{"id":"W2774426427","doi":"10.1016/j.urolonc.2017.11.017","title":"Predicting therapy response and resistance in metastatic prostate cancer with circulating tumor DNA","year":2017,"lang":"en","type":"review","venue":"Urologic Oncology Seminars and Original Investigations","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prostate cancer; Androgen receptor; Medicine; Precision medicine; Oncology; Liquid biopsy; Circulating tumor cell; Internal medicine; Disease; Cell-free fetal DNA; Bioinformatics; Cancer; Cancer research; Metastasis; Biology; Pathology","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":[0.000660752,0.0003690146,0.0008284186,0.0001273673,0.0003175963,0.00007871685,0.0001910731,0.0002349879,0.000004449982],"category_scores_gemma":[0.0004657996,0.0002913533,0.00006574838,0.0001193132,0.0006908723,0.000010667,0.0001100658,0.0003521476,7.302954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008614843,"about_ca_system_score_gemma":0.001484111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001037098,"about_ca_topic_score_gemma":0.001207165,"domain_scores_codex":[0.9981466,0.0003173155,0.0004365371,0.0006658298,0.0000906144,0.0003430822],"domain_scores_gemma":[0.9984824,0.000364678,0.0005932936,0.0003515407,0.0000528073,0.000155267],"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":[0.004238831,0.0005657101,0.2116305,0.008230326,0.001537836,0.00236744,0.002911497,0.000206153,0.001011745,0.003514194,0.00295673,0.760829],"study_design_scores_gemma":[0.0006085201,0.0007911016,0.0003067467,0.00139245,0.000247434,0.0002097916,0.00005159253,0.00001599262,0.00001400572,0.0005348169,0.9955028,0.00032469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1877761,0.8107785,0.000004005729,0.0003410391,0.0000839364,0.0006521856,0.0001462027,0.00000913212,0.0002088273],"genre_scores_gemma":[0.0008843508,0.9889866,0.008657573,0.0003394227,0.0001257432,0.0005441214,0.000104132,0.00003944951,0.0003186146],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9925461,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05705390480131881,"score_gpt":0.3604587127312113,"score_spread":0.3034048079298926,"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."}}