{"id":"W3201902477","doi":"10.4000/communiquer.8250","title":"Mobiliser par le consentement : la communication du gouvernement suisse durant la COVID-19","year":2021,"lang":"fr","type":"article","venue":"Communiquer Revue de communication sociale et publique","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); Philosophy; 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":[0.01047613,0.000330933,0.0003753625,0.001196109,0.00898762,0.006848606,0.0007153436,0.003408113,0.008068271],"category_scores_gemma":[0.0408813,0.0003579083,0.0003496822,0.001210701,0.009468479,0.007722891,0.005201629,0.005272653,0.001532948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005466368,"about_ca_system_score_gemma":0.005415934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02217679,"about_ca_topic_score_gemma":0.02538453,"domain_scores_codex":[0.9870514,0.009013353,0.0003777729,0.0006704245,0.001889046,0.0009980835],"domain_scores_gemma":[0.9575928,0.03080522,0.005378901,0.001274044,0.003144212,0.001804719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001917462,0.00004934029,0.01607375,0.0005345533,0.00003500359,0.0009266378,0.8500803,0.0001127466,0.002019258,0.07719217,0.02200564,0.03077893],"study_design_scores_gemma":[0.00002560611,0.0001370289,0.02522281,0.001665469,0.00005087917,0.0007570098,0.4434436,0.0006422552,0.001505587,0.01100659,0.5154191,0.0001240224],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6476109,0.005575087,0.01005861,0.1681979,0.001978727,0.0001445002,0.0004913041,0.0001656336,0.1657772],"genre_scores_gemma":[0.977638,0.001646199,0.0008660313,0.006143431,0.000351385,0.0000783005,0.00008530199,0.00008748074,0.01310395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02217679,"threshold_uncertainty_score":0.05540371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12019247259598,"score_gpt":0.460944275031583,"score_spread":0.340751802435603,"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."}}