{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003903586,0.0004064957,0.0008714477,0.001631503,0.0005376865,0.00004443749,0.001669954,0.0007945444,0.00003965566],"category_scores_gemma":[0.00001489521,0.0005148905,0.0004269058,0.001258558,0.0004392233,0.0003792768,0.0002589041,0.00103305,0.00001990988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557299,"about_ca_system_score_gemma":0.0007562843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809795,"about_ca_topic_score_gemma":0.00120076,"domain_scores_codex":[0.9966274,0.0007011521,0.0005553027,0.0005086954,0.001031663,0.000575738],"domain_scores_gemma":[0.9970939,0.0002690119,0.000326177,0.0009636149,0.0010963,0.0002510065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02747738,0.002650425,0.002684378,0.01345479,0.0107648,0.008575572,0.04472744,0.02459213,0.8101695,0.02425866,0.02037274,0.01027217],"study_design_scores_gemma":[0.0107948,0.001390012,0.0007406063,0.001402813,0.0009374866,0.0001194659,0.1045678,0.008495275,0.5080622,0.0003384786,0.3602034,0.002947654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224801,0.0001356296,0.0005726292,0.00003081769,0.005322559,0.0009507573,0.0001680427,0.0003104095,0.170029],"genre_scores_gemma":[0.9312125,0.0006851314,0.000368316,6.733498e-7,0.0008391198,4.676206e-7,0.0004329206,0.00008611191,0.06637473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3398307,"threshold_uncertainty_score":0.9997303,"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."}}