{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001991309,0.0003819686,0.000395038,0.0006096384,0.0003511697,0.0007658355,0.0003556863,0.0004275434,0.003512364],"category_scores_gemma":[0.000176047,0.0003213802,0.0005966469,0.0005801993,0.0004000503,0.0004703791,0.000528687,0.001034397,0.0007064345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004032814,"about_ca_system_score_gemma":0.001019888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038137,"about_ca_topic_score_gemma":0.003433149,"domain_scores_codex":[0.9997033,0.00003856949,0.00002276002,0.00004057465,0.00009420908,0.0001004533],"domain_scores_gemma":[0.9999034,0.00001261986,0.00001904912,0.00001225576,0.000009692369,0.00004298886],"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":[0.001614899,0.0003741953,0.0008720554,0.0002022184,0.00005965566,0.0003079129,0.00005477737,0.0003224469,0.9839385,0.00168077,0.00160471,0.008967767],"study_design_scores_gemma":[0.0002550697,0.001302051,0.01503055,0.00002537436,0.0001153508,0.001003755,0.0002446396,0.002635034,0.9611046,0.0009088058,0.01733851,0.00003638772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970746,0.009549615,0.003429478,0.001748223,0.000500574,0.00009847811,0.002256519,0.0005190364,0.01115217],"genre_scores_gemma":[0.9904885,0.002931607,0.0009547092,0.000200108,0.00002389331,0.00005079795,0.0008844365,0.00002280025,0.004443179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003512364,"threshold_uncertainty_score":0.01174998,"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."}}