{"id":"W4394743805","doi":"10.1016/j.clinbiochem.2024.110763","title":"New solutions to old problems: A practical approach to identify samples with intravenous fluid contamination in clinical laboratories","year":2024,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Manitoba Health; Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"Flagging; Contamination; Medicine; Tertiary care; Clinical microbiology; Transferability; Predictive value; Retrospective cohort study; Emergency medicine; Surgery; Internal medicine; Mathematics; Statistics; Microbiology","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005142368,0.0003212517,0.0009538125,0.0001026137,0.00008301204,0.0002513019,0.0002185991,0.000631913,0.0001014667],"category_scores_gemma":[0.02247264,0.0002611062,0.0002393684,0.001226962,0.0002213694,0.0002269176,0.0001685673,0.001534002,0.0002421539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505169,"about_ca_system_score_gemma":0.002180546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009515347,"about_ca_topic_score_gemma":0.00008091639,"domain_scores_codex":[0.9950293,0.0003845611,0.00218966,0.001290184,0.0005469488,0.0005592981],"domain_scores_gemma":[0.9928849,0.004307169,0.0002051737,0.000828235,0.0004782372,0.001296283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02069475,0.02964952,0.2286746,0.006352694,0.003730025,0.00201024,0.003273717,0.0001167424,0.05039004,0.05890148,0.313893,0.2823132],"study_design_scores_gemma":[0.01360619,0.009655871,0.2266973,0.004368054,0.002195845,0.0003409366,0.002913566,0.001715189,0.004217596,0.001121997,0.730923,0.002244452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035792,0.001157451,0.03295143,0.05627841,0.00102197,0.002155704,0.0001716437,0.000388464,0.002295721],"genre_scores_gemma":[0.9626928,0.0001800081,0.02676955,0.006573973,0.002224026,0.0001343957,0.0001360886,0.00006062532,0.001228528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4170299,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1297659018841145,"score_gpt":0.4617785561039356,"score_spread":0.3320126542198211,"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."}}