{"id":"W2946848113","doi":"10.3899/jrheum.190287","title":"Insurance Payer Type and Patient Income Are Associated with Outcomes after Total Shoulder Arthroplasty","year":2019,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Medicine; Medicaid; Quartile; Logistic regression; Rehabilitation; Diagnosis code; Arthroplasty; Household income; Emergency medicine; Demography; Internal medicine; Health care; Surgery; Physical therapy; Confidence interval; Environmental health; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009464934,0.000207149,0.000203577,0.0006377605,0.0002217955,0.000460811,0.0002825171,0.0003141752,0.001829262],"category_scores_gemma":[0.006058624,0.0001064751,0.0005125185,0.0007804099,0.0002586177,0.0003450623,0.0005246726,0.0005131405,0.0001859867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002224087,"about_ca_system_score_gemma":0.0003833316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002576335,"about_ca_topic_score_gemma":0.002974242,"domain_scores_codex":[0.9994481,0.0001579383,0.00007739886,0.00005784267,0.0001346281,0.0001240759],"domain_scores_gemma":[0.9951723,0.0007752046,0.003169887,0.000129537,0.0002948049,0.0004582745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003802748,0.00002480792,0.9993305,0.00000377944,0.0000317192,0.00001997555,0.000008978307,0.00003120195,0.00002499439,0.000005834846,0.0000376558,0.0004426457],"study_design_scores_gemma":[0.000002010074,0.00003020786,0.999639,0.000003811985,0.00001322353,0.0000776353,0.00002699822,0.0001378536,0.00001678997,0.0000134582,0.00003762765,0.000001216684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990426,0.0002203137,0.00006439921,0.00009652266,0.000006207914,0.000003721324,0.0002677462,0.000002422884,0.0002960412],"genre_scores_gemma":[0.9996656,0.00005457004,0.00002867867,0.00001189742,0.0000122796,0.00000251739,0.0001680853,7.877121e-7,0.00005561673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002576335,"threshold_uncertainty_score":0.00611949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007063865540251481,"score_gpt":0.2304316476872809,"score_spread":0.2233677821470295,"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."}}