{"id":"W1992752703","doi":"10.1016/j.diagmicrobio.2010.09.013","title":"UF-1000i™ flow cytometry is an effective screening method for urine specimens","year":2011,"lang":"en","type":"article","venue":"Diagnostic Microbiology and Infectious Disease","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Boniface Hospital; University of Manitoba","funders":"","keywords":"Urine; Flow cytometry; Bacteria; Microbiology; White blood cell; Chromatography; Medicine; Biology; Internal medicine; Immunology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003327979,0.0001976665,0.0001948591,0.00007689956,0.0002095315,0.0000279143,0.0001057206,0.0001667907,0.0001838681],"category_scores_gemma":[0.001556797,0.0001959046,0.0001026903,0.00007999338,0.0001239126,0.00001225093,0.00008700368,0.00008489218,0.00001120844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000110572,"about_ca_system_score_gemma":0.00003078868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004216292,"about_ca_topic_score_gemma":0.00004411519,"domain_scores_codex":[0.9987057,0.0002056674,0.0002187191,0.0005819508,0.00002120485,0.000266686],"domain_scores_gemma":[0.9989668,0.0002665171,0.00009007151,0.0003257226,0.0001361577,0.0002147557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000464806,0.0005231,0.1212725,0.00009370722,0.0001854842,0.000007234414,0.0003362015,0.000007796847,0.8596356,0.000234283,0.001643022,0.01559625],"study_design_scores_gemma":[0.003714922,0.002315734,0.7149542,0.00007166476,0.0004546889,0.0001329918,0.0001448899,0.0007779228,0.2593359,0.001524934,0.01547808,0.001094056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385165,0.0003877855,0.05937197,0.00005111072,0.0003008574,0.0007282661,0.0003848453,0.00005044941,0.0002082075],"genre_scores_gemma":[0.9903049,0.00006479206,0.007326778,0.0009729525,0.0002528719,0.0001558569,0.0007864275,0.0000253462,0.0001101174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6002997,"threshold_uncertainty_score":0.7988757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685488025772579,"score_gpt":0.2749960085628189,"score_spread":0.2581411283050931,"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."}}