{"id":"W4385904643","doi":"10.1038/s41392-023-01539-9","title":"VEGF-B prevents excessive angiogenesis by inhibiting FGF2/FGFR1 pathway","year":2023,"lang":"en","type":"article","venue":"Signal Transduction and Targeted Therapy","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"State Key Laboratory of Ophthalmology; Novo Nordisk Fonden; National Natural Science Foundation of China-Yunnan Joint Fund; Sun Yat-sen University; National Natural Science Foundation of China","keywords":"Angiogenesis; Fibroblast growth factor receptor 1; Cancer research; MAPK/ERK pathway; In vivo; Fibroblast growth factor; Function (biology); VEGF receptors; Vascular endothelial growth factor; Biology; Medicine; Pharmacology; Chemistry; Cell biology; Signal transduction; Internal medicine; Receptor; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001907646,0.0001748954,0.0001296076,0.00009850186,0.0001640101,0.00003515245,0.0001027315,0.0001462282,0.0001956031],"category_scores_gemma":[0.000009309777,0.0001641591,0.0001002181,0.0003011043,0.00008570936,0.00001197944,0.00002143446,0.000103971,0.00002029944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008972316,"about_ca_system_score_gemma":0.00004086633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001578872,"about_ca_topic_score_gemma":0.000002189778,"domain_scores_codex":[0.9987555,0.0001295796,0.000174987,0.0003981073,0.000209361,0.0003325218],"domain_scores_gemma":[0.999645,0.00001412383,0.00004635322,0.0001192025,0.00005796868,0.0001173538],"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":[0.0001617347,0.00004278048,0.0009986139,0.00001913329,0.00008336321,0.000003057299,0.0001563927,0.00001809739,0.9860592,0.000007993459,0.001200444,0.01124916],"study_design_scores_gemma":[0.000880904,0.0003422108,0.001588454,0.00001579753,0.000003853267,0.000007372707,0.0001297663,0.00003769754,0.9843395,0.0001132322,0.01234712,0.0001940549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965304,0.002041945,0.000624141,0.000212256,0.0001023593,0.000246514,0.00008614935,0.00006533012,0.0000909126],"genre_scores_gemma":[0.9970441,0.001432209,0.0000587468,0.00007961557,0.0001949405,0.00004606202,0.0004250478,0.00003980952,0.0006795081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01114668,"threshold_uncertainty_score":0.6694214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602937425335377,"score_gpt":0.258292156353639,"score_spread":0.2422627821002852,"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."}}