{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005938142,0.0002261779,0.0004604961,0.0002945879,0.0002213947,0.00001626626,0.0001023695,0.00006872588,0.0002144444],"category_scores_gemma":[0.002945153,0.0002199039,0.0001135283,0.000649495,0.000414858,0.00009994631,0.000166579,0.0005623885,0.000007005724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008705125,"about_ca_system_score_gemma":0.0001693323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006002549,"about_ca_topic_score_gemma":0.001926667,"domain_scores_codex":[0.9955081,0.002781182,0.0004193285,0.0004552062,0.0004208618,0.0004153367],"domain_scores_gemma":[0.9981931,0.001223833,0.000165,0.0002189705,0.00005967991,0.0001393967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001996395,0.0009798841,0.346254,0.003605028,0.0001671428,0.00008615544,0.06244584,0.0005509392,0.00653095,0.001052675,0.004660862,0.5716702],"study_design_scores_gemma":[0.00377065,0.00334143,0.880357,0.0003995307,0.00004140842,0.000004386754,0.01797068,0.0875317,0.00003845149,0.0006176456,0.005405196,0.0005219356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899396,0.001242723,0.00090082,0.00545362,0.0001385642,0.001074702,0.0000230352,0.00008497899,0.001141929],"genre_scores_gemma":[0.9966794,0.0000967642,0.0003964539,0.001677697,0.0002397907,0.0002295242,0.00008307154,0.00003747754,0.0005598056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5711482,"threshold_uncertainty_score":0.8967422,"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."}}