{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01442043,0.000349593,0.0008764648,0.0001356672,0.0003716302,0.0001117723,0.0001065186,0.0003850645,0.00001428674],"category_scores_gemma":[0.01805085,0.0003238929,0.00005598239,0.0006767357,0.0003279464,0.0009525971,0.00005467232,0.0005386788,0.000005187814],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683365,"about_ca_system_score_gemma":0.00692809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01790587,"about_ca_topic_score_gemma":0.06760331,"domain_scores_codex":[0.9952458,0.001264562,0.001674487,0.00090947,0.0003723566,0.0005333731],"domain_scores_gemma":[0.9948867,0.0007559799,0.0007404559,0.0005814973,0.00219345,0.0008418984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02237241,0.001486598,0.1134556,0.01282719,0.000992263,0.0001038541,0.03018316,0.00005080541,0.7110206,0.01253715,0.005388113,0.08958227],"study_design_scores_gemma":[0.0404073,0.004001841,0.1314082,0.001355713,0.001758759,0.0001533673,0.03752918,0.0009556864,0.0611703,0.001556789,0.7149806,0.004722279],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680408,0.001218223,0.001523129,0.02269392,0.0003680685,0.002358071,0.003282263,0.0002117163,0.0003038487],"genre_scores_gemma":[0.9964076,0.0001094706,0.001072594,0.001416358,0.0004459381,0.00006152906,0.0003566131,0.00004067969,0.0000892762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7095925,"threshold_uncertainty_score":0.9999213,"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."}}