{"id":"W2059719607","doi":"10.1021/ac048107i","title":"N-Terminal Adducts of Bovine Hemoglobin with Glutaraldehyde in a Hemoglobin-Based Oxygen Carrier","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Hemoglobin; Mass spectrometry; Chromatography; Glutaraldehyde; Tandem mass spectrometry; Detection limit; Electrospray; Adduct; Enzymatic hydrolysis; Peptide; Hydrolysis; Selected reaction monitoring; Triple quadrupole mass spectrometer; Ion; Biochemistry; Organic chemistry","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":[0.0002997209,0.0003909287,0.0001511363,0.0001750255,0.0001074201,0.000157638,0.0002840832,0.0002789861,0.0002422134],"category_scores_gemma":[0.0003096788,0.0001297309,0.0001865329,0.0001269072,0.0002057251,0.0001758795,0.0002094089,0.0002622263,0.0001356859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793379,"about_ca_system_score_gemma":0.0001555871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296487,"about_ca_topic_score_gemma":0.0012517,"domain_scores_codex":[0.9998294,0.0000480696,0.000009207814,0.0000387096,0.00004428675,0.00003026841],"domain_scores_gemma":[0.9998153,0.00003859909,0.00005746369,0.00003036553,0.00002859354,0.00002970494],"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":[0.00007685996,0.00001157307,0.0002349283,0.00001056399,0.000004876497,0.00002848373,0.000008481484,0.00004405958,0.9989512,0.00003780488,0.000006475174,0.0005847039],"study_design_scores_gemma":[0.000003697828,0.0001957147,0.001032664,0.000001840745,0.00001310065,0.00007027965,0.000004021902,0.0004147507,0.9978985,0.00001314009,0.000350633,0.000001684799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924302,0.0006769957,0.006342729,0.00004134654,0.00001467986,0.00001744606,0.00003027491,0.00003570585,0.000410778],"genre_scores_gemma":[0.9927827,0.0004291003,0.005499281,0.00003774659,0.00000768828,0.00001034157,0.0001288375,0.00001695043,0.001087414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001296487,"threshold_uncertainty_score":0.002577841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008320012565083317,"score_gpt":0.2476986091146417,"score_spread":0.2393785965495584,"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."}}