{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002499894,0.0001146158,0.0001752285,0.00005870901,0.00003159859,0.00001960266,0.0001242226,0.000163281,0.00001440712],"category_scores_gemma":[0.00001434918,0.00009117802,0.00004887559,0.00006040679,0.00003770219,0.00003628314,0.0000213413,0.00005154837,0.0001247953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005180971,"about_ca_system_score_gemma":0.00001270058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002855123,"about_ca_topic_score_gemma":0.000006690029,"domain_scores_codex":[0.9993334,0.00004502408,0.0001823831,0.0001836878,0.00003960498,0.0002158629],"domain_scores_gemma":[0.9996045,0.00002063396,0.00003403082,0.0001970619,0.00005253177,0.00009120748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002781804,0.0000680083,0.01894163,0.001637517,0.0001759756,0.000001467509,0.001835575,0.002504715,0.9512922,0.0004976225,0.02154861,0.001218526],"study_design_scores_gemma":[0.0007350943,0.0001594885,0.002627287,0.00001103056,0.00001494759,0.0000246456,0.0007535308,0.004843711,0.00296629,0.00005509962,0.9875572,0.0002517243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775171,0.003225612,0.009470064,0.0001199021,0.005251232,0.0006963163,0.0000541956,0.0005434509,0.003122172],"genre_scores_gemma":[0.9975228,0.00001778467,0.0003799305,0.00002734943,0.0009342326,0.00005512627,0.00003105273,0.0000216843,0.001010053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9660085,"threshold_uncertainty_score":0.3718132,"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."}}