{"id":"W4220958213","doi":"10.1016/j.ab.2022.114676","title":"Faster and sensitive zymographic detection of oxidases generating hydrogen peroxide. The case of diamine oxidase","year":2022,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Ministero degli Affari Esteri e della Cooperazione Internazionale; Ministère des relations internationales et de la Francophonie","keywords":"Peroxidase; Diamine oxidase; Hydrogen peroxide; Substrate (aquarium); Chemistry; Oxidase test; Diamine; Chromatography; Combinatorial chemistry; Enzyme; Biochemistry; Organic chemistry; Biology","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":[0.0001613474,0.0001088606,0.0001401783,0.00002849819,0.0001490368,0.000006299121,0.00009296655,0.00005263251,0.00001073171],"category_scores_gemma":[0.00008842126,0.00008937202,0.00009663058,0.0001842683,0.0002406432,0.000002116274,0.0002064931,0.00009684531,2.163311e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000464991,"about_ca_system_score_gemma":0.00002561492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005986116,"about_ca_topic_score_gemma":0.00001239584,"domain_scores_codex":[0.9992592,0.00005374819,0.0002242369,0.000245144,0.00008807603,0.0001296115],"domain_scores_gemma":[0.9994272,0.0000383523,0.0001070705,0.0003076697,0.000060965,0.00005872902],"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":[0.00001973245,0.00005918125,0.0001696923,0.0000193597,0.00005746634,0.00001143727,0.00002120654,0.0000249183,0.9981508,0.0000549105,0.00002824815,0.001383003],"study_design_scores_gemma":[0.0001966553,0.00006600468,0.0002427666,0.00000275767,0.00008534501,0.0004171852,0.0005269946,0.00126673,0.9968684,0.00002399349,0.0002074192,0.00009570982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983921,0.0007572563,0.0004108521,0.00009053723,0.00001073933,0.0000847725,0.000147214,0.000004071103,0.000102428],"genre_scores_gemma":[0.9994739,0.00003469465,0.00008940759,0.00007617119,0.00007827045,0.00002676104,0.00006599801,0.000009537475,0.0001452806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001287293,"threshold_uncertainty_score":0.3644485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006456053360678688,"score_gpt":0.2314206273262192,"score_spread":0.2249645739655405,"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."}}