{"id":"W2077586445","doi":"10.1016/j.ymeth.2011.08.009","title":"Immunoaffinity purification of peptide hormones prior to liquid chromatography–mass spectrometry in doping controls","year":2011,"lang":"en","type":"review","venue":"Methods","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chromatography; Chemistry; Mass spectrometry; Urine; Peptide; Metabolite; Liquid chromatography–mass spectrometry; Immunoassay; Sample preparation; Antibody; Biochemistry; Biology","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":[0.001074313,0.00114712,0.001338093,0.001440717,0.0002438121,0.0007052429,0.001305198,0.001008236,0.001420914],"category_scores_gemma":[0.0006503419,0.0005449925,0.0004317438,0.001256763,0.0006798497,0.0008648335,0.0006097648,0.001372998,0.002468805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004937514,"about_ca_system_score_gemma":0.0007357445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007294817,"about_ca_topic_score_gemma":0.001224683,"domain_scores_codex":[0.9995583,0.00005528914,0.00003309397,0.00009294958,0.0002209776,0.00003930459],"domain_scores_gemma":[0.9996082,0.0001797281,0.00005714991,0.00002275551,0.0001066572,0.00002544979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001893767,0.0002517102,0.0004394352,0.007152327,0.0001223564,0.0003310735,0.00003942087,0.0005918876,0.06066701,0.00375074,0.008043403,0.9184213],"study_design_scores_gemma":[0.00007248204,0.0004721989,0.005489566,0.001473805,0.0002812131,0.003567711,0.00006772157,0.001182104,0.1295627,0.004532822,0.8531762,0.0001213655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.002277438,0.9852148,0.008979045,0.0002677141,0.0004528898,0.00003122267,0.0000474364,0.00006016835,0.002669249],"genre_scores_gemma":[0.01154053,0.9745548,0.007336787,0.0005156753,0.0005091502,0.00005271516,0.000161516,0.00001898816,0.005309843],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001440717,"threshold_uncertainty_score":0.005681574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06101907338504577,"score_gpt":0.3917130535094019,"score_spread":0.3306939801243562,"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."}}