{"id":"W4313569637","doi":"10.3390/biom13010111","title":"Nuclear Export in Non-Hodgkin Lymphoma and Implications for Targeted XPO1 Inhibitors","year":2023,"lang":"en","type":"review","venue":"Biomolecules","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Canada Research Chairs; University Health Network","funders":"","keywords":"Lymphoma; Nuclear export signal; Cancer research; Carcinogenesis; Clinical trial; Suppressor; Transcription factor; Cancer; Transcription (linguistics); Medicine; Biology; RNA; Bioinformatics; Immunology; Internal medicine; Gene; 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":[0.0006310446,0.0006710124,0.00109928,0.001385219,0.0002089853,0.0007092684,0.0007624599,0.0009381482,0.002580779],"category_scores_gemma":[0.0005830389,0.000278784,0.0004793343,0.001410542,0.0004248077,0.0009928377,0.0005319141,0.002147941,0.001655159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006810721,"about_ca_system_score_gemma":0.0006643533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007102448,"about_ca_topic_score_gemma":0.001572798,"domain_scores_codex":[0.9998723,0.0000234836,0.0000177323,0.00002355169,0.00004774331,0.00001501478],"domain_scores_gemma":[0.9997819,0.0001068269,0.0000272867,0.000007096281,0.00005597837,0.00002092585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001683664,0.0001141809,0.00012622,0.01251398,0.00008936368,0.0003277513,0.00005916806,0.0006744881,0.003198271,0.005777385,0.03906868,0.937882],"study_design_scores_gemma":[0.00004050224,0.0001593859,0.0005222418,0.001937039,0.00007797969,0.001156935,0.00002944597,0.0001207304,0.0007218001,0.001601551,0.993619,0.00001342702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001636197,0.9984558,0.0001055386,0.0002982902,0.0001885949,0.000003944771,0.00001437493,0.000006927674,0.0007629659],"genre_scores_gemma":[0.000757477,0.997848,0.0001474162,0.0003208436,0.0001247271,0.00000867484,0.0000300823,0.000002181403,0.0007604726],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002580779,"threshold_uncertainty_score":0.008633614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743745623317233,"score_gpt":0.3522287169547851,"score_spread":0.3147912607216128,"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."}}