{"id":"W2949878671","doi":"10.1109/auv.2018.8729732","title":"The idea, design and current state of development of an Unmanned Submersible Surface Vehicle: USSC SeaDuck","year":2018,"lang":"en","type":"article","venue":"2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV)","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Research Council Canada; Suncor Energy Incorporated","keywords":"Underwater; Marine engineering; Current (fluid); Underwater glider; Unmanned surface vehicle; State (computer science); Engineering; Surface (topology); Computer science; Intervention AUV; Glider; Sea state; Remotely operated underwater vehicle; Aerospace engineering; Mobile robot; Robot; Geology; Electrical engineering; Artificial intelligence; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001198799,0.0004580093,0.0005482445,0.0001383039,0.000512777,0.000192325,0.0008878394,0.0001398296,0.00002862605],"category_scores_gemma":[0.000003018569,0.0003610214,0.00009603262,0.0003886782,0.000519738,0.0004163058,0.0002162802,0.0003236692,0.00008590332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927492,"about_ca_system_score_gemma":0.0001773619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005641396,"about_ca_topic_score_gemma":0.0002772411,"domain_scores_codex":[0.9968269,0.0003025901,0.001166003,0.0004721275,0.0004194413,0.0008128796],"domain_scores_gemma":[0.9978889,0.0002525741,0.0002976332,0.001042767,0.0002641474,0.0002539512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004217559,0.0005319337,0.001854197,0.0007191729,0.0008409991,0.000005102879,0.02777935,0.04415073,0.4010737,0.0000667596,0.001324901,0.5212314],"study_design_scores_gemma":[0.001065114,0.0002341015,0.002234059,0.0002830809,0.00005852132,0.00001042605,0.0009230236,0.1262269,0.8426473,0.0006104162,0.02498746,0.0007196222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327974,0.001564102,0.06410834,0.0001470741,0.0003735082,0.0006425743,0.00001264335,0.0002334649,0.0001208905],"genre_scores_gemma":[0.9883317,0.0003607616,0.01046365,0.00002616154,0.00008838782,0.00004049778,0.00001353503,0.0001044876,0.0005707609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5205118,"threshold_uncertainty_score":0.9998842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295500844341398,"score_gpt":0.2521810175405312,"score_spread":0.2226309331063914,"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."}}