{"id":"W1999990777","doi":"10.3389/fgene.2012.00023","title":"Genomic “Dark Matter” in Prostate Cancer: Exploring the Clinical Utility of ncRNA as Biomarkers","year":2012,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Genome British Columbia","funders":"","keywords":"Prostate cancer; Computational biology; Non-coding RNA; Biology; Biomarker; Cancer; Bioinformatics; Medicine; microRNA; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0010105,0.0001689634,0.0002413968,0.000112936,0.0000539741,0.00001043912,0.0003940976,0.0001544032,0.00002647343],"category_scores_gemma":[0.00007693251,0.0001538782,0.0001121965,0.0002510631,0.0002263331,0.00000587034,0.0003626483,0.0002853843,0.000005118782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006775911,"about_ca_system_score_gemma":0.0002202721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001846678,"about_ca_topic_score_gemma":0.0001056428,"domain_scores_codex":[0.9981125,0.0002611139,0.0005143604,0.000352166,0.0002183129,0.0005415193],"domain_scores_gemma":[0.9991268,0.00001428606,0.0001158537,0.0005751932,0.00005189914,0.0001159962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005450509,0.0001900679,0.8302564,0.00005418699,0.0001706105,0.000004082054,0.0004880942,0.0004209229,0.1098774,0.000005163031,0.01349257,0.04449546],"study_design_scores_gemma":[0.002402642,0.0004620186,0.5742702,0.00009999301,0.00006051722,0.00001124055,0.0010907,0.0009829048,0.367203,0.0004949524,0.05234557,0.0005762276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821769,0.01363152,0.001433176,0.0001748476,0.001460726,0.000526936,0.00002700798,0.000004103567,0.0005647821],"genre_scores_gemma":[0.9877955,0.008851144,0.002750746,0.000134605,0.0001412733,0.0001230582,0.00001947306,0.00003756778,0.0001465992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2573256,"threshold_uncertainty_score":0.6274971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03171886305653875,"score_gpt":0.3219325964285936,"score_spread":0.2902137333720548,"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."}}