{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003364919,0.00004994075,0.00003122252,0.000006763033,0.00007793386,0.000005739014,0.00006276472,0.00004167861,0.00002238213],"category_scores_gemma":[0.000006289333,0.00003714824,0.00002244108,0.0000215434,0.00007540103,8.818173e-7,0.00004458222,0.00002433962,0.00001526614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002690225,"about_ca_system_score_gemma":0.0000197916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002553731,"about_ca_topic_score_gemma":0.00000137972,"domain_scores_codex":[0.9997112,0.00001517699,0.00005139297,0.0001159361,0.00002944393,0.0000768902],"domain_scores_gemma":[0.9997678,0.000003649697,0.00002105002,0.0001660892,0.00001787402,0.00002349454],"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":[0.000004585432,0.00001220534,0.0008216743,0.000004814131,0.00000458593,0.000001110061,0.00004401828,0.000003064626,0.981654,0.000005779634,0.01726665,0.0001774595],"study_design_scores_gemma":[0.0001859875,0.00002260555,0.01454245,0.000001011865,0.000006825031,0.00002826232,0.00002224538,0.000008412913,0.8933319,0.00003577748,0.09174991,0.00006463195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911314,0.003996216,0.00009413894,0.000112755,0.00004639516,0.00006886153,0.000004370528,0.000003707956,0.004542177],"genre_scores_gemma":[0.9973188,0.0001951176,0.0001544148,0.0002458571,0.00006886469,0.00000368401,0.0000322921,0.000006884893,0.001974075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08832218,"threshold_uncertainty_score":0.1514861,"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."}}