{"id":"W2275461098","doi":"10.1007/s00216-016-9377-3","title":"Qualitative identification of growth hormone-releasing hormones in human plasma by means of immunoaffinity purification and LC-HRMS/MS","year":2016,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency; Partnership for Clean Competition","keywords":"Chromatography; Chemistry; Hormone; Human growth hormone; Growth hormone; 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":[0.0004543209,0.0006854215,0.0003816789,0.0007298322,0.0003357026,0.0003152409,0.0004048671,0.0005387646,0.001148581],"category_scores_gemma":[0.0004848345,0.0001987489,0.0003580133,0.0003336927,0.0002795807,0.000237796,0.0003468665,0.0004267687,0.0008254982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002227336,"about_ca_system_score_gemma":0.0004914068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005026768,"about_ca_topic_score_gemma":0.0008391149,"domain_scores_codex":[0.9994854,0.00009072028,0.00002881505,0.0001515213,0.0001932653,0.00005025281],"domain_scores_gemma":[0.9998407,0.00004249447,0.00004205696,0.00001544008,0.00004606147,0.00001319638],"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":[0.0002262463,0.00005831975,0.001346811,0.0002412878,0.00004835412,0.000183001,0.00004397473,0.0001048764,0.9808577,0.000127652,0.0002411176,0.01652054],"study_design_scores_gemma":[0.00003581828,0.0005564156,0.0127413,0.00003236118,0.00009319341,0.002171533,0.00007327416,0.003019544,0.9745291,0.0002410832,0.006469504,0.00003692994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7280904,0.01712909,0.2390717,0.0006431781,0.0003217878,0.0008204873,0.003539783,0.002105062,0.008278497],"genre_scores_gemma":[0.8304092,0.005782491,0.155159,0.001228787,0.0001232404,0.0005910666,0.001858943,0.0001063774,0.004740961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001148581,"threshold_uncertainty_score":0.003842413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342319447183866,"score_gpt":0.284301935837881,"score_spread":0.2708787413660424,"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."}}