{"id":"W3090846848","doi":"10.1093/jalm/jfaa111","title":"Improved Sample Quality and Decreased Turnaround Time When Using Plasma Blood Collection Tubes with a Mechanical Separator in a Large University Hospital","year":2020,"lang":"en","type":"article","venue":"The Journal of Applied Laboratory Medicine","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Centrifugation; Turnaround time; Chromatography; Hemolysis; Chemistry; Biomedical engineering; Medicine; Internal medicine; Operations management; Engineering","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":[0.003777635,0.000544144,0.0004717017,0.000594372,0.0005279117,0.001298249,0.0009277995,0.0004311072,0.002323662],"category_scores_gemma":[0.008131559,0.0003323668,0.0003273065,0.000843487,0.0006706844,0.000500962,0.000844943,0.0005852283,0.0007171548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558758,"about_ca_system_score_gemma":0.00239193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002568168,"about_ca_topic_score_gemma":0.003228084,"domain_scores_codex":[0.9955194,0.001702692,0.0003622586,0.0008002995,0.001253343,0.0003618901],"domain_scores_gemma":[0.9942094,0.001324183,0.001720426,0.0006399498,0.001408473,0.0006975943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01057377,0.001527225,0.6192575,0.0007789148,0.0002578701,0.001819756,0.001937416,0.001884472,0.112229,0.0004151713,0.004727169,0.2445917],"study_design_scores_gemma":[0.000445799,0.01248156,0.8499568,0.0002246713,0.0004957453,0.004728723,0.001578394,0.007441539,0.111268,0.0003434471,0.01088183,0.0001535451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990815,0.0008874258,0.006110326,0.0005020561,0.00008862535,0.0001753203,0.0002061427,0.0004435944,0.000771363],"genre_scores_gemma":[0.9837059,0.0002565255,0.01463693,0.0003235656,0.00009519502,0.00008951413,0.0002890687,0.00006027126,0.0005430951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003777635,"threshold_uncertainty_score":0.01997828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207165008682784,"score_gpt":0.301063478426232,"score_spread":0.2689918283394042,"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."}}