{"id":"W3176294728","doi":"10.1016/j.healthpol.2021.06.007","title":"Associations of health services utilization by prescription drug coverage and immigration category in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Health Policy","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University Medical Centre; Impact; McMaster University","funders":"","keywords":"Immigration; Medical prescription; Prescription drug; Logistic regression; Medicine; Health care; Refugee; Demographic economics; Environmental health; Demography; Economic growth; Geography; Sociology; Nursing","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":[0.0009303537,0.0003256913,0.0005393023,0.002809544,0.005947025,0.002508206,0.002034259,0.0008784065,0.00618676],"category_scores_gemma":[0.004660966,0.0006200869,0.001233303,0.00746278,0.001353761,0.0007734442,0.001758441,0.001358873,0.000373851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07798318,"about_ca_system_score_gemma":0.1304232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991953,"about_ca_topic_score_gemma":0.99967,"domain_scores_codex":[0.9976953,0.0001848225,0.0002452499,0.0001879552,0.000525875,0.001160758],"domain_scores_gemma":[0.9912658,0.000563875,0.001752186,0.0001810148,0.003119144,0.003117915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001140222,0.00007800942,0.9857857,0.00007253332,0.0001068537,0.0001330399,0.001565978,0.0002358682,0.0000890391,0.000518902,0.006079252,0.005220888],"study_design_scores_gemma":[0.00001794553,0.00001858357,0.9929407,0.00009942746,0.00003839604,0.00004284641,0.003869294,0.0003000489,0.00003822468,0.00006119324,0.002554704,0.00001862251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740281,0.002204432,0.00009769322,0.004676763,0.0000724271,0.00007836145,0.01071414,0.00003309529,0.008094995],"genre_scores_gemma":[0.9902445,0.00152078,0.0001748456,0.0004747123,0.00002513189,0.0000333153,0.002122163,0.00001408226,0.00539036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07798318,"threshold_uncertainty_score":0.5658102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327231706805504,"score_gpt":0.3505090609029517,"score_spread":0.3177858902224013,"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."}}