{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004236059,0.00006419279,0.00007037158,0.0001008112,0.00009672605,0.0000116576,0.0002092334,0.00004018008,0.00000944154],"category_scores_gemma":[0.00004255873,0.00005809973,0.00001939363,0.000307266,0.0004713634,0.00001909401,0.0001397199,0.00005396929,0.000001818656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008318845,"about_ca_system_score_gemma":0.0000623514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002119116,"about_ca_topic_score_gemma":0.00006051488,"domain_scores_codex":[0.9991514,0.00001755069,0.0001165257,0.000181951,0.0001951372,0.0003374513],"domain_scores_gemma":[0.9996555,0.000007755997,0.00002292355,0.0001654901,0.00003911154,0.0001091696],"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":[0.000009259733,0.00002560298,0.03381341,0.00001254322,8.869787e-7,2.736303e-7,0.0001219963,0.000002648974,0.9646614,0.0001295329,0.00001127065,0.001211216],"study_design_scores_gemma":[0.0001556711,0.000135194,0.02502902,0.00001340872,0.000001051134,0.000008181822,0.00007923217,0.000009647725,0.9724247,0.00002121383,0.002053404,0.00006924985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981412,0.0006343478,0.00008357243,0.00002941594,0.0000329442,0.0000971996,0.000004657358,0.000002829679,0.0009738176],"genre_scores_gemma":[0.9996107,0.00004855947,0.00021004,0.0000237693,0.00003424089,0.00000531818,0.00000126711,0.000005105467,0.00006096785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008784392,"threshold_uncertainty_score":0.2369238,"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."}}