{"id":"W6920580168","doi":"10.60692/mwj92-49h66","title":"An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Princess Margaret Cancer Centre","funders":"","keywords":"CpG site; DNA methylation; Prostate cancer; Methylation; Genetic association; Cancer; Epigenetics","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":[0.001692903,0.0007491783,0.001066109,0.002840317,0.0005974621,0.0009181906,0.0004426581,0.000257141,0.002714736],"category_scores_gemma":[0.001756009,0.0002066214,0.001789389,0.002662006,0.0002599363,0.0003109127,0.0008278469,0.0004190578,0.0002500041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004594059,"about_ca_system_score_gemma":0.0008715649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004556289,"about_ca_topic_score_gemma":0.005833096,"domain_scores_codex":[0.9994019,0.0002181556,0.00004046973,0.0001761978,0.0001090572,0.00005415402],"domain_scores_gemma":[0.9992811,0.0003629752,0.0001359255,0.00009134167,0.00006627584,0.00006249543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001729773,0.0003144443,0.6170444,0.0007911393,0.007045637,0.0007313849,0.0003189435,0.01602961,0.2332957,0.002701888,0.002112093,0.117885],"study_design_scores_gemma":[0.0001435736,0.0007736079,0.8503122,0.00008986911,0.004043466,0.0007784963,0.0003766906,0.1100436,0.02215363,0.005294739,0.005925638,0.00006458366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916757,0.003761745,0.0670602,0.0008358338,0.00005079429,0.0001302478,0.008756511,0.0005016134,0.002146096],"genre_scores_gemma":[0.9672327,0.0006027726,0.02764342,0.0001354105,0.00003254154,0.00006101638,0.0037395,0.00003953899,0.0005131391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004556289,"threshold_uncertainty_score":0.009081662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799056335746151,"score_gpt":0.2841417731625162,"score_spread":0.2661512098050546,"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."}}