{"id":"W4413595256","doi":"10.64628/aam.n9vkug6ht","title":"The pandemic created challenges and opportunities for Canadian immigration","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Pandemic; Coronavirus disease 2019 (COVID-19); Political science; Medicine; Infectious disease (medical specialty); Law","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":[0.002372854,0.0005344241,0.0004751296,0.001857241,0.02148641,0.0134902,0.0008734583,0.00368807,0.03899183],"category_scores_gemma":[0.007115622,0.0002718727,0.0005867928,0.004400739,0.006387509,0.003648916,0.004985086,0.004295479,0.00148475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09509077,"about_ca_system_score_gemma":0.1971527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9781692,"about_ca_topic_score_gemma":0.9869654,"domain_scores_codex":[0.9983186,0.0002192321,0.00002436667,0.00008191559,0.0004166489,0.0009392748],"domain_scores_gemma":[0.9970511,0.0004229805,0.0001180403,0.00009733804,0.00106495,0.001245587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008786919,0.00004884579,0.01261377,0.0002200369,0.00004333448,0.0009028215,0.01880633,0.001327247,0.0002332457,0.4545527,0.4513,0.05986385],"study_design_scores_gemma":[0.00001696491,0.00001704054,0.02186049,0.0005333936,0.00002858361,0.0002791861,0.1231255,0.00129336,0.0001693602,0.06821918,0.7843449,0.0001121148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08785214,0.009869742,0.001404922,0.5033269,0.007609889,0.00007498274,0.001553087,0.0001629322,0.3881454],"genre_scores_gemma":[0.7149951,0.02153137,0.003790523,0.02913814,0.002493778,0.00006131403,0.000889206,0.0002808348,0.2268198],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09509077,"threshold_uncertainty_score":0.6899351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1846937362585737,"score_gpt":0.3593912555229115,"score_spread":0.1746975192643379,"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."}}