{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005141196,0.0006802447,0.0007417547,0.001816259,0.0002537109,0.0007300009,0.0006217412,0.0008197505,0.002506837],"category_scores_gemma":[0.0006019272,0.0002083152,0.0003282755,0.002005548,0.0004186667,0.001363749,0.0005874739,0.00123988,0.001077858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626276,"about_ca_system_score_gemma":0.001014045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006044763,"about_ca_topic_score_gemma":0.001033086,"domain_scores_codex":[0.9998831,0.00001742037,0.00002091809,0.00003017198,0.00003532091,0.00001314021],"domain_scores_gemma":[0.9996783,0.0001517814,0.00004201573,0.00001090349,0.00007521208,0.00004186087],"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":[0.00009690117,0.00005674057,0.0002115868,0.01792926,0.0000764685,0.0002421075,0.00008546345,0.0003969446,0.004037643,0.004564678,0.02313229,0.9491699],"study_design_scores_gemma":[0.00001357447,0.0001061265,0.0008001236,0.00167997,0.0001220898,0.001031753,0.0000726972,0.00008471707,0.0009537858,0.001926604,0.9931871,0.00002141039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001912579,0.9982029,0.000198915,0.0003019061,0.0003309295,0.000003298575,0.00001413238,0.000008313228,0.0007482367],"genre_scores_gemma":[0.0006206632,0.9983309,0.0002413817,0.000156583,0.0002288534,0.000004109391,0.00002477313,0.00000135895,0.0003913925],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002506837,"threshold_uncertainty_score":0.008386135,"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."}}