{"id":"W3029073942","doi":"10.1101/764944","title":"GLUT1 inhibition blocks growth of RB1-positive Triple Negative Breast Cancer","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Public Health Ontario; Occupational Cancer Research Centre; Cancer Care Ontario; McGill University Health Centre; Structural Genomics Consortium; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Government of Ontario; Ontario Institute for Cancer Research; Novartis Pharma; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; McGill University Health Centre; Ontario Ministry of Research, Innovation and Science; Ontario Genomics; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada; Terry Fox Research Institute; Cancer Research Society; Princess Margaret Cancer Foundation; Pfizer","keywords":"Triple-negative breast cancer; GLUT1; Cancer research; Breast cancer; Cancer; Glucose transporter; Retinoblastoma; Medicine; Biology; Internal medicine; Gene; Biochemistry","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":[0.00009183139,0.0001932721,0.0002322686,0.0002041342,0.00009857961,0.0002040334,0.000114987,0.0001411623,0.002520116],"category_scores_gemma":[0.00007629184,0.00006268897,0.0001483396,0.0001281666,0.0001224797,0.00006850709,0.0001296969,0.000399238,0.0006156147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930704,"about_ca_system_score_gemma":0.0001306496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009576493,"about_ca_topic_score_gemma":0.0009378251,"domain_scores_codex":[0.999952,0.000006938665,0.000003126326,0.000008427069,0.00001522889,0.00001433039],"domain_scores_gemma":[0.9999731,0.000006410647,0.000005162922,0.000004683871,0.000003308022,0.000007333585],"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":[0.0005858266,0.00009891941,0.0004922015,0.00005102376,0.00001013273,0.00006279124,0.00001393707,0.0002039917,0.9927326,0.00009884529,0.0004633839,0.005186455],"study_design_scores_gemma":[0.00004436914,0.0005249803,0.006113142,0.000004702331,0.00001310544,0.0002407871,0.00001907005,0.001239167,0.9878126,0.00007499051,0.003910594,0.000002532946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924872,0.002071097,0.001086734,0.0002477416,0.00006002929,0.00001851526,0.001177551,0.000180564,0.002670525],"genre_scores_gemma":[0.9904082,0.001095489,0.001130964,0.00007011079,0.00001203155,0.00001601387,0.001459219,0.00004081317,0.005767151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002520116,"threshold_uncertainty_score":0.0084306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006829498967282805,"score_gpt":0.2149932058528779,"score_spread":0.2081637068855951,"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."}}