{"id":"W4313646688","doi":"10.20944/preprints202301.0111.v1","title":"Economic Analysis of Sustainable Transportation Transitions: Case Study of the University of Saskatchewan Ground Services Fleet","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Greenhouse gas; Sustainability; Payback period; Investment (military); Environmental economics; Internal rate of return; Renewable energy; Business; Natural resource economics; Engineering; Economics; Production (economics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001287753,0.0007711764,0.0004415694,0.002351988,0.002231671,0.002682978,0.001094553,0.001691772,0.004647899],"category_scores_gemma":[0.002332347,0.000387003,0.001397088,0.004021006,0.001172457,0.001131918,0.001231025,0.001622955,0.0002381726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02139071,"about_ca_system_score_gemma":0.007530355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.495733,"about_ca_topic_score_gemma":0.5490099,"domain_scores_codex":[0.9990032,0.0003631456,0.00003051242,0.00007192598,0.0001494687,0.0003817359],"domain_scores_gemma":[0.9982877,0.001032462,0.0001039497,0.00006243764,0.000316743,0.0001966439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001247106,0.002576774,0.1145288,0.0004525592,0.0004557228,0.01981755,0.001755025,0.7849091,0.005089886,0.03581773,0.005879633,0.02747026],"study_design_scores_gemma":[0.0002553512,0.001402556,0.1663255,0.0002387945,0.0003275012,0.00103792,0.04744271,0.7537918,0.004897428,0.008376597,0.01564167,0.0002621892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857637,0.0001364755,0.0008510209,0.0004492585,0.00001214437,0.0001691591,0.0005728034,0.000009745814,0.01203572],"genre_scores_gemma":[0.9947191,0.000276907,0.000825587,0.00005267493,0.000004970863,0.00007086612,0.0003331229,0.0000055736,0.003711062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.504267,"threshold_uncertainty_score":0.9856951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1528157024059774,"score_gpt":0.2992991512411353,"score_spread":0.1464834488351578,"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."}}