{"id":"W2265876391","doi":"10.1136/bmjqs-2015-ihiabstracts.8","title":"TRANSFORMING A CANADIAN MICROBIOLOGY LABORATORY: LABORATORY AUTOMATION AND LEAN PROCESSES REDUCE ERRORS, IMPROVE STANDARDIZATION AND RESULT QUALITY WHILE IMPROVING PRODUCTIVITY","year":2015,"lang":"en","type":"article","venue":"BMJ Quality & Safety","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standardization; Productivity; Automation; Medicine; Quality (philosophy); Quality assurance; Quality management; Laboratory automation; Clinical microbiology; Engineering management; Manufacturing engineering; Operations management; Biotechnology; Engineering; Computer science; Microbiology; External quality assessment; Pathology; Mechanical engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007829064,0.001249989,0.0005463408,0.002608167,0.006570147,0.009175309,0.002408523,0.00192092,0.007917132],"category_scores_gemma":[0.01389364,0.0005819377,0.0008445028,0.003684954,0.00406959,0.002729684,0.003971628,0.002259335,0.001933265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06905848,"about_ca_system_score_gemma":0.2010552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9080446,"about_ca_topic_score_gemma":0.9409806,"domain_scores_codex":[0.9780147,0.003630171,0.0007179693,0.001588226,0.01414733,0.001901616],"domain_scores_gemma":[0.9828708,0.001511422,0.001115808,0.0007638623,0.01175165,0.001986458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005982359,0.0005040347,0.04224928,0.002720161,0.0002084951,0.0006677503,0.004332051,0.006831307,0.03153612,0.0448333,0.1199435,0.7455758],"study_design_scores_gemma":[0.0001908626,0.000763269,0.1109619,0.001991978,0.0002865025,0.001042639,0.007592855,0.0165364,0.03389345,0.01619165,0.809947,0.0006015183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.213732,0.03522147,0.2096003,0.2200848,0.004238708,0.003003561,0.005029895,0.00796433,0.3011248],"genre_scores_gemma":[0.5301951,0.01823276,0.3724994,0.02230664,0.0006081675,0.0005214405,0.00302678,0.0007259582,0.0518839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9080446,"threshold_uncertainty_score":0.5010567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06748886588764726,"score_gpt":0.386535950588728,"score_spread":0.3190470847010808,"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."}}