{"id":"W634638484","doi":"10.1007/978-1-4419-7823-3","title":"Regulation of microRNAs","year":2010,"lang":"en","type":"book","venue":"Advances in experimental medicine and biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Genetics; Division of Molecular and Cellular Biosciences; Medical Research Council; Harvard Stem Cell Institute; University of California, San Diego","keywords":"microRNA; Computer science; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004794953,0.0007881314,0.0005433619,0.0006066189,0.0005049122,0.001649756,0.0006509434,0.0008980189,0.004639796],"category_scores_gemma":[0.0003880448,0.0004368343,0.0006718318,0.0004061574,0.0007670899,0.0010767,0.0009326294,0.001615657,0.005187963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007459793,"about_ca_system_score_gemma":0.0003552367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001865257,"about_ca_topic_score_gemma":0.0003197439,"domain_scores_codex":[0.9994963,0.00009260275,0.00002224332,0.0001622412,0.0001719125,0.00005454009],"domain_scores_gemma":[0.9999042,0.00002498318,0.00001544935,0.00001689927,0.00001930359,0.00001913241],"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":[0.0002009118,0.00006108369,0.0002847154,0.0005950179,0.00004509341,0.0006042616,0.0002515935,0.0008287847,0.633953,0.1066154,0.02747582,0.2290842],"study_design_scores_gemma":[0.0000272965,0.0001643662,0.001367933,0.0001021034,0.00002624853,0.001639795,0.00007710452,0.001676008,0.3148015,0.02665768,0.653423,0.00003708385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05084674,0.4251544,0.1345173,0.004778129,0.008814916,0.0002547428,0.0008604566,0.002049798,0.3727235],"genre_scores_gemma":[0.3855726,0.1578115,0.06306067,0.003893247,0.002449698,0.0006087488,0.002063924,0.0005567419,0.383983],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004639796,"threshold_uncertainty_score":0.01552171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228084410033731,"score_gpt":0.3179286105493451,"score_spread":0.3056477664490078,"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."}}