{"id":"W4361954791","doi":"10.1158/1078-0432.c.6530568.v1","title":"Data from &lt;i&gt;BRCA2&lt;/i&gt;, &lt;i&gt;ATM&lt;/i&gt;, and &lt;i&gt;CDK12&lt;/i&gt; Defects Differentially Shape Prostate Tumor Driver Genomics and Clinical Aggression","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of Calgary; Spinal Cord Injury BC; University of British Columbia","funders":"Canadian Institutes of Health Research; Prostate Cancer Foundation; BC Cancer Foundation; Jane ja Aatos Erkon Säätiö; Prostate Cancer Canada; Movember Foundation","keywords":"PTEN; Cancer research; Biology; Prostate cancer; Context (archaeology); Genome instability; Molecular biology; Mutation; Cancer; DNA damage; Genetics; Gene; DNA; Apoptosis; PI3K/AKT/mTOR pathway","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":[0.001253267,0.0003536283,0.0004416895,0.001418496,0.0005168937,0.0005941574,0.0004082729,0.0004579085,0.02203564],"category_scores_gemma":[0.003759319,0.0002512558,0.000456942,0.001735612,0.0005319714,0.000307668,0.0004575322,0.0006069341,0.005148743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421487,"about_ca_system_score_gemma":0.0007734825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495578,"about_ca_topic_score_gemma":0.005380534,"domain_scores_codex":[0.9987895,0.000162286,0.0002035762,0.0003308664,0.0003706017,0.0001430766],"domain_scores_gemma":[0.9957795,0.001450363,0.0007450291,0.001062332,0.0005379575,0.0004247602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009809592,0.0008767968,0.4894864,0.001367515,0.0007374783,0.002787592,0.001000336,0.002851644,0.2741595,0.001787321,0.08115315,0.1339826],"study_design_scores_gemma":[0.000452428,0.001327099,0.7265885,0.0001630483,0.0004029838,0.004670922,0.0004845186,0.001783321,0.1162882,0.001254557,0.1464827,0.0001016349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5306686,0.0004048952,0.01415079,0.0005567705,0.0001174415,0.0005090807,0.431302,0.001064696,0.02122572],"genre_scores_gemma":[0.6854432,0.0004062532,0.009587192,0.000632046,0.00005299184,0.001411647,0.2883746,0.0007331697,0.01335869],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02203564,"threshold_uncertainty_score":0.07371652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014531463923655,"score_gpt":0.2866162198574915,"score_spread":0.256470905218255,"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."}}