{"id":"W7000816289","doi":"","title":"Health and Prescription Drug Coverage Inequity: Towards Inclusive Migration and Health Policy","year":2020,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health policy; Health care; Medical prescription; Prescription drug; Payment; Health equity; Immigration; International health; Health insurance","routes":{"ca_aff":false,"ca_fund":false,"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":[0.01535584,0.0006344314,0.0008838986,0.004019942,0.008534734,0.01451507,0.001823801,0.003160696,0.005629958],"category_scores_gemma":[0.02057607,0.0003824199,0.0008526036,0.004341815,0.01586658,0.01513664,0.01567042,0.005586295,0.0002189077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01910819,"about_ca_system_score_gemma":0.05160195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.11412,"about_ca_topic_score_gemma":0.1178043,"domain_scores_codex":[0.992449,0.004243158,0.0001990024,0.0004505425,0.0008452827,0.00181297],"domain_scores_gemma":[0.9887989,0.006233986,0.001147047,0.0006191413,0.001387432,0.001813603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006048593,0.0002336006,0.0530556,0.0009530317,0.000133653,0.0003809803,0.1107081,0.001580854,0.000199705,0.6559497,0.01778233,0.158962],"study_design_scores_gemma":[0.00003235539,0.0001555478,0.04639572,0.004933206,0.0001102211,0.0001923062,0.2930832,0.002559141,0.0004218376,0.4742135,0.1778284,0.00007441949],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.222699,0.02425419,0.009467999,0.6343483,0.001055001,0.0002206748,0.0004607011,0.00007902167,0.1074151],"genre_scores_gemma":[0.9585029,0.01595425,0.004908327,0.01532494,0.0004739503,0.000164015,0.00013996,0.00003174479,0.004499755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.11412,"threshold_uncertainty_score":0.2269114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059776543975196,"score_gpt":0.3018806970708801,"score_spread":0.2812829316311282,"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."}}