{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008030258,0.0003717197,0.0001685608,0.0004943075,0.000571606,0.001331692,0.0008684149,0.0006083809,0.002124413],"category_scores_gemma":[0.0005800981,0.0001752021,0.0002463442,0.0003705876,0.001515804,0.001779588,0.0008448078,0.001025553,0.0008812115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190764,"about_ca_system_score_gemma":0.002682966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005006632,"about_ca_topic_score_gemma":0.00489547,"domain_scores_codex":[0.9993912,0.00009302476,0.00002330788,0.00008193372,0.0003452222,0.00006527494],"domain_scores_gemma":[0.9994385,0.0000396351,0.00003190037,0.00006660412,0.0003429701,0.00008038282],"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":[0.0002010207,0.0002844726,0.009707872,0.001189189,0.00003140162,0.0004782752,0.00156534,0.01440031,0.08861014,0.2127465,0.01733399,0.6534514],"study_design_scores_gemma":[0.00003919797,0.001340799,0.003633636,0.0004337389,0.00003776556,0.0009556453,0.001189181,0.02898843,0.07054884,0.01033636,0.8824123,0.00008406251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1922958,0.01510641,0.5526233,0.01037724,0.001065095,0.00120024,0.0005849191,0.00250742,0.2242396],"genre_scores_gemma":[0.4611788,0.008212866,0.4569779,0.001364823,0.0001097053,0.0004316345,0.001048397,0.0002966032,0.07037937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005006632,"threshold_uncertainty_score":0.009954989,"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."}}