{"id":"W2069266498","doi":"10.1016/j.cell.2008.10.034","title":"MicroRNAs: The Bench and Beyond","year":2008,"lang":"en","type":"article","venue":"Cell","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; microRNA; Bench to bedside; Computational 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003852783,0.0008266864,0.002579873,0.001642556,0.001842071,0.005987435,0.001295679,0.006689812,0.005315777],"category_scores_gemma":[0.002674967,0.0003952422,0.0005633053,0.001104334,0.009934622,0.01453072,0.003140247,0.007679264,0.001605624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862823,"about_ca_system_score_gemma":0.002231559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007002148,"about_ca_topic_score_gemma":0.0009651033,"domain_scores_codex":[0.9986966,0.0005229043,0.00007715915,0.0001995393,0.0003474274,0.0001564388],"domain_scores_gemma":[0.9973511,0.001701048,0.0001151883,0.000220217,0.0002788133,0.0003336496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005836171,0.0001078418,0.001874126,0.001436063,0.00009812322,0.001250301,0.001797198,0.0008065191,0.01290979,0.6622447,0.08698911,0.2299026],"study_design_scores_gemma":[0.00006067533,0.0001839309,0.001090158,0.0006632564,0.00004003684,0.0009134226,0.002278562,0.0009564556,0.002289035,0.4874211,0.5040218,0.00008161893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006615377,0.8094879,0.01431682,0.1399453,0.009693411,0.00001879374,0.0001392483,0.0002045499,0.01957854],"genre_scores_gemma":[0.2164746,0.6495564,0.01194317,0.07396699,0.03177464,0.0001144869,0.0001669716,0.000169042,0.01583364],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006689812,"threshold_uncertainty_score":0.02037573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006781537993833235,"score_gpt":0.2040946677682357,"score_spread":0.1973131297744024,"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."}}