{"id":"W4406034038","doi":"10.1515/cclm-2024-1290","title":"Behind the scenes of EQA – characteristics, capabilities, benefits and assets of external quality assessment (EQA): Part II – EQA cycles","year":2025,"lang":"en","type":"review","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"External quality assessment; Medical physics; Quality assurance; Sample (material); Medicine; Operations management; Engineering; Pathology","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":[0.009222222,0.0007629762,0.006139555,0.0000566232,0.0002169821,0.00003044896,0.0004507472,0.00111684,0.0003832532],"category_scores_gemma":[0.01820224,0.0004848849,0.0005237442,0.0003506975,0.002587101,0.0001166492,0.0004144856,0.002132659,9.524183e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006259963,"about_ca_system_score_gemma":0.002167319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005618825,"about_ca_topic_score_gemma":0.00001145767,"domain_scores_codex":[0.9908464,0.001463224,0.005341089,0.001097049,0.0008190527,0.0004331918],"domain_scores_gemma":[0.9784725,0.01492789,0.003476939,0.001452177,0.001049351,0.0006211837],"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":[0.0008381032,0.002307802,0.02940678,0.1703463,0.001813633,0.00006650644,0.0002551226,1.834133e-7,0.0002411985,0.001267501,0.003187217,0.7902696],"study_design_scores_gemma":[0.00360167,0.000903354,0.0127251,0.0544326,0.006831967,0.00002270548,0.0003693705,0.000007183588,0.00005469386,0.00009045087,0.9203625,0.0005984598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06617706,0.9279597,0.00000552911,0.001750805,0.0006795633,0.0009695915,0.001991444,0.00003497864,0.0004313367],"genre_scores_gemma":[0.009257962,0.9868237,0.0001088477,0.000811844,0.002005813,0.00006989942,0.0003119378,0.0000463898,0.0005635628],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9171752,"threshold_uncertainty_score":0.9997603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1604858151242481,"score_gpt":0.485240308423046,"score_spread":0.3247544932987979,"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."}}