{"id":"W1585830496","doi":"","title":"Tissue inhibitor of metalloproteinases-4 inhibits but does not support the activation of gelatinase A via efficient inhibition of membrane type 1-matrix metalloproteinase.","year":2001,"lang":"en","type":"article","venue":"PubMed","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gelatinase A; Hemopexin; Matrix metalloproteinase; Gelatinase; Concanavalin A; Fibroblast activation protein, alpha; Chemistry; Angiogenesis; Tissue inhibitor of metalloproteinase; Matrix metalloproteinase inhibitor; Molecular biology; Transfection; Extracellular matrix; Midkine; Zymogen; Metalloproteinase; Cell biology; Biochemistry; Cancer research; Biology; Enzyme; Receptor; In vitro; Growth factor; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008254367,0.0002577967,0.0004019197,0.0001369184,0.00006842898,0.00001039541,0.0001992124,0.0002191888,0.00005345354],"category_scores_gemma":[0.0003840014,0.0001785385,0.0001931607,0.0003612589,0.0001795458,0.00002033047,0.0001549601,0.0001299441,0.000003254819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002462962,"about_ca_system_score_gemma":0.00009040592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001402713,"about_ca_topic_score_gemma":0.0000122124,"domain_scores_codex":[0.9978943,0.0001567361,0.0007316732,0.0003891758,0.0004811994,0.0003468597],"domain_scores_gemma":[0.99826,0.00003175899,0.0006484032,0.0005552688,0.0004033808,0.0001011444],"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":[0.0006420978,0.0002972451,0.00002865744,0.000150683,0.00009944984,0.000004186811,0.00004600047,0.0001050612,0.9931645,0.0001917341,0.00002822151,0.005242194],"study_design_scores_gemma":[0.0008427719,0.0004754809,0.0002203669,0.00003953545,0.0000949282,0.00001606065,0.00006350674,0.00003739206,0.9971431,0.0001226536,0.0007417949,0.0002023574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954417,0.0002213274,0.001454759,0.0001635192,0.0001662982,0.002110774,0.00007704938,0.0000159216,0.0003486716],"genre_scores_gemma":[0.9979889,0.00005107311,0.0003628565,0.00005647994,0.0001841198,0.0005835876,0.0001255672,0.00003416442,0.0006131895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005039837,"threshold_uncertainty_score":0.7280588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209238608909871,"score_gpt":0.2282845917597288,"score_spread":0.21619220567063,"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."}}