{"id":"W2555251220","doi":"10.1186/s13068-016-0661-4","title":"Comparison of ethanol production from corn cobs and switchgrass following a pyrolysis-based biorefinery approach","year":2016,"lang":"en","type":"article","venue":"Biotechnology for Biofuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; BioFuelNet Canada; Alexander von Humboldt-Stiftung","keywords":"Levoglucosan; Biorefinery; Lignocellulosic biomass; Biofuel; Biomass (ecology); Hemicellulose; Ethanol fuel; Chemistry; Pyrolysis; Lignin; Pulp and paper industry; Cellulose; Bioenergy; Raw material; Food science; Fermentation; Agronomy; Biotechnology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009401671,0.0001988883,0.0003832917,0.000216583,0.00004066624,0.000007391044,0.000218265,0.0005894736,0.000008084286],"category_scores_gemma":[0.0001605873,0.0001500197,0.0001029589,0.0002949926,0.0002160553,0.00007005625,0.00004705542,0.000105944,0.000004701972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003827059,"about_ca_system_score_gemma":0.00001647753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005752682,"about_ca_topic_score_gemma":0.000001521866,"domain_scores_codex":[0.9989579,0.0000102175,0.0003074689,0.0003738712,0.0001026658,0.0002479066],"domain_scores_gemma":[0.9993669,0.0001217378,0.0000976283,0.0003352303,0.00003314171,0.00004540055],"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":[0.00003456902,0.00005183805,0.003427853,0.0001312096,0.000100369,2.648857e-7,0.00002131471,0.000002615695,0.9705561,0.0000632631,0.000132807,0.02547777],"study_design_scores_gemma":[0.00072144,0.00007234407,0.0001487066,0.00006468977,0.00006814249,8.330466e-7,0.00005965232,0.00041071,0.9968181,0.0007402531,0.0006892993,0.0002058169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745728,0.001086035,0.02210813,0.0009083541,0.0002675819,0.000308857,0.00008273646,0.0006490961,0.00001637591],"genre_scores_gemma":[0.9933739,0.00002964443,0.00641403,0.00001253957,0.00002939712,0.00006491115,0.00002718432,0.00003377893,0.00001456915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02626199,"threshold_uncertainty_score":0.6117626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824363341588094,"score_gpt":0.247352516205973,"score_spread":0.2291088827900921,"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."}}