{"id":"W2119693317","doi":"10.1503/cmaj.051206","title":"Providing health care to medically uninsured immigrants and refugees","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Refugee; Immigration; Population; Medicine; Health care; Gerontology; Economic growth; Environmental health; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006578574,0.0002250373,0.0003472938,0.0007723829,0.003756452,0.001006777,0.0006235169,0.001962732,0.01329353],"category_scores_gemma":[0.005319058,0.0002512895,0.0003309103,0.0004110991,0.0008775378,0.0009848225,0.002608632,0.001359284,0.001004513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009392349,"about_ca_system_score_gemma":0.004495816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275488,"about_ca_topic_score_gemma":0.05769934,"domain_scores_codex":[0.9992654,0.0002464782,0.00004860147,0.00002488362,0.0000567377,0.0003579383],"domain_scores_gemma":[0.997821,0.0002260635,0.0002732443,0.00004338081,0.0001759418,0.001460426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004568914,0.001736762,0.3591017,0.001452489,0.0001537651,0.01850011,0.02233691,0.0003517581,0.002780309,0.002942948,0.2564821,0.3337044],"study_design_scores_gemma":[0.0005396609,0.004334524,0.6372764,0.007617773,0.0002558028,0.01728033,0.1475493,0.0009286274,0.001312452,0.008208347,0.174496,0.0002008744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841104,0.02339945,0.0004768518,0.2266361,0.003706535,0.0004027096,0.0004988356,0.0001577145,0.0606114],"genre_scores_gemma":[0.9236248,0.02403945,0.001659036,0.04027139,0.002316449,0.0002035833,0.0002712618,0.0000296085,0.007584398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9772452,"threshold_uncertainty_score":0.04524487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006660537072558053,"score_gpt":0.2933160019395932,"score_spread":0.2866554648670352,"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."}}