{"id":"W2859249641","doi":"10.1038/nbt.4163","title":"KBase: The United States Department of Energy Systems Biology Knowledgebase","year":2018,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":1670,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brookhaven National Laboratory; Office of Science; Carl R. Woese Institute for Genomic Biology; Stony Brook University; York University; New York University Shanghai; University of Illinois at Urbana-Champaign; Memorial Sloan-Kettering Cancer Center; Biological and Environmental Research; Johns Hopkins University; U.S. Department of Energy","keywords":"Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004754774,0.003272239,0.004862009,0.009675104,0.00316746,0.01095902,0.01060409,0.004487505,0.06930358],"category_scores_gemma":[0.01911859,0.002589249,0.002428346,0.01625902,0.001054665,0.008253885,0.005654981,0.005618688,0.08211809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003016315,"about_ca_system_score_gemma":0.01353181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02726807,"about_ca_topic_score_gemma":0.02372945,"domain_scores_codex":[0.9970746,0.0003984648,0.000560312,0.0005832883,0.001148832,0.0002345304],"domain_scores_gemma":[0.9922976,0.002090077,0.0007877391,0.001771156,0.002320859,0.0007326074],"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":[0.0002705532,0.0001199989,0.0006705217,0.004013039,0.0001765695,0.0001373861,0.0001995958,0.002953435,0.002226148,0.01741864,0.9211309,0.05068324],"study_design_scores_gemma":[0.000120575,0.00002600471,0.000725064,0.001082343,0.0001301135,0.00009609661,0.00009496899,0.00342618,0.001918178,0.01787676,0.9744,0.0001035569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001082697,0.00474268,0.04526262,0.002269372,0.001025948,0.0005401522,0.8383346,0.06602847,0.0407135],"genre_scores_gemma":[0.003603353,0.004511545,0.06162561,0.0008893626,0.0001028493,0.001006164,0.9154226,0.007193491,0.005645121],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06930358,"threshold_uncertainty_score":0.2318435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00728252224907663,"score_gpt":0.2564055521482815,"score_spread":0.2491230298992049,"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."}}