{"id":"W2035401368","doi":"10.1182/blood-2009-07-230508","title":"Exploiting the mevalonate pathway to distinguish statin-sensitive multiple myeloma","year":2010,"lang":"en","type":"article","venue":"Blood","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; Mayo Clinic","keywords":"Multiple myeloma; Mevalonate pathway; Statin; Medicine; Hydroxymethylglutaryl-CoA Reductase Inhibitors; Lenalidomide; Mevalonic acid; Cancer research; Internal medicine; Oncology; Biology; Genetics","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":[0.0002335103,0.0001456265,0.0001265829,0.00001954762,0.0001632711,0.00003736848,0.0001801818,0.00008087303,0.0000116422],"category_scores_gemma":[0.0007406221,0.0001129507,0.00008204061,0.00007075223,0.00006329099,0.000002473291,0.0001356748,0.0001537658,0.00002124401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002611626,"about_ca_system_score_gemma":0.00006573619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008445577,"about_ca_topic_score_gemma":0.0007204436,"domain_scores_codex":[0.9990489,0.00004651233,0.0001627831,0.0003202707,0.0001319075,0.0002896143],"domain_scores_gemma":[0.9992697,0.00003967502,0.00006747901,0.0003722507,0.0001383822,0.0001124774],"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":[0.00002725846,0.00006243287,0.001063287,0.000005555973,0.00003737945,6.348109e-7,0.000440225,0.000002494749,0.9873855,0.000193344,0.002500816,0.008281101],"study_design_scores_gemma":[0.0007481171,0.00006145853,0.01215464,0.000007065645,0.00002762131,0.00002094783,0.0003389312,0.000009121575,0.5088493,0.00002955283,0.477578,0.0001752367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991953,0.0001449795,0.0002937291,0.0001685943,0.00426207,0.0002345262,0.0000965595,0.00002506899,0.00282144],"genre_scores_gemma":[0.9842785,0.00002200948,0.00151655,0.0006440869,0.01249899,0.00005061802,0.00005608024,0.00003044087,0.0009027001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4785361,"threshold_uncertainty_score":0.4605997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008705884737181892,"score_gpt":0.2306351269008277,"score_spread":0.2219292421636458,"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."}}