{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.03672621,0.0006215776,0.00110988,0.0002271135,0.004872961,0.0005920781,0.002662943,0.001826036,0.001687133],"category_scores_gemma":[0.01480864,0.0007745934,0.0004088997,0.000919161,0.001251962,0.001426158,0.003424614,0.006036946,0.0001403346],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00296086,"about_ca_system_score_gemma":0.02214206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06041105,"about_ca_topic_score_gemma":0.07987653,"domain_scores_codex":[0.8532071,0.1425065,0.002269806,0.0005682549,0.0004666106,0.0009818567],"domain_scores_gemma":[0.9579008,0.0303419,0.002150054,0.006102325,0.00247055,0.001034429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009456248,0.001904006,0.008232703,0.002735346,0.0003117485,0.00007780634,0.0828999,0.00005334273,0.0001358992,0.688733,0.2081405,0.006681164],"study_design_scores_gemma":[0.00196834,0.00004875329,0.004902727,0.0022023,0.0001100873,0.0002642981,0.04745155,0.0003720749,0.00006826854,0.01335892,0.928632,0.000620652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01378522,0.04177206,0.004696202,0.7997819,0.0006355101,0.002409255,0.0002676657,0.0003529076,0.1362992],"genre_scores_gemma":[0.784561,0.129027,0.01514464,0.04127708,0.0002696984,0.002163182,0.001706057,0.0001979382,0.02565343],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7707757,"threshold_uncertainty_score":0.9994705,"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."}}