{"id":"W4378573214","doi":"10.1007/s12079-023-00765-8","title":"Recent progress on the role of cellular communication network factors (CCN) 3, 4 and 6 in regulating adiposity, liver fibrosis and pancreatic islets","year":2023,"lang":"en","type":"review","venue":"Journal of Cell Communication and Signaling","topic":"Connective Tissue Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Extracellular matrix; Wnt signaling pathway; Cell biology; CTGF; Fibrosis; Matricellular protein; Inflammation; Biology; Cancer research; Protein kinase B; Integrin; Cell adhesion; Growth factor; Signal transduction; Medicine; Cell; Immunology; Pathology; Receptor; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00137782,0.0001802938,0.000541249,0.0001196029,0.0001652715,0.00006088253,0.0003946862,0.0001672446,0.000006711989],"category_scores_gemma":[0.0001675899,0.0001304562,0.00009065575,0.0001846174,0.0001629054,0.000009849848,0.0004379855,0.0004709715,3.354487e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002860289,"about_ca_system_score_gemma":0.00006107158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001834551,"about_ca_topic_score_gemma":0.00001683925,"domain_scores_codex":[0.9977831,0.001156783,0.0005896183,0.0001477692,0.0001790494,0.0001437399],"domain_scores_gemma":[0.9977172,0.0008145032,0.0007704516,0.0004797607,0.0001568491,0.0000612574],"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":[0.0003307189,0.0003011493,0.007735761,0.007520971,0.0009007984,0.00000555915,0.002577959,0.00008653397,0.04212552,0.0005156822,0.000141022,0.9377583],"study_design_scores_gemma":[0.003210343,0.002680787,0.006182443,0.09330207,0.002745227,0.0001500142,0.00434004,0.001993913,0.09378854,0.003094256,0.7862277,0.002284667],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1825017,0.8170701,0.000006642119,0.00003909041,0.000007644809,0.0003044478,0.000003833118,0.000002000831,0.00006448342],"genre_scores_gemma":[0.3021303,0.6975758,0.0002012786,0.000004381559,0.0000199135,0.00000742354,0.00002791221,0.00001892664,0.00001408136],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9354737,"threshold_uncertainty_score":0.5319849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0576649031075944,"score_gpt":0.3177045106528349,"score_spread":0.2600396075452405,"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."}}