{"id":"W4312628920","doi":"10.2307/j.ctv2xn16f3.13","title":"EFFETS DE LA COVID-19 SUR LA POPULATION ET LES ORGANISMES COMMUNAUTAIRES À MONTRÉAL-NORD","year":2022,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.001709821,0.0004727812,0.0006081148,0.0008504725,0.002613387,0.002838464,0.001027431,0.0008606628,0.01187683],"category_scores_gemma":[0.006609222,0.0002688232,0.0006535296,0.001675174,0.00269761,0.0006275136,0.001943843,0.0009932833,0.0004176729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03234657,"about_ca_system_score_gemma":0.02570061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.975778,"about_ca_topic_score_gemma":0.984753,"domain_scores_codex":[0.9983942,0.0005959143,0.00003811367,0.000198567,0.0003355083,0.0004376602],"domain_scores_gemma":[0.9934399,0.00173553,0.001029853,0.000244562,0.001490926,0.002059385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00299142,0.0004001019,0.8471682,0.0003335364,0.0009640663,0.001050891,0.007714094,0.01365357,0.004515098,0.0415678,0.02147095,0.05817031],"study_design_scores_gemma":[0.00008483096,0.0002523825,0.9764209,0.00006868347,0.0001365449,0.00004641102,0.003019596,0.002268505,0.0005152145,0.001239781,0.01589872,0.00004834103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659747,0.002094205,0.0005469096,0.004795882,0.00008524777,0.00004618445,0.001968145,0.00008318965,0.0244055],"genre_scores_gemma":[0.9756426,0.0006836635,0.0001774136,0.0002230062,0.00002818586,0.00002544843,0.0002846994,0.00001243292,0.02292264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03234657,"threshold_uncertainty_score":0.2346919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608795679205648,"score_gpt":0.2408610600439573,"score_spread":0.2247731032519008,"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."}}