{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001577957,0.0009100131,0.001589805,0.002807511,0.000329063,0.001549336,0.0009058452,0.0018314,0.002449319],"category_scores_gemma":[0.001770848,0.0002889087,0.0006599476,0.002770273,0.0009118923,0.002553287,0.001015659,0.0025232,0.001478444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008426941,"about_ca_system_score_gemma":0.001526617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009826884,"about_ca_topic_score_gemma":0.001330615,"domain_scores_codex":[0.9994631,0.0001311483,0.00007157856,0.00006620495,0.0002177397,0.00005016871],"domain_scores_gemma":[0.9987088,0.000673673,0.0001450742,0.00003448365,0.0003388633,0.00009908686],"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":[0.00006789897,0.00006334599,0.0004123349,0.01231004,0.0001000349,0.0002076823,0.0000877468,0.0002637904,0.001819914,0.006389719,0.02749019,0.9507874],"study_design_scores_gemma":[0.00001325513,0.0001252494,0.001029744,0.004768352,0.0001188374,0.001496823,0.0001176572,0.0001572227,0.000649031,0.005613956,0.9858746,0.00003526115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006114451,0.9985459,0.0001644999,0.0006342535,0.0002099159,0.00000259707,0.000009859277,0.000006712091,0.0003651177],"genre_scores_gemma":[0.000630386,0.9980595,0.0002996333,0.0003819769,0.0003234767,0.000004286964,0.00001872283,0.000001472117,0.0002805567],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002807511,"threshold_uncertainty_score":0.008345127,"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."}}