{"id":"W2551540360","doi":"10.1139/bcb-2016-0110","title":"Potential regulatory mechanisms of lncRNA in diabetes and its complications","year":2016,"lang":"en","type":"review","venue":"Biochemistry and Cell Biology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of South China","keywords":"Diabetes mellitus; Biology; Transcription factor; Long non-coding RNA; Computational biology; Pathological; Transcription (linguistics); Bioinformatics; Medicine; RNA; Gene; Genetics; Internal medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003416088,0.0005813467,0.0007866881,0.001345601,0.000290455,0.0007507292,0.0005797244,0.0006933708,0.002561504],"category_scores_gemma":[0.0004025459,0.0001561249,0.0003841324,0.001303807,0.0003642295,0.0009404756,0.0006328461,0.0009675878,0.0009475215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004872808,"about_ca_system_score_gemma":0.001020442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006814172,"about_ca_topic_score_gemma":0.001132846,"domain_scores_codex":[0.9998959,0.00001627483,0.00001884606,0.00002414545,0.00003220236,0.0000126161],"domain_scores_gemma":[0.9998951,0.00004211572,0.00001768835,0.000003428877,0.00002825254,0.00001345653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008727761,0.00005473081,0.0004601921,0.01767448,0.0001071097,0.0004750934,0.000148111,0.0004427965,0.005238167,0.008468274,0.02152265,0.9453211],"study_design_scores_gemma":[0.00001409361,0.00008227402,0.001459746,0.003431668,0.0001550878,0.002469834,0.0001326336,0.0001483315,0.001692269,0.004877164,0.9855068,0.00003009704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001896871,0.9981035,0.0001937793,0.0003292618,0.0001686206,0.000002967051,0.00002068896,0.000009054609,0.0009824838],"genre_scores_gemma":[0.0009420466,0.9980628,0.0002042541,0.0001405487,0.0001228262,0.000005494183,0.00002705593,0.000001262819,0.0004936943],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002561504,"threshold_uncertainty_score":0.008569121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219389437876748,"score_gpt":0.2794684636940925,"score_spread":0.267274569315325,"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."}}