{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002341771,0.0005365941,0.0002421663,0.0001359498,0.00007783977,0.0002589132,0.0001984056,0.0003219441,0.000290972],"category_scores_gemma":[0.0001302795,0.0001141735,0.0003728155,0.0001723036,0.000133785,0.0002662688,0.0002375177,0.0002982705,0.0001820367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938054,"about_ca_system_score_gemma":0.0001426077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008523323,"about_ca_topic_score_gemma":0.0008457156,"domain_scores_codex":[0.9998242,0.00003064047,0.00001743193,0.00003545446,0.00005951128,0.00003282869],"domain_scores_gemma":[0.9999112,0.00001495109,0.00002822065,0.00001099226,0.00002209912,0.00001255854],"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":[0.00002232396,0.000009938435,0.0001034614,0.00001804342,0.000002159876,0.0000180696,0.000005676521,0.00003085143,0.9994282,0.000004953049,0.000003838583,0.0003525402],"study_design_scores_gemma":[0.00000326473,0.0001401228,0.001322619,0.000002105652,0.000006208121,0.00003548594,0.00001428341,0.0003192182,0.997992,0.000004284275,0.0001573455,0.000003048204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996502,0.0004022605,0.002266285,0.00004340981,0.000005991289,0.00002519549,0.0001964274,0.00004273554,0.0005156548],"genre_scores_gemma":[0.9953969,0.0002750912,0.003574387,0.00001490902,0.000002475741,0.00002237468,0.0002463203,0.00001246025,0.0004549464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008523323,"threshold_uncertainty_score":0.001694798,"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."}}