{"id":"W2346316361","doi":"10.4137/bic.s31802","title":"The Present and Future of Biomarkers in Prostate Cancer: Proteomics, Genomics, and Immunology Advancements","year":2016,"lang":"en","type":"review","venue":"Biomarkers in Cancer","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Research in Immunology and Cancer; Université de Montréal; Hôpital Notre-Dame","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Prostate cancer; Genomics; Biomarker discovery; Cancer; Computational biology; Disease; Immunotherapy; Medicine; Biology; Internal medicine; Genome","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005179396,0.0004616144,0.001324316,0.0004073516,0.00008813138,0.00002533748,0.0002231458,0.0002947765,0.00003804401],"category_scores_gemma":[0.00001943872,0.0002569253,0.0001335143,0.0004183034,0.0008208438,0.00007749316,0.0002525168,0.0003360354,0.000001416428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362471,"about_ca_system_score_gemma":0.001343689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000975513,"about_ca_topic_score_gemma":0.0004424858,"domain_scores_codex":[0.9974101,0.0002113633,0.0008051918,0.0006833495,0.0002463259,0.000643655],"domain_scores_gemma":[0.9987471,0.0001759593,0.0004247908,0.0004427245,0.00008467268,0.0001247201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001452222,0.00006178885,0.004608698,0.007510336,0.001965686,0.00004699633,0.0001373541,4.04861e-8,0.00009386096,0.00001154499,0.0006401429,0.9834713],"study_design_scores_gemma":[0.003580062,0.0001779078,0.001407557,0.01391983,0.000224059,0.00002207413,0.0001449488,0.000003575347,0.0001106706,0.00004734962,0.9800908,0.0002711721],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001578764,0.9898268,3.5908e-7,0.002382938,0.0006176744,0.005011529,0.0004083099,0.00001065848,0.0001629749],"genre_scores_gemma":[0.00004533251,0.9963242,0.0001168616,0.00001554377,0.00027443,0.002590444,0.00004231434,0.00006447087,0.0005263502],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9832001,"threshold_uncertainty_score":0.9999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068154729680889,"score_gpt":0.3717864615792927,"score_spread":0.3411049142824838,"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."}}