{"id":"W4388210239","doi":"10.1002/dta.3591","title":"Detection of extracellular hemoglobin from <scp><i>Arenicola marina</i></scp> in doping control serum samples by means of liquid chromatography and high‐resolution tandem mass spectrometry","year":2023,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Hemoglobin; Mass spectrometry; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; High-performance liquid chromatography; 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":[0.0001354846,0.0003671805,0.0001287082,0.0007027099,0.0002465789,0.0002858423,0.0001594588,0.00039766,0.0003834829],"category_scores_gemma":[0.0002408315,0.0001232119,0.0001598112,0.0003108256,0.0001898417,0.00009662859,0.0001704182,0.0002676479,0.0001631934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392555,"about_ca_system_score_gemma":0.0001637755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681116,"about_ca_topic_score_gemma":0.002460376,"domain_scores_codex":[0.9998267,0.00001844635,0.00001090999,0.0000611388,0.00006599481,0.00001666333],"domain_scores_gemma":[0.9998715,0.00001644786,0.00004940248,0.00001017724,0.00003914544,0.00001341427],"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":[0.00002784809,0.00001243728,0.001562202,0.00002207221,0.000008037906,0.00005445319,0.00001748744,0.00001457898,0.9958444,0.00001214645,0.00002774632,0.00239656],"study_design_scores_gemma":[0.0000102526,0.0003698678,0.06945544,0.00004569639,0.0000548994,0.0009906996,0.0001204511,0.001739573,0.9233233,0.0000471127,0.003822526,0.00002023025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898018,0.001103536,0.006784472,0.0000814156,0.00002513723,0.0000592497,0.000593864,0.0002181953,0.001332267],"genre_scores_gemma":[0.9831412,0.0007763406,0.01293873,0.0001619556,0.00001782466,0.00005125766,0.0009163938,0.00003382933,0.001962555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001681116,"threshold_uncertainty_score":0.003342628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006689782695549506,"score_gpt":0.2019958939069863,"score_spread":0.1953061112114368,"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."}}