{"id":"W2036361928","doi":"10.1002/pmic.201400627","title":"Monitoring matrix metalloproteinase activity at the epidermal–dermal interface by SILAC‐iTRAQ‐TAILS","year":2015,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Stable isotope labeling by amino acids in cell culture; Proteases; Protease; Proteome; Extracellular matrix; Quantitative proteomics; Cell biology; Chemistry; Proteomics; Biochemistry; Metalloproteinase; Biology; Matrix metalloproteinase; Enzyme","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001432159,0.00114476,0.0006304735,0.001354815,0.0007507345,0.001084205,0.0007109166,0.0007728589,0.004732695],"category_scores_gemma":[0.0008572282,0.0005269538,0.0005449628,0.001293178,0.0004534646,0.0008326267,0.0006875028,0.00152392,0.002950459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005436199,"about_ca_system_score_gemma":0.0006123798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001197,"about_ca_topic_score_gemma":0.001889,"domain_scores_codex":[0.9989179,0.0001126606,0.00006615363,0.0004522976,0.0003376773,0.0001131608],"domain_scores_gemma":[0.9994906,0.0001617171,0.00009364671,0.00007459825,0.0001242545,0.0000551181],"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":[0.0001604311,0.00002282299,0.0004070047,0.000184563,0.0000257937,0.00006904281,0.00005924125,0.00009382382,0.9950628,0.0001533593,0.0006455072,0.003115825],"study_design_scores_gemma":[0.00002729404,0.00007562642,0.007210221,0.00002883375,0.000040773,0.0003817529,0.00005877609,0.003779774,0.9791408,0.0002891833,0.008933586,0.00003336585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6020575,0.007311838,0.3293465,0.0008436128,0.0003929869,0.0005418555,0.0422807,0.007404462,0.009820405],"genre_scores_gemma":[0.4389729,0.008623746,0.4832269,0.00122675,0.0001280803,0.001981828,0.04889659,0.002512024,0.01443102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004732695,"threshold_uncertainty_score":0.01583242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031993812412163,"score_gpt":0.2839066670844403,"score_spread":0.2635867289603187,"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."}}