{"id":"W2005036868","doi":"10.1126/science.1220834","title":"Transforming Fusions of <i>FGFR</i> and <i>TACC</i> Genes in Human Glioblastoma","year":2012,"lang":"en","type":"article","venue":"Science","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":784,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"U.S. National Library of Medicine; National Institute of Neurological Disorders and Stroke; National Cancer Institute","keywords":"Biology; Fusion gene; Oncogene Proteins; Fusion protein; Fibroblast growth factor receptor; Carcinogenesis; Gene; Cancer research; Chronic myelogenous leukemia; ABL; Genetics; Tyrosine kinase; Leukemia; Regulation of gene expression; Fibroblast growth factor; Signal transduction; Receptor","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":[0.0001642162,0.0001426654,0.0001213734,0.0002538428,0.0001926754,0.0002250611,0.00006602097,0.0001656668,0.0004725741],"category_scores_gemma":[0.0001883632,0.0001279924,0.0001921126,0.0002373119,0.000205289,0.00008611711,0.0001404602,0.0002066931,0.0001854178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002781272,"about_ca_system_score_gemma":0.0003228093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202038,"about_ca_topic_score_gemma":0.001941637,"domain_scores_codex":[0.9999045,0.00001382134,0.000009950504,0.00001316338,0.00003321326,0.0000253103],"domain_scores_gemma":[0.9999441,0.00001258233,0.00001808732,0.000009272833,0.000004612432,0.00001133902],"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":[0.0002124114,0.00003956149,0.003522455,0.00003336693,0.00001199121,0.000539154,0.00006477608,0.0004173552,0.9891984,0.000409004,0.0001844449,0.005367054],"study_design_scores_gemma":[0.0001007083,0.0007175032,0.03506913,0.00001868267,0.0001164368,0.0100287,0.0002110518,0.002230377,0.9397022,0.000452169,0.01134029,0.00001275885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965668,0.0009343356,0.00121254,0.00007692267,0.00001113614,0.00001847116,0.0002166151,0.00003369346,0.0009295203],"genre_scores_gemma":[0.9970167,0.0009970437,0.0008706833,0.00002579703,0.000003598529,0.00001383314,0.0005580656,0.000009312472,0.0005050437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002202038,"threshold_uncertainty_score":0.004378438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247056195643823,"score_gpt":0.2973897835723718,"score_spread":0.2849192216159336,"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."}}