{"id":"W4389495548","doi":"10.4000/statsoc.501","title":"Pandémie, statistiques et fédéralisme : la COVID au Canada","year":2022,"lang":"fr","type":"article","venue":"Statistique et société","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); Geography; Art; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001927973,0.0003886742,0.00044322,0.00004539927,0.0009642605,0.00009923479,0.0003985796,0.0001216276,0.06398297],"category_scores_gemma":[0.0003905542,0.0004643209,0.00006878381,0.0002839503,0.0003730177,0.0003259288,0.0006092708,0.00105126,0.0001219364],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006003135,"about_ca_system_score_gemma":0.004213191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9618846,"about_ca_topic_score_gemma":0.9835289,"domain_scores_codex":[0.9946143,0.002163435,0.000552682,0.0005990359,0.0009414804,0.001129054],"domain_scores_gemma":[0.9965713,0.001928076,0.0003436973,0.0003633295,0.00002531525,0.0007683031],"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":[0.00007664504,0.0002112035,0.009263727,0.000359371,0.00003605765,0.0007401515,0.02487501,0.001321278,0.00007642779,0.09983053,0.827266,0.03594356],"study_design_scores_gemma":[0.0007914994,0.000319524,0.07475488,0.00006461587,0.00004151806,0.00008521882,0.007708641,0.0003877529,0.00003387018,0.01449801,0.9007382,0.0005762288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1684872,0.005929539,0.01088603,0.5086504,0.009100906,0.002806356,0.126924,0.0003071588,0.1669084],"genre_scores_gemma":[0.8813486,0.0042458,0.007396939,0.07402357,0.0003488213,0.0004150614,0.001764978,0.000153819,0.0303024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7128614,"threshold_uncertainty_score":0.9997808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419865354446661,"score_gpt":0.3778979706875277,"score_spread":0.3336993171430611,"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."}}