{"id":"W3212268582","doi":"10.1016/j.euo.2021.10.005","title":"Tissue- and Blood-derived Genomic Biomarkers for Metastatic Hormone-sensitive Prostate Cancer: A Systematic Review","year":2021,"lang":"en","type":"review","venue":"European Urology Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Janssen Pharmaceuticals; National Cancer Institute; National Institutes of Health; RefleXion Medical; Ipsen; Stand Up To Cancer; Ferring Pharmaceuticals; Prostate Cancer Foundation; AstraZeneca; Movember Foundation; Merck; Bayer; Kom op tegen Kanker; Astellas Pharma US; Pfizer","keywords":"Medicine; Disease; Biomarker; Prostate cancer; Oncology; Clinical trial; Internal medicine; Cancer; Bioinformatics; Biology; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001637208,0.0007273118,0.006699183,0.0003231938,0.0001625225,0.00002578828,0.000231844,0.0002296263,0.00005146519],"category_scores_gemma":[0.0006198614,0.0005133933,0.0005414188,0.0003497966,0.000515079,0.00003717876,0.0002875339,0.0006136607,0.000109741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000354922,"about_ca_system_score_gemma":0.001546221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001406378,"about_ca_topic_score_gemma":0.000009500768,"domain_scores_codex":[0.9929529,0.003643535,0.001334933,0.001096918,0.0001862283,0.000785462],"domain_scores_gemma":[0.9967057,0.001140077,0.0008733209,0.0006321851,0.0003044581,0.000344221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002335828,0.0002224737,0.000001031558,0.8031119,0.008713188,0.006384126,0.0002163371,5.663214e-8,0.0000886227,0.00002180916,0.003317447,0.1776894],"study_design_scores_gemma":[0.003618199,0.00352535,0.000007728571,0.1395768,0.06298455,0.005358751,0.00005827371,0.000002529797,0.000007439041,0.000004896067,0.7843922,0.0004632965],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004780631,0.9843089,0.00001775976,0.001265629,0.0002504871,0.01282314,0.0003420266,0.00007400984,0.0008702218],"genre_scores_gemma":[0.00001276513,0.9920997,0.0004947902,0.001458535,0.0001650826,0.002304547,0.0009298453,0.0002069856,0.002327741],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7810747,"threshold_uncertainty_score":0.9997318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06133329220559403,"score_gpt":0.3943840527493043,"score_spread":0.3330507605437103,"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."}}