{"id":"W4200616226","doi":"10.14745/ccdr.v47i12a03f","title":"Entre les moutons et les antivaxs : réactions des médias sociaux aux nouvelles sur les vaccins contre la COVID-19 publiées par les agences de presse canadiennes, et recommandations pour contrer l’hésitation à l’égard de la vaccination","year":2021,"lang":"fr","type":"article","venue":"Relevé des maladies transmissibles au Canada","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Humanities; Coronavirus disease 2019 (COVID-19); Political science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Philosophy; Medicine; Virology","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":[0.007531382,0.0003888386,0.0004231566,0.001395815,0.003360645,0.004668177,0.0004883154,0.001691356,0.009672925],"category_scores_gemma":[0.02577421,0.0003541943,0.0004350649,0.001092832,0.002883577,0.00467501,0.002927712,0.001906176,0.001158375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161911,"about_ca_system_score_gemma":0.002534758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009658697,"about_ca_topic_score_gemma":0.01022738,"domain_scores_codex":[0.9944566,0.00337695,0.0003140325,0.0003591821,0.001037395,0.0004557626],"domain_scores_gemma":[0.9580427,0.02830158,0.007162875,0.0007781707,0.003825337,0.001889282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005907067,0.0002031989,0.1964108,0.003304595,0.0001626459,0.001014531,0.7138152,0.00007806986,0.003399699,0.004966954,0.00908497,0.06696866],"study_design_scores_gemma":[0.0000423674,0.0004538072,0.1928634,0.002139324,0.0001392856,0.0004969686,0.6684108,0.0001697804,0.001247303,0.00104924,0.1328889,0.00009878734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297666,0.006323753,0.001239495,0.01760658,0.0007299985,0.0002093272,0.000771042,0.00005370242,0.04329951],"genre_scores_gemma":[0.9781039,0.004753022,0.0006428796,0.004303935,0.0005263108,0.0003069683,0.0002153533,0.00003890082,0.01110874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9903413,"threshold_uncertainty_score":0.03983027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537258757203397,"score_gpt":0.311276143650729,"score_spread":0.265903556078695,"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."}}