{"id":"W2996600465","doi":"10.5435/jaaos-d-19-00499","title":"Red Cell Distribution Width as a Novel Predictor of Mortality and Complications After Primary Shoulder Arthroplasty","year":2019,"lang":"en","type":"article","venue":"Journal of the American Academy of Orthopaedic Surgeons","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Object Research Systems (Canada)","funders":"","keywords":"Medicine; Red blood cell distribution width; Confidence interval; Odds ratio; Periprosthetic; Receiver operating characteristic; Internal medicine; Arthroplasty; Comorbidity; Surgery","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":[0.001176035,0.0003515718,0.0003291722,0.001036481,0.0002331143,0.0008524811,0.0003869468,0.0004836508,0.001204277],"category_scores_gemma":[0.007296848,0.0002076953,0.0003286808,0.0008871031,0.0003614558,0.00048074,0.0005339704,0.0005935463,0.0002519154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124449,"about_ca_system_score_gemma":0.0002910788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006155687,"about_ca_topic_score_gemma":0.000540578,"domain_scores_codex":[0.9994598,0.0001571799,0.00009076054,0.00009027626,0.0001434087,0.00005844932],"domain_scores_gemma":[0.9939411,0.001732794,0.003078293,0.0002375706,0.0005281222,0.0004821629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009873971,0.00001539472,0.9980347,0.000006652703,0.00002397022,0.00002249907,0.000009910957,0.00006521288,0.0001067567,0.000007842808,0.00004429748,0.001564051],"study_design_scores_gemma":[0.000008894274,0.0001556982,0.9973612,0.000008870429,0.00003518351,0.0004873988,0.00004599832,0.00156442,0.0001674284,0.00006108269,0.0000982259,0.000005549104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988459,0.0004166567,0.0003166845,0.00004474431,0.000008370039,0.00000530921,0.0001173104,0.000008487508,0.0002365214],"genre_scores_gemma":[0.9995121,0.0000592477,0.0002273112,0.0000102275,0.00001437672,0.000005601299,0.0001245259,0.000001570946,0.00004505046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001204277,"threshold_uncertainty_score":0.006219506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785148971587753,"score_gpt":0.2852937674015278,"score_spread":0.2674422776856503,"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."}}