{"id":"W4406033289","doi":"10.1515/cclm-2024-1292","title":"Behind the scenes of EQA–characteristics, capabilities, benefits and assets of external quality assessment (EQA): Part IV – Benefits for participant laboratories","year":2025,"lang":"en","type":"review","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"External quality assessment; Point-of-care testing; Medical physics; Quality assurance; Competence (human resources); Medicine; Medical laboratory; Medical education; Pathology; Psychology","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":[0.009842642,0.0008081229,0.006533688,0.00005458188,0.0002030357,0.0000459445,0.0004131222,0.001081269,0.0001466572],"category_scores_gemma":[0.02841055,0.0005215672,0.0005127116,0.0004440554,0.00217818,0.0001384094,0.0002555644,0.00150703,5.751095e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005801944,"about_ca_system_score_gemma":0.002895739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003843071,"about_ca_topic_score_gemma":0.0000199817,"domain_scores_codex":[0.9907036,0.001172993,0.005702749,0.001145249,0.0007349515,0.0005404013],"domain_scores_gemma":[0.9702162,0.02204839,0.003618323,0.001381517,0.002069909,0.0006656565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002046731,0.00257855,0.03340727,0.284985,0.003084439,0.00003643207,0.0004524486,9.39549e-7,0.000272936,0.005802781,0.003762334,0.6635701],"study_design_scores_gemma":[0.004924347,0.001273495,0.006789119,0.05310636,0.01193544,0.00001168995,0.0006653544,0.00001501561,0.0001200646,0.0001305706,0.9202981,0.0007304252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04203005,0.9482307,0.00001545221,0.001461292,0.0008334357,0.001636896,0.005671198,0.00003625944,0.00008465717],"genre_scores_gemma":[0.008660949,0.9873743,0.0002267179,0.0006934998,0.002060337,0.000256004,0.00041467,0.0000597041,0.0002537863],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9165358,"threshold_uncertainty_score":0.9997236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2586464771837426,"score_gpt":0.4973561399658666,"score_spread":0.2387096627821241,"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."}}