{"id":"W2134297013","doi":"10.1016/j.cancergen.2014.09.003","title":"Recurrent copy number alterations in prostate cancer: an in silico meta-analysis of publicly available genomic data","year":2014,"lang":"en","type":"review","venue":"Cancer Genetics","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Canadian Cancer Society","keywords":"PTEN; Biology; Prostate cancer; Genome instability; Fusion gene; Copy number analysis; In silico; Copy-number variation; Cancer research; Comparative genomic hybridization; Genome; Somatic cell; Genetics; Cancer; Gene expression profiling; Microsatellite instability; Gene; Gene expression; Microsatellite; Allele; PI3K/AKT/mTOR pathway; DNA","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":[0.006689989,0.001588738,0.003855695,0.007232106,0.0005046396,0.001941635,0.001073257,0.0007603695,0.002146124],"category_scores_gemma":[0.009841316,0.0007500995,0.01237255,0.00825403,0.0003470582,0.000669629,0.001197246,0.0009512383,0.0003008624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005681656,"about_ca_system_score_gemma":0.0009157826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00310553,"about_ca_topic_score_gemma":0.003921495,"domain_scores_codex":[0.9952528,0.0017613,0.0004573229,0.001675099,0.0006168286,0.00023659],"domain_scores_gemma":[0.9903966,0.006756139,0.000975283,0.001277491,0.0003830113,0.000211449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003447735,0.00005690423,0.5250145,0.006669041,0.4086662,0.001022684,0.0001769895,0.009071517,0.009411016,0.0003866171,0.001929202,0.03414754],"study_design_scores_gemma":[0.0002767385,0.0006884159,0.4873038,0.0008306245,0.4762651,0.003207678,0.0002284058,0.01504755,0.005624574,0.001926244,0.00847494,0.0001259035],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6581276,0.2665138,0.03255033,0.001406516,0.0003453484,0.0001825076,0.03781657,0.001243351,0.001813854],"genre_scores_gemma":[0.9747292,0.01167266,0.004564522,0.0001964207,0.00008989117,0.00009595239,0.008231979,0.0001525359,0.0002668119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007232106,"threshold_uncertainty_score":0.03538048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3428671216261207,"score_gpt":0.4892205458420157,"score_spread":0.146353424215895,"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."}}