{"id":"W2998760593","doi":"10.14745/ccdr.v46i01a05f","title":"Rapport national de mi-saison sur l’influenza au Canada, 2019 à 2020","year":2020,"lang":"fr","type":"article","venue":"Relevé des maladies transmissibles au Canada","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Public Health Agency of Canada","funders":"","keywords":"Forestry; Geography","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":[0.00108557,0.0004267959,0.0003718806,0.001337302,0.001815328,0.001620179,0.0006271417,0.0005587342,0.007193543],"category_scores_gemma":[0.003017018,0.0002368251,0.0003940495,0.001656217,0.0003428602,0.000474176,0.0006786845,0.001545485,0.0009940857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02453319,"about_ca_system_score_gemma":0.05852787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924493,"about_ca_topic_score_gemma":0.9935541,"domain_scores_codex":[0.998858,0.00005617252,0.00005331236,0.0001178818,0.0005789538,0.0003357538],"domain_scores_gemma":[0.9946262,0.0001805902,0.0001902,0.00004913193,0.004266366,0.000687574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005349233,0.0001040089,0.2846911,0.001469707,0.0002582844,0.000672929,0.001926312,0.0008611446,0.001629699,0.003314023,0.5792854,0.1252524],"study_design_scores_gemma":[0.00004536939,0.0000867144,0.5693333,0.001070492,0.0001574194,0.0002692176,0.002844249,0.001457884,0.001056945,0.0003408862,0.4232574,0.00008021125],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2501319,0.05820949,0.004544021,0.04002215,0.006897522,0.0007047358,0.3528364,0.0008228987,0.2858309],"genre_scores_gemma":[0.7065479,0.03431161,0.007291415,0.0181773,0.0009887601,0.0004234892,0.1256293,0.0001986842,0.1064316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02453319,"threshold_uncertainty_score":0.1780016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903766953090191,"score_gpt":0.2909620360809886,"score_spread":0.2419243665500867,"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."}}