{"id":"W2333462256","doi":"10.3928/01477447-20121120-27","title":"Disparity in Preoperative Patient Factors Between Insurance Types in Total Joint Arthroplasty","year":2012,"lang":"en","type":"article","venue":"Orthopedics","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medicaid; Body mass index; Osteoarthritis; Arthroplasty; Physical therapy; Multivariate analysis; Incidence (geometry); Health care; Internal medicine; Demography; Surgery; Alternative medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002144687,0.0002469976,0.000517969,0.0001783832,0.00004772051,0.00001342079,0.00003690667,0.000141204,0.0001430289],"category_scores_gemma":[0.0003800666,0.000198133,0.00008671147,0.0003704241,0.0001161053,0.0003651919,0.0001040723,0.0004790609,0.0001062887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518564,"about_ca_system_score_gemma":0.00009613787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002159562,"about_ca_topic_score_gemma":0.0007521334,"domain_scores_codex":[0.998231,0.00009633706,0.0004975958,0.0002701194,0.0003560936,0.0005488762],"domain_scores_gemma":[0.9992188,0.0001141265,0.00009530383,0.0002643445,0.00004479733,0.0002626922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004342555,0.0003161733,0.99118,0.00004026919,0.00002210743,0.00002350598,0.003251511,0.00003772895,0.00003517523,0.00005390091,0.00007232057,0.004923855],"study_design_scores_gemma":[0.001223399,0.0002380639,0.9960622,0.0001204945,0.0000169273,0.00001516786,0.0003778193,0.00002829588,0.0003311366,0.000005059031,0.001375208,0.000206256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970576,0.0004040646,0.00003456852,0.0002301657,0.0004301646,0.0005342655,0.00007692564,0.00005083633,0.001181446],"genre_scores_gemma":[0.9989626,0.00003853592,0.000339979,0.0001090508,0.0001545067,0.00002262757,0.00005525736,0.00003038908,0.0002870586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004882145,"threshold_uncertainty_score":0.8079631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395630248003643,"score_gpt":0.2655969102699549,"score_spread":0.2416406077899184,"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."}}