{"id":"W2141030054","doi":"10.1093/brain/awv102","title":"Fibroblast growth factor signalling in multiple sclerosis: inhibition of myelination and induction of pro-inflammatory environment by FGF9","year":2015,"lang":"en","type":"article","venue":"Brain","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; Schweizerische Multiple Sklerose Gesellschaft; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Austrian Science Fund; Multiple Sclerosis Society","keywords":"Remyelination; Multiple sclerosis; Oligodendrocyte; Biology; Myelin; Cell biology; FGF9; Microglia; Astrocyte; Fibroblast growth factor; Chemokine; Immunology; Neuroscience; Cancer research; Inflammation; Central nervous system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002497416,0.0005356771,0.0003401933,0.0003797896,0.000270489,0.000367531,0.0001670905,0.0006435743,0.0007789551],"category_scores_gemma":[0.0001242762,0.0001320165,0.0002397733,0.0002158395,0.0003474937,0.0003158684,0.0002637274,0.0005771415,0.0003235728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005987732,"about_ca_system_score_gemma":0.0003011878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414326,"about_ca_topic_score_gemma":0.002095457,"domain_scores_codex":[0.9998789,0.00003061848,0.00001056981,0.00001700052,0.0000373787,0.00002548778],"domain_scores_gemma":[0.9999399,0.000007519772,0.00001383901,0.000004078409,0.00001469565,0.00001997192],"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":[0.0006597976,0.00005714689,0.0008695527,0.0003413303,0.00002192714,0.0005777715,0.0000621338,0.000176374,0.9812819,0.0006497307,0.0005157501,0.01478661],"study_design_scores_gemma":[0.0001840294,0.001349617,0.0416586,0.0001785944,0.0001211004,0.004925891,0.0002291576,0.001819352,0.9100477,0.001984596,0.03745466,0.00004673208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7949824,0.1893703,0.00470907,0.002978868,0.0002464927,0.00006053082,0.0005518052,0.0002310233,0.00686944],"genre_scores_gemma":[0.9491056,0.04361753,0.0019223,0.0003179037,0.0001173934,0.00005249051,0.0002004695,0.00001841898,0.004647914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001414326,"threshold_uncertainty_score":0.004344404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625317629038102,"score_gpt":0.2338920491421987,"score_spread":0.1976388728518176,"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."}}