{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003213146,0.0009794043,0.0008388805,0.0003613437,0.0003637731,0.0006845688,0.0002779978,0.0006231916,0.0003771042],"category_scores_gemma":[0.0004523924,0.0003016464,0.0004826602,0.0005915756,0.0002083212,0.0003902293,0.0005664348,0.0005280123,0.0002471784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004262,"about_ca_system_score_gemma":0.0002820144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551057,"about_ca_topic_score_gemma":0.001809434,"domain_scores_codex":[0.9995621,0.00008923092,0.00006229999,0.00007793435,0.0001164643,0.00009194829],"domain_scores_gemma":[0.9998034,0.00004496317,0.00003545054,0.00002092843,0.00005412583,0.00004131286],"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":[0.0001854856,0.0001179247,0.001798947,0.00007261228,0.00001760169,0.0001665863,0.0001010227,0.0001129161,0.995207,0.000008127844,0.00002412458,0.002187742],"study_design_scores_gemma":[0.00004856473,0.001764322,0.03085209,0.00003608893,0.0001148292,0.0004795137,0.0005804584,0.001155073,0.9637309,0.00003714053,0.001180104,0.00002085307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993362,0.0001818289,0.0001939176,0.00003472825,0.000008966173,0.00001153382,0.00006296821,0.000006957849,0.0001629954],"genre_scores_gemma":[0.9959069,0.0004840695,0.001729687,0.00004952649,0.00001409468,0.00003002319,0.0006926713,0.0000147839,0.001078162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001551057,"threshold_uncertainty_score":0.003084004,"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."}}