{"id":"W2049455641","doi":"10.1002/iub.399","title":"MicroRNAs and other small silencing RNAs in cancer","year":2010,"lang":"en","type":"article","venue":"IUBMB Life","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"microRNA; Gene silencing; Cancer; Biology; RNA; Function (biology); Computational biology; Small nucleolar RNA; RNA silencing; Long non-coding RNA; Small RNA; Non-coding RNA; RNA interference; Bioinformatics; Cell biology; 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":[0.00008523459,0.0000824356,0.00006868545,0.00002886693,0.00002309874,0.000015153,0.00007243345,0.0001089964,0.00007092152],"category_scores_gemma":[0.00005853032,0.00008201363,0.00002358101,0.00003918249,0.00004217794,0.000001773848,0.0000477273,0.00007785385,0.00000681541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007414578,"about_ca_system_score_gemma":0.00007336456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000244635,"about_ca_topic_score_gemma":0.001144166,"domain_scores_codex":[0.9994982,0.00001686273,0.0001096298,0.00020138,0.00003459125,0.0001393347],"domain_scores_gemma":[0.9996971,0.000005126406,0.0000405256,0.0001700727,0.00002229474,0.00006483329],"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":[0.00001514008,0.00001669368,0.03591695,0.00001295856,0.00001008122,7.770052e-7,0.00004119676,0.00001612096,0.9618189,0.00002836399,0.0005428568,0.001580003],"study_design_scores_gemma":[0.0005831292,0.00002067588,0.1094193,0.00002316154,0.00001047921,0.00000705216,0.00002916746,0.00007611475,0.8141606,0.00004791146,0.07543297,0.0001893849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976292,0.001446894,0.00006823112,0.0001310625,0.0001597548,0.0000994548,0.0000140914,0.000006909532,0.0004444387],"genre_scores_gemma":[0.9984984,0.00003468086,0.0003890165,0.0005551032,0.0002332691,0.0000180223,0.000008571403,0.00001745611,0.0002454735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1476582,"threshold_uncertainty_score":0.3344419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411303736812423,"score_gpt":0.2635704306029641,"score_spread":0.2494573932348399,"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."}}