{"id":"W4213161017","doi":"10.2196/32437","title":"Novel Molecular Networks and Regulatory MicroRNAs in Type 2 Diabetes Mellitus: Multiomics Integration and Interactomics Study","year":2022,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"microRNA; In silico; Biology; Computational biology; Gene; Type 2 Diabetes Mellitus; Glycation; Insulin resistance; Gene expression profiling; Bioinformatics; Gene expression; Genetics; Diabetes mellitus; Receptor; 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":[0.0004992047,0.000497331,0.0006552566,0.001759743,0.0003353968,0.000801901,0.0002595091,0.0002363899,0.0006944418],"category_scores_gemma":[0.0006077274,0.0001917183,0.001223154,0.002195891,0.0001667254,0.0005474798,0.0005851815,0.0003600909,0.0001351831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004825072,"about_ca_system_score_gemma":0.0004818178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339463,"about_ca_topic_score_gemma":0.001661798,"domain_scores_codex":[0.9996809,0.00007085208,0.00001959511,0.000129838,0.00005484515,0.00004403449],"domain_scores_gemma":[0.9997157,0.00007649064,0.0001169559,0.00001730991,0.00004025088,0.0000332298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001685422,0.0004940702,0.4171779,0.003207915,0.005817796,0.002270524,0.0008397103,0.02648565,0.369503,0.01043923,0.00554552,0.1565333],"study_design_scores_gemma":[0.00007072991,0.0003122233,0.7466695,0.0002227186,0.002620352,0.001718766,0.0005713129,0.1887352,0.02891934,0.01508625,0.01495038,0.0001232089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096888,0.01774834,0.06008944,0.000873257,0.00008389424,0.0001430376,0.007382187,0.000541051,0.003449924],"genre_scores_gemma":[0.9573938,0.005268033,0.03108489,0.0002140546,0.00005502271,0.0001541678,0.005066772,0.00005673397,0.0007064126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001759743,"threshold_uncertainty_score":0.003500879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005618578709631466,"score_gpt":0.2282694480511849,"score_spread":0.2226508693415535,"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."}}