{"id":"W4389497544","doi":"10.1101/2023.12.07.570685","title":"Differential effects of MATR3 variants on its cryptic splicing repression function","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Agricultural Research Service; Hospital for Sick Children; U.S. Department of Agriculture; Canada Research Chairs; University of Toronto","keywords":"RNA splicing; Biology; Psychological repression; RNA-binding protein; Genetics; Alternative splicing; Exon; Gene; RNA; Context (archaeology); Computational biology; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002341269,0.0003469308,0.000280508,0.0002079085,0.0001349574,0.000306863,0.0002744159,0.0003063611,0.002026873],"category_scores_gemma":[0.000248615,0.00009724496,0.0003279877,0.0001716892,0.0003244705,0.0001157296,0.0002203117,0.0004418866,0.0006511252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457462,"about_ca_system_score_gemma":0.00009670288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004400711,"about_ca_topic_score_gemma":0.0004681495,"domain_scores_codex":[0.9997448,0.0000636726,0.00003279298,0.00006084542,0.00006333636,0.00003453602],"domain_scores_gemma":[0.9997495,0.00006926573,0.00008011606,0.00003715453,0.00002285102,0.00004110898],"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":[0.000201456,0.00001055821,0.0003695906,0.0000126158,0.00001065139,0.0001621662,0.000009784126,0.0000826438,0.9983942,0.00008057331,0.00002291439,0.0006428831],"study_design_scores_gemma":[0.00001499152,0.0001718264,0.006194732,0.0000043318,0.00003219023,0.001146586,0.00002088909,0.001306083,0.9899532,0.0001130387,0.001034238,0.000007930874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959074,0.0004667214,0.002265223,0.00005498291,0.00001649195,0.000008428662,0.0005157687,0.00009703538,0.0006677835],"genre_scores_gemma":[0.9980798,0.00008160792,0.0008841213,0.00002438814,0.000005191019,0.000005273877,0.0004236376,0.00005172332,0.0004442194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002026873,"threshold_uncertainty_score":0.006780624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683246226562922,"score_gpt":0.2490484544066173,"score_spread":0.2322159921409881,"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."}}