{"id":"W2167418483","doi":"10.1002/dta.1494","title":"Desialylation improves the detection of recombinant erythropoietins in urine samples analyzed by SDS‐PAGE","year":2013,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Neuraminidase; Erythropoietin; Isoelectric focusing; Sialic acid; Urine; Recombinant DNA; Chemistry; Sialidase; Chromatography; Biochemistry; Enzyme; Medicine; Internal medicine; Gene","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":[0.0003114195,0.0001354782,0.0003672761,0.0002139643,0.000120343,0.0000270701,0.00004416607,0.00004377587,0.00005525521],"category_scores_gemma":[0.000359845,0.00008554772,0.0001208585,0.00108546,0.0001029315,0.00005592622,0.00002543034,0.0001148145,0.000003236628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003952133,"about_ca_system_score_gemma":0.00001555687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019586,"about_ca_topic_score_gemma":0.0003096302,"domain_scores_codex":[0.999005,0.00007818377,0.000356865,0.0002413365,0.0001492599,0.0001693744],"domain_scores_gemma":[0.9991139,0.0003634322,0.0001780549,0.0001822632,0.0001012158,0.0000611345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000027217,0.0004581046,0.6257581,0.0001267323,0.0006002883,0.000006760162,0.0007434138,0.00005522422,0.2870278,0.000007817812,0.0002311995,0.08495736],"study_design_scores_gemma":[0.001682005,0.0002522361,0.9280165,0.0001609993,0.002706222,0.00001978257,0.001926368,0.03928696,0.025368,0.0002906395,0.00007173431,0.0002185639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973829,0.0006068556,0.0002819742,0.001223398,0.0000209959,0.0002020084,0.000002853079,0.00003564047,0.0002433269],"genre_scores_gemma":[0.9970034,0.0001942426,0.002190743,0.00003775876,0.00002573207,0.00002462425,0.00003322723,0.000009941235,0.0004803564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3022584,"threshold_uncertainty_score":0.9963953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592302247405842,"score_gpt":0.2481860906172242,"score_spread":0.2322630681431658,"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."}}