{"id":"W4380871406","doi":"10.1093/heapro/daad051","title":"Newcomer perceptions of COVID-19 countermeasures in Canada","year":2023,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Government (linguistics); Pandemic; Countermeasure; Coronavirus disease 2019 (COVID-19); Perception; Psychological intervention; Population; Settlement (finance); Political science; Social distance; Immigration; Qualitative research; Public relations; Economic growth; Psychology; Business; Environmental health; Medicine; Sociology; Disease","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003493428,0.0002754017,0.0005132608,0.0007615432,0.01260074,0.003963205,0.001226485,0.0008933022,0.003836274],"category_scores_gemma":[0.008172512,0.0003338658,0.0004006521,0.001219185,0.005728815,0.001163879,0.003759921,0.003236689,0.0001461947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04984056,"about_ca_system_score_gemma":0.0610875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9730517,"about_ca_topic_score_gemma":0.983225,"domain_scores_codex":[0.9965593,0.0007562564,0.000117051,0.0002014611,0.00113973,0.001226198],"domain_scores_gemma":[0.9906284,0.0014403,0.001053593,0.0001707942,0.002903409,0.003803398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002389714,0.0001580428,0.1160896,0.0002758904,0.00004369755,0.001494396,0.8509414,0.0002054635,0.001151045,0.001969015,0.005662207,0.02177031],"study_design_scores_gemma":[0.00001302732,0.0001330565,0.1006531,0.0002746384,0.00001742274,0.0001898316,0.8787555,0.0002076429,0.0001550046,0.0001453516,0.01937971,0.00007564537],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844729,0.0007184651,0.0001776547,0.005694563,0.00008810621,0.00005687278,0.0001126755,0.00001175749,0.008666868],"genre_scores_gemma":[0.9960315,0.0007630096,0.0001240487,0.0007602596,0.0000143561,0.00001630128,0.00005342457,0.00000959693,0.002227458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04984056,"threshold_uncertainty_score":0.3616202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09474831092267419,"score_gpt":0.4336441952332928,"score_spread":0.3388958843106187,"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."}}