{"id":"W2954056751","doi":"10.3389/fphar.2019.00698","title":"Antitumor Activities and Cellular Changes Induced by TrkB Inhibition in Medulloblastoma","year":2019,"lang":"en","type":"article","venue":"Frontiers in Pharmacology","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Ministério da Saúde; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Tropomyosin receptor kinase B; Neurotrophin; Biology; Low-affinity nerve growth factor receptor; Tropomyosin receptor kinase A; Cancer research; Cell biology; Brain-derived neurotrophic factor; Neurotrophic factors; STAT3; Kinase; Signal transduction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007282871,0.0002323332,0.0002632446,0.0002388071,0.0001038819,0.0001194617,0.0001041673,0.0001268442,0.0009720969],"category_scores_gemma":[0.00006021297,0.00007524979,0.0001900406,0.0001784507,0.000107263,0.0001204249,0.00007398531,0.0004143037,0.0001515273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840541,"about_ca_system_score_gemma":0.0001798844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090939,"about_ca_topic_score_gemma":0.001855577,"domain_scores_codex":[0.9999433,0.000009425393,0.000005289128,0.000008590844,0.00001495905,0.0000185241],"domain_scores_gemma":[0.9999707,0.000005291963,0.000006870491,0.000004081597,0.000004460191,0.000008649043],"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":[0.000343485,0.00009870594,0.000242351,0.00004971608,0.0000080737,0.00005491707,0.00001912431,0.00008115722,0.9960211,0.00007645225,0.00004436611,0.002960569],"study_design_scores_gemma":[0.00004250645,0.001690354,0.007666971,0.000004771393,0.00002899456,0.0001856241,0.00002550086,0.0005185656,0.9878985,0.00003868488,0.001896426,0.000003090339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950675,0.002367175,0.0007194793,0.00004105416,0.00002193777,0.00002711282,0.0002637364,0.00006054879,0.001431355],"genre_scores_gemma":[0.9963049,0.001478815,0.0006331352,0.00001892475,0.000005696695,0.00003346636,0.00030655,0.000007212129,0.001211329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001090939,"threshold_uncertainty_score":0.00325197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239416971849082,"score_gpt":0.2564295743133962,"score_spread":0.2440354045949054,"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."}}