{"id":"W3127355168","doi":"10.1109/epec48502.2020.9320082","title":"Modelling Prime Diesel Electric Generator Fuel Consumption across Genset Sizings","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University","funders":"","keywords":"Diesel generator; Diesel fuel; Prime mover; Sizing; Fuel efficiency; Generator (circuit theory); Automotive engineering; Population; Engineering; Power (physics); Physics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001467756,0.0005211493,0.0005124136,0.0001080961,0.0002405108,0.0002242304,0.0002984301,0.0002682761,0.00009399921],"category_scores_gemma":[0.00003139813,0.0005400011,0.0001217782,0.0007241503,0.00004070427,0.0003090983,0.00005411555,0.0004842735,0.00004205477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007700911,"about_ca_system_score_gemma":0.0000940924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008226059,"about_ca_topic_score_gemma":0.00002330001,"domain_scores_codex":[0.9974372,0.00005515716,0.0004955944,0.0006367983,0.0003210669,0.001054188],"domain_scores_gemma":[0.999,0.00009311413,0.000095171,0.0002433338,0.000117173,0.0004512639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002757859,0.0001244657,0.0009661702,0.0004892157,0.0007481601,0.0002293508,0.007118214,0.3397396,0.5778875,0.008993064,0.008476166,0.0549523],"study_design_scores_gemma":[0.0005824532,0.0001940565,0.00007538635,0.0000412459,0.00004767931,0.00004729797,0.00003509297,0.9340591,0.04670373,0.0002567447,0.01715816,0.0007990179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7959182,0.01154339,0.186361,0.0001676346,0.0007831542,0.0001105187,0.00003757742,0.0009309248,0.004147665],"genre_scores_gemma":[0.9905115,0.007628299,0.0004764476,0.0005028142,0.0004389352,0.00003272771,0.00003813811,0.00009115307,0.0002800181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5943195,"threshold_uncertainty_score":0.9997051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274533829615303,"score_gpt":0.2153661909632841,"score_spread":0.1926208526671311,"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."}}