{"id":"W2147143140","doi":"10.1093/glycob/cwl049","title":"Dependence of neurotrophic factor activation of Trk tyrosine kinase receptors on cellular sialidase","year":2006,"lang":"en","type":"article","venue":"Glycobiology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Tropomyosin receptor kinase A; Tropomyosin receptor kinase B; Trk receptor; Sialidase; Chemistry; Neurotrophin; Nerve growth factor; Low-affinity nerve growth factor receptor; Tropomyosin receptor kinase C; Receptor; Receptor tyrosine kinase; Ganglioside; Cell biology; Brain-derived neurotrophic factor; Neuraminidase; Biochemistry; Neurotrophic factors; Biology; Platelet-derived growth factor receptor; Growth factor; Enzyme","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":[0.00008656443,0.0003102341,0.0001639786,0.0000804387,0.0000837699,0.0002365198,0.0001678495,0.0001119089,0.001002729],"category_scores_gemma":[0.0001489854,0.00008249669,0.0002112354,0.00008570666,0.0001206946,0.0001578605,0.0001812606,0.000289159,0.0004630121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601599,"about_ca_system_score_gemma":0.0002295091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090413,"about_ca_topic_score_gemma":0.00200689,"domain_scores_codex":[0.9998683,0.00001968395,0.00001530011,0.00001856048,0.00003827668,0.00003997609],"domain_scores_gemma":[0.9998912,0.00002348021,0.00001884737,0.00002001234,0.00001971675,0.00002682878],"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":[0.00009201965,0.00001014415,0.0001977847,0.00003541859,0.000005463744,0.00004358697,0.000008297642,0.00002439276,0.998405,0.00006418648,0.00001932794,0.00109436],"study_design_scores_gemma":[0.00001186652,0.0001893977,0.007353284,0.00001072116,0.00001244196,0.0003874092,0.00001925068,0.0005651691,0.9897697,0.00004722446,0.001628315,0.0000052009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915813,0.00409524,0.001304616,0.00005117607,0.00001902189,0.00001704295,0.0003945134,0.00004761589,0.002489536],"genre_scores_gemma":[0.9937485,0.002356682,0.001253618,0.0000232099,0.000006525068,0.00002921843,0.0008245474,0.00001331332,0.00174431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001090413,"threshold_uncertainty_score":0.00335449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393392627756527,"score_gpt":0.2548983279929375,"score_spread":0.2409644017153723,"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."}}