{"id":"W2028606524","doi":"10.1007/s10903-005-5122-2","title":"Intersection of Canadian Policy Parameters Affecting Women with Precarious Immigration Status: A Baseline for Understanding Barriers to Health","year":2005,"lang":"en","type":"review","venue":"Journal of Immigrant and Minority Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's and Gender Studies et Recherches Féministes; York University; Dalhousie University; University of Toronto; McGill University; Université de Montréal; Women's College Hospital; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Immigration; Socioeconomic status; Public health; Immigration policy; Political science; Baseline (sea); Unintended consequences; Demographic economics; Health policy; Economic growth; Environmental health; Medicine; Population; Nursing; Economics; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008205024,0.001138886,0.002831044,0.004777768,0.00427897,0.005592754,0.001828543,0.001922167,0.003243647],"category_scores_gemma":[0.01467969,0.0003746274,0.001206567,0.009475571,0.002066835,0.001982676,0.001645367,0.002671921,0.0002018544],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04990249,"about_ca_system_score_gemma":0.1989964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9188923,"about_ca_topic_score_gemma":0.9661381,"domain_scores_codex":[0.9964772,0.0007826567,0.0002550042,0.0002407034,0.00159285,0.0006515494],"domain_scores_gemma":[0.990926,0.003590676,0.0007415193,0.0001312508,0.004040089,0.0005704571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001326262,0.0001119489,0.01688262,0.02267937,0.0005094276,0.0003001158,0.003749535,0.0008945636,0.0002809328,0.0139313,0.03962442,0.9009031],"study_design_scores_gemma":[0.00007430965,0.0001707811,0.1465448,0.08188478,0.002475757,0.0006379191,0.01978662,0.0005154798,0.0007776086,0.008250301,0.7386736,0.0002081281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004444065,0.96878,0.0004203703,0.01434574,0.0005483797,0.00009407788,0.0003934279,0.00001828815,0.01095564],"genre_scores_gemma":[0.03913867,0.9559205,0.001401291,0.002120828,0.0001664575,0.00008749326,0.0002074809,0.000006786138,0.0009503723],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9500975,"threshold_uncertainty_score":0.3620697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06549507998270478,"score_gpt":0.3813556115717305,"score_spread":0.3158605315890258,"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."}}