{"id":"W1837138484","doi":"10.1186/s12918-015-0159-x","title":"Genome-scale resources for Thermoanaerobacterium saccharolyticum","year":2015,"lang":"en","type":"article","venue":"BMC Systems Biology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Oak Ridge National Laboratory; Bioenergy Technologies Office; Biological and Environmental Research; Office of Science; UT-Battelle; Battelle; U.S. Department of Energy","keywords":"Genome; Biology; Xylose metabolism; Hemicellulose; Xylose; Computational biology; Gene; Genetics; Biochemistry; Cellulose; Fermentation","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":[0.001254799,0.002124012,0.001289418,0.002935128,0.0009605706,0.001984357,0.002797501,0.00129383,0.01273177],"category_scores_gemma":[0.002872031,0.001107484,0.001918941,0.00544382,0.0002933558,0.001392883,0.002633241,0.002168966,0.01294919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009605757,"about_ca_system_score_gemma":0.001437617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002455813,"about_ca_topic_score_gemma":0.002693513,"domain_scores_codex":[0.9995251,0.00007460979,0.00005769182,0.0001537842,0.0001067796,0.00008216772],"domain_scores_gemma":[0.9980969,0.0005187364,0.0001884008,0.000555653,0.00031354,0.0003268276],"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":[0.005751853,0.001157313,0.006900556,0.004974184,0.0004877195,0.001966575,0.00102574,0.01015795,0.7917818,0.004563001,0.04468581,0.1265474],"study_design_scores_gemma":[0.00205132,0.001864649,0.02856721,0.001058071,0.0009903635,0.002013749,0.0007291561,0.01782609,0.4518444,0.009609972,0.4829422,0.0005029052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2475694,0.005796445,0.141363,0.00194782,0.0005564135,0.001742223,0.5425898,0.04502498,0.01341],"genre_scores_gemma":[0.0552228,0.001371051,0.1470381,0.0001147213,0.00004830958,0.0008297859,0.7903389,0.003423412,0.001612863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01273177,"threshold_uncertainty_score":0.04259199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312362229205171,"score_gpt":0.2279031533096432,"score_spread":0.1966669303891261,"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."}}