{"id":"W2127827537","doi":"10.1074/mcp.m113.035139","title":"Time-resolved Analysis of the Matrix Metalloproteinase 10 Substrate Degradome","year":2013,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Eye Institute; Eidgenössische Technische Hochschule Zürich; European Commission; National Heart, Lung, and Blood Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Michael Smith Health Research BC; FP7 People: Marie-Curie Actions; National Institutes of Health; National Science Foundation","keywords":"Protease; Chemistry; Cleavage (geology); Proteolysis; Metalloproteinase; Biophysics; Cell biology; Matrix metalloproteinase; Biochemistry; Biology; Enzyme","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003381701,0.0003851191,0.0002325518,0.0006642652,0.0002191454,0.0003941771,0.0002822008,0.0003298013,0.001029735],"category_scores_gemma":[0.0002768705,0.0001295316,0.0002043325,0.0005213045,0.0001644808,0.000311195,0.0002261465,0.0004947687,0.0004632867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250911,"about_ca_system_score_gemma":0.0001946407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005346131,"about_ca_topic_score_gemma":0.0009462986,"domain_scores_codex":[0.9998534,0.00001651295,0.000007529628,0.00004351429,0.0000585975,0.00002040133],"domain_scores_gemma":[0.9997945,0.00006713339,0.00004374047,0.00002294044,0.00004542832,0.000026212],"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":[0.00004410422,0.00001006429,0.0004178833,0.00003678715,0.000008332617,0.00005135708,0.000015138,0.00003734291,0.9966511,0.00008658838,0.00004845056,0.002592905],"study_design_scores_gemma":[0.000006081245,0.0001339173,0.01429111,0.000006837452,0.00002569862,0.0006659016,0.00004757852,0.003292891,0.9783767,0.0002220369,0.002918526,0.00001279445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8756566,0.004229364,0.1134067,0.0001555273,0.00009470325,0.0001011543,0.003149593,0.0003658133,0.00284059],"genre_scores_gemma":[0.8472317,0.007710112,0.1327753,0.0002216465,0.00007722595,0.0002749099,0.004233595,0.0001271741,0.007348302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001029735,"threshold_uncertainty_score":0.003444791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00474453653259351,"score_gpt":0.2011714982306345,"score_spread":0.196426961698041,"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."}}