{"id":"W2031462738","doi":"10.1002/jms.1453","title":"Mass spectrometric determination of gonadotrophin‐releasing hormone (GnRH) in human urine for doping control purposes by means of LC–ESI‐MS/MS","year":2008,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Mass spectrometry; Orbitrap; Luteinizing hormone; Urine; High-performance liquid chromatography; Detection limit; Solid phase extraction; Extraction (chemistry); Ion suppression in liquid chromatography–mass spectrometry; Hypothalamus; Hormone; Liquid chromatography–mass spectrometry; Endocrinology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411622,0.001336887,0.000702074,0.003251276,0.00112986,0.0005958723,0.0006618737,0.001322157,0.002110047],"category_scores_gemma":[0.002482986,0.0004292987,0.0005357527,0.001240993,0.0006480421,0.0003976933,0.0007310479,0.0007320676,0.0009815155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025543,"about_ca_system_score_gemma":0.001396929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009300404,"about_ca_topic_score_gemma":0.001647059,"domain_scores_codex":[0.9975563,0.0004547983,0.0001778129,0.0006100218,0.001080039,0.0001210074],"domain_scores_gemma":[0.9990439,0.0002176845,0.0002097422,0.00006563521,0.0003808773,0.00008212613],"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":[0.0006161928,0.0003220103,0.01084826,0.00103399,0.0002887404,0.0008800087,0.0002473362,0.0003941607,0.9381704,0.0005410009,0.001577418,0.04508034],"study_design_scores_gemma":[0.0001583484,0.001960151,0.04555212,0.0004024478,0.0004774084,0.009186057,0.0003028377,0.01062908,0.9094676,0.0008410633,0.02079574,0.0002272345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6922736,0.03096892,0.2388801,0.001234196,0.0018459,0.001834666,0.01091876,0.005045988,0.01699786],"genre_scores_gemma":[0.7988282,0.00930777,0.1759396,0.002535103,0.0004085565,0.001829621,0.003297895,0.0003580529,0.007495294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003251276,"threshold_uncertainty_score":0.007465422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798068955281152,"score_gpt":0.2718882684302888,"score_spread":0.2539075788774773,"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."}}