{"id":"W2017125315","doi":"10.1016/j.clinbiochem.2012.06.029","title":"Validating urinary measurement of beta-2-microglobulin with a Roche reagent kit designed for serum measurements","year":2012,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Creatinine; Beta-2 microglobulin; Urine; Urinary system; Detection limit; Urology; Chemistry; Chromatography; Medicine; Internal medicine","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":[0.001957393,0.0002435312,0.0005688641,0.00002462267,0.00006374779,0.0000100948,0.000149774,0.0002103277,0.0001478253],"category_scores_gemma":[0.001531368,0.0001923612,0.0003466578,0.0001134156,0.0001502089,0.00005217249,0.00007176078,0.0001763824,0.00001528877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815926,"about_ca_system_score_gemma":0.0006393144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002318696,"about_ca_topic_score_gemma":1.625356e-7,"domain_scores_codex":[0.9975868,0.00005945097,0.0008228378,0.0004138379,0.0006158415,0.0005012153],"domain_scores_gemma":[0.9977946,0.000188556,0.0003186935,0.0005861109,0.0004302588,0.0006817239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001314171,0.003570997,0.4009608,0.001803811,0.0008973201,0.000005721703,0.00004556938,7.520994e-7,0.5801497,0.0000041602,0.007040043,0.004206982],"study_design_scores_gemma":[0.004980489,0.0007754315,0.01951688,0.0006975702,0.001026779,0.00001313549,0.0001071664,0.00001074074,0.9715268,0.00001149196,0.001095568,0.00023796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942118,0.002879399,0.0003955017,0.0004464341,0.0001137444,0.0006756054,0.0000630661,0.00005526537,0.001159209],"genre_scores_gemma":[0.992628,0.00002232434,0.005907726,0.0004715683,0.0005657893,0.00007773555,0.00009314011,0.00003507224,0.0001986023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3913771,"threshold_uncertainty_score":0.7844264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1484385598832809,"score_gpt":0.3715267588489004,"score_spread":0.2230881989656195,"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."}}