{"id":"W2092630579","doi":"10.2307/3552256","title":"Health Status and Health Services Utilization of Canada's Immigrant and Non-Immigrant Populations","year":2000,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Demographic economics; Medicine; Gerontology; Geography; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000362989,0.0001663741,0.0003721756,0.0003812662,0.001728591,0.00001725194,0.00009098311,0.00007345578,0.000152946],"category_scores_gemma":[0.00002993475,0.0001590352,0.0000178228,0.000527309,0.00006965316,0.0001388643,0.00002931344,0.0001656031,0.000002927851],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135244,"about_ca_system_score_gemma":0.01783471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998132,"about_ca_topic_score_gemma":0.999947,"domain_scores_codex":[0.9977477,0.0001603136,0.0005322752,0.0002404892,0.0001725123,0.001146766],"domain_scores_gemma":[0.9980432,0.00003811988,0.0001955355,0.0002142811,0.000112987,0.001395811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000781033,0.00001707552,0.8357646,0.0007683098,0.00004176474,0.000001219767,0.01357515,0.000001978183,6.142686e-7,0.03100878,0.02822349,0.09058925],"study_design_scores_gemma":[0.000380303,0.00004306262,0.804081,0.000129682,0.000003524295,8.74239e-7,0.002666496,0.00006236327,1.639948e-7,0.000319911,0.1922089,0.0001036838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7299824,0.003309213,0.000004187662,0.260746,0.000154032,0.0008625833,0.0009169972,0.00003447015,0.003990164],"genre_scores_gemma":[0.9815165,0.001935444,0.00002473135,0.01479127,0.0001337176,0.00003424653,0.0001986033,0.00002151968,0.001343939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2515341,"threshold_uncertainty_score":0.999571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05679996218112986,"score_gpt":0.3787870277163199,"score_spread":0.3219870655351901,"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."}}