{"id":"W4304695467","doi":"10.21203/rs.3.rs-2135212/v1","title":"Learning from intersectoral initiatives to respond to the needs of refugees, asylum seekers, and migrants without status in the context of COVID-19 in Quebec and Ontario: A qualitative multiple case study protocol","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université TÉLUQ; Université du Québec en Abitibi-Témiscamingue; École Nationale d'Administration Publique; Centres Intégré Universitaires de Santé et de Services Sociaux; Université du Québec à Montréal; McMaster University; University of Toronto; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal","funders":"","keywords":"Refugee; Context (archaeology); Coronavirus disease 2019 (COVID-19); Qualitative research; Political science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Economic growth; Geography; Sociology; Medicine; Infectious disease (medical specialty); Social science; Virology; Outbreak; Law; Disease; Economics","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":[0.03514168,0.001403212,0.001236937,0.002268948,0.03221404,0.006570151,0.006428635,0.004053697,0.02284902],"category_scores_gemma":[0.0191967,0.001759124,0.00107854,0.002703642,0.009782495,0.002593667,0.009911264,0.004765275,0.001461051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07212538,"about_ca_system_score_gemma":0.2263076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.465388,"about_ca_topic_score_gemma":0.8087239,"domain_scores_codex":[0.9819677,0.009180609,0.0008073667,0.001630739,0.001135835,0.005277725],"domain_scores_gemma":[0.9798297,0.006737311,0.0010896,0.001382553,0.004176563,0.006784266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00125654,0.003522723,0.008801419,0.002570434,0.00003093219,0.003251929,0.8857597,0.000780387,0.002232714,0.01050311,0.02119089,0.06009916],"study_design_scores_gemma":[0.001090129,0.0007631934,0.009177893,0.001562778,0.0000492024,0.0002341415,0.8844575,0.0002795087,0.001265957,0.002464655,0.09856834,0.0000866503],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.442748,0.000792638,0.009288429,0.01063813,0.0004142191,0.4864405,0.004560486,0.0001666825,0.04495082],"genre_scores_gemma":[0.3420415,0.001168016,0.03949133,0.003226011,0.00008263806,0.5815014,0.001093455,0.00006042553,0.03133523],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.5346121,"threshold_uncertainty_score":0.9253582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460697309648715,"score_gpt":0.5241007545886578,"score_spread":0.3780310236237863,"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."}}