{"id":"W2742105399","doi":"10.1158/1538-7445.am2017-3543","title":"Abstract 3543: Targeting the metabolic mevalonate pathway with statins as anti-breast cancer agents","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Statin; Atorvastatin; Fluvastatin; Medicine; Breast cancer; Cancer; Apoptosis; Pharmacology; Mevalonate pathway; Cancer research; HMG-CoA reductase; Oncology; Internal medicine; Simvastatin; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008769722,0.0007288845,0.0005776087,0.0009339321,0.0002272017,0.00127476,0.0005578349,0.001091286,0.003016534],"category_scores_gemma":[0.0003614563,0.0002444945,0.0004900164,0.000694286,0.0004469808,0.00067078,0.0005601368,0.001896773,0.001828422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006001593,"about_ca_system_score_gemma":0.0005294126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006440759,"about_ca_topic_score_gemma":0.001701575,"domain_scores_codex":[0.9996378,0.00008699534,0.00003774117,0.00005124518,0.0001367295,0.00004949141],"domain_scores_gemma":[0.9997503,0.00004701634,0.00005389175,0.00001659518,0.00008989778,0.00004237684],"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":[0.001887069,0.0005912694,0.0009973538,0.005792515,0.0002982017,0.000793741,0.0001575051,0.0009363381,0.5465807,0.009932358,0.04712026,0.3849126],"study_design_scores_gemma":[0.0005735782,0.002523906,0.006999629,0.001003847,0.0004036748,0.00152957,0.00008276862,0.0009008902,0.337881,0.004468684,0.6435451,0.00008741659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.06088131,0.8900707,0.009733796,0.01438713,0.005146997,0.0003637455,0.001456251,0.0005041131,0.01745594],"genre_scores_gemma":[0.1820352,0.7546653,0.013349,0.01443854,0.002662278,0.0003275925,0.002029155,0.0001334048,0.03035962],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003016534,"threshold_uncertainty_score":0.0100913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0491511074851894,"score_gpt":0.3886884118912544,"score_spread":0.339537304406065,"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."}}