{"id":"W1963921985","doi":"10.1155/jbb/2006/69616","title":"MicroRNAs in Gene Regulation: When the Smallest Governs It All","year":2006,"lang":"en","type":"article","venue":"BioMed Research International","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health Canada; Arthritis Society","keywords":"Drosha; Dicer; microRNA; Biology; Biogenesis; Gene; Computational biology; Regulation of gene expression; Genetics; Ribonuclease III; Gene expression; Genome; Argonaute; Gene silencing; RNA; RNA interference","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":[0.0007819454,0.0001069294,0.00006743901,0.0001669208,0.0000847623,0.00008501533,0.0005357403,0.0001194234,0.0004301587],"category_scores_gemma":[0.0001347378,0.00008798741,0.00006740861,0.0001628195,0.0001974721,0.000007079029,0.0002488293,0.0001359994,0.00008105175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633202,"about_ca_system_score_gemma":0.0001246836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003744446,"about_ca_topic_score_gemma":0.000480359,"domain_scores_codex":[0.9984232,0.0001561065,0.0002605839,0.0003334976,0.0005174703,0.0003090962],"domain_scores_gemma":[0.9992288,0.00004067686,0.00006504358,0.0003440182,0.0002747633,0.00004674812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008123768,0.0000875818,0.00359182,0.000004495741,0.00003884566,0.000005579687,0.00002554634,0.000100247,0.8421586,0.0006780644,0.1528805,0.0003474563],"study_design_scores_gemma":[0.0007666487,0.00003865856,0.1356163,0.00001894712,0.000003573585,0.00002200816,0.00003764604,0.0003406806,0.2590995,0.001590349,0.6023245,0.0001412187],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717523,0.0009118275,0.000588121,0.01604343,0.000599934,0.0004754884,0.0001235043,0.00001260724,0.009492803],"genre_scores_gemma":[0.9872409,0.0000459561,0.0005840014,0.0001525563,0.00100948,0.00006151452,0.001130779,0.00001869839,0.009756128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5830592,"threshold_uncertainty_score":0.4709936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04519597636089989,"score_gpt":0.3429966309976756,"score_spread":0.2978006546367757,"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."}}