{"id":"W2004412727","doi":"10.1109/oceans.2010.5664360","title":"Underwater glider retrieval using an autonomous surface vehicle","year":2010,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Glider; Underwater glider; Architecture; Naval architecture; Underwater; Systems engineering; Computer science; Marine engineering; Engineering; Aeronautics; Engineering management; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001942039,0.0002369202,0.0004116709,0.0002743338,0.0003490354,0.0004945736,0.0005206245,0.0004270489,0.001169229],"category_scores_gemma":[0.0002553636,0.0001625328,0.0002195117,0.0001731864,0.0002964903,0.0005460724,0.0005725859,0.0002595373,0.0005433288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243217,"about_ca_system_score_gemma":0.0007476517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005343091,"about_ca_topic_score_gemma":0.008207003,"domain_scores_codex":[0.9998739,0.00001392549,0.000003441381,0.00002305243,0.00006304849,0.00002262288],"domain_scores_gemma":[0.9998677,0.0000199252,0.000007548414,0.00002415953,0.00006006736,0.00002060323],"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":[0.0004078341,0.000116636,0.006975257,0.0001346976,0.00005973865,0.000774526,0.000742045,0.03531444,0.7465375,0.002039898,0.003515289,0.2033821],"study_design_scores_gemma":[0.0001897653,0.002367755,0.01306254,0.00002855701,0.00009604033,0.001207198,0.00131913,0.5746273,0.3636794,0.001309427,0.04200544,0.0001074572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7605951,0.0002092497,0.2215152,0.0003653813,0.00009766418,0.0001922536,0.000160518,0.003234703,0.01362977],"genre_scores_gemma":[0.883377,0.00009815284,0.1056837,0.00007630924,0.0000148019,0.00004985556,0.0002277397,0.00006950123,0.01040278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005343091,"threshold_uncertainty_score":0.01062393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937363616645488,"score_gpt":0.2482146017373092,"score_spread":0.2188409655708543,"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."}}