{"id":"W7026723438","doi":"","title":"Anti-Black Racism and Maternal Health in the Greater Toronto Area","year":2023,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racism; Racialization; Health care; Black women; Public health; Race (biology); Economic Justice; Institutional racism; Maternal health","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":[0.0006791056,0.0001634638,0.0001614416,0.0007679127,0.01132821,0.002598077,0.0006008599,0.0004232422,0.005616584],"category_scores_gemma":[0.001801809,0.0002056294,0.0001340883,0.001361712,0.00314791,0.0006124011,0.003336533,0.001013363,0.0002211322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03632088,"about_ca_system_score_gemma":0.03655005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9753436,"about_ca_topic_score_gemma":0.9921051,"domain_scores_codex":[0.9989663,0.000314853,0.00002016354,0.00005391578,0.0002158045,0.000428982],"domain_scores_gemma":[0.9983194,0.0001828777,0.0003121951,0.00004954582,0.0002155769,0.0009204411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001083058,0.00009408608,0.2334848,0.0003099754,0.00004044629,0.002009471,0.6472336,0.0001368856,0.0009686603,0.0187798,0.0391228,0.05771123],"study_design_scores_gemma":[0.000009442178,0.00004673698,0.4215807,0.0005538361,0.00002546295,0.0004697204,0.4735741,0.0001083931,0.0002199544,0.0008621858,0.1025173,0.00003223562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160945,0.004190118,0.0001057746,0.01724681,0.0001447936,0.00003593356,0.0004051295,0.00001654212,0.06176036],"genre_scores_gemma":[0.9886057,0.002808867,0.0001212316,0.001104221,0.00003634307,0.00001765422,0.00008405386,0.000009719368,0.007212291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03632088,"threshold_uncertainty_score":0.2635277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551238127191181,"score_gpt":0.1795884590526243,"score_spread":0.1640760777807125,"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."}}