{"id":"W2119349236","doi":"10.1109/ests.2005.1524669","title":"Studying ship electric energy systems with shaft generator","year":2005,"lang":"en","type":"article","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Generator (circuit theory); Electric generator; Propulsion; Electrically powered spacecraft propulsion; Electric energy; Computer science; Electricity generation; Engineering; Marine engineering; Automotive engineering; Electrical engineering; Mechanical engineering; Aerospace engineering; Physics; Power (physics)","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":[0.0001683952,0.0004091989,0.0004261524,0.0002438784,0.0002596296,0.0005205604,0.0005012051,0.0003820052,0.002218856],"category_scores_gemma":[0.0007593152,0.0001930202,0.0003529615,0.0003498476,0.0003442381,0.000713863,0.0003410961,0.0002910247,0.0003237262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252535,"about_ca_system_score_gemma":0.000193736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002656011,"about_ca_topic_score_gemma":0.002117037,"domain_scores_codex":[0.9999064,0.00002977538,0.00000390801,0.00001834144,0.00002720326,0.0000142876],"domain_scores_gemma":[0.9997981,0.0001147952,0.00002961005,0.00001844733,0.00002809531,0.000011021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001464737,0.000098212,0.00623461,0.000220679,0.00006632137,0.0005191333,0.0001387949,0.9399149,0.02423109,0.0118488,0.0003359412,0.01624506],"study_design_scores_gemma":[0.00003642635,0.0002066395,0.004321421,0.00001583969,0.00002623519,0.0001663046,0.00009924643,0.9811536,0.006091574,0.004845909,0.003021268,0.00001556059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.905285,0.000681738,0.07541016,0.0001297638,0.00004280473,0.00007905596,0.0001547408,0.0001593775,0.01805733],"genre_scores_gemma":[0.9910586,0.0003944638,0.004660288,0.00000902941,0.00002165999,0.00002467499,0.00008065251,0.00002127917,0.003729331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002656011,"threshold_uncertainty_score":0.007422745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008629618901580515,"score_gpt":0.1905251078915859,"score_spread":0.1818954889900054,"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."}}