{"id":"W3005606118","doi":"10.1016/j.steroids.2020.108603","title":"Detection and quantitation of ecdysterone in human serum by liquid chromatography coupled to tandem mass spectrometry","year":2020,"lang":"en","type":"article","venue":"Steroids","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Ecdysterone; Chromatography; Chemistry; Protein precipitation; Selected reaction monitoring; Solid phase extraction; Tandem mass spectrometry; Mass spectrometry; Electrospray ionization; Extraction (chemistry); Detection limit; Liquid chromatography–mass spectrometry; Electrospray; 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":[0.0001064574,0.00009662954,0.0002284244,0.0001529641,0.00003468657,0.00002279336,0.00005781318,0.0000811997,0.000008414448],"category_scores_gemma":[0.00002026071,0.00009632072,0.0000451267,0.0004972204,0.00003610516,0.00005538387,0.00002170627,0.00009412198,0.00000147909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002437423,"about_ca_system_score_gemma":0.000001377971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007855857,"about_ca_topic_score_gemma":0.00006409097,"domain_scores_codex":[0.9992274,0.00004218972,0.000258397,0.0002146499,0.0001292605,0.0001280857],"domain_scores_gemma":[0.9997189,0.00001577205,0.00007281671,0.00009747328,0.00002940705,0.00006560417],"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":[0.0001061518,0.00002072511,0.002947698,0.00003872407,0.00001215129,5.739332e-7,0.0002927269,6.981145e-7,0.996103,0.00001299351,0.0001518209,0.000312731],"study_design_scores_gemma":[0.0003013714,0.001083878,0.005341482,0.00005056053,0.00002383197,8.152862e-7,0.0001167723,0.001290844,0.9914365,0.0001944563,0.00004174261,0.000117714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904819,0.0001358546,0.008000609,0.001105151,0.00002906266,0.000126007,0.000005177945,0.0000709611,0.00004523539],"genre_scores_gemma":[0.9977983,0.000005065218,0.001840782,0.0003042204,0.00002688595,0.000001687556,0.000007689405,0.00001235133,0.0000030134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007316364,"threshold_uncertainty_score":0.3927845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306714280550574,"score_gpt":0.2567286140217312,"score_spread":0.2436614712162254,"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."}}