{"id":"W2042049257","doi":"10.1002/ijc.25295","title":"Differential interactions between statins and P‐glycoprotein: Implications for exploiting statins as anticancer agents","year":2010,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research; University of Pennsylvania","keywords":"Rosuvastatin; Atorvastatin; Lovastatin; Fluvastatin; Doxorubicin; P-glycoprotein; Pharmacology; Statin; Efflux; Apoptosis; HMG-CoA reductase; Pravastatin; Cancer research; Chemotherapy; Multiple drug resistance; Chemistry; Medicine; Cholesterol; Simvastatin; Biochemistry; Internal medicine; Reductase; Enzyme","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":[0.00008915274,0.0001091547,0.0001506721,0.00008572698,0.00007551488,0.00006586462,0.0002250382,0.00005441408,0.0001697605],"category_scores_gemma":[0.0001463301,0.0001012707,0.0001104875,0.00003180707,0.0000657821,0.00002573915,0.00005782123,0.0001712787,0.000001002625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002841576,"about_ca_system_score_gemma":0.0002112962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044514,"about_ca_topic_score_gemma":0.0003701504,"domain_scores_codex":[0.9991595,0.000015675,0.00034359,0.0001615296,0.0001761939,0.0001435613],"domain_scores_gemma":[0.998789,0.00004245395,0.0003375108,0.0001034546,0.0006193194,0.0001083288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002653037,0.00007059893,0.03342845,0.00001293462,0.0006075246,1.737668e-7,0.0002331511,0.00002288694,0.8456945,0.00106916,0.01169237,0.106903],"study_design_scores_gemma":[0.001962065,0.0001478733,0.1207134,0.00005262604,0.0001298631,0.00004680363,0.0001267876,0.00002937405,0.05333053,0.001394884,0.82187,0.0001957135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716534,0.0002630325,0.01525707,0.002170409,0.009841975,0.0001666001,0.0004561504,0.000004477925,0.000186885],"genre_scores_gemma":[0.9750088,0.0007898007,0.001583327,0.0003055865,0.02183833,0.00006264957,0.00005588391,0.00002108002,0.0003345153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8101777,"threshold_uncertainty_score":0.4129699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227088266070032,"score_gpt":0.3771731077155698,"score_spread":0.3549022250548695,"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."}}