{"id":"W2789786349","doi":"10.1158/2159-8290.cd-17-1215","title":"PTEN Deficiency and AMPK Activation Promote Nutrient Scavenging and Anabolism in Prostate Cancer Cells","year":2018,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Congressionally Directed Medical Research Programs; UCI Beall Applied Innovation; National Institute of Biomedical Imaging and Bioengineering; National Center for Research Resources; National Institute of General Medical Sciences; Canada Research Chairs; National Institutes of Health; National Cancer Institute; Genome Canada; American Cancer Society","keywords":"Prostate cancer; AMPK; Cancer research; Pinocytosis; Cancer cell; Cancer; Biology; Cell biology; Cell; Internal medicine; Medicine; Biochemistry; Protein kinase A; Phosphorylation; Endocytosis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001157794,0.0001539502,0.0001550033,0.00005738973,0.00007788013,0.00006745093,0.0000744201,0.00007002814,0.00001377862],"category_scores_gemma":[0.00001272964,0.0001406176,0.00002539513,0.0001337629,0.000151754,0.00003474299,0.00008072052,0.00007209504,8.022366e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003294735,"about_ca_system_score_gemma":0.0001321138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002922599,"about_ca_topic_score_gemma":0.0002460891,"domain_scores_codex":[0.998994,0.00002760358,0.0001566308,0.0004177879,0.000102559,0.000301437],"domain_scores_gemma":[0.999618,0.000004225435,0.00007803342,0.0001709228,0.00006002514,0.00006879245],"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":[0.0002511402,0.00008273724,0.01596583,0.0002158893,0.00004606258,0.000001933116,0.001950081,0.0001019294,0.6713114,0.0002129348,0.001147512,0.3087126],"study_design_scores_gemma":[0.001068291,0.0001021541,0.01984779,0.0001747101,0.00002579418,0.000001148319,0.0001725566,0.0001582019,0.8497311,0.0002759001,0.1280899,0.0003524952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8789344,0.120152,0.00009660341,0.00006664342,0.0002955641,0.0002462825,0.00005491826,0.000006127292,0.0001475514],"genre_scores_gemma":[0.9041364,0.09457009,0.00003622397,0.0004262918,0.0004317124,0.0001222726,0.00001520239,0.00001996623,0.0002418353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3083601,"threshold_uncertainty_score":0.5734221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006486580942440402,"score_gpt":0.2456510913190878,"score_spread":0.2391645103766474,"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."}}