{"id":"W4394840203","doi":"10.1016/j.clinbiochem.2024.110764","title":"Primer Part 1 − Preparing a laboratory quality improvement project","year":2024,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York Central Hospital; University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Quality management; Quality assurance; Quality (philosophy); Medical laboratory; Stakeholder; Stakeholder engagement; Process (computing); Computer science; Identification (biology); Process management; Health care; Medicine; Operations management; Business; Engineering; Management system; External quality assessment; Nursing","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":[0.01338394,0.001929229,0.0006062225,0.001718663,0.002505348,0.006297874,0.002954229,0.006038177,0.07501243],"category_scores_gemma":[0.02840736,0.00151535,0.0007641533,0.001145631,0.001805758,0.004618102,0.006581851,0.005372701,0.05205681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002974969,"about_ca_system_score_gemma":0.01041736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006503124,"about_ca_topic_score_gemma":0.001376922,"domain_scores_codex":[0.9898419,0.005036476,0.0009695256,0.0008901425,0.002721688,0.0005403592],"domain_scores_gemma":[0.9800827,0.009343781,0.001689112,0.001457432,0.004695309,0.002731641],"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":[0.0001043147,0.0005136329,0.0009743317,0.001560632,0.00001007658,0.000640631,0.003813586,0.001347497,0.004096091,0.05494254,0.5936971,0.3382996],"study_design_scores_gemma":[0.00001259942,0.0002624276,0.0003328456,0.0005970572,0.000003222182,0.0004969654,0.0006174211,0.0002494301,0.001492979,0.007013601,0.9888953,0.00002620946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008665926,0.008935175,0.474884,0.08407031,0.04141828,0.03202381,0.005695942,0.01444332,0.3298633],"genre_scores_gemma":[0.01959099,0.008643731,0.6621163,0.05458784,0.004180328,0.01667534,0.005950567,0.002901432,0.2253534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07501243,"threshold_uncertainty_score":0.2509416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025524986717532,"score_gpt":0.4870394664280466,"score_spread":0.3844869677562933,"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."}}