{"id":"W2033047892","doi":"10.1002/rcm.2774","title":"Determination of Synacthen in human plasma using immunoaffinity purification and liquid chromatography/tandem mass spectrometry","year":2006,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Orbitrap; Analyte; Mass spectrometry; Electrospray ionization; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Detection limit; Extraction (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":[],"consensus_categories":[],"category_scores_codex":[0.0007892884,0.0002195588,0.0005497821,0.001666991,0.000207053,0.00001999406,0.0003596762,0.0001348543,0.00002691439],"category_scores_gemma":[0.0001353146,0.0002174366,0.0001054556,0.002111613,0.0004672518,0.0001703346,0.0001520629,0.0004803268,0.000001734589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316313,"about_ca_system_score_gemma":0.0000538669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003124152,"about_ca_topic_score_gemma":0.000123573,"domain_scores_codex":[0.9980868,0.000226744,0.0007399737,0.0003720852,0.0002835068,0.0002909566],"domain_scores_gemma":[0.9980707,0.000209109,0.0003055726,0.001235933,0.000137395,0.00004124509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008634287,0.0007168353,0.168471,0.0001020907,0.00006562147,0.000005022317,0.0002676371,0.000007656627,0.8237788,0.005838995,0.000005054992,0.0006549818],"study_design_scores_gemma":[0.001560974,0.0005038102,0.9211859,0.0002428489,0.00009748376,0.00004445575,0.00128454,0.001581589,0.06718572,0.005940509,0.00006951404,0.0003026928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842183,0.005940193,0.001175475,0.0005206517,0.00003420411,0.0004779511,0.00000871628,0.00004680481,0.007577684],"genre_scores_gemma":[0.9396352,0.001942325,0.05821966,0.000006500329,0.00005664627,0.00003663437,0.00004772709,0.00002448694,0.00003086746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.756593,"threshold_uncertainty_score":0.8866806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090396151562911,"score_gpt":0.3037941122576556,"score_spread":0.2728901507420264,"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."}}