{"id":"W2559705994","doi":"10.1182/blood.v118.21.4748.4748","title":"Preoperative Hemoglobin Levels, Characteristics, and Resource Utilization in Total Hip Replacement Patients with An Anemia Diagnosis Versus without An Anemia Diagnosis: An Electronic Medical Record Analysis","year":2011,"lang":"en","type":"article","venue":"Blood","topic":"Blood transfusion and management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Medicine; Anemia; Medical record; Hemoglobin; Retrospective cohort study; Population; Surgery; Pediatrics; Electronic medical record; Internal medicine; Emergency medicine","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":[0.0009465714,0.0001328954,0.000392647,0.001831736,0.0002446871,0.0006245777,0.0002279816,0.0002243011,0.001131527],"category_scores_gemma":[0.003917197,0.000235646,0.0004574337,0.003017472,0.0001714528,0.0005282893,0.0003764057,0.0003119584,0.0001801058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239833,"about_ca_system_score_gemma":0.000342837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003654601,"about_ca_topic_score_gemma":0.003269593,"domain_scores_codex":[0.9989113,0.0002424648,0.0003022299,0.0001609981,0.0002799699,0.0001031601],"domain_scores_gemma":[0.996209,0.0009831113,0.001955225,0.0001867496,0.0004327299,0.0002331783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005905055,0.00001525378,0.9994072,0.000006076153,0.00002538999,0.00001536495,0.00002103261,0.00001230911,0.00003085304,0.000003233305,0.0000339558,0.0003702056],"study_design_scores_gemma":[0.000006194225,0.00007736969,0.9993629,0.000006100048,0.00002338534,0.0001204868,0.000114004,0.0001691599,0.00003967025,0.000003444454,0.00007533203,0.000002074534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986607,0.0001396526,0.00006086151,0.00001470846,0.000002399297,0.00001093081,0.000924351,0.0000020795,0.0001843094],"genre_scores_gemma":[0.9986807,0.00008308435,0.0001016833,0.00001559661,0.000006313208,0.0000169807,0.001044,0.000001086288,0.0000505534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003654601,"threshold_uncertainty_score":0.007266641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789939102641676,"score_gpt":0.267004062016711,"score_spread":0.2391046709902942,"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."}}