{"id":"W2054888532","doi":"10.1002/rcm.4237","title":"High‐throughput ultra‐high‐performance liquid chromatography/tandem mass spectrometry quantitation of insulin‐like growth factor‐I and leucine‐rich α‐2‐glycoprotein in serum as biomarkers of recombinant human growth hormone administration","year":2009,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk; World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Selected reaction monitoring; Liquid chromatography–mass spectrometry; Biomarker; Insulin-like growth factor; Mass spectrometry; Glycoprotein; Leucine; Tandem mass spectrometry; Recombinant DNA; Acromegaly; Growth factor; Growth hormone; Hormone; Receptor; 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":[0.001323753,0.0008586154,0.0007575543,0.0008083635,0.0002579388,0.0007190926,0.000483984,0.000660875,0.0004313048],"category_scores_gemma":[0.001254736,0.0003016879,0.0005344523,0.000658609,0.0003603507,0.0004050688,0.000414787,0.0008037343,0.000491388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005054511,"about_ca_system_score_gemma":0.0004775799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202452,"about_ca_topic_score_gemma":0.002763302,"domain_scores_codex":[0.998844,0.000296827,0.00006391088,0.0002262879,0.0004988569,0.00006997622],"domain_scores_gemma":[0.9995369,0.0001861248,0.00008602685,0.00003436202,0.0001291242,0.00002747387],"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":[0.001510387,0.0005484686,0.01445404,0.0002119113,0.0002675555,0.000195097,0.0001001667,0.005228523,0.9236734,0.0002910007,0.000932353,0.052587],"study_design_scores_gemma":[0.000113998,0.0008448153,0.04856529,0.00003382647,0.0001957521,0.0007983187,0.00005821026,0.2105598,0.7351706,0.0005218641,0.003017515,0.0001199708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7653331,0.007329151,0.2165287,0.0004240828,0.0002347419,0.0004604873,0.002352609,0.003555095,0.003782131],"genre_scores_gemma":[0.86206,0.002464156,0.1292884,0.0007103781,0.00009164579,0.0006739841,0.001430805,0.0000954569,0.003185334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002202452,"threshold_uncertainty_score":0.007000804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982351330494356,"score_gpt":0.2795034705297335,"score_spread":0.2596799572247899,"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."}}