{"id":"W2990636802","doi":"10.1158/1078-0432.ccr-19-3645","title":"Metformin in Gynecologic Cancers: Opening a New Window for Prevention and Treatment?","year":2019,"lang":"en","type":"letter","venue":"Clinical Cancer Research","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Metformin; Medicine; PI3K/AKT/mTOR pathway; Diabetes mellitus; Type 2 diabetes; Drug; Cancer; Internal medicine; Oncology; Pharmacology; Endocrinology; Signal transduction; Biology","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":[0.002531086,0.0008574606,0.001486396,0.0008150067,0.001834341,0.002179465,0.001106259,0.02139928,0.006349424],"category_scores_gemma":[0.01006191,0.000408784,0.001375053,0.0004555021,0.002510574,0.004458443,0.001006022,0.02378941,0.005551204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003303666,"about_ca_system_score_gemma":0.00180388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591782,"about_ca_topic_score_gemma":0.003068085,"domain_scores_codex":[0.9985215,0.0004488051,0.0001617656,0.0001921725,0.0005285654,0.0001472953],"domain_scores_gemma":[0.9959394,0.002340096,0.0002602312,0.0001652279,0.0007224129,0.000572582],"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":[0.0002043075,0.00008240619,0.0003759648,0.0002353618,0.00002507673,0.003416034,0.00006548195,0.0001161019,0.0005863669,0.006123631,0.936294,0.05247521],"study_design_scores_gemma":[0.0003709081,0.0002918817,0.001185619,0.0009485657,0.00004783491,0.006197702,0.0002079384,0.0004309714,0.0004045012,0.02060711,0.9692342,0.00007277679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002617421,0.01142767,0.0001043828,0.9587851,0.02761446,0.000009548479,0.00003062947,0.00002222558,0.001744275],"genre_scores_gemma":[0.004211287,0.02136374,0.0003585761,0.7442768,0.2236203,0.00004756534,0.00003710516,0.00002161142,0.006062976],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02139928,"threshold_uncertainty_score":0.02396983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2995183312053745,"score_gpt":0.527646728476705,"score_spread":0.2281283972713306,"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."}}