{"id":"W2560493566","doi":"10.1038/nrc.2016.115","title":"TIMPs: versatile extracellular regulators in cancer","year":2016,"lang":"en","type":"review","venue":"Nature reviews. Cancer","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":456,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"TIMP1; Cancer; Cancer research; Carcinogenesis; Matrix metalloproteinase; Stromal cell; Cancer cell; Gene silencing; Biology; Stroma; Proteases; Extracellular matrix; Medicine; Cell biology; Pathology; Immunology; Enzyme; Gene expression; Immunohistochemistry; Gene; Biochemistry","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":[0.0007316811,0.001156508,0.001319201,0.001574067,0.0002703423,0.001768438,0.0009877011,0.001210309,0.002639008],"category_scores_gemma":[0.0007378718,0.0003188702,0.0004473195,0.001859297,0.0008070413,0.001420825,0.0009667368,0.003015369,0.002304554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006043309,"about_ca_system_score_gemma":0.0009235871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004275075,"about_ca_topic_score_gemma":0.0009050395,"domain_scores_codex":[0.9997026,0.00004050708,0.00003526136,0.00003285213,0.0001402275,0.00004839467],"domain_scores_gemma":[0.9996221,0.0001398124,0.00007358403,0.00001284061,0.0000869229,0.00006472054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001595166,0.00004587326,0.0002526805,0.006012213,0.00007672735,0.0003261909,0.00004439868,0.0004511846,0.005361088,0.005388964,0.05085569,0.9310256],"study_design_scores_gemma":[0.00003897646,0.00005809537,0.0005554435,0.001108863,0.0000785284,0.001631452,0.0000438726,0.0001449951,0.001371098,0.003185719,0.991763,0.00001994489],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001097824,0.9981911,0.0002476287,0.0004933502,0.000282457,0.000002638285,0.00002241212,0.00001293386,0.0006377638],"genre_scores_gemma":[0.001226194,0.9967085,0.0002348424,0.0003318508,0.0005617528,0.000005565722,0.00005463783,0.000002441415,0.0008741272],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002639008,"threshold_uncertainty_score":0.008828342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519504725710598,"score_gpt":0.3601545716147486,"score_spread":0.3349595243576426,"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."}}