{"id":"W1996641804","doi":"10.1016/j.clinbiochem.2009.01.014","title":"Canadian Laboratory Initiative on Pediatric Reference Interval Database (CALIPER): Pediatric reference intervals for an integrated clinical chemistry and immunoassay analyzer, Abbott ARCHITECT ci8200","year":2009,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Calipers; Spectrum analyzer; Immunoassay; Medicine; Medical physics; Computer science; Engineering; Mechanical engineering; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01188585,0.001325067,0.001889827,0.007413533,0.002398206,0.002445018,0.00653884,0.0009639082,0.005648643],"category_scores_gemma":[0.02611155,0.0007671503,0.0009757116,0.01107566,0.0006063993,0.0009714498,0.00144427,0.002373595,0.002822915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02655414,"about_ca_system_score_gemma":0.08148547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8954117,"about_ca_topic_score_gemma":0.8976136,"domain_scores_codex":[0.9842572,0.001949259,0.001209997,0.001366912,0.01060925,0.0006073911],"domain_scores_gemma":[0.9587538,0.002225333,0.003277382,0.001735493,0.03203919,0.001968739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001153219,0.0004623657,0.07028054,0.0009451362,0.0003796563,0.0001777719,0.0003981767,0.002674688,0.002102708,0.01431501,0.6704402,0.2366706],"study_design_scores_gemma":[0.001116094,0.000440706,0.3432394,0.0007752909,0.0008150788,0.000996907,0.0002448584,0.01390291,0.009372159,0.003379063,0.6254084,0.0003090854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06723992,0.03276206,0.2325663,0.01049879,0.003409977,0.003879396,0.4903706,0.02811532,0.1311577],"genre_scores_gemma":[0.2080644,0.008224579,0.4438906,0.005333968,0.0004978063,0.002713423,0.298836,0.002549253,0.02988995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8954117,"threshold_uncertainty_score":0.2104085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242334597537856,"score_gpt":0.4357292857863788,"score_spread":0.3114958260325932,"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."}}