{"id":"W4220941991","doi":"10.1002/dta.3249","title":"Detection of insulin analogues and large peptides >2 kDa in urine","year":2022,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chromatography; Detection limit; Chemistry; Urine; Insulin; Solid phase extraction; Extraction (chemistry); Peptide; Ion suppression in liquid chromatography–mass spectrometry; Elution; Tandem mass spectrometry; Mass spectrometry; Biochemistry; Endocrinology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659118,0.00006148557,0.0001493248,0.0001382707,0.0001429697,0.000008299009,0.00005092043,0.00001565051,0.00002003188],"category_scores_gemma":[0.0000845047,0.00006558586,0.00003261567,0.0007028054,0.000023482,0.00002566837,0.0001002589,0.0001177866,8.599091e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001720885,"about_ca_system_score_gemma":0.000005143012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003644105,"about_ca_topic_score_gemma":0.0001271644,"domain_scores_codex":[0.9994944,0.00001259374,0.0001702052,0.000171394,0.00006329522,0.00008809891],"domain_scores_gemma":[0.9996315,0.0001012508,0.000103848,0.0001165957,0.00002341752,0.00002333457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001544649,0.0001661497,0.5995168,0.0001004412,0.0001298584,0.000004484988,0.0004777884,0.001846252,0.3547827,0.0002874016,0.000007131554,0.04266549],"study_design_scores_gemma":[0.001855756,0.0001167821,0.08884877,0.0001161332,0.001313352,0.00003616224,0.004381197,0.445214,0.4271431,0.02570526,0.004176585,0.001092926],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966614,0.000303912,0.002495174,0.00003743519,0.00000123311,0.00002810357,0.00004970542,0.00004721447,0.0003758323],"genre_scores_gemma":[0.9911277,0.0000558897,0.008606995,0.000009536795,0.000009601674,0.0000517866,0.00002865064,0.000005526968,0.0001043705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.510668,"threshold_uncertainty_score":0.2674514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163322297412958,"score_gpt":0.2515062152642365,"score_spread":0.2398729922901069,"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."}}