{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005163893,0.0005832868,0.001330663,0.0002448873,0.0005995983,0.00009464796,0.0007128765,0.0006797703,0.004030912],"category_scores_gemma":[0.1093132,0.0005345076,0.0006153602,0.001556075,0.0008117639,0.0001630462,0.001172238,0.0009989636,0.005957671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006832406,"about_ca_system_score_gemma":0.0004862626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007421511,"about_ca_topic_score_gemma":0.0004968895,"domain_scores_codex":[0.9941905,0.001654284,0.001282892,0.001057543,0.0004596338,0.001355154],"domain_scores_gemma":[0.9730464,0.02406342,0.000370929,0.001099624,0.0001536033,0.001266082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000377523,0.0005596465,0.01081535,0.003388997,0.0001930781,0.0008414455,0.001747374,0.0003926995,0.00006624183,0.2245597,0.7459198,0.01147797],"study_design_scores_gemma":[0.0004359389,0.000171136,0.003523111,0.0005356706,0.0001400072,0.00003633625,0.0004088818,0.002064317,0.00001710238,0.2178465,0.7743288,0.0004922384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01942586,0.0615375,0.02226022,0.8701242,0.00301343,0.002221129,0.0006796277,0.003556087,0.01718198],"genre_scores_gemma":[0.04605385,0.0570546,0.01840341,0.06309873,0.003197018,0.0006809176,0.0002125865,0.0003458836,0.810953],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8070254,"threshold_uncertainty_score":0.9997106,"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."}}