{"id":"W1920875642","doi":"10.1002/ajh.23713","title":"Reference intervals of complete blood count constituents are highly correlated to waist circumference: Should obese patients have their own “normal values?”","year":2014,"lang":"en","type":"article","venue":"American Journal of Hematology","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Red blood cell distribution width; Mean corpuscular volume; Medicine; Complete blood count; White blood cell; Waist; Mean corpuscular hemoglobin; Hematocrit; Absolute neutrophil count; Body mass index; Mean corpuscular hemoglobin concentration; Internal medicine; Mean platelet volume; Hemoglobin; Hematology; Gastroenterology; Obesity; Immunology; Platelet","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005553247,0.0003317004,0.001530728,0.0004006003,0.00008202082,0.00001597412,0.0004793059,0.0001337749,0.0001552971],"category_scores_gemma":[0.0009199623,0.0002558302,0.0002479351,0.0002982247,0.001105764,0.0001051441,0.0001530807,0.000480401,0.0000334724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009176631,"about_ca_system_score_gemma":0.0002316178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003229,"about_ca_topic_score_gemma":0.00000907818,"domain_scores_codex":[0.9968234,0.0003976775,0.001412266,0.0003124721,0.0005887281,0.0004654456],"domain_scores_gemma":[0.9952891,0.0003657941,0.001962375,0.0004789431,0.001408834,0.0004949631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001689906,0.0007855027,0.9867008,0.0002178424,0.0008131787,0.0002011354,0.0005826913,0.000006885144,0.001532904,0.0003863423,0.001748013,0.005334837],"study_design_scores_gemma":[0.01270081,0.01196586,0.933786,0.005602373,0.002128127,0.004508025,0.003593349,0.0003874655,0.01829762,0.0007977848,0.005187063,0.001045564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967955,0.0002214269,0.0004867805,0.0005467479,0.0004445099,0.0003335586,0.00007957835,0.0000265047,0.00106544],"genre_scores_gemma":[0.9974427,0.00004395558,0.00120928,0.001172479,0.00005178802,0.00001171294,0.00002184152,0.00003168815,0.00001458195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05291481,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602779356290919,"score_gpt":0.2795449404333959,"score_spread":0.2535171468704867,"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."}}