{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001089399,0.0002358456,0.000264221,0.0005765376,0.0001344917,0.000665415,0.000271971,0.0004305054,0.0005009156],"category_scores_gemma":[0.001288981,0.0001240105,0.0001354089,0.0004481656,0.0007656292,0.0005165703,0.0002360451,0.0004323371,0.00009974238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105199,"about_ca_system_score_gemma":0.0002679954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002859778,"about_ca_topic_score_gemma":0.0004475705,"domain_scores_codex":[0.9997166,0.0001372256,0.00001137221,0.00005683331,0.00005633523,0.00002159038],"domain_scores_gemma":[0.999266,0.0004391925,0.0001386832,0.00004496083,0.00005626743,0.00005494413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001612982,0.0002027228,0.1204797,0.0006339484,0.0001916007,0.0004994312,0.000465462,0.002179954,0.7277685,0.006401809,0.0007896194,0.1387743],"study_design_scores_gemma":[0.00009187064,0.0043872,0.5461772,0.0002559917,0.0005083413,0.003351797,0.001333695,0.02304241,0.3534245,0.03883401,0.0284737,0.0001191968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201091,0.04570236,0.02631908,0.004007597,0.0001293146,0.00004949869,0.0003321768,0.0001037652,0.003247135],"genre_scores_gemma":[0.9823552,0.006717379,0.009353248,0.0006466318,0.00009660952,0.00002146253,0.0001076599,0.00001424894,0.0006876339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001089399,"threshold_uncertainty_score":0.005761325,"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."}}