{"id":"W2807602500","doi":"10.1093/database/bay044","title":"CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases","year":2018,"lang":"en","type":"article","venue":"Database","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Computer science; Database; Circular RNA; Mechanism (biology); Disease; Computational biology; Bioinformatics; Biology; Gene; microRNA; Medicine; Genetics; Pathology","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":[0.0008687141,0.001975762,0.002814672,0.008032872,0.001410208,0.002194209,0.001906961,0.002097136,0.03642344],"category_scores_gemma":[0.003430365,0.0008330092,0.001229274,0.006816032,0.0004135837,0.001042583,0.002025567,0.00141895,0.02577698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006398744,"about_ca_system_score_gemma":0.002373064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994131,"about_ca_topic_score_gemma":0.003126731,"domain_scores_codex":[0.9991981,0.00008256668,0.0001446039,0.0002770443,0.0001955812,0.0001020418],"domain_scores_gemma":[0.9983774,0.0004650519,0.0004429489,0.000261017,0.0002073311,0.0002461207],"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":[0.003219857,0.0002262316,0.01763876,0.02381071,0.0008924484,0.003674465,0.0005019279,0.001029891,0.1379656,0.007232104,0.6941361,0.1096719],"study_design_scores_gemma":[0.0004656997,0.0002646488,0.02668333,0.001213841,0.0007720541,0.00609831,0.0001936947,0.003086014,0.03167028,0.003476617,0.925849,0.0002264382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01907248,0.0169914,0.01686971,0.0004467336,0.0004699245,0.0004097943,0.9088358,0.02250406,0.01440022],"genre_scores_gemma":[0.02217652,0.003466974,0.0231977,0.0003041049,0.0001548374,0.0004033499,0.9449851,0.001647026,0.003664494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03642344,"threshold_uncertainty_score":0.1218486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495526027209911,"score_gpt":0.2832629041751686,"score_spread":0.2683076439030695,"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."}}