{"id":"W2897690921","doi":"10.1016/j.rser.2018.08.045","title":"Assessing life cycle impacts and the risk and uncertainty of alternative bus technologies","year":2018,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Department for the Economy","keywords":"Life-cycle assessment; Total cost of ownership; Drivetrain; Greenhouse gas; Diesel fuel; Battery (electricity); Engineering; Environmental economics; Baseline (sea); Automotive engineering; Computer science; Economics; Production (economics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002844252,0.001210049,0.0007520911,0.002066191,0.0002450205,0.002270711,0.0009717562,0.001728001,0.001675605],"category_scores_gemma":[0.007606884,0.0004084301,0.0008296307,0.002167489,0.0007702671,0.003016717,0.0008248035,0.001245334,0.0002008662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090164,"about_ca_system_score_gemma":0.001155442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00697865,"about_ca_topic_score_gemma":0.008443691,"domain_scores_codex":[0.998382,0.0007553893,0.0000579542,0.00008855478,0.0006084032,0.0001076908],"domain_scores_gemma":[0.9946908,0.004078918,0.0005478578,0.0001151535,0.0005040383,0.00006317154],"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":[0.0001984002,0.00007386172,0.007178504,0.0006861911,0.0006089811,0.0001924236,0.0001025543,0.8628661,0.001383549,0.03207736,0.001487925,0.09314419],"study_design_scores_gemma":[0.00004157706,0.0007844591,0.02037456,0.0008921272,0.0009031617,0.0003332272,0.0009510955,0.6973382,0.007483102,0.2380054,0.03268768,0.0002053445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5536643,0.2158402,0.1566942,0.008255274,0.0007037953,0.0001263992,0.001397921,0.0002271985,0.06309094],"genre_scores_gemma":[0.9397408,0.05179889,0.005288036,0.0001340101,0.0001985773,0.00002625291,0.0002498179,0.00003289739,0.00253051],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00697865,"threshold_uncertainty_score":0.01516533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006839683937092726,"score_gpt":0.2292917614628295,"score_spread":0.2224520775257368,"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."}}