{"id":"W1990685683","doi":"10.1158/2159-8290.cd-15-0230","title":"miRSNP-Based Approach Identifies a miRNA That Regulates Prostate-Specific Antigen in an Allele-Specific Manner","year":2015,"lang":"en","type":"letter","venue":"Cancer Discovery","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"microRNA; Allele; Biology; Gene; Computational biology; Genetics; SNP; Genetic variants; Prostate-specific antigen; Single-nucleotide polymorphism; Prostate cancer; Cancer; Genotype","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":[0.000848645,0.0005955129,0.0006347434,0.0004245824,0.0005290194,0.0009890539,0.0006782027,0.004187015,0.004345719],"category_scores_gemma":[0.001642705,0.0002936429,0.000470164,0.0001980478,0.0007432324,0.000354307,0.0003937687,0.00527448,0.003836625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009692411,"about_ca_system_score_gemma":0.00030243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008779,"about_ca_topic_score_gemma":0.0006386281,"domain_scores_codex":[0.9992458,0.0002079713,0.00006119927,0.0001368597,0.0002557439,0.00009245001],"domain_scores_gemma":[0.9994532,0.0002903653,0.00004049613,0.00006011179,0.00008891964,0.00006683698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003063615,0.001035843,0.01432877,0.000909554,0.0002865545,0.0386288,0.0003069696,0.001368954,0.3256472,0.01932738,0.3400702,0.2550261],"study_design_scores_gemma":[0.000826337,0.002115435,0.01160143,0.0001786745,0.000248345,0.05585595,0.0002356042,0.01569412,0.3287184,0.01388922,0.5705202,0.000116307],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1951067,0.02556175,0.04474195,0.5704079,0.04699888,0.0009887777,0.001846383,0.003085402,0.1112622],"genre_scores_gemma":[0.649042,0.009378886,0.03344228,0.2165242,0.01863213,0.0008606664,0.001323308,0.0002812283,0.07051545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004345719,"threshold_uncertainty_score":0.01453787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536278602487544,"score_gpt":0.2646317919672845,"score_spread":0.2292690059424091,"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."}}