{"id":"W3162971530","doi":"10.1126/science.abc7531","title":"A prometastatic splicing program regulated by SNRPA1 interactions with structured RNA elements","year":2021,"lang":"en","type":"article","venue":"Science","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"Medical Research Council; Canadian Institutes of Health Research; University of California, San Francisco; DOD Peer Reviewed Cancer Research Program; National Cancer Institute; National Institutes of Health; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco; Compute Canada; American College of Surgeons; Langley Research Center; Howard Hughes Medical Institute","keywords":"RNA splicing; RNA; Computational biology; Computer science; Biology; Genetics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001836102,0.00007935618,0.00006954828,0.00004475177,0.0002004258,0.000114995,0.0001971837,0.0000176763,0.00003308251],"category_scores_gemma":[0.0001244324,0.00006174534,0.00002034079,0.0005606387,0.0001984826,0.00001354239,0.0001043773,0.00008040676,0.00000358909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002315222,"about_ca_system_score_gemma":0.0002875197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001414914,"about_ca_topic_score_gemma":0.00008018671,"domain_scores_codex":[0.9988881,0.0000255179,0.0001109706,0.0003572481,0.0002857691,0.000332398],"domain_scores_gemma":[0.9993688,0.000004390537,0.00004447567,0.0002706326,0.0001868093,0.0001248571],"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":[0.0000161672,0.00003868479,0.0008173672,0.000007155998,0.00001417637,0.000006452518,0.00002065938,0.0000133111,0.9813574,0.000009569494,0.0002738411,0.01742524],"study_design_scores_gemma":[0.0002947484,0.0002739044,0.002296555,0.00002468622,0.0000058743,0.00004305591,0.0001513269,0.000964684,0.9883116,0.00002548942,0.007503297,0.0001047565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983346,0.00009968036,0.0007060454,0.000149615,0.00004240441,0.000209481,0.000006915041,0.0000140147,0.000437205],"genre_scores_gemma":[0.9865392,0.00001167982,0.009949351,0.00007855935,0.00002010354,0.00003086673,0.00004718001,0.000007819684,0.003315225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01732048,"threshold_uncertainty_score":0.2517902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009538636944781612,"score_gpt":0.3147828677721345,"score_spread":0.3052442308273529,"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."}}