{"id":"W2089587434","doi":"10.1109/oceans.2008.5151986","title":"Unmanned surface vehicles for undergraduate engineering education","year":2008,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Robotics; Field (mathematics); Engineering education; Project-based learning; Engineering management; Aeronautics; Unmanned surface vehicle; Robot; Engineering; Science and engineering; Computer science; Systems engineering; Artificial intelligence; Engineering ethics; Mechanical engineering; Mathematics education; Marine engineering; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005603466,0.00009870754,0.0001004809,0.00003646431,0.00007739202,0.00002124745,0.0001439702,0.00004220025,0.000005948701],"category_scores_gemma":[0.00000159452,0.00009753616,0.00004579758,0.00009451453,0.000009394472,0.0001070521,0.00001468984,0.00005150738,0.00004181616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050089,"about_ca_system_score_gemma":0.00002309384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002450173,"about_ca_topic_score_gemma":0.000006095212,"domain_scores_codex":[0.9995143,0.000007369719,0.0001678289,0.00008860627,0.00006732282,0.0001545213],"domain_scores_gemma":[0.9996216,0.00004318695,0.00001430686,0.000224025,0.000044971,0.00005192891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003133246,0.0003145404,0.005493336,0.001098773,0.0003814505,0.000002303559,0.003165527,0.3493935,0.5446299,0.0254453,0.04549494,0.02454903],"study_design_scores_gemma":[0.0008105769,0.00005666458,0.002649819,0.00008760728,0.00001954595,0.00005877552,0.0004165355,0.4302329,0.1880783,0.001290006,0.3755634,0.0007358409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951105,0.0008272507,0.197152,0.0007158444,0.0002569985,0.0003814099,0.000004188132,0.001011065,0.004540655],"genre_scores_gemma":[0.9833468,0.0001382648,0.01442463,0.00004195175,0.00005672776,0.00003989161,0.00001459159,0.00003280731,0.001904372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3565516,"threshold_uncertainty_score":0.3977409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779194525927375,"score_gpt":0.2139237696276224,"score_spread":0.1961318243683487,"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."}}