{"id":"W4413553310","doi":"10.64628/aap.9hee34aap","title":"Le français, autre victime de la Covid-19 au Canada","year":2020,"lang":"fr","type":"preprint","venue":"","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Political science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Humanities; Art; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007043727,0.0004241311,0.0006110257,0.001192682,0.03719139,0.004647302,0.0007300569,0.003160174,0.01385885],"category_scores_gemma":[0.002792691,0.0003845607,0.0003420814,0.001848036,0.003501154,0.001297388,0.002950337,0.004747482,0.0009495495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03872128,"about_ca_system_score_gemma":0.0533864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98915,"about_ca_topic_score_gemma":0.9958518,"domain_scores_codex":[0.9977355,0.0001980284,0.00004575953,0.0002175394,0.0004475955,0.001355543],"domain_scores_gemma":[0.9980611,0.0001833703,0.000137732,0.00005682605,0.0008034646,0.0007573942],"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":[0.0003222424,0.0001697524,0.1246474,0.0002739847,0.0001341183,0.01737339,0.280812,0.0005068246,0.002300804,0.1814594,0.2903061,0.1016941],"study_design_scores_gemma":[0.00002384695,0.00005268824,0.07800135,0.0003558935,0.00004417184,0.002578072,0.2610502,0.0002383279,0.0005675887,0.002248877,0.6547336,0.0001054327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7283993,0.006892072,0.0008062128,0.06611389,0.001411406,0.0001096388,0.001670083,0.00009432175,0.194503],"genre_scores_gemma":[0.7811753,0.00258628,0.0003764822,0.007338227,0.00009889455,0.00003532286,0.0002118103,0.00006613544,0.2081116],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03872128,"threshold_uncertainty_score":0.2809439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746062636679317,"score_gpt":0.2304164600120502,"score_spread":0.2129558336452571,"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."}}