{"id":"W4210354679","doi":"10.1097/j.pain.0000000000002574","title":"Beyond Black vs White: racial/ethnic disparities in chronic pain including Hispanic, Asian, Native American, and multiracial US adults","year":2022,"lang":"en","type":"article","venue":"Pain","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute on Aging","keywords":"Socioeconomic status; Demography; Medicine; Ethnic group; Health equity; Chronic pain; Poisson regression; Immigration; Race (biology); Gerontology; Population; Public health; Physical therapy; Geography; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001013558,0.0001278851,0.0002080846,0.0005130569,0.0005559644,0.0005946763,0.0002452345,0.0002642008,0.00321233],"category_scores_gemma":[0.002454532,0.00008313415,0.0004135334,0.0007331755,0.0002408481,0.0006514088,0.0006952881,0.0004489597,0.0001426455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225756,"about_ca_system_score_gemma":0.000642249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01604063,"about_ca_topic_score_gemma":0.03298287,"domain_scores_codex":[0.9994763,0.0001772105,0.00004066987,0.00009832732,0.0001032944,0.0001042789],"domain_scores_gemma":[0.9990886,0.0002086137,0.0003352665,0.00005105064,0.0001500291,0.0001663001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008818101,0.00007978618,0.9863017,0.00005577096,0.0001418724,0.00004719652,0.0009689188,0.00006639192,0.0001530993,0.0007638709,0.0009006764,0.0104326],"study_design_scores_gemma":[0.000005974039,0.00003708355,0.9965065,0.0000836426,0.00006633765,0.00006443876,0.001332315,0.0003729047,0.00008475066,0.0004839856,0.0009565685,0.000005624424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930382,0.001561488,0.0003043145,0.0009693353,0.00004303319,0.00001510809,0.0007420076,0.000004496807,0.003321829],"genre_scores_gemma":[0.999245,0.00021407,0.00008082876,0.0001347225,0.00002498915,0.00000735002,0.0001736226,0.000001483016,0.0001179251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01604063,"threshold_uncertainty_score":0.03189451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192343354262821,"score_gpt":0.2894826667369749,"score_spread":0.2775592331943467,"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."}}