{"id":"W4237018502","doi":"10.32920/ryerson.14647173.v1","title":"Racialized immigrant women's health status in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Demographic economics; Political science; Human capital; Developed country; Order (exchange); Economic growth; Development economics; Demography; Sociology; Economics; Population","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":[0.0004411043,0.0001669741,0.0002409937,0.0009425491,0.00750749,0.001707747,0.0006724134,0.0004116061,0.003830895],"category_scores_gemma":[0.001648792,0.0001233258,0.0001970585,0.002145123,0.001394465,0.0004401986,0.001491679,0.0008387883,0.0001841716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0316515,"about_ca_system_score_gemma":0.05892691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936315,"about_ca_topic_score_gemma":0.9972065,"domain_scores_codex":[0.9995762,0.0000390924,0.000009918554,0.00002783256,0.0001030492,0.000243944],"domain_scores_gemma":[0.9992478,0.0000521712,0.00008060528,0.00001143265,0.0003064687,0.0003013581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002818701,0.0002832628,0.7258782,0.0001806785,0.00003864282,0.001609361,0.1794356,0.0002754543,0.001007175,0.005102723,0.01929028,0.06661686],"study_design_scores_gemma":[0.00001348217,0.00007559662,0.6708218,0.0001977403,0.00002296521,0.000241013,0.3105252,0.0001715449,0.0002406829,0.0002984859,0.0173578,0.00003370273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845725,0.0007449657,0.00001661326,0.002754621,0.00005045825,0.00002333329,0.0004321994,0.000003709304,0.01140163],"genre_scores_gemma":[0.9927504,0.001151417,0.00005483481,0.0004767124,0.00001077671,0.00001210565,0.0001712435,0.000003525413,0.005368996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0316515,"threshold_uncertainty_score":0.2296488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171131305386228,"score_gpt":0.3291493089549867,"score_spread":0.3074379959011245,"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."}}