{"id":"W4383875229","doi":"10.1109/icat57854.2023.10171320","title":"Control-Oriented Modeling and Cascade Control of Container Ships","year":2023,"lang":"en","type":"article","venue":"","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Waypoint; Container (type theory); Propeller; Control (management); Controller (irrigation); Computer science; Control engineering; Nonlinear system; Engineering; Motion control; Vehicle dynamics; Marine engineering; Real-time computing; Automotive engineering; Robot; Artificial intelligence","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":[0.0002393518,0.0000987548,0.0002105858,0.00006523418,0.00002319805,0.000008457522,0.00005008749,0.00005985612,0.00001916258],"category_scores_gemma":[0.00005168405,0.00008822661,0.00004020322,0.0001259217,0.00002419261,0.00005437417,0.00001367805,0.00008928683,0.000006372201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001956073,"about_ca_system_score_gemma":0.000005984528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001269548,"about_ca_topic_score_gemma":0.00009136549,"domain_scores_codex":[0.9993651,0.00001636061,0.0002087931,0.0001265428,0.00009218286,0.0001910205],"domain_scores_gemma":[0.9996291,0.0001069813,0.00001307177,0.0001495117,0.00003864802,0.00006263095],"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":[0.00005213239,0.00001791462,0.005952461,0.0001269968,0.0001244888,0.00000927645,0.0002315597,0.9528672,0.01994277,0.01988351,0.0002075372,0.0005842239],"study_design_scores_gemma":[0.0011675,0.00001738489,0.001351882,0.000005909637,0.00001790326,0.000001667766,0.00007463453,0.996292,0.0002024422,0.0006333938,0.0001402651,0.00009503395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898729,0.0000716689,0.108211,0.0001147483,0.00012993,0.0001637484,0.00002319288,0.0003367328,0.001076114],"genre_scores_gemma":[0.9997541,0.00002206021,0.00005795953,0.00005251739,0.0000223422,0.00001281104,0.000005787239,0.00001804405,0.00005433765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1098812,"threshold_uncertainty_score":0.3597777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008564825702877069,"score_gpt":0.2061321491841027,"score_spread":0.1975673234812256,"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."}}