{"id":"W2575879278","doi":"10.1016/j.ijhydene.2016.11.104","title":"Hydrogen bioproduction with Enterobacter sp. isolated from brewery wastewater","year":2017,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fundação para o Desenvolvimento da UNESP; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Bioproduction; 16S ribosomal RNA; Enterobacter; Mesophile; Wastewater; Fermentation; Bacteria; Enterobacter cloacae; Chemistry; Food science; Acetic acid; Hydrogen; Microbiology; Biology; Biochemistry; Organic chemistry; Enterobacteriaceae; Escherichia coli; Waste management; Gene","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":[0.0001019323,0.0001637656,0.00017297,0.000171251,0.00008047179,0.0001563215,0.0005113974,0.00007394821,0.0001988947],"category_scores_gemma":[0.00001771955,0.0001271778,0.0001056276,0.00003270904,0.00006441796,0.0007335832,0.0000463418,0.0001378369,0.00002906353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103964,"about_ca_system_score_gemma":0.00002116686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001455304,"about_ca_topic_score_gemma":0.00004612019,"domain_scores_codex":[0.9989476,0.00001709633,0.0003544569,0.00016194,0.0003695963,0.0001492621],"domain_scores_gemma":[0.9990463,0.000006148755,0.0002697901,0.0002674709,0.0003233857,0.00008685574],"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":[0.001625572,0.0004830134,0.01706138,0.0000107145,0.006053539,0.001003148,0.0005820081,0.06239194,0.8380755,0.002054824,0.009407883,0.0612505],"study_design_scores_gemma":[0.001574715,0.0002232032,0.002898556,0.0001641992,0.0001056833,0.001261206,0.00004487241,0.002869345,0.8096038,0.000767677,0.1800862,0.0004005884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939462,0.0002161994,0.001587524,0.0009147338,0.002632945,0.00002462761,0.00001357365,0.00005444788,0.0006097248],"genre_scores_gemma":[0.9972046,0.0002347319,0.0003476747,0.00007042392,0.001562353,0.000001698375,0.00003463998,0.00003023248,0.0005136639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1706783,"threshold_uncertainty_score":0.5186161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007624951251271637,"score_gpt":0.2043522419485152,"score_spread":0.1967272906972436,"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."}}