{"id":"W6907676446","doi":"10.25318/1310077501-fra","title":"Informations préliminaires détaillées sur les cas de COVID-19, 2020-2022: 4 dimensions (données agrégées), Agence de la santé publique du Canada, inactif","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Subject (documents); Hierarchy; Perspective (graphical); Face (sociological concept)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003201339,0.00137543,0.001347014,0.009265522,0.001841706,0.003592208,0.002134849,0.001184569,0.02515797],"category_scores_gemma":[0.02668929,0.0006178201,0.001442183,0.02374821,0.0007790338,0.001220943,0.001507459,0.001823891,0.01274065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01774866,"about_ca_system_score_gemma":0.06549697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565812,"about_ca_topic_score_gemma":0.9679136,"domain_scores_codex":[0.996342,0.0003842561,0.0004486825,0.0006669233,0.001537146,0.0006209204],"domain_scores_gemma":[0.9813297,0.004062592,0.0009612834,0.001282328,0.01151656,0.0008476536],"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":[0.0001432202,0.00001923688,0.01328046,0.002306916,0.0001600935,0.00006170106,0.0002218709,0.0008242429,0.0002541878,0.001526738,0.9701315,0.01106975],"study_design_scores_gemma":[0.00009143706,0.00001365204,0.05950614,0.001336305,0.0001913733,0.0000820514,0.0006593126,0.0007056022,0.0007912687,0.0008475964,0.9356903,0.00008485612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003699701,0.0003480533,0.00010715,0.0001798003,0.00002843786,0.00001515383,0.9974945,0.0001231102,0.001333861],"genre_scores_gemma":[0.002970664,0.000690521,0.0006709687,0.0001212207,0.00001596675,0.00009184311,0.993385,0.00006352286,0.001990195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04341877,"threshold_uncertainty_score":0.1287761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037304563492638,"score_gpt":0.2811339675542448,"score_spread":0.2707609219193184,"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."}}