{"id":"W1967770076","doi":"10.6000/1929-6002.2014.03.02.1","title":"Bioaugmented Hydrogen Production from Lignocellulosic Substrates Using Co-Cultures of Shigella flexneri str. G3 and Clostridium acetobutylicum X9","year":2014,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science Fund for Creative Research Groups; China Postdoctoral Science Foundation; State Key Laboratory of Urban Water Resource and Environment; National Natural Science Foundation of China","keywords":"Shigella flexneri; Clostridium acetobutylicum; Shigella; Microbiology; Clostridium; Chemistry; Biology; Bacteria; Biochemistry; Escherichia coli; Ethanol; Butanol","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002385501,0.0001506606,0.0002744948,0.0009669937,0.0000627378,0.00001443482,0.0001646306,0.0003023647,0.00001647147],"category_scores_gemma":[0.00007577099,0.000136866,0.00003219838,0.001463463,0.0001656859,0.0001800029,0.00003142773,0.0002348836,4.841778e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008196196,"about_ca_system_score_gemma":0.00003733152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261701,"about_ca_topic_score_gemma":0.00006219438,"domain_scores_codex":[0.9988978,0.00002697305,0.000607617,0.0001660135,0.0001384494,0.0001631371],"domain_scores_gemma":[0.9991586,0.00001482333,0.0003202564,0.000200437,0.0002790118,0.00002687598],"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":[0.00001855036,0.00005520483,0.002603195,0.00003674012,0.00007057212,0.000001815764,0.00002331249,0.02448606,0.9687986,0.0003847746,0.001138431,0.002382752],"study_design_scores_gemma":[0.0003728955,0.00008482297,0.00009203638,0.00007954137,0.00002380322,0.00005227856,0.0002705135,0.003258166,0.9789987,0.002353032,0.01428707,0.0001271062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995341,0.001429499,0.001183938,0.001298674,0.0004830164,0.00006409056,0.000007080401,0.00007308498,0.0001196027],"genre_scores_gemma":[0.9960498,0.0007171701,0.002933495,0.00002471322,0.0001798232,0.000003324154,0.00001770905,0.00001611328,0.00005785971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0212279,"threshold_uncertainty_score":0.5581235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146019243140272,"score_gpt":0.2314303950301779,"score_spread":0.2199702025987752,"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."}}