{"id":"W2038707074","doi":"10.1155/2012/839837","title":"MicroRNA Response Elements-Mediated miRNA-miRNA Interactions in Prostate Cancer","year":2012,"lang":"en","type":"article","venue":"Advances in Bioinformatics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"microRNA; Computational biology; Prostate cancer; Biology; Gene regulatory network; Regulation of gene expression; Gene silencing; Suppressor; Function (biology); Metastasis; Cancer; Gene expression; Bioinformatics; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002635369,0.0002007194,0.0002553478,0.000526996,0.0003118184,0.0004258821,0.0001796298,0.0002191092,0.0006267907],"category_scores_gemma":[0.0004623798,0.0002257969,0.0004005002,0.0005079395,0.0001629869,0.0002912256,0.0002589737,0.0002860558,0.0002461742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004003702,"about_ca_system_score_gemma":0.0003128475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818905,"about_ca_topic_score_gemma":0.002494337,"domain_scores_codex":[0.9998211,0.00005198323,0.000008769461,0.00005389285,0.00004293939,0.00002124872],"domain_scores_gemma":[0.9998732,0.00005314171,0.00004292783,0.000007605975,0.00001288973,0.00001028643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008955376,0.0001666222,0.05050849,0.0007350417,0.0003415461,0.0009859316,0.0003985264,0.1015973,0.7412818,0.01993429,0.001123212,0.08203167],"study_design_scores_gemma":[0.00006468222,0.0003595728,0.1687128,0.00007553016,0.0004690358,0.001925789,0.0002704003,0.4787867,0.2884417,0.04007044,0.02069813,0.0001252319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080415,0.006067967,0.0780042,0.0004258488,0.0000254169,0.00004087554,0.001156993,0.0005616173,0.005675475],"genre_scores_gemma":[0.9841197,0.001348651,0.01284744,0.00005480972,0.000006294806,0.00001928238,0.0006641343,0.00001648248,0.0009232115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001818905,"threshold_uncertainty_score":0.003616631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008871635227832322,"score_gpt":0.3060094061279717,"score_spread":0.2971377709001394,"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."}}