{"id":"W2072470582","doi":"10.1016/j.molcel.2012.08.004","title":"LIN28 Binds Messenger RNAs at GGAGA Motifs and Regulates Splicing Factor Abundance","year":2012,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":278,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; University of California, San Diego; National Science Foundation","keywords":"LIN28; Biology; microRNA; RNA-binding protein; RNA splicing; Reprogramming; Cold-shock domain; Cell biology; Exoribonuclease; Messenger RNA; Alternative splicing; Embryonic stem cell; Gene knockdown; Translation (biology); Somatic cell; Induced pluripotent stem cell; RNA; Genetics; Gene","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":[0.0001850371,0.0002142515,0.0001698478,0.00005393105,0.0001452883,0.00004273111,0.0001673635,0.0001743495,0.00005538842],"category_scores_gemma":[0.00004932216,0.0001994738,0.00009173827,0.00008800476,0.00008677605,0.000009464973,0.000277309,0.0001398411,0.00004661806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002877073,"about_ca_system_score_gemma":0.00002653806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002775894,"about_ca_topic_score_gemma":0.000008975817,"domain_scores_codex":[0.9985597,0.00007274438,0.0001741679,0.0003685715,0.0002105752,0.0006142872],"domain_scores_gemma":[0.9991404,0.00001473577,0.00006255098,0.0004278271,0.00005321281,0.0003012591],"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":[0.00003167098,0.00004127314,0.006108595,0.00004126595,0.00002882135,0.00001214413,0.00007252401,0.00002727627,0.991877,0.00001907388,0.0005718513,0.001168504],"study_design_scores_gemma":[0.0003902615,0.00009909832,0.004788557,0.00001383039,0.00001167533,0.00001768487,0.00002861665,0.0001793847,0.968133,0.000008074479,0.02608785,0.0002420129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898758,0.007320626,0.0008207075,0.0001064436,0.00008792428,0.0001641019,0.00001096267,0.00001770389,0.001595739],"genre_scores_gemma":[0.9903322,0.000311432,0.0006660423,0.0002259003,0.0001612887,0.00001190848,0.00005026913,0.00004794252,0.008193027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.025516,"threshold_uncertainty_score":0.8134306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008842755869137074,"score_gpt":0.241212301867819,"score_spread":0.2323695459986819,"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."}}