{"id":"W1994377520","doi":"10.1016/j.biortech.2011.07.119","title":"Optimal configuration and combination of multiple lignocellulosic biomass feedstocks delivery to a biorefinery","year":2011,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biorefinery; Biomass (ecology); Corn stover; Lignocellulosic biomass; Bioenergy; Environmental science; Straw; Pulp and paper industry; Biofuel; Agronomy; Waste management; Engineering; Biology","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":[0.0002287702,0.0005276768,0.0004951695,0.0005221792,0.0003041499,0.001059895,0.0003529532,0.0003675904,0.0009385899],"category_scores_gemma":[0.0003387262,0.0004090423,0.0002768792,0.0004856417,0.0001760448,0.0008081844,0.0003343621,0.0003505629,0.0003311046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007084382,"about_ca_system_score_gemma":0.0005781435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007072806,"about_ca_topic_score_gemma":0.002878404,"domain_scores_codex":[0.999779,0.00003232622,0.00002128632,0.00006187466,0.00005530694,0.00005017059],"domain_scores_gemma":[0.9998876,0.00001883081,0.00003924303,0.00001146039,0.00002027599,0.00002263933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003446428,0.0002208697,0.0006833127,0.000105209,0.00001893461,0.00007957801,0.00001759534,0.01302809,0.9712667,0.0004047951,0.0001112298,0.01371903],"study_design_scores_gemma":[0.00002405702,0.0005301237,0.001240825,0.00001346468,0.00005215444,0.00006852748,0.00004628146,0.01902747,0.9774969,0.0001910086,0.001293911,0.00001513248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847085,0.0008463839,0.01127192,0.00008592056,0.00003224698,0.00004361914,0.00008780004,0.00006563039,0.00285788],"genre_scores_gemma":[0.9907109,0.0004221764,0.008063652,0.00001582287,0.00000770009,0.00003239832,0.00004733794,0.00001904408,0.0006810311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001059895,"threshold_uncertainty_score":0.005140066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339363797000925,"score_gpt":0.1866105646735508,"score_spread":0.1732169267035416,"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."}}