{"id":"W4281263290","doi":"10.1007/s10668-022-02393-5","title":"Energy and emissions analysis of the hyperloop transportation system","year":2022,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Energy consumption; Environmental science; Electricity; Greenhouse gas; Energy modeling; Public transport; Work (physics); Transport engineering; Abu dhabi; Automotive engineering; Engineering; Geography; Electrical engineering; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002310421,0.0002736956,0.0003008176,0.0004992649,0.0003802751,0.0006211518,0.0002629627,0.0004037024,0.004759191],"category_scores_gemma":[0.0003968284,0.0001231568,0.000504681,0.0002745727,0.0003398413,0.0005986134,0.0004364628,0.0002904055,0.0001750427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006156282,"about_ca_system_score_gemma":0.0005187001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01509275,"about_ca_topic_score_gemma":0.009185527,"domain_scores_codex":[0.9998889,0.00003722348,0.000003692977,0.00001786609,0.00002275174,0.00002955093],"domain_scores_gemma":[0.9998349,0.00008690625,0.00001779284,0.000008876136,0.00004306182,0.000008500361],"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":[0.00008989489,0.00003274956,0.002082404,0.00002226438,0.00002576273,0.00008337611,0.00003364381,0.9845793,0.003969608,0.004877693,0.0001926913,0.004010583],"study_design_scores_gemma":[0.000003933607,0.00004491675,0.002199503,0.000002001703,0.000007543796,0.0000101266,0.00004107309,0.9954495,0.0005959661,0.001402595,0.0002375018,0.000005313902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313514,0.0001081735,0.05064249,0.0001361027,0.00001605771,0.00003555608,0.0003168922,0.0001162958,0.0172769],"genre_scores_gemma":[0.9967591,0.00001906212,0.0007228111,0.000006335359,0.000002181097,0.000008809677,0.00006579309,0.00001002657,0.002405931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01509275,"threshold_uncertainty_score":0.03000981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003696396642139308,"score_gpt":0.1762806630328569,"score_spread":0.1725842663907176,"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."}}