{"id":"W3120464099","doi":"10.1016/j.immuni.2020.12.012","title":"Spliceosome-Targeted Therapies Induce dsRNA Responses","year":2021,"lang":"en","type":"letter","venue":"Immunity","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Biology; Spliceosome; Computational biology; Virology; RNA; Cancer research; Genetics; RNA splicing; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001820243,0.0003566944,0.0003205425,0.00008881276,0.0001518192,0.00008573901,0.0006415769,0.001079662,0.0002552804],"category_scores_gemma":[0.0001457307,0.0003441318,0.0002503016,0.0001107734,0.0001256745,0.000004390658,0.0003243487,0.001320072,0.00008918486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002103511,"about_ca_system_score_gemma":0.0002664007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002245013,"about_ca_topic_score_gemma":0.00003868683,"domain_scores_codex":[0.9982257,0.0004866771,0.0002710682,0.000446488,0.0001924177,0.0003776045],"domain_scores_gemma":[0.9983146,0.0000507504,0.0001472998,0.001212902,0.0002348612,0.00003962301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000762784,0.00002926368,0.0001140341,0.00002993324,0.0002446354,0.00009441833,0.00008115073,3.623484e-7,0.3906972,6.873918e-7,0.6072511,0.001380907],"study_design_scores_gemma":[0.0001831846,0.0001585044,0.001479877,0.0000550769,0.00003202915,0.00004072335,0.0001279976,3.855989e-7,0.1904955,0.00003546781,0.8070076,0.0003835949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9201189,0.01224884,0.00002088851,0.06473413,0.000770326,0.0001691039,0.0001798489,0.00003332612,0.001724694],"genre_scores_gemma":[0.2935513,0.004042381,0.0002620784,0.6361105,0.005416245,0.00008814305,0.00708856,0.000156148,0.05328463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6265675,"threshold_uncertainty_score":0.9999011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862956159402361,"score_gpt":0.2699211904502917,"score_spread":0.2412916288562681,"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."}}