{"id":"W2791605348","doi":"10.1007/978-3-319-69399-6_6","title":"Using Life Cycle Assessment to Facilitate Energy Mix Planning in the Galapagos Islands","year":2018,"lang":"en","type":"book-chapter","venue":"Social and ecological interactions in the Galapagos Islands","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Life-cycle assessment; Greenhouse gas; Diesel fuel; Energy mix; Environmental impact assessment; Natural resource economics; Biodiesel; Environmental science; Fossil fuel; Environmental economics; Business; Engineering; Waste management; Economics; Ecology; Production (economics); Electricity generation","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":[],"consensus_categories":[],"category_scores_codex":[0.0004779451,0.0003310039,0.0003740492,0.000208219,0.0004654067,0.0001756482,0.0003616285,0.0002746056,0.0008156298],"category_scores_gemma":[0.00004354248,0.0002192106,0.0001285234,0.0001766223,0.0001681903,0.0001208488,0.0000956455,0.0009457674,0.00005282174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709438,"about_ca_system_score_gemma":0.00002930241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004149803,"about_ca_topic_score_gemma":0.0005117537,"domain_scores_codex":[0.9985537,0.00009909285,0.0004016756,0.0003755595,0.0002187762,0.0003512287],"domain_scores_gemma":[0.9992797,0.000263849,0.00008515927,0.0002557267,0.00005458338,0.00006100485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003938591,0.001491917,0.00507297,0.0004579734,0.001305408,0.0001710848,0.1661774,0.02348408,0.0010805,0.141222,0.641863,0.01727978],"study_design_scores_gemma":[0.0007495204,0.0002462049,0.01582803,0.0001715428,0.0001414462,0.00009770496,0.01085389,0.01745807,0.00001141829,0.03243203,0.9209138,0.001096376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06368568,0.0003061792,0.002597038,0.006626884,0.001802378,0.001012614,0.000250692,0.0002458919,0.9234726],"genre_scores_gemma":[0.9855541,0.0001525487,0.0001830319,0.001091721,0.00106064,0.0002429523,0.00006671692,0.00002966979,0.01161865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9218684,"threshold_uncertainty_score":0.8939148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1239865348847299,"score_gpt":0.3316279890256114,"score_spread":0.2076414541408814,"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."}}