{"id":"W2134213199","doi":"10.1161/circresaha.109.209189","title":"TIMP2 Deficiency Accelerates Adverse Post–Myocardial Infarction Remodeling Because of Enhanced MT1-MMP Activity Despite Lack of MMP2 Activation","year":2010,"lang":"en","type":"article","venue":"Circulation Research","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Matrix metalloproteinase; MMP2; Myocardial infarction; Extracellular matrix; Collagenase; Tissue inhibitor of metalloproteinase; Ventricular remodeling; MMP9; Inflammation; Internal medicine; MMP1; Chemistry; Medicine; Endocrinology; Cell biology; Cardiology; Biology; Downregulation and upregulation; Biochemistry; Enzyme; Gene expression; Metastasis","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":[0.0002256124,0.001015472,0.0004806927,0.0005303081,0.0002345141,0.0004440763,0.0003221471,0.0004285047,0.00421169],"category_scores_gemma":[0.0001775101,0.0002882127,0.0003250033,0.000217727,0.0004112843,0.0003011275,0.0002370652,0.001096203,0.0009944722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002851673,"about_ca_system_score_gemma":0.0001939886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002915579,"about_ca_topic_score_gemma":0.0005352688,"domain_scores_codex":[0.9998391,0.0000246972,0.00002193202,0.00003297757,0.00004356694,0.00003773192],"domain_scores_gemma":[0.9996294,0.00002687957,0.0001436937,0.00002213484,0.00001947685,0.0001583991],"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":[0.0005823135,0.0001129135,0.0004030697,0.00004549414,0.000008973298,0.00020064,0.00001101123,0.00003227251,0.9979219,0.00005260062,0.00008523824,0.0005436579],"study_design_scores_gemma":[0.0003071532,0.002953974,0.02865751,0.00004848417,0.00009316584,0.003588405,0.00008334878,0.0011865,0.959541,0.0001294374,0.003390718,0.00002038337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941592,0.001077618,0.001871031,0.0001970069,0.00007447285,0.00005106776,0.0009427192,0.0002201738,0.001406702],"genre_scores_gemma":[0.9865432,0.001370533,0.002348162,0.0001351047,0.00007824527,0.0001534893,0.001374079,0.0001106639,0.007886585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00421169,"threshold_uncertainty_score":0.01408952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207752671687645,"score_gpt":0.4086699159887507,"score_spread":0.2878946488199862,"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."}}