{"id":"W2774825874","doi":"10.15252/msb.20177739","title":"An integrated computational and experimental study uncovers FUT9 as a metabolic driver of colorectal cancer","year":2017,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Cancer Agency; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Saskatchewan Health Research Foundation","keywords":"Library science; Tel aviv; Cancer; Medicine; Gerontology; Computer science; Internal medicine","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":[0.000364368,0.0005889977,0.0007037608,0.0006019349,0.0004314861,0.0007730353,0.0005912146,0.0007256471,0.001597797],"category_scores_gemma":[0.001020734,0.0003333214,0.001069689,0.0006303694,0.0002781436,0.0004807859,0.0003873903,0.0004036864,0.0001249958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006521558,"about_ca_system_score_gemma":0.001224052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311124,"about_ca_topic_score_gemma":0.01159789,"domain_scores_codex":[0.9999195,0.00002504769,0.000003916579,0.00002135265,0.00001416073,0.00001590607],"domain_scores_gemma":[0.9996873,0.0002110634,0.00002704353,0.00002228158,0.00002726128,0.00002497357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001073864,0.00007250272,0.01128233,0.00008631797,0.0001353587,0.0001370918,0.00001474158,0.9785494,0.002036783,0.002233679,0.0003417642,0.005002597],"study_design_scores_gemma":[0.00001118292,0.00002387615,0.001000183,0.000002170749,0.00003061884,0.00001608052,0.00001105638,0.997188,0.0004236743,0.001059567,0.0002291917,0.00000441747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382918,0.000705558,0.0515224,0.0007423004,0.00007115019,0.0000442817,0.002279249,0.0005455385,0.005797751],"genre_scores_gemma":[0.9824204,0.000277127,0.01540145,0.00006730397,0.00001632717,0.00005027622,0.001147991,0.0000394072,0.0005797194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01311124,"threshold_uncertainty_score":0.02606982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009140836829155943,"score_gpt":0.3019339560995602,"score_spread":0.2927931192704042,"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."}}