{"id":"W3208089148","doi":"10.32920/ryerson.14644833.v1","title":"Comparing the Environmental Impacts of Diesel Generated Electricity with Hybrid Diesel-Wind Electricity for off grid First Nation Communities in Ontario : Incorporating a Life Cycle Approach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diesel fuel; Environmental science; Wind power; Electricity; Life-cycle assessment; Turbine; Electricity generation; Automotive engineering; Environmental economics; Environmental engineering; Engineering; Production (economics); Economics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001568296,0.0004149225,0.0008521806,0.000201412,0.00134831,0.0003312865,0.0008894165,0.0002706391,0.00006974832],"category_scores_gemma":[0.0003653992,0.0003433683,0.0001823671,0.0005737029,0.0005348367,0.000353446,0.0005181048,0.0009902882,2.969136e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002386455,"about_ca_system_score_gemma":0.00208173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8443382,"about_ca_topic_score_gemma":0.9827273,"domain_scores_codex":[0.9966754,0.0006540518,0.0006862065,0.000465644,0.0008420884,0.0006766454],"domain_scores_gemma":[0.997717,0.000685777,0.0008432857,0.000420181,0.0002000008,0.0001337603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000431604,0.001282209,0.6208376,0.000242824,0.0006948312,0.000005563919,0.08374256,0.2863902,0.0003076386,0.001943065,0.0003964315,0.003725482],"study_design_scores_gemma":[0.00556803,0.0007524663,0.3942525,0.0008059254,0.0005215491,0.000008805292,0.3288302,0.2500331,0.009548771,0.004145036,0.001857074,0.00367662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898095,0.0007850784,0.001898247,0.0001611218,0.0002072202,0.001277467,0.00002422891,0.00006780455,0.005769364],"genre_scores_gemma":[0.9955757,0.0004491762,0.002612456,0.00008957937,0.0002890822,0.0002319059,0.0005360984,0.00004020091,0.0001758038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2450876,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752852306108256,"score_gpt":0.2474198741554242,"score_spread":0.1998913510943416,"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."}}