{"id":"W2235326259","doi":"10.1016/j.fbp.2016.01.002","title":"Agro-industrial wastes as feedstock for sustainable bio-production of butanol by Clostridium beijerinckii","year":2016,"lang":"en","type":"article","venue":"Food and Bioproducts Processing","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Clostridium beijerinckii; Butanol; Chemistry; Fermentation; Food science; Pomace; Raw material; Biofuel; Hydrolysate; Ethanol fuel; Biomass (ecology); Sugar; Pulp and paper industry; Hydrolysis; Biotechnology; Ethanol; Biochemistry; Agronomy; Organic chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002546434,0.0005348175,0.0002080657,0.0005508321,0.0003335171,0.0006748452,0.0002729487,0.0002952503,0.0005909419],"category_scores_gemma":[0.0002569868,0.0001677962,0.0001986131,0.0005729369,0.0001444683,0.0003864578,0.0004532626,0.0004347596,0.0003362422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884648,"about_ca_system_score_gemma":0.0004728934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870295,"about_ca_topic_score_gemma":0.003088241,"domain_scores_codex":[0.9997951,0.00003004117,0.00002046579,0.00002763503,0.00006383169,0.00006277044],"domain_scores_gemma":[0.9999332,0.0000124019,0.00001028437,0.00000708577,0.00001885962,0.00001817491],"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":[0.0002246864,0.0001226224,0.0005622023,0.00009725204,0.00001084886,0.0001141977,0.00002824975,0.0004122675,0.9920756,0.0001741427,0.00006693183,0.006110973],"study_design_scores_gemma":[0.000005433104,0.0001059754,0.001836239,0.00001365472,0.00002202845,0.00005328402,0.00004241352,0.0005685936,0.9963459,0.00006774094,0.000935389,0.000003454822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948711,0.001431038,0.001321783,0.00009580683,0.00003989517,0.00001926621,0.0002635775,0.00002242523,0.001935041],"genre_scores_gemma":[0.9945766,0.001275094,0.001532503,0.00002150049,0.000004058148,0.00001031984,0.0005235804,0.00001734953,0.002039025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001870295,"threshold_uncertainty_score":0.003718793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255018805510422,"score_gpt":0.2046145811005025,"score_spread":0.1920643930453983,"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."}}