{"id":"W2077113743","doi":"10.1016/j.biosystemseng.2011.08.008","title":"A new simulation model for multi-agricultural biomass logistics system in bioenergy production","year":2011,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of British Columbia","funders":"Oak Ridge National Laboratory; Biomass Program; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Cellulosic ethanol; Biomass (ecology); Bioenergy; Agriculture; Agricultural engineering; Environmental science; Ethanol fuel; Straw; Resource (disambiguation); Production (economics); Biofuel; Agricultural science; Agricultural economics; Business; Waste management; Agronomy; Engineering; Computer science; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009971166,0.000191815,0.0001722037,0.000235614,0.00002330719,0.00002409947,0.00009917433,0.0001020681,0.000001284881],"category_scores_gemma":[0.00002530907,0.0001797208,0.00004981277,0.0002937145,0.000004359178,0.0001337451,0.00001705644,0.00003986931,0.000006392974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002212178,"about_ca_system_score_gemma":0.000007873838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005656313,"about_ca_topic_score_gemma":0.0001037809,"domain_scores_codex":[0.9991112,0.000005647191,0.0003340478,0.0002016952,0.00009741381,0.0002500304],"domain_scores_gemma":[0.9996746,0.000007947619,0.00003821296,0.000161454,0.00004402874,0.00007377168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004387749,0.00001159825,0.000116507,0.0008036983,0.00002415163,0.000001200622,0.0002634152,0.9829469,0.01102622,0.004466254,0.0001363926,0.000199228],"study_design_scores_gemma":[0.0003477451,0.00001192312,0.0008633991,0.0001381937,0.00001303304,0.000002540073,0.0001137327,0.9912157,0.006473234,0.000001968673,0.0005942538,0.0002242425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0210875,0.000160385,0.9757192,0.000003222382,0.001353352,0.0006095564,0.000009435065,0.0008745716,0.000182759],"genre_scores_gemma":[0.9757013,0.000004359152,0.02379745,0.000001181891,0.0001311025,0.00007809096,0.00002644515,0.00004131801,0.0002187655],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9546138,"threshold_uncertainty_score":0.7328803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06271002454626276,"score_gpt":0.2257982736148407,"score_spread":0.163088249068578,"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."}}