{"id":"W3119166731","doi":"10.1016/j.eururo.2020.12.037","title":"Quantitative and Qualitative Analysis of Blood-based Liquid Biopsies to Inform Clinical Decision-making in Prostate Cancer","year":2021,"lang":"en","type":"review","venue":"European Urology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Fundación Científica Asociación Española Contra el Cáncer; National Cancer Institute; Fundación Fero; “la Caixa” Foundation","keywords":"Liquid biopsy; Prostate cancer; Medicine; Circulating tumor cell; Precision medicine; Context (archaeology); Biopsy; Biomarker; Personalized medicine; Microvesicles; Prostate; Oncology; Cancer; Pathology; Bioinformatics; Internal medicine; microRNA; Metastasis; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002115974,0.0003371495,0.002930083,0.001531915,0.00004587901,0.00001662167,0.0001640593,0.0001306366,0.0001235878],"category_scores_gemma":[0.002012796,0.000238795,0.0005013262,0.002616749,0.0003652009,0.00003644701,0.0002351709,0.0005495365,0.00002076264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006765683,"about_ca_system_score_gemma":0.0007464545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000416165,"about_ca_topic_score_gemma":0.0001507223,"domain_scores_codex":[0.9954815,0.001852522,0.001363567,0.0006514925,0.0002829614,0.0003679745],"domain_scores_gemma":[0.9948047,0.003872405,0.0004453526,0.0003864994,0.0003204976,0.0001704888],"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":[0.004127459,0.0005561775,0.002582442,0.005285074,0.01219226,0.002529299,0.01032493,0.00009439975,0.000003568307,0.0002204825,0.0002185396,0.9618654],"study_design_scores_gemma":[0.004886423,0.01388542,0.00573845,0.02457436,0.03618966,0.00004310751,0.001976155,0.0001933794,0.000006029609,0.00001797846,0.9115806,0.0009084616],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02618062,0.9715806,0.00003416591,0.0003196303,0.0001002189,0.0009126852,0.0002536934,0.00001679256,0.0006016381],"genre_scores_gemma":[0.00475491,0.993183,0.001165869,0.0003414624,0.00003964312,0.00008043056,0.0002165911,0.00005345631,0.0001646865],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9609569,"threshold_uncertainty_score":0.9737778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.155998028048012,"score_gpt":0.5461625296701861,"score_spread":0.3901645016221741,"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."}}