{"id":"W4378078009","doi":"10.3390/jmse11061104","title":"A Hardware-in-the-Loop Simulator to Optimize Autonomous Sailboat Performance in Real Ocean Conditions","year":2023,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Autopilot; Simulation; Crew; Hardware-in-the-loop simulation; Computer science; Sea trial; Marine engineering; Engineering; Control engineering; Aeronautics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002339062,0.0005381443,0.0002752573,0.000251565,0.0002452965,0.0003302736,0.0005471332,0.0003594014,0.001833343],"category_scores_gemma":[0.0007748249,0.0001938742,0.000240189,0.00009170197,0.0002059954,0.0002823981,0.0003350172,0.0004184084,0.0002449641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338161,"about_ca_system_score_gemma":0.0008327764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006846206,"about_ca_topic_score_gemma":0.006696037,"domain_scores_codex":[0.9999218,0.00001572881,0.00000428693,0.00001189428,0.00003116107,0.00001514888],"domain_scores_gemma":[0.9996494,0.0001477897,0.00004205043,0.00003125912,0.0000925125,0.00003698769],"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":[0.00009168103,0.00007301451,0.002379878,0.0000715092,0.00002383568,0.00006293626,0.00006733806,0.9735767,0.01264568,0.0002892945,0.0003642444,0.01035398],"study_design_scores_gemma":[0.00001921557,0.0001343074,0.0005248488,0.000003521011,0.000008651156,0.00001011747,0.00001415596,0.9953572,0.003299927,0.00007837018,0.0005444713,0.000005169163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.647816,0.0001785694,0.3369778,0.0001392165,0.0001331891,0.0003624668,0.0004122405,0.004312517,0.009667942],"genre_scores_gemma":[0.9766591,0.00003483082,0.02155828,0.0000166696,0.000003633344,0.0001012922,0.0001752377,0.00008278756,0.001368272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006846206,"threshold_uncertainty_score":0.01361275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066784000856475,"score_gpt":0.238475165670225,"score_spread":0.2278073256616602,"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."}}