{"id":"W2257967556","doi":"10.1038/nchembio.1953","title":"MicroRNA-lipid one-upmanship","year":2015,"lang":"en","type":"letter","venue":"Nature Chemical Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"microRNA; Computational biology; Chemistry; Biology; Cell biology; Biochemistry; 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":[0.002463756,0.0009546812,0.000908079,0.0004146277,0.002117586,0.002690935,0.001285648,0.01582043,0.006174151],"category_scores_gemma":[0.008005891,0.0004816596,0.001169354,0.0002314601,0.003434849,0.002568068,0.002652903,0.01722911,0.003702481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918226,"about_ca_system_score_gemma":0.001131969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004350799,"about_ca_topic_score_gemma":0.0006281267,"domain_scores_codex":[0.9984676,0.0003181607,0.0001322389,0.0003162254,0.0005147167,0.0002510491],"domain_scores_gemma":[0.9982092,0.0009245815,0.0001545794,0.0002022043,0.0001482323,0.0003611764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001203635,0.0002509422,0.002029866,0.0002606547,0.0001470092,0.01781828,0.0002955166,0.0004764257,0.01776187,0.1533885,0.7165253,0.08984207],"study_design_scores_gemma":[0.000751473,0.0004482876,0.001243623,0.0001408501,0.0001056051,0.00816034,0.0002136024,0.00290995,0.02703841,0.1663813,0.7925043,0.0001022019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006733681,0.01102454,0.003674105,0.9018852,0.05584871,0.00006081521,0.0001651128,0.0002625607,0.02034529],"genre_scores_gemma":[0.198366,0.009766893,0.004243743,0.6800296,0.06939206,0.0003470468,0.0001821084,0.0001487086,0.0375239],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01582043,"threshold_uncertainty_score":0.02065456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147016033491248,"score_gpt":0.2695183633184003,"score_spread":0.2548167599692756,"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."}}