{"id":"W4383187429","doi":"10.1158/0008-5472.can-23-1066","title":"Repurposing Two Old Friends to Fight Cancer: Caffeine and Statins","year":2023,"lang":"en","type":"letter","venue":"Cancer Research","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; St. Joseph’s Healthcare Hamilton","funders":"Canadian Institutes of Health Research","keywords":"Mevalonate pathway; Statin; Repurposing; Caffeine; Cancer; Prenylation; Medicine; Pharmacology; HMG-CoA reductase; Cholesterol; Limiting; Lovastatin; Drug repositioning; Reductase; Cancer research; Enzyme; Drug; Chemistry; Biology; Internal medicine; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006188736,0.0003785734,0.0004729087,0.0003571061,0.0002906266,0.000154322,0.0005272125,0.0005542326,0.0002201617],"category_scores_gemma":[0.000145271,0.0003696614,0.0001193153,0.0005497469,0.000234917,0.000006328676,0.0006103433,0.001454296,0.00003920248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002082634,"about_ca_system_score_gemma":0.0009132194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008813928,"about_ca_topic_score_gemma":0.004185047,"domain_scores_codex":[0.996237,0.0002369844,0.0003322261,0.001243017,0.0007681837,0.001182617],"domain_scores_gemma":[0.9982209,0.00006572226,0.00009019492,0.0008692598,0.0004702979,0.0002836497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008291552,0.000007752465,0.000131132,0.0002182345,0.0001338053,0.000008405586,0.0001903386,0.00002490874,0.06951374,0.00001170286,0.9192753,0.0104018],"study_design_scores_gemma":[0.0005690329,0.0001564033,0.00009321983,0.0002283601,0.00004365292,0.000007115663,0.00004359683,0.00000648331,0.01335992,0.00003693641,0.9850248,0.0004304461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.1559784,0.1003051,0.0001036073,0.6910385,0.03970681,0.003413317,0.005719929,0.0002007647,0.003533471],"genre_scores_gemma":[0.001274095,0.08277331,0.000243655,0.3024136,0.3511135,0.004024581,0.001929828,0.0005974408,0.25563],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3886249,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05847718513602276,"score_gpt":0.4113264781858614,"score_spread":0.3528492930498387,"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."}}