{"id":"W4206177703","doi":"10.3390/en15020592","title":"Variable Speed Diesel Generators: Performance and Characteristic Comparison","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski","funders":"","keywords":"Automotive engineering; Diesel generator; Diesel fuel; Diesel engine; Backup; Electrical load; Fuel efficiency; Electric power; Environmental science; Power (physics); Engineering; Electrical engineering; Mechanical engineering; Voltage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007820172,0.0001098674,0.0001505627,0.0001025773,0.0002024687,0.00003268666,0.0001983999,0.00002790123,0.0001817061],"category_scores_gemma":[0.00002072022,0.0001155055,0.00001089277,0.0002207267,0.00005724575,0.0001293253,0.0003219153,0.0002680285,0.000009547766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008581345,"about_ca_system_score_gemma":0.000008399856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005659878,"about_ca_topic_score_gemma":7.39265e-7,"domain_scores_codex":[0.999284,0.00001567858,0.0001304783,0.0001418065,0.0001638864,0.0002641538],"domain_scores_gemma":[0.9996905,0.00003965856,0.00001699456,0.0002112925,0.0000131557,0.00002845374],"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":[0.00001484295,0.00002363516,0.008659948,0.0001013651,0.00003825917,0.000009510228,0.0002229038,0.9081386,0.05697308,0.00134254,0.006573433,0.01790182],"study_design_scores_gemma":[0.0005308518,0.0002499011,0.0122149,0.00002118226,0.00001379442,0.00003880147,0.001306301,0.631532,0.0690105,0.0006906977,0.2837012,0.000689851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961801,0.0006802124,0.0005313191,0.00003748975,0.0002307677,0.00006198248,0.00001599434,0.0005999295,0.001662263],"genre_scores_gemma":[0.9961675,0.0001878917,0.002987276,0.00002281866,0.00004525879,0.00005542925,0.00001595582,0.00002685347,0.0004910242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2771277,"threshold_uncertainty_score":0.4710178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393165585520135,"score_gpt":0.2329067639906966,"score_spread":0.2189751081354953,"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."}}