{"id":"W2096242526","doi":"10.1091/mbc.e08-11-1149","title":"Tetraspanin Proteins Regulate Membrane Type-1 Matrix Metalloproteinase-dependent Pericellular Proteolysis","year":2009,"lang":"en","type":"article","venue":"Molecular Biology of the Cell","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Tetraspanin; Biology; CD81; Fibronectin; Cell biology; Proteolysis; Metalloproteinase; Extracellular matrix; Matrix metalloproteinase; Membrane protein; Cell; Biochemistry; Immunology; Membrane; Enzyme","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003588475,0.0003150292,0.0003330768,0.00007011062,0.0001210011,0.00001506913,0.000697457,0.0003706399,0.00005328959],"category_scores_gemma":[0.00008508025,0.0002347392,0.0003304394,0.0002367276,0.0001519899,0.000006224953,0.0002159384,0.0002048018,0.00002301784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001943216,"about_ca_system_score_gemma":0.000101321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002726965,"about_ca_topic_score_gemma":0.000002795623,"domain_scores_codex":[0.9981409,0.0002928628,0.0003768162,0.0005669316,0.0002086771,0.0004137548],"domain_scores_gemma":[0.9984649,0.000004174323,0.0002684545,0.001032731,0.0001343585,0.00009534902],"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":[0.000117435,0.0001557158,0.00002845549,0.00002910606,0.00007464913,0.00001030437,0.0000148761,0.00007530342,0.9985855,0.0006079369,0.0000515582,0.0002491795],"study_design_scores_gemma":[0.0005705234,0.0009446701,0.00003109856,0.00002032757,0.00008659709,0.00002158227,0.00001115205,0.00002575947,0.9941741,0.001498142,0.002330848,0.0002852413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877907,0.003390372,0.005680228,0.0005019376,0.0001798029,0.001374212,0.00001751697,0.00002998357,0.001035247],"genre_scores_gemma":[0.9929201,0.0000563826,0.003927798,0.0003179748,0.00009545,0.00005521911,0.00005536497,0.00003525284,0.002536468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00512939,"threshold_uncertainty_score":0.9572388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004570702530784089,"score_gpt":0.2265644892012581,"score_spread":0.221993786670474,"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."}}