{"id":"W1909667470","doi":"","title":"Sensor dynamics of of autonomous underwater gliders","year":2008,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glider; Underwater glider; Underwater; Marine engineering; Sampling (signal processing); Engineering; Computer science; Environmental science; Aeronautics; Remote sensing; Oceanography; Geography; Geology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002788101,0.0002541198,0.0002903764,0.0005435653,0.0003655313,0.0005718191,0.0004895772,0.0003930868,0.0007366072],"category_scores_gemma":[0.00147412,0.0002387954,0.0001636643,0.000341737,0.0004351804,0.0006339611,0.0005767159,0.0003804595,0.000249247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005997602,"about_ca_system_score_gemma":0.000440176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676034,"about_ca_topic_score_gemma":0.01801205,"domain_scores_codex":[0.9997564,0.00002132741,0.00001053714,0.00006239333,0.0001125044,0.00003686835],"domain_scores_gemma":[0.9995522,0.000108066,0.00005803109,0.00004246832,0.0002019534,0.00003729535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004520218,0.0001604247,0.337752,0.0003487704,0.0002009348,0.001600153,0.003350622,0.2302758,0.1854353,0.005513287,0.00727166,0.227639],"study_design_scores_gemma":[0.00003521551,0.0003498903,0.2877261,0.00007442897,0.00006035679,0.0008197309,0.002299812,0.6639603,0.02508579,0.002381465,0.01712922,0.00007765784],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656301,0.0002684258,0.02626341,0.0002913792,0.00003107583,0.00004911439,0.0004654356,0.0001827926,0.00681836],"genre_scores_gemma":[0.992556,0.00009991507,0.005560846,0.0000550037,0.00000468078,0.00001879762,0.0003192678,0.00002550522,0.00135991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01676034,"threshold_uncertainty_score":0.03332561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415678059477635,"score_gpt":0.2382329961803397,"score_spread":0.2140762155855633,"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."}}