{"id":"W4385726483","doi":"10.32920/23928888","title":"Sanctuary Cities and COVID-19: The Case of Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Context (archaeology); 2019-20 coronavirus outbreak; Political science; Position (finance); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychological intervention; Economic growth; Public health; Public policy; Development economics; Geography; Business; Medicine; Economics; Virology","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":[0.00108003,0.0002983038,0.0004672073,0.001180574,0.03500673,0.006610785,0.001844353,0.001909977,0.00624551],"category_scores_gemma":[0.002251507,0.0002567669,0.0005080834,0.004056901,0.007229173,0.001376786,0.004442473,0.003612804,0.0002396318],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1612011,"about_ca_system_score_gemma":0.1561865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982033,"about_ca_topic_score_gemma":0.9992701,"domain_scores_codex":[0.9972517,0.0003213664,0.00003166795,0.0001181448,0.0003787322,0.00189839],"domain_scores_gemma":[0.9978281,0.0002041856,0.0001448896,0.0000686238,0.0006156777,0.001138544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002164814,0.0002207197,0.1499841,0.0003785158,0.000136206,0.006837808,0.1715549,0.002672568,0.0005945634,0.5006958,0.1125398,0.05416859],"study_design_scores_gemma":[0.00006507749,0.0000587888,0.1810341,0.0008967865,0.0001525007,0.0008264062,0.4417488,0.002317582,0.0003462278,0.01437056,0.3579905,0.0001927074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7369666,0.009635713,0.000702616,0.05890394,0.0002904248,0.0001126332,0.001001383,0.0000352537,0.1923514],"genre_scores_gemma":[0.9825166,0.002661482,0.0002810891,0.002344958,0.00002527581,0.00001509347,0.0001357957,0.00001746973,0.01200231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1612011,"threshold_uncertainty_score":0.9728878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09267092410649858,"score_gpt":0.3405500954266296,"score_spread":0.247879171320131,"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."}}