{"id":"W2137945458","doi":"10.1186/1471-2164-13-353","title":"Comprehensive microRNA profiling in B-cells of human centenarians by massively parallel sequencing","year":2012,"lang":"en","type":"article","venue":"BMC Genomics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"National Institute of General Medical Sciences; National Institute on Aging","keywords":"Biology; microRNA; Centenarian; Longevity; Gene expression profiling; Gene; Genetics; Deep sequencing; Gene expression; Computational biology; Genome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000369432,0.0003195742,0.0003811433,0.001087453,0.0004155072,0.0005999085,0.0002032104,0.0003677848,0.0006207988],"category_scores_gemma":[0.0005839115,0.0002169685,0.0002941517,0.00057153,0.0002490185,0.00009927989,0.00037617,0.0002572011,0.0004359122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469763,"about_ca_system_score_gemma":0.0001502307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242536,"about_ca_topic_score_gemma":0.00137275,"domain_scores_codex":[0.9998093,0.00002162522,0.00001950008,0.00006212908,0.00005943807,0.00002797414],"domain_scores_gemma":[0.9997894,0.0000334227,0.00004744755,0.0000327951,0.00007087397,0.00002602903],"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":[0.00127399,0.00003450432,0.0368867,0.0001436405,0.0001012461,0.00038797,0.0004241957,0.0001635456,0.9468418,0.00009423051,0.0002209712,0.0134271],"study_design_scores_gemma":[0.0000676566,0.001001357,0.7549677,0.00008168683,0.0004510825,0.004477894,0.0007355735,0.002117425,0.2254803,0.000318085,0.01023948,0.00006170975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936976,0.002097663,0.002333387,0.00003335679,0.0000188597,0.00003324326,0.001042488,0.00006339686,0.0006801399],"genre_scores_gemma":[0.988583,0.001044795,0.006566298,0.00009780555,0.00001829371,0.00008552877,0.002465259,0.00004363793,0.001095406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001242536,"threshold_uncertainty_score":0.002470553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664868172453647,"score_gpt":0.2564209405504927,"score_spread":0.2297722588259562,"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."}}