{"id":"W2144607904","doi":"10.1186/1754-6834-7-79","title":"Enhanced photo-fermentative H2 production using Rhodobacter sphaeroides by ethanol addition and analysis of soluble microbial products","year":2014,"lang":"en","type":"article","venue":"Biotechnology for Biofuels","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Ministry of Education, Science and Technology; Korea Institute of Energy Research","keywords":"Rhodobacter sphaeroides; Fermentation; Chemistry; Raw material; Ethanol; Ethanol fuel; Food science; Yield (engineering); Biofuel; Hydrogen production; Biomass (ecology); Pulp and paper industry; Photosynthesis; Biochemistry; Organic chemistry; Biotechnology; Hydrogen; Materials science; Biology; Agronomy","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":[0.0001910586,0.0001730086,0.0002945907,0.0004044777,0.00007948768,0.00001395719,0.000081105,0.0003013022,0.00002456061],"category_scores_gemma":[0.0001080736,0.0001727365,0.00006563326,0.0006919354,0.0002232463,0.0001584062,0.00002422934,0.0001095504,0.000002478108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005989991,"about_ca_system_score_gemma":0.00001051495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001499909,"about_ca_topic_score_gemma":0.000009161414,"domain_scores_codex":[0.9990211,0.00002516103,0.0002705559,0.0003913113,0.00006793728,0.0002239561],"domain_scores_gemma":[0.9995124,0.00001587645,0.0001234611,0.0002226771,0.000097805,0.00002771972],"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":[0.00003112893,0.00003873285,0.00003396298,0.00005263013,0.0002849134,4.307507e-8,0.00007463549,0.0001574236,0.98886,0.000344881,0.0006664902,0.009455143],"study_design_scores_gemma":[0.000272878,0.0001177178,0.0001650389,0.00002030297,0.0003143581,0.000003547983,0.00005645764,0.001002264,0.9934419,0.000163252,0.004265177,0.0001770971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689476,0.0001531928,0.02891579,0.0004848564,0.0005737076,0.000506779,0.00011227,0.000280097,0.00002570247],"genre_scores_gemma":[0.9929357,0.0001769347,0.006279146,0.00002394273,0.00008070219,0.00003432944,0.0003043365,0.00002190801,0.0001429582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02398813,"threshold_uncertainty_score":0.7043988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123683723188916,"score_gpt":0.231950988082095,"score_spread":0.2195826157632035,"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."}}