{"id":"W2803726083","doi":"10.1093/ndt/gfy104.fp385","title":"FP385INTER-LABORATORY VARIABILITY IN PTH MEASUREMENT AND ATTAINMENT OF ANALTIC PERFORMANCE GOALS","year":2018,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Internal medicine","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":[0.02716569,0.0004447082,0.0005039878,0.001303328,0.0005996467,0.001883246,0.001186502,0.0005949121,0.002261114],"category_scores_gemma":[0.05121592,0.0002346926,0.0004899153,0.001641306,0.0008863228,0.0004899111,0.0008251946,0.000744996,0.0008462807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003644399,"about_ca_system_score_gemma":0.003520393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04783378,"about_ca_topic_score_gemma":0.02307492,"domain_scores_codex":[0.9673377,0.006371782,0.002480822,0.003942471,0.01910246,0.0007648563],"domain_scores_gemma":[0.9419263,0.0237971,0.0133807,0.00432057,0.01592143,0.000653884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008644842,0.0001325324,0.9056889,0.0003416862,0.0003869093,0.0001363623,0.001412176,0.002025006,0.003236399,0.00118561,0.004973938,0.07961591],"study_design_scores_gemma":[0.00002749529,0.0005446012,0.9758577,0.0001459327,0.0001164938,0.000552122,0.0003303332,0.003198635,0.005836536,0.0007706954,0.01258232,0.00003716903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146972,0.00476368,0.04416477,0.001389796,0.0002096454,0.0003971579,0.007928098,0.0007800719,0.02566948],"genre_scores_gemma":[0.9861133,0.0003020612,0.00891074,0.0002348884,0.00002945713,0.0001757424,0.001843075,0.0000587472,0.002332031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04783378,"threshold_uncertainty_score":0.1436676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007943529824650393,"score_gpt":0.2083115949142292,"score_spread":0.2003680650895789,"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."}}