{"id":"W3007341392","doi":"10.1016/j.jchromb.2020.122026","title":"Validation of an ultra-sensitive detection method for steroid esters in plasma for doping analysis using positive chemical ionization GC-MS/MS","year":2020,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Detection limit; Steroid; Mass spectrometry; Nandrolone; Gas chromatography–mass spectrometry; Testosterone (patch); Urine; Chemical ionization; High-performance liquid chromatography; Gas chromatography; Quantitative analysis (chemistry); Epitestosterone; Ionization; Endocrinology; Ion; Hormone; Biochemistry","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":[0.0003918601,0.0001175992,0.0005532582,0.0005162664,0.00005460469,0.00001027723,0.00003495724,0.00006465388,7.662522e-7],"category_scores_gemma":[0.0002149148,0.00009536053,0.0004937727,0.000950853,0.00005063523,0.000207605,0.000005589527,0.0001061847,3.417566e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005279279,"about_ca_system_score_gemma":0.00003564014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001552794,"about_ca_topic_score_gemma":0.000004874815,"domain_scores_codex":[0.9988607,0.00008214047,0.0005261382,0.0001935868,0.000214638,0.0001228258],"domain_scores_gemma":[0.9985245,0.0001502301,0.0004892719,0.00005973926,0.0006959629,0.00008033458],"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":[0.001729587,0.0001190827,0.006528557,0.0001589298,0.001709246,0.000004987666,0.002612927,0.002080004,0.9833906,0.000007934083,0.00000224733,0.001655899],"study_design_scores_gemma":[0.001807159,0.00107642,0.02482566,0.0001353815,0.001798627,0.00005846833,0.001803347,0.01819919,0.9501399,0.00005768086,0.000003950611,0.00009416699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7568014,0.00005524965,0.2425357,0.000222966,0.00004716079,0.0003052144,0.00001432891,0.000006739936,0.00001131083],"genre_scores_gemma":[0.9519538,0.00001503084,0.04769531,0.00004372397,0.0002562074,0.000004813523,0.00001862342,0.00001219607,3.416443e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1951524,"threshold_uncertainty_score":0.3888689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571440388549297,"score_gpt":0.311765298352998,"score_spread":0.2860508944675051,"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."}}