{"id":"W4403977202","doi":"10.1109/tim.2024.3488155","title":"A Cooperative Heterogeneous System Design of Unmanned Aerial and Surface Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Remotely operated underwater vehicle; Aerospace engineering; Computer science; Systems engineering; Engineering; Mobile robot; 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":[0.0002362882,0.0001284304,0.0001674306,0.000108267,0.00006943649,0.00003858148,0.00002373287,0.000041636,0.00001696679],"category_scores_gemma":[8.727804e-7,0.000121154,0.00003916677,0.0001364077,0.00002898345,0.00009202243,3.671465e-7,0.0000623068,0.00000593529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434945,"about_ca_system_score_gemma":0.00002125071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007164833,"about_ca_topic_score_gemma":0.00005831122,"domain_scores_codex":[0.999153,0.00007785457,0.0002614397,0.0001646946,0.0002466823,0.00009630557],"domain_scores_gemma":[0.9997646,0.0000229941,0.00001619927,0.00008273478,0.0000566739,0.00005678726],"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":[0.00006548351,0.00002680912,0.000005081512,0.0006806913,0.0005850421,0.000005100648,0.001998517,0.8099092,0.1745129,0.0000838706,0.00004989066,0.01207747],"study_design_scores_gemma":[0.0008814404,0.0002732335,0.00002871779,0.0005023748,0.000279152,0.0000447359,0.002057972,0.5689496,0.4265879,0.000007285002,0.0001350763,0.000252493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5074093,0.0008313099,0.4906896,0.00001779852,0.0004958019,0.0003238496,0.00003353249,0.0001419498,0.00005681751],"genre_scores_gemma":[0.9992039,0.0001816996,0.0005263981,0.000005473305,0.00001334844,0.0000315816,0.00000132344,0.00001715256,0.00001914667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4917945,"threshold_uncertainty_score":0.4940516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699298996663426,"score_gpt":0.2198348922725117,"score_spread":0.1928419023058774,"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."}}