{"id":"W4367319139","doi":"10.1515/cclm-2023-0256","title":"Pediatric reference interval verification for 16 biochemical markers on the Alinity ci system in the CALIPER cohort of healthy children and adolescents","year":2023,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Institute of Nutrition, Metabolism and Diabetes; Abbott Diagnostics; Canadian Institutes of Health Research; Abbott Laboratories","keywords":"Calipers; Concordance; Medicine; Cohort; Internal medicine; Pathology; Pediatrics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008119097,0.0004781231,0.0004683995,0.001562879,0.0007591607,0.0009952636,0.0011848,0.0002825263,0.0007661022],"category_scores_gemma":[0.0118008,0.0002168459,0.000334497,0.001635843,0.0005974583,0.000307243,0.0008517705,0.0005880486,0.000281079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003374761,"about_ca_system_score_gemma":0.00572819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2698984,"about_ca_topic_score_gemma":0.3084948,"domain_scores_codex":[0.9905752,0.00119967,0.0006590351,0.001512615,0.005477692,0.0005757651],"domain_scores_gemma":[0.9865308,0.001200508,0.003339093,0.001188612,0.007278488,0.0004624065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002422288,0.00003017567,0.9789498,0.00007441733,0.00005333544,0.0000981291,0.0005028411,0.0003196213,0.002944523,0.0002332442,0.001002241,0.01554952],"study_design_scores_gemma":[0.00001309022,0.0001619502,0.9910941,0.00004540259,0.00004437691,0.0003065241,0.000236459,0.0007591255,0.004588047,0.00003741839,0.002701071,0.00001252259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789685,0.002255642,0.007962134,0.0001629239,0.00005775952,0.0002951178,0.003065111,0.0002422681,0.006990489],"genre_scores_gemma":[0.9851829,0.0004570678,0.01086882,0.0001224871,0.00001827086,0.0001174147,0.002453488,0.00004242786,0.000737098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2698984,"threshold_uncertainty_score":0.5366549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07343894560163486,"score_gpt":0.3940778986415965,"score_spread":0.3206389530399617,"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."}}