{"id":"W4379142547","doi":"10.1158/1538-7445.prca2023-b012","title":"Abstract B012: Genomic and epigenomic drivers of double-negative metastatic prostate cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epigenomics; Prostate cancer; PTEN; Androgen receptor; DNA methylation; Cancer research; Epigenome; Biology; Copy number analysis; Epigenetics; Cancer; Genetics; Gene; Genome; PI3K/AKT/mTOR pathway; Copy-number variation; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007105009,0.0002167143,0.0001445997,0.0004537991,0.0001407653,0.0002444749,0.0001436946,0.0001451608,0.001956386],"category_scores_gemma":[0.0001097073,0.0001243345,0.0001491186,0.0002466506,0.0001267043,0.00006803035,0.0001958371,0.0002883859,0.0003211556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056894,"about_ca_system_score_gemma":0.0001577118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071497,"about_ca_topic_score_gemma":0.002644792,"domain_scores_codex":[0.9999236,0.000006484668,0.000003756511,0.00002514559,0.00002863162,0.00001240154],"domain_scores_gemma":[0.9999259,0.000007343785,0.00002886742,0.000006667623,0.000007217069,0.00002406477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002030976,0.00001816629,0.01246276,0.00003422235,0.00002345485,0.0002085969,0.00002564999,0.0001886641,0.9800593,0.0003236567,0.0002581834,0.006194173],"study_design_scores_gemma":[0.00004813265,0.0004107102,0.5476954,0.00002703568,0.0001309298,0.005650834,0.0001528931,0.004900348,0.4229733,0.0007057376,0.01727323,0.0000314764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876557,0.001021079,0.005881976,0.00008383562,0.00001954304,0.00002869323,0.003081715,0.000201333,0.002026189],"genre_scores_gemma":[0.9946533,0.0003390247,0.001546306,0.00004413418,0.000007219887,0.00001538435,0.001969219,0.0000327212,0.00139264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002071497,"threshold_uncertainty_score":0.006544709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417336422761384,"score_gpt":0.4509753376702075,"score_spread":0.309241695394069,"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."}}