{"id":"W3142978815","doi":"10.1016/j.neo.2021.02.003","title":"Perturbations of cancer cell metabolism by the antidiabetic drug canagliflozin","year":2021,"lang":"en","type":"article","venue":"Neoplasia","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Montréal; Hôpital Maisonneuve-Rosemont; McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; Terry Fox Research Institute; Canadian Institutes of Health Research; Terry Fox Foundation; Fondation du cancer du sein du Québec; McGill University","keywords":"Canagliflozin; Glutamine; Glucose transporter; Pharmacology; Citric acid cycle; Carbohydrate metabolism; Glucose uptake; Cancer cell; Glycolysis; Chemistry; Metabolism; Mechanism of action; Cancer; Type 2 diabetes; Biochemistry; Biology; Endocrinology; Internal medicine; Diabetes mellitus; Medicine; Amino acid; Insulin; In vitro","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":[0.0001193503,0.0001592556,0.0002541043,0.0002535665,0.0001180507,0.0003785309,0.0001223916,0.0002506168,0.0007962188],"category_scores_gemma":[0.0001150589,0.0001066976,0.0001645867,0.0002755882,0.0001078506,0.0001170532,0.00009316575,0.0004746841,0.0001377657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000402486,"about_ca_system_score_gemma":0.0003004502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191631,"about_ca_topic_score_gemma":0.002275119,"domain_scores_codex":[0.9998735,0.00002615649,0.00001178209,0.00001793043,0.00003847752,0.00003205206],"domain_scores_gemma":[0.9999641,0.000006758636,0.000009979655,0.000006665094,0.00000384921,0.00000857965],"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":[0.001009271,0.0002456565,0.001969681,0.0001147683,0.00003976289,0.000155887,0.00002296973,0.0005116309,0.9787957,0.0004405939,0.0005232299,0.01617079],"study_design_scores_gemma":[0.0002097443,0.001479671,0.02992852,0.0000215627,0.00006918644,0.0005641474,0.00005642784,0.003037714,0.9481862,0.0002158709,0.01621699,0.00001395022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808837,0.01132806,0.001756497,0.0004524385,0.0001533475,0.00004905706,0.000587247,0.0001259226,0.004663813],"genre_scores_gemma":[0.9916152,0.004652102,0.001974946,0.0002088464,0.00001756466,0.00005164231,0.0003285524,0.000008315511,0.001142611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001191631,"threshold_uncertainty_score":0.00292021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004448969118041327,"score_gpt":0.2256161675442989,"score_spread":0.2211671984262576,"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."}}