{"id":"W4413862335","doi":"10.1016/j.bbrc.2025.152557","title":"A HPLC-based methylene blue/methylene green method for accurate measurement of hydrogen sulfide in plasma","year":2025,"lang":"en","type":"article","venue":"Biochemical and Biophysical Research Communications","topic":"Sulfur Compounds in Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methylene blue; Hydrogen sulfide; Methylene; Chemistry; Plasma; Chromatography; Sulfide; Organic chemistry; Sulfur; Catalysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001985131,0.0001757284,0.0003220212,0.0002040004,0.0001473618,0.00001643384,0.001081006,0.0002581143,0.00000253491],"category_scores_gemma":[0.001874234,0.0001569731,0.0001417327,0.0005980228,0.0009187398,0.000004395566,0.0008079793,0.0003237712,0.000001687852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006856,"about_ca_system_score_gemma":0.0003189686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002766462,"about_ca_topic_score_gemma":0.000101581,"domain_scores_codex":[0.9976888,0.0006923684,0.0004233413,0.0004828313,0.0003006432,0.0004120205],"domain_scores_gemma":[0.9968877,0.0009970997,0.00007686272,0.001273817,0.0006516498,0.000112859],"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":[0.0003724709,0.0004404216,0.0001324089,0.00008033699,0.00008507767,2.253847e-7,0.00001867001,0.000005031906,0.9892788,0.002509424,0.0004883669,0.006588751],"study_design_scores_gemma":[0.00101468,0.0002911869,0.000365977,0.00006569672,0.00002364989,6.966805e-7,0.0000543302,0.004332965,0.9727642,0.002604565,0.01833244,0.0001496237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829142,0.003163138,0.006574003,0.005887399,0.00003107163,0.0008575681,0.0001098914,0.00001582727,0.0004469056],"genre_scores_gemma":[0.9626383,0.0004357015,0.03602779,0.0001345765,0.00005209948,0.0004106113,0.0001611625,0.00001487108,0.0001249243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02945379,"threshold_uncertainty_score":0.6401176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019164195066641,"score_gpt":0.4127496492037464,"score_spread":0.3108332296970823,"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."}}