{"id":"W2288343676","doi":"10.1101/gad.276931.115","title":"Diverse and pervasive subcellular distributions for both coding and long noncoding RNAs","year":2016,"lang":"en","type":"article","venue":"Genes & Development","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biology; Subcellular localization; Gene; RNA; In situ hybridization; Cell biology; Long non-coding RNA; Embryo; Messenger RNA; Non-coding RNA; Genetics; Computational biology","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":[0.0002114795,0.0001381248,0.0001105777,0.0000428168,0.0002544487,0.00003341463,0.00008991708,0.0001031322,0.00001390643],"category_scores_gemma":[0.00006141459,0.0001143495,0.00003680159,0.00004587748,0.00006975787,0.00000532556,0.0002532839,0.00003688431,0.000003454228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007007526,"about_ca_system_score_gemma":0.0001688699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005130195,"about_ca_topic_score_gemma":0.00006948307,"domain_scores_codex":[0.998994,0.00002401415,0.0001463543,0.0003747976,0.0001228275,0.0003380199],"domain_scores_gemma":[0.9995626,0.00002028691,0.00004255915,0.000148049,0.0000900005,0.0001364713],"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":[0.00004920671,0.00001279014,0.0007665196,0.00002981083,0.0000793556,0.000007634659,0.00006627043,0.000001759047,0.923557,0.0002755965,0.0002312584,0.07492281],"study_design_scores_gemma":[0.0009117214,0.00009083789,0.002043897,0.00004890576,0.00002063922,0.00002745735,0.0001134829,0.00002158486,0.9361023,0.00006153031,0.06033391,0.0002236765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5413524,0.002297491,0.4555618,0.0002226616,0.000103771,0.0003626329,0.00004743128,0.00001121842,0.00004059285],"genre_scores_gemma":[0.9903452,0.002640657,0.005890205,0.00005467796,0.0000965806,0.0001119049,0.0001116432,0.00002438905,0.0007247467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4496716,"threshold_uncertainty_score":0.4663037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827698338571847,"score_gpt":0.2646122552299788,"score_spread":0.2463352718442604,"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."}}