{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001036301,0.0005875074,0.001295405,0.00333364,0.0002208237,0.00004412928,0.0008831928,0.0004610186,0.00006327879],"category_scores_gemma":[0.0003513455,0.0006088878,0.0002032642,0.005618714,0.0004871051,0.0007177677,0.0001081226,0.0009967919,0.000007344411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863742,"about_ca_system_score_gemma":0.0002415377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006046221,"about_ca_topic_score_gemma":0.00006422978,"domain_scores_codex":[0.9954216,0.0003882209,0.002033703,0.0007247221,0.0007449114,0.0006867974],"domain_scores_gemma":[0.9963416,0.0003365668,0.0009295273,0.001816597,0.0003690838,0.0002065658],"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":[0.001055981,0.00199287,0.2050079,0.0003911575,0.0002817585,0.00001520028,0.0006754293,0.000002402439,0.7733904,0.0164244,0.00005319614,0.0007092408],"study_design_scores_gemma":[0.003887831,0.00775943,0.7526485,0.0003803025,0.00009980379,0.00003263571,0.0005358184,0.0001031779,0.2296017,0.004480449,0.00001046909,0.0004599059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990582,0.004513328,0.0004241079,0.001524993,0.0001381331,0.001174034,0.00003675011,0.0001092919,0.001497331],"genre_scores_gemma":[0.9557105,0.019014,0.02475054,0.00008634817,0.00004111515,0.00005664126,0.0002616472,0.00006089519,0.00001831495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5476406,"threshold_uncertainty_score":0.9996362,"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."}}