{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003253246,0.000326689,0.0004083696,0.0001433442,0.0001140619,0.00005502615,0.0006364252,0.0002819504,0.0004173004],"category_scores_gemma":[0.00008933836,0.0002576823,0.0007356587,0.0006523778,0.0001678874,0.00001112893,0.000292193,0.0001726843,0.0001178159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002269419,"about_ca_system_score_gemma":0.0001096188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008915715,"about_ca_topic_score_gemma":0.000007448336,"domain_scores_codex":[0.9980057,0.0002210929,0.0004758133,0.0005332092,0.0003493121,0.0004148785],"domain_scores_gemma":[0.9981245,0.000005830173,0.0002935049,0.001212634,0.0002249005,0.0001386762],"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":[0.00003711773,0.00008541596,0.00003910462,0.00002054117,0.0007848931,0.000007576272,0.00001400774,0.000507773,0.9980655,0.0001862018,0.000155609,0.000096307],"study_design_scores_gemma":[0.000405918,0.0001539604,0.0000726373,0.00001219489,0.0006143063,0.000003442387,0.00001361785,0.002800484,0.9943859,0.0003924023,0.000838358,0.0003067949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842272,0.0008883246,0.01263383,0.0001312709,0.0000613545,0.00157729,0.00003570611,0.00002096685,0.0004240485],"genre_scores_gemma":[0.9919308,0.00001414493,0.004530717,0.0001471334,0.00005728762,0.000277412,0.0002039273,0.00005591427,0.002782596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008103109,"threshold_uncertainty_score":0.9999875,"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."}}