{"id":"W2963432909","doi":"10.1016/j.biombioe.2019.105287","title":"The development of a cost model for two supply chain network scenarios for decentralized pyrolysis system scenarios to produce bio-oil","year":2019,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Cenovus Energy","keywords":"Biomass (ecology); Supply chain; Environmental science; Pyrolysis; Biofuel; Production (economics); Relocation; Bioenergy; Waste management; Computer science; Engineering; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007332151,0.0008101437,0.0008249156,0.0007744122,0.0009007471,0.001525965,0.001463189,0.002130342,0.00710346],"category_scores_gemma":[0.001634052,0.0007049046,0.0009937359,0.0009799448,0.000492345,0.001596468,0.0007192725,0.001487828,0.0003832028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003625738,"about_ca_system_score_gemma":0.002971808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04422117,"about_ca_topic_score_gemma":0.03553739,"domain_scores_codex":[0.9997416,0.0001075928,0.000008296343,0.00003169211,0.0000488311,0.00006191868],"domain_scores_gemma":[0.9992096,0.0005009077,0.00005508232,0.00003420338,0.0001355482,0.0000645745],"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":[0.00001311067,0.0000151599,0.0001323105,0.000009053392,0.000003447983,0.00002407416,0.000005413369,0.9968688,0.0001122367,0.002032491,0.0001101146,0.0006738927],"study_design_scores_gemma":[0.00001065195,0.00001316012,0.00008541226,0.000002742082,0.000003542489,0.000003791113,0.00001380514,0.9984983,0.00009613907,0.001020279,0.0002486275,0.000003518433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5815011,0.000436661,0.3116294,0.002022133,0.0001713092,0.0008416848,0.003804214,0.0004865993,0.09910683],"genre_scores_gemma":[0.9684101,0.0001459111,0.01954906,0.00006094651,0.00001397268,0.0002930112,0.0005117,0.00005943739,0.01095585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04422117,"threshold_uncertainty_score":0.08792752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132364540772135,"score_gpt":0.2171715708395081,"score_spread":0.2058479254317868,"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."}}