{"id":"W2041807166","doi":"10.1016/j.clinbiochem.2010.04.011","title":"Siemens dimension Vista® 1500 Intelligent Lab System and BD Vacutainer Rapid Serum Tube — improvements in laboratory turnaround time metrics","year":2010,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fraser Health","funders":"","keywords":"Vacutainer; Siemens; Turnaround time; Operating system; Computer science; Medicine; Engineering; Surgery","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":[0.007813911,0.001231231,0.00114547,0.002409669,0.000396946,0.001902629,0.00213835,0.001417885,0.008368851],"category_scores_gemma":[0.01527997,0.001177372,0.0005327346,0.001758542,0.0004084471,0.002375849,0.0009126251,0.001468115,0.003516508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074732,"about_ca_system_score_gemma":0.001759203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004117648,"about_ca_topic_score_gemma":0.004754101,"domain_scores_codex":[0.9925165,0.002413296,0.0007709939,0.001197611,0.0029011,0.0002005946],"domain_scores_gemma":[0.9898227,0.00349731,0.0009335997,0.001036893,0.004312712,0.0003967827],"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":[0.008830326,0.0009783672,0.03485338,0.000585272,0.0002228408,0.0001443583,0.000328161,0.002215325,0.1338131,0.001564803,0.03173105,0.7847331],"study_design_scores_gemma":[0.002268207,0.01032566,0.2294867,0.0003978899,0.001772821,0.008311673,0.0004738458,0.1675395,0.4539315,0.002227696,0.1226843,0.0005801241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3369589,0.01914429,0.5726871,0.006009228,0.002299414,0.001202804,0.004174365,0.03866205,0.0188619],"genre_scores_gemma":[0.342974,0.002586367,0.6316548,0.001589477,0.0007657387,0.0003770144,0.00375021,0.002543027,0.01375936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008368851,"threshold_uncertainty_score":0.04132444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00706465993105599,"score_gpt":0.2448383314923867,"score_spread":0.2377736715613307,"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."}}