{"id":"W2810980614","doi":"10.1080/09593330.2018.1494751","title":"Biovalorization of glucose in four culture media and effect of the nitrogen source on fermentative alcohols production by <i>Escherichia coli</i>","year":2018,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre National en Électrochimie et en Technologies Environnementales; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Urea; Corn steep liquor; Yield (engineering); Nitrogen; Fermentation; Sodium nitrate; Chemistry; Food science; Monosaccharide; Escherichia coli; Acetoin; Bacteria; Carbon source; Nuclear chemistry; Biochemistry; Biology; Organic chemistry; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009282673,0.00009370084,0.0001082588,0.00003875184,0.00002603119,0.000001209835,0.00007751917,0.0001381315,0.000002508676],"category_scores_gemma":[0.00005478948,0.00006840123,0.0000224294,0.0001288504,0.0002982507,0.000002600701,0.00005874589,0.0000734448,0.00000111783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001330288,"about_ca_system_score_gemma":0.000002811031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004432919,"about_ca_topic_score_gemma":0.000002404612,"domain_scores_codex":[0.9994879,0.00004446468,0.0001176013,0.0002071178,0.00005751116,0.00008538527],"domain_scores_gemma":[0.9997347,0.000001904507,0.00007814579,0.0001699108,0.000004898136,0.00001045972],"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":[0.00006802997,0.00003769154,0.009891422,0.000009122237,0.00001690858,5.243798e-8,0.00006951004,0.000009923889,0.9878063,0.00000641525,0.0001244942,0.001960093],"study_design_scores_gemma":[0.0003407879,0.0005294075,0.003059876,0.00001294951,0.00001366248,0.000005628731,0.00005115978,0.000003001693,0.9939296,0.00002795507,0.00196496,0.00006098902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990101,0.0004077529,0.00006157232,0.0001155397,0.0001277659,0.0002412792,0.00001751706,0.000007193949,0.00001123812],"genre_scores_gemma":[0.9994175,0.000251187,0.000132496,0.00001735093,0.00006721942,0.00001390004,0.00002569028,0.000009270144,0.00006532716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006831546,"threshold_uncertainty_score":0.2789321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00230836975495134,"score_gpt":0.1855554727490301,"score_spread":0.1832471029940787,"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."}}