{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007267345,0.00008482924,0.0002647424,0.00003047522,0.00009157858,0.00001933702,0.0001276917,0.00009497482,0.0003990308],"category_scores_gemma":[0.00224295,0.0000497816,0.00009617647,0.000152667,0.00007759974,0.00004970778,0.00003800494,0.0001616716,0.0001765061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004383992,"about_ca_system_score_gemma":0.00008017352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001723045,"about_ca_topic_score_gemma":0.00005188112,"domain_scores_codex":[0.9990997,0.0000776314,0.0003251328,0.0002018552,0.0001112446,0.000184395],"domain_scores_gemma":[0.9973912,0.001710906,0.0001507216,0.000385935,0.0002778709,0.00008336172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005637823,0.009914534,0.6581089,0.00138652,0.004067392,0.0001567618,0.001849354,0.000001227143,0.004651039,0.1616856,0.1160445,0.03649626],"study_design_scores_gemma":[0.02264198,0.005376699,0.1000201,0.00009081481,0.009241362,0.000174928,0.00043984,0.0009803281,0.003972031,0.00312045,0.8533887,0.0005528124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735315,0.002336961,0.001455094,0.0170399,0.0004506727,0.0007954287,0.00004238503,0.0000812262,0.004266848],"genre_scores_gemma":[0.9932972,0.0001146159,0.0006022544,0.004059284,0.001329078,0.00003942982,0.000005520414,0.00001113759,0.0005414849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7373441,"threshold_uncertainty_score":0.4369107,"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."}}