{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001685677,0.0005866836,0.002423283,0.001074827,0.00007861375,0.00004026451,0.001076298,0.000587034,0.001442071],"category_scores_gemma":[0.0003547349,0.0005497487,0.0007994318,0.002112268,0.00008364582,0.0000755967,0.0001727394,0.0007699354,0.0000214189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329068,"about_ca_system_score_gemma":0.0001525881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001512865,"about_ca_topic_score_gemma":0.000005341543,"domain_scores_codex":[0.9965832,0.0003573963,0.001564657,0.0007693843,0.0002219911,0.0005033594],"domain_scores_gemma":[0.9965414,0.000612671,0.001029358,0.001573225,0.00009973756,0.0001436417],"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":[0.00005252839,0.0003608025,0.00003309774,0.01526437,0.0002968106,0.00000371303,0.00009954704,2.536083e-7,0.06362545,0.01571199,0.00009832724,0.9044531],"study_design_scores_gemma":[0.0002381079,0.0001462568,0.00005903757,0.005573827,0.0004676305,0.00002003257,0.0000395489,0.000004326015,0.03950264,0.001572777,0.9515588,0.0008170699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000112255,0.9235229,0.04776599,0.00001893547,0.00005186759,0.00102158,0.00009306867,0.0002303855,0.02718295],"genre_scores_gemma":[0.00008903982,0.6071686,0.3914954,0.000006688275,0.00007698408,0.0009039705,0.00005576944,0.00006545059,0.0001381449],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9514604,"threshold_uncertainty_score":0.9996954,"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."}}