{"id":"W2949735167","doi":"10.1016/j.oooo.2019.02.089","title":"TERMINAL AMINE ISOTOPIC LABELING OF SUBSTRATES (TAILS) ANALYSIS REVEALS NOVEL POTENTIAL SUBSTRATES OF TUMOR SUPPRESSIVE MATRIX METALLOPROTEINASE-8 IN ORAL TONGUE CARCINOMA","year":2019,"lang":"en","type":"article","venue":"Oral Surgery Oral Medicine Oral Pathology and Oral Radiology","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Matrix metalloproteinase; Metalloproteinase; Chemistry; Amine gas treating; Matrix (chemical analysis); Terminal (telecommunication); Tongue; Cell biology; Cancer research; Biochemistry; Biology; Pathology; Medicine; Chromatography; Computer science; Organic chemistry","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":[0.0001217848,0.0002704866,0.000126867,0.0002192336,0.0001702949,0.0002554142,0.0003042032,0.0002663661,0.001236223],"category_scores_gemma":[0.0002004407,0.0001477259,0.0002184552,0.0001487003,0.0001723241,0.0002712712,0.0001708821,0.0003244711,0.0002810323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381845,"about_ca_system_score_gemma":0.0001370083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004337915,"about_ca_topic_score_gemma":0.0005835838,"domain_scores_codex":[0.999947,0.000009311621,0.000003610737,0.00001001794,0.00001091337,0.00001911559],"domain_scores_gemma":[0.9998657,0.00003853171,0.00002841741,0.00001999792,0.00002090008,0.00002654889],"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":[0.0002531455,0.000009585222,0.0006445105,0.00002036762,0.000004915009,0.0002380475,0.00002311974,0.00004685038,0.9975714,0.0001575326,0.00001328632,0.001017226],"study_design_scores_gemma":[0.00001444135,0.000198072,0.007969701,0.000005157546,0.00002880181,0.001019956,0.00007122706,0.001549992,0.987923,0.0001466413,0.001067537,0.000005473941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954913,0.0003222283,0.003088076,0.00002779206,0.000005784156,0.000006244277,0.00009484107,0.00001529087,0.0009484455],"genre_scores_gemma":[0.994767,0.0002879233,0.003321216,0.00001797238,0.000005718043,0.00001149682,0.0003353296,0.00001337956,0.001240066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236223,"threshold_uncertainty_score":0.004135609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370922632676201,"score_gpt":0.2628893856039572,"score_spread":0.2491801592771952,"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."}}