{"id":"W4385264157","doi":"10.53738/revmed.2023.19.836.1390","title":"Prévisions épidémiques et Covid-19","year":2023,"lang":"fr","type":"article","venue":"Revue Médicale Suisse","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre National en Électrochimie et en Technologies Environnementales","funders":"","keywords":"Vision; Coronavirus disease 2019 (COVID-19); Dashboard; Humanities; Political science; Pandemic; Public health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Library science; Sociology; Medicine; Art; Engineering; Nursing; Infectious disease (medical specialty); Virology; Computer science; Outbreak","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":[0.01320753,0.0009004136,0.0009531898,0.006042918,0.001042672,0.006317333,0.0006737605,0.001225694,0.01185843],"category_scores_gemma":[0.04455369,0.0004693224,0.001151471,0.004895065,0.0009475002,0.003082863,0.001481821,0.003120396,0.001339961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003807535,"about_ca_system_score_gemma":0.002970808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04318064,"about_ca_topic_score_gemma":0.0191613,"domain_scores_codex":[0.9887725,0.006362438,0.0009607269,0.001072048,0.002348756,0.0004834586],"domain_scores_gemma":[0.9734747,0.01843787,0.003491322,0.001022227,0.002809476,0.0007643546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00225154,0.0004979933,0.3705128,0.003951582,0.001855143,0.00165864,0.01404745,0.007126478,0.001114038,0.135801,0.08998084,0.3712025],"study_design_scores_gemma":[0.000295383,0.0008240633,0.3434034,0.006572013,0.0004540871,0.00469622,0.008213145,0.008075979,0.001848826,0.03832981,0.5869414,0.0003457563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4169114,0.1358283,0.08493275,0.05243671,0.004086234,0.001421676,0.1173196,0.0023523,0.1847112],"genre_scores_gemma":[0.8865235,0.03860775,0.03474577,0.002146109,0.003245721,0.001084566,0.02225164,0.000254886,0.01114013],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04318064,"threshold_uncertainty_score":0.08585858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3917553195050844,"score_gpt":0.4976615544116108,"score_spread":0.1059062349065264,"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."}}