{"id":"W2901211944","doi":"10.1016/j.ccell.2018.10.012","title":"Metabolic Flexibility in Leukemia—Adapt or Die","year":2018,"lang":"en","type":"letter","venue":"Cancer Cell","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Flexibility (engineering); Leukemia; Biology; Computational biology; Cancer research; Cell biology; Immunology; Mathematics","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":[0.002405471,0.0007068373,0.001102735,0.0005218862,0.002953911,0.003124256,0.001097514,0.03011265,0.007573749],"category_scores_gemma":[0.01391175,0.0004004265,0.0008080998,0.0003726306,0.004369637,0.004383219,0.003036035,0.03042853,0.004754936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002514116,"about_ca_system_score_gemma":0.002441497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502057,"about_ca_topic_score_gemma":0.002840878,"domain_scores_codex":[0.998201,0.0006554529,0.0001955133,0.0002042398,0.0004780207,0.0002658059],"domain_scores_gemma":[0.9960878,0.002035707,0.0002873901,0.0002145267,0.0005623579,0.0008123138],"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":[0.00009155015,0.00005282915,0.0004987693,0.00006358905,0.00001735315,0.001471996,0.0001277918,0.00006624819,0.000265463,0.01204173,0.9562002,0.02910245],"study_design_scores_gemma":[0.0001655301,0.00008241238,0.0004936027,0.0002075248,0.00001941183,0.001427169,0.0003829921,0.0002503822,0.0002521424,0.03705562,0.9596241,0.00003909251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003140462,0.003498517,0.0000781593,0.9783771,0.01594374,0.000003723115,0.0000183511,0.00002131125,0.001745113],"genre_scores_gemma":[0.009337805,0.005958561,0.0002580656,0.8897188,0.08577766,0.00003159985,0.00003870358,0.00002712402,0.008851608],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03011265,"threshold_uncertainty_score":0.02533674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06326788812452953,"score_gpt":0.3480338698095618,"score_spread":0.2847659816850323,"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."}}