{"id":"W4399843459","doi":"10.1016/j.trd.2024.104295","title":"Life cycle costing analysis of a retrofitted hydrogen-powered locomotive: Canadian context","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Context (archaeology); Activity-based costing; Life cycle costing; Engineering; Life-cycle cost analysis; Aeronautics; Transport engineering; Automotive engineering; Business; Geography; Reliability engineering; Accounting","routes":{"ca_aff":false,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001212042,0.0002384435,0.0004756436,0.001754267,0.0002983701,0.0001020859,0.0002038915,0.000116207,0.001840669],"category_scores_gemma":[0.00005109415,0.0002385594,0.0002666484,0.002340294,0.0002660701,0.0004815945,0.000007955103,0.0003373422,0.0001093805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009722712,"about_ca_system_score_gemma":0.0001272353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1029182,"about_ca_topic_score_gemma":0.1169243,"domain_scores_codex":[0.9972417,0.00003386541,0.0006739496,0.0006220185,0.0008393196,0.0005891321],"domain_scores_gemma":[0.9991546,0.0001269168,0.000100612,0.0003063524,0.000104226,0.0002073149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008597312,0.000135282,0.9717026,0.0005433677,0.002822864,0.0002223724,0.001210134,0.01174057,0.0005425707,0.003540643,0.0006027161,0.006850892],"study_design_scores_gemma":[0.0005074758,0.00002849449,0.8942814,0.0001725177,0.002498146,2.366956e-7,0.001116014,0.03797774,0.0001068326,0.0002984919,0.06261367,0.000399008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949912,0.0008513264,0.0003825784,0.001677733,0.00006609924,0.0003844209,0.000170703,0.00009265452,0.001383248],"genre_scores_gemma":[0.9978415,0.0003126417,0.00003973974,0.0002780129,0.0001334602,0.00005819246,0.001114829,0.00004076,0.0001808846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07742125,"threshold_uncertainty_score":0.9990718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03835311015030152,"score_gpt":0.2755126112532011,"score_spread":0.2371595011028996,"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."}}