{"id":"W2973208486","doi":"10.1002/pros.23903","title":"Functional validation of metabolic genes that distinguish Gleason 3 from Gleason 4 prostate cancer foci","year":2019,"lang":"en","type":"article","venue":"The Prostate","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Prostate Cancer Canada","keywords":"DU145; Prostate cancer; Cancer research; Gene knockdown; Cancer; Biology; Prostate; Cancer cell; Phenotype; Gene expression profiling; Gene; LNCaP; Medicine; Gene expression; Genetics","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":[0.0001632186,0.0002735453,0.0002083617,0.0005484296,0.0001643595,0.0002152813,0.0001421425,0.0002213782,0.001060022],"category_scores_gemma":[0.0002466871,0.00009364163,0.0002543362,0.0004450341,0.000205072,0.00009099422,0.0001563042,0.0002668242,0.0002073797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408139,"about_ca_system_score_gemma":0.0002435942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009043473,"about_ca_topic_score_gemma":0.001271727,"domain_scores_codex":[0.9998931,0.00001468862,0.000006668155,0.00003031327,0.00002775548,0.00002745178],"domain_scores_gemma":[0.9997898,0.0000551923,0.0000598896,0.00001713311,0.00003859317,0.00003944879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004090477,0.00002641958,0.01924516,0.00007405979,0.00002267696,0.00006168953,0.00003122829,0.0001684082,0.9773676,0.00003531431,0.00005195429,0.00250645],"study_design_scores_gemma":[0.00003586314,0.0006615756,0.3396869,0.00001099759,0.000105856,0.0009743845,0.0001914682,0.001700251,0.6548132,0.0001097019,0.001694973,0.00001488444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975644,0.0003740129,0.0008636917,0.00003128849,0.000005350013,0.000013656,0.0008599439,0.00002254019,0.0002650533],"genre_scores_gemma":[0.9948053,0.0002503889,0.001956203,0.00003595545,0.000003580825,0.0000333204,0.002422755,0.00001168124,0.0004808811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001060022,"threshold_uncertainty_score":0.003546059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04510852940824152,"score_gpt":0.3126578047321762,"score_spread":0.2675492753239347,"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."}}