{"id":"W2989853760","doi":"10.1115/detc2019-97382","title":"Modeling, Simulation and Assessment of a Hybrid Electric Ferry: Case Study for Mid-Size Ferry","year":2019,"lang":"en","type":"article","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Powertrain; Automotive engineering; Electrification; Propulsion; Diesel fuel; Work (physics); Electrically powered spacecraft propulsion; Engineering; Computer science; Environmental science; Marine engineering; Electricity; Electrical engineering; Mechanical engineering; Torque; Aerospace engineering","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":[0.0002669274,0.0004718009,0.0004346245,0.0004208333,0.0005686673,0.0007677502,0.0007286196,0.001250672,0.00293219],"category_scores_gemma":[0.0003902635,0.0002095284,0.0004933813,0.0002815523,0.0004643659,0.0005187527,0.0004244996,0.0005131111,0.0002572911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007488668,"about_ca_system_score_gemma":0.000520952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02365114,"about_ca_topic_score_gemma":0.01949837,"domain_scores_codex":[0.9999124,0.00002120781,0.000003853635,0.00001443255,0.0000214957,0.00002669741],"domain_scores_gemma":[0.999804,0.00009545627,0.00001905255,0.0000155539,0.00003992704,0.00002607659],"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":[0.00007828094,0.000131687,0.002841233,0.00002583468,0.000009802056,0.0002980562,0.00004921796,0.9904997,0.002860726,0.0006226125,0.0002369427,0.002345995],"study_design_scores_gemma":[0.00001578347,0.0001042086,0.001090264,0.000003232437,0.000006246428,0.00001824949,0.00007046357,0.9969935,0.001142005,0.0001736933,0.0003766998,0.000005574454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730593,0.00005773195,0.01452026,0.000153706,0.0000222876,0.00007362386,0.0002735265,0.0001735292,0.01166617],"genre_scores_gemma":[0.994086,0.00003347103,0.002452944,0.000008003996,0.000002303625,0.00002920693,0.00007274844,0.00001168075,0.003303637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02365114,"threshold_uncertainty_score":0.04702693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108829236847408,"score_gpt":0.3085408950421222,"score_spread":0.2874526026736481,"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."}}