{"id":"W4383456853","doi":"10.1016/b978-0-12-820361-3.00001-2","title":"Biodiesel plants: real-world sustainability analysis using environmental and social life cycle assessment","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Sustainability; Life-cycle assessment; Biodiesel; Greenhouse gas; Biodiesel production; Environmental economics; Natural resource economics; Biofuel; Engineering; Environmental science; Production (economics); Waste management; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007832421,0.0007868523,0.001066557,0.000302909,0.0007119371,0.000110435,0.0003763297,0.0004109473,0.002923477],"category_scores_gemma":[0.0000160039,0.0007878647,0.0005467039,0.00007642715,0.001626733,0.0002334828,0.00132533,0.0006781937,0.0001739932],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003951763,"about_ca_system_score_gemma":0.0000920962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415728,"about_ca_topic_score_gemma":0.0005880042,"domain_scores_codex":[0.9960648,0.0001467937,0.0007992305,0.001246308,0.000922701,0.000820182],"domain_scores_gemma":[0.9983044,0.0001144447,0.0004138907,0.0007540085,0.000007444528,0.0004058513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001679753,0.0003251064,0.1747962,0.0004441073,0.002867296,0.0003466958,0.003906631,0.0009322538,0.0002803839,0.001723162,0.0002523838,0.8139578],"study_design_scores_gemma":[0.001292108,0.0002479027,0.717355,0.00005765716,0.003958815,0.00001332551,0.00303552,0.002903733,0.00002298116,0.03689057,0.2308479,0.003374523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2051883,0.00006355708,0.00001040837,0.0001990787,0.000127503,0.001327003,0.0005055811,0.0001520894,0.7924265],"genre_scores_gemma":[0.3276992,0.0001379989,0.0002229851,0.0002658272,0.0001177999,0.00004175745,0.0001848858,0.0001180739,0.6712115],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8105832,"threshold_uncertainty_score":0.9998719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681256340933519,"score_gpt":0.2783928332875102,"score_spread":0.261580269878175,"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."}}