{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002050469,0.0004526373,0.0003186541,0.0001013692,0.0003194827,0.0001068292,0.0005870064,0.0001308799,0.0003018308],"category_scores_gemma":[0.0008246255,0.0004424157,0.0001849486,0.000270431,0.0004284086,0.00004410298,0.0003351453,0.00009893424,0.0000407552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007291872,"about_ca_system_score_gemma":0.0005290095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000547698,"about_ca_topic_score_gemma":0.0001168414,"domain_scores_codex":[0.9972718,0.0001379051,0.0003804579,0.001084352,0.0004362991,0.0006891898],"domain_scores_gemma":[0.9972011,0.00004819017,0.0002164674,0.001566108,0.0004241219,0.0005440057],"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":[0.00189546,0.002079661,0.01066139,0.0001479084,0.001103619,0.0003863567,0.00006351616,0.00001086945,0.9152968,0.0001877976,0.06760307,0.0005635393],"study_design_scores_gemma":[0.01958384,0.003447691,0.03794043,0.0005920319,0.002503189,0.0002170825,0.0006236264,0.001465072,0.7752742,0.0001582188,0.1542642,0.003930495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371914,0.002483832,0.01922327,0.00009080095,0.0003195855,0.001624617,0.03857033,0.0002018254,0.0002943329],"genre_scores_gemma":[0.9006192,0.00004959019,0.0008266128,0.0008870713,0.0004372718,0.0003483634,0.09648461,0.0001211501,0.0002261182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400227,"threshold_uncertainty_score":0.9998028,"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."}}