{"id":"W2054599893","doi":"10.1002/dta.221","title":"High sensitive analysis of steroids in doping control using gas chromatography/time‐of‐flight mass‐spectrometry","year":2010,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Chromatography; BSTFA; Gas chromatography; Silylation; Mass spectrometry; Reagent; Gas chromatography–mass spectrometry; Time-of-flight mass spectrometry; Analytical Chemistry (journal); Volume (thermodynamics); Solvent; Mass spectrum; Trimethylsilyl; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003959996,0.0002955814,0.001305629,0.001494103,0.0001008788,0.00003829387,0.0001919544,0.0001716215,0.0002587036],"category_scores_gemma":[0.0003021189,0.0002858353,0.0007463152,0.008166259,0.0003039667,0.00008369004,0.00004804882,0.0003722225,5.595589e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001868853,"about_ca_system_score_gemma":0.00002940981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007310814,"about_ca_topic_score_gemma":0.00006127973,"domain_scores_codex":[0.9979495,0.00004695668,0.0007852712,0.0005189772,0.0003332063,0.0003661108],"domain_scores_gemma":[0.9978294,0.0008517914,0.0005110116,0.0004570675,0.0001995506,0.0001511852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001172873,0.0000683735,0.445814,0.00009020976,0.004616751,0.0000143413,0.00008489488,0.001276903,0.5479186,0.00002805356,9.225772e-7,0.00007520468],"study_design_scores_gemma":[0.001088749,0.00001847356,0.06503017,0.0001923152,0.02785739,0.000009538077,0.0007029491,0.4544416,0.4497162,0.0003207551,0.00000163548,0.0006203059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997192,0.0001069704,0.001485087,0.0000238098,0.000009293135,0.0000285267,0.0001160709,0.00005079519,0.0009873955],"genre_scores_gemma":[0.9924262,0.000008566575,0.007414394,0.00001189592,0.00004388786,0.00000222218,0.0000500157,0.00001641681,0.00002644197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4531647,"threshold_uncertainty_score":0.9999594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006506873075890865,"score_gpt":0.2214827212804914,"score_spread":0.2149758482046005,"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."}}