,"score_spread":0.2434864308055249,"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."}}