{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005128366,0.0001144071,0.0002952884,0.0001327218,0.0001978695,0.00001480002,0.00004977277,0.00007708524,0.0001603836],"category_scores_gemma":[0.00002313881,0.0001339976,0.00001640068,0.0003994475,0.0000129911,0.0001213325,0.00001204402,0.0001770582,0.000002967751],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311739,"about_ca_system_score_gemma":0.008490762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996265,"about_ca_topic_score_gemma":0.9998966,"domain_scores_codex":[0.9978311,0.0005468227,0.0007585593,0.0002650252,0.0001987139,0.000399758],"domain_scores_gemma":[0.9989691,0.00006569239,0.0004728442,0.0001931782,0.0001126106,0.0001865139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004824929,0.0004809889,0.5951366,0.001184083,0.00003888715,0.000002954587,0.1710728,0.00004106839,0.00003640266,0.02946787,0.1759314,0.02655869],"study_design_scores_gemma":[0.0006514304,0.00005273294,0.9650004,0.00005000259,0.000002687795,0.000003348512,0.002670724,0.00006101504,0.00002099616,0.0004642909,0.03094032,0.00008208141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684654,0.007409956,0.000240563,0.02094514,0.0004294236,0.000638251,0.0003959968,0.00002691172,0.001448324],"genre_scores_gemma":[0.9855041,0.0007655789,0.00002374533,0.01037455,0.00004493758,0.00003381965,0.001651578,0.00001266778,0.001589014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3698638,"threshold_uncertainty_score":0.9971302,"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."}}