{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002162125,0.001078399,0.001306099,0.0006902118,0.002095537,0.002317217,0.001301073,0.02005408,0.004374868],"category_scores_gemma":[0.009683148,0.0004672534,0.001355432,0.0003849928,0.002591798,0.004865886,0.001120464,0.02440903,0.004726278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225338,"about_ca_system_score_gemma":0.001410306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021067,"about_ca_topic_score_gemma":0.002442133,"domain_scores_codex":[0.9982992,0.0005168642,0.000146302,0.0002035112,0.0006485601,0.0001856327],"domain_scores_gemma":[0.9964271,0.001916792,0.0002126737,0.000158807,0.000614866,0.0006698778],"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":[0.0001739303,0.0001466747,0.0005554315,0.0001620687,0.00004072313,0.004329746,0.00011195,0.00008358132,0.001171915,0.004941778,0.9481535,0.04012884],"study_design_scores_gemma":[0.0002595115,0.0002795128,0.0009601064,0.0002835968,0.00005130744,0.00674126,0.0003983312,0.0004632433,0.0009060804,0.01501143,0.9745781,0.00006754419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000760841,0.01121289,0.0003048349,0.942131,0.04305214,0.00002413231,0.00003093478,0.00005459482,0.002428673],"genre_scores_gemma":[0.006869075,0.01334031,0.0006597313,0.8600811,0.1069836,0.000056049,0.000033576,0.000037035,0.01193947],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02005408,"threshold_uncertainty_score":0.01634949,"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."}}