{"id":"W3188339613","doi":"10.1101/2021.08.10.21261852","title":"Beyond Black vs White: Racial/Ethnic Disparities in Chronic Pain including Hispanic, Asian, Native American, and Multiracial U.S. Adults","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; National Institute on Aging; National Institutes of Health","keywords":"Socioeconomic status; Ethnic group; Demography; Medicine; Health equity; Non-Hispanic whites; Chronic pain; Race (biology); Asian americans; Logistic regression; Immigration; Gerontology; Population; Mexican americans; Public health; Geography; Physical therapy; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000922616,0.0001398265,0.0002395233,0.0006571246,0.000701451,0.0006680093,0.0002780601,0.0003046635,0.003615701],"category_scores_gemma":[0.003047474,0.00008830789,0.0003928609,0.001003533,0.0003076155,0.0008052004,0.0007950106,0.0005682603,0.0001781039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268304,"about_ca_system_score_gemma":0.0006818092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02230346,"about_ca_topic_score_gemma":0.04661242,"domain_scores_codex":[0.9994596,0.0001570612,0.00003584064,0.0001017874,0.0001069737,0.0001387536],"domain_scores_gemma":[0.9987764,0.0002646853,0.000478426,0.00005699855,0.0001665558,0.0002569176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006556197,0.00007240962,0.9855742,0.00004352724,0.00009803349,0.00004395855,0.0010137,0.00006834279,0.00009615807,0.001056853,0.001577192,0.01029003],"study_design_scores_gemma":[0.000005508984,0.00003352196,0.9955589,0.00008010501,0.00004953577,0.00005126799,0.001967496,0.0003289063,0.00005771178,0.000701438,0.001160003,0.000005714677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908118,0.001654716,0.0002404614,0.001708292,0.00006355264,0.00001435666,0.001135297,0.000005284658,0.0043662],"genre_scores_gemma":[0.9989785,0.0002782365,0.00007981558,0.0001928435,0.00003801448,0.000008791147,0.0002739586,0.000001808262,0.0001480067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02230346,"threshold_uncertainty_score":0.04434729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780801227528551,"score_gpt":0.3085346269332588,"score_spread":0.2907266146579733,"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."}}