{"id":"W3093836929","doi":"10.3390/pr8101327","title":"Biomass Pretreatment with the Szego Mill™ for Bioethanol and Biogas Production","year":2020,"lang":"en","type":"article","venue":"Processes","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biofuel; Pulp and paper industry; Biomass (ecology); Biogas; Lignocellulosic biomass; Anaerobic digestion; Ethanol fuel; Straw; Wet-milling; Hydrolysis; Chemistry; Materials science; Methane; Agronomy; Waste management; Organic chemistry","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":[0.0001513532,0.0005596234,0.000329791,0.0003975538,0.0002142727,0.0002964083,0.0001918208,0.000194288,0.001431586],"category_scores_gemma":[0.0001332194,0.0001541661,0.000530044,0.0004378748,0.0001679704,0.0002631836,0.0002728043,0.0003993684,0.0004083361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293542,"about_ca_system_score_gemma":0.0002849287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008299846,"about_ca_topic_score_gemma":0.002909398,"domain_scores_codex":[0.9998864,0.000008787581,0.000008108897,0.00001921784,0.00005123989,0.00002621216],"domain_scores_gemma":[0.9999638,0.000005594667,0.00001096949,0.000004243906,0.000008259682,0.000007258981],"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":[0.00006645858,0.00001331302,0.0001490605,0.00008756208,0.00001052012,0.00005428621,0.00001244576,0.0001650121,0.9960256,0.00007988479,0.00003554331,0.003300233],"study_design_scores_gemma":[0.000006470843,0.0001287127,0.003667483,0.000005722908,0.00002900009,0.00008696214,0.00002306734,0.0004461173,0.9928029,0.00004317137,0.002751999,0.000008342854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772663,0.002665454,0.01638701,0.0001086077,0.00009459855,0.00007349447,0.0004826801,0.00008110153,0.002840857],"genre_scores_gemma":[0.9758715,0.002735071,0.01615911,0.00008104806,0.00001888579,0.0000544405,0.0008568014,0.00004622972,0.004176898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001431586,"threshold_uncertainty_score":0.004789114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852723305151187,"score_gpt":0.2037396160780824,"score_spread":0.1852123830265705,"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."}}