{"id":"W1899267813","doi":"10.1007/s11999-015-4537-x","title":"Editor's Spotlight/Take 5: What Drives Variation in Episode-of-care Payments for Primary TKA? An Analysis of Medicare Administrative Data","year":2015,"lang":"en","type":"letter","venue":"Clinical Orthopaedics and Related Research","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Quartile; Reimbursement; Payment; Medicaid; Ridiculous; Government (linguistics); Emergency medicine; Demography; Medical emergency; Health care; Finance","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":[0.01741343,0.001760292,0.00225354,0.002341743,0.002077686,0.005823412,0.003919885,0.01073935,0.01531725],"category_scores_gemma":[0.1338428,0.0007405744,0.002021903,0.002149622,0.002441558,0.003604743,0.001684687,0.01007601,0.004815476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851971,"about_ca_system_score_gemma":0.005147758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005867263,"about_ca_topic_score_gemma":0.005668247,"domain_scores_codex":[0.9906777,0.003427053,0.001401337,0.001132653,0.002930302,0.0004310544],"domain_scores_gemma":[0.9048128,0.05372814,0.006576358,0.002723329,0.02873953,0.003419837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009004235,0.00001860847,0.001663506,0.0003872669,0.0001021855,0.0001311167,0.000108992,0.00003779933,0.00004339662,0.0005552281,0.9871194,0.009742467],"study_design_scores_gemma":[0.0007792548,0.0003358907,0.01836482,0.006196311,0.001097618,0.001168781,0.002029554,0.00289849,0.000746607,0.01212441,0.9539571,0.0003010326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001424609,0.006542237,0.0006884399,0.6519787,0.3359691,0.00006864667,0.00156881,0.0001779227,0.001581547],"genre_scores_gemma":[0.01144924,0.004718911,0.0007612043,0.3748811,0.6049716,0.00009945143,0.0003613968,0.0001627971,0.00259424],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01741343,"threshold_uncertainty_score":0.09209216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2606475524256401,"score_gpt":0.4629472244669151,"score_spread":0.2022996720412749,"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."}}