{"id":"W2973571486","doi":"10.1182/blood-2018-99-116322","title":"Pediatric Reference Intervals for the DxH 520* Hematology Analyzer","year":2018,"lang":"en","type":"article","venue":"Blood","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; Hospital for Sick Children","funders":"","keywords":"Mean corpuscular volume; Medicine; Red blood cell distribution width; Hematocrit; Mean corpuscular hemoglobin concentration; Mean corpuscular hemoglobin; Hematology analyzer; Complete blood count; Hematology; White blood cell; Internal medicine; Gastroenterology; Pediatrics","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":[0.004575827,0.0008629958,0.00066236,0.002835218,0.0004407657,0.001425722,0.00140479,0.0005659302,0.004618384],"category_scores_gemma":[0.007623846,0.0002552222,0.0004564381,0.002051357,0.000260737,0.0005604601,0.0008649642,0.00104649,0.00309036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008324272,"about_ca_system_score_gemma":0.001047774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002273083,"about_ca_topic_score_gemma":0.001425244,"domain_scores_codex":[0.992811,0.002134096,0.0009481353,0.001169753,0.002720612,0.0002163957],"domain_scores_gemma":[0.9934769,0.0009884519,0.001380515,0.0006176364,0.003309556,0.0002268567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002683823,0.0005408876,0.5510721,0.0008771084,0.0002604092,0.0005873025,0.0006528664,0.002505366,0.02225375,0.006445509,0.06301241,0.3491085],"study_design_scores_gemma":[0.0004047236,0.003589821,0.6608886,0.001126755,0.0004984812,0.007763522,0.0005923773,0.01960486,0.06313404,0.002438299,0.2397966,0.0001619707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4824993,0.03522741,0.3043189,0.00193314,0.002280126,0.00197485,0.04076361,0.01460448,0.1163982],"genre_scores_gemma":[0.7116846,0.004374735,0.2322236,0.00110461,0.000435928,0.002786794,0.03416579,0.0007701512,0.01245373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004618384,"threshold_uncertainty_score":0.0241996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008188753657593,"score_gpt":0.4100695596453737,"score_spread":0.3092506842796143,"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."}}