{"id":"W4387013717","doi":"10.1016/j.annepidem.2023.06.009","title":"Sources of COVID-19 infection among Chinese immigrants in Canada","year":2023,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Pandemic; Immigration; Coronavirus disease 2019 (COVID-19); Public health; Social distance; Demography; Population; Cross-sectional study; Disease; Gerontology; Environmental health; Infectious disease (medical specialty); Nursing; Geography","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":[0.0004493296,0.0004370564,0.0004364367,0.002874163,0.004558502,0.002084846,0.001094444,0.000702411,0.003585106],"category_scores_gemma":[0.001717814,0.0004815747,0.0006101706,0.006622043,0.0009085602,0.0006565806,0.001845192,0.001243735,0.0002916747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01431185,"about_ca_system_score_gemma":0.02820967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9795184,"about_ca_topic_score_gemma":0.9840111,"domain_scores_codex":[0.9988343,0.00009900409,0.00008690228,0.0001061029,0.0002120968,0.000661552],"domain_scores_gemma":[0.9980056,0.00009328587,0.0004946069,0.00004023172,0.0006553377,0.0007110761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003882512,0.00003005872,0.9956698,0.00002209979,0.00002598395,0.0001923399,0.001578995,0.00001808783,0.00007059587,0.0001053961,0.0007124333,0.001535378],"study_design_scores_gemma":[0.000005715142,0.00001907322,0.982512,0.00009346661,0.00002808382,0.000149252,0.01615491,0.0001095689,0.00004320861,0.00004318562,0.0008235113,0.00001811898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931108,0.0009359657,0.00006955592,0.0008404718,0.00003127125,0.00004555064,0.00249508,0.000006922322,0.002464533],"genre_scores_gemma":[0.9970309,0.0008181746,0.00007744352,0.0002791475,0.00001795399,0.0000195097,0.0006377291,0.000005351436,0.001113778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02048165,"threshold_uncertainty_score":0.1038402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2157770733743685,"score_gpt":0.4989838636846081,"score_spread":0.2832067903102395,"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."}}