{"id":"W2465296402","doi":"10.1007/bf03404815","title":"Immigration, Women and Health in Canada","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; McGill University Health Centre","funders":"","keywords":"Immigration; Political science; Demographic economics; Geography; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002281601,0.0003363491,0.0007874686,0.003277957,0.02807882,0.008650715,0.002537978,0.004410951,0.01766836],"category_scores_gemma":[0.00654467,0.0006032613,0.0008407628,0.007276278,0.004347066,0.001799113,0.005391303,0.006304326,0.0005532412],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1620222,"about_ca_system_score_gemma":0.4795329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987005,"about_ca_topic_score_gemma":0.999543,"domain_scores_codex":[0.9957154,0.0003298663,0.0001862804,0.0001517716,0.0007516515,0.002865036],"domain_scores_gemma":[0.9873298,0.0006539336,0.0004856184,0.00007262443,0.002078981,0.009379005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005043264,0.0008857508,0.3866453,0.0012634,0.000272263,0.004008823,0.0425536,0.0009620755,0.0003461801,0.04465974,0.3600515,0.1578469],"study_design_scores_gemma":[0.0001910308,0.0001395335,0.483818,0.002336922,0.0001969412,0.0006206585,0.1556077,0.0005331697,0.0001492096,0.00353079,0.3526645,0.0002116022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4053342,0.05209241,0.0001756605,0.4333242,0.005644322,0.0002117202,0.003515004,0.00007270058,0.09962985],"genre_scores_gemma":[0.8289499,0.04296727,0.0004161701,0.05760976,0.001192123,0.0001229255,0.000933453,0.0000679182,0.06774043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1620222,"threshold_uncertainty_score":0.9719355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899583148770854,"score_gpt":0.3785036730979695,"score_spread":0.3195078416102609,"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."}}