{"id":"W880304810","doi":"","title":"Energy efficient navigational methods for autonomous underwater gliders in surface denied regions","year":2015,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underwater glider; Terrain; Underwater; Control theory (sociology); Controller (irrigation); Linear-quadratic regulator; Computer science; Glider; Control engineering; Simulation; Engineering; Real-time computing; Marine engineering; Artificial intelligence; Geography; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001449576,0.0004785513,0.0007152766,0.001319794,0.0008600832,0.000201386,0.001640636,0.0008733696,0.00002077413],"category_scores_gemma":[0.00002758895,0.0006117478,0.000339779,0.001480985,0.0002150378,0.000354185,0.0002627526,0.001018491,0.00002187323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003782416,"about_ca_system_score_gemma":0.001337245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002832014,"about_ca_topic_score_gemma":0.001869725,"domain_scores_codex":[0.9954671,0.001577996,0.000486067,0.0007910135,0.0008255985,0.0008522691],"domain_scores_gemma":[0.9967325,0.0006832742,0.0001850088,0.0008057817,0.001166504,0.0004269518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03053051,0.002319567,0.000287458,0.003317661,0.004613085,0.00337075,0.03292255,0.4084437,0.3662054,0.06636655,0.0639179,0.01770491],"study_design_scores_gemma":[0.006502111,0.0002907482,0.00004264737,0.0003575806,0.0002253217,0.00002223518,0.02142604,0.03479438,0.03630635,0.001566479,0.8971382,0.001327957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6643109,0.001081845,0.06765112,0.0003767533,0.02947252,0.005257114,0.00026942,0.001692642,0.2298876],"genre_scores_gemma":[0.8459457,0.0002691883,0.009370758,0.000007090679,0.003048413,0.000009174585,0.001899694,0.0002395655,0.1392104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8332202,"threshold_uncertainty_score":0.9996334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514411718938784,"score_gpt":0.3095635977821107,"score_spread":0.2644194805927229,"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."}}