{"id":"W4387081777","doi":"10.1093/clinchem/hvad097.326","title":"A-370 High Rates of Potassium, Chloride and Hemoglobin Discordances in Split Samples Drawn within 1 minute and Analyzed on Point of Care GEM 5000 and Central Laboratory Roche Cobas 8000 and Sysmex Analyzers","year":2023,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Morning; Potassium; Hemoglobin; Medicine; Evening; Mathematics; Statistics; Nuclear medicine; Chemistry; Internal medicine; Physics","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":[0.01134176,0.0002638557,0.0005640467,0.002097626,0.0007069619,0.001318336,0.0005968923,0.0006275396,0.001696435],"category_scores_gemma":[0.02239023,0.0003315643,0.000515068,0.00136856,0.000687139,0.0005277948,0.001019126,0.0005079277,0.0006780308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008044255,"about_ca_system_score_gemma":0.0003865545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003635215,"about_ca_topic_score_gemma":0.002836127,"domain_scores_codex":[0.9835809,0.004812077,0.002016486,0.00225659,0.006754684,0.0005792204],"domain_scores_gemma":[0.9790685,0.009130077,0.00479795,0.002083017,0.004285105,0.0006352022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001016453,0.00006261493,0.9705208,0.00007116452,0.0001228045,0.0006700425,0.00127124,0.0003385552,0.009769611,0.0002303177,0.000925086,0.01500128],"study_design_scores_gemma":[0.00001178579,0.0004232277,0.9825416,0.00002745421,0.00004187641,0.002015712,0.0009077023,0.001627676,0.01040915,0.0001615437,0.001804453,0.00002775443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945835,0.000744933,0.002682662,0.0000733301,0.00004607728,0.00002594798,0.00046441,0.0001023544,0.00127669],"genre_scores_gemma":[0.9971471,0.00006729837,0.001741047,0.00005652291,0.00002627913,0.00001400696,0.0005942675,0.00002424387,0.0003292925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134176,"threshold_uncertainty_score":0.0599817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04092698727483276,"score_gpt":0.369699712068522,"score_spread":0.3287727247936892,"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."}}