{"id":"W2298192900","doi":"","title":"Maternal and Perinatal Health of Refugees in Ontario: A Population-based Perspective","year":2015,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Refugee; Population; Medicine; Environmental health; Political science; Computer science; Law","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":[0.0006019819,0.0002225481,0.0003693466,0.00150127,0.00219476,0.001103634,0.0005737673,0.0003549243,0.001691312],"category_scores_gemma":[0.001540327,0.0002814925,0.0005075456,0.003368863,0.0006605712,0.0005002376,0.001296532,0.0004424776,0.0001400227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01158762,"about_ca_system_score_gemma":0.02062884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9572772,"about_ca_topic_score_gemma":0.9806228,"domain_scores_codex":[0.9994763,0.00006084892,0.00004927329,0.0000644989,0.0001513459,0.0001977529],"domain_scores_gemma":[0.9991053,0.00006534961,0.0003178137,0.0000322162,0.0002036534,0.00027574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004568587,0.0000245714,0.9848106,0.0001731029,0.00006410398,0.000476681,0.00606512,0.00002402497,0.0002156971,0.0001794677,0.001358158,0.006562783],"study_design_scores_gemma":[0.000004521401,0.00002880699,0.9900379,0.000151301,0.00002507357,0.0001599356,0.007939189,0.00002142377,0.00001323132,0.00003179821,0.001578477,0.000008393214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866115,0.00368928,0.00004996161,0.002254217,0.00002964503,0.00005375256,0.003523414,0.000005645134,0.003782619],"genre_scores_gemma":[0.9915648,0.006000783,0.0001525867,0.0004316252,0.00002225738,0.00004482239,0.0009339651,0.00000343143,0.0008458902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04272276,"threshold_uncertainty_score":0.08594865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403154797739517,"score_gpt":0.4115651157667127,"score_spread":0.3875335677893176,"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."}}