{"id":"W2077707340","doi":"10.1109/auv.2014.7054413","title":"Working towards seafloor and underwater iceberg mapping with a Slocum glider","year":2014,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sonar; Glider; Underwater glider; Iceberg; Marine engineering; Seafloor spreading; Synthetic aperture sonar; Underwater; Geology; Drone; Seabed; Trajectory; Sea trial; Acoustics; Remote sensing; Engineering; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001524827,0.0001269929,0.0001404448,0.00005244576,0.00007071766,0.0001242464,0.0001271419,0.00004902171,0.00003819297],"category_scores_gemma":[5.144653e-7,0.00009208436,0.00001913585,0.00009742327,0.00002396756,0.00009845603,0.00005642871,0.00009735552,0.00003293463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002285747,"about_ca_system_score_gemma":0.000004793244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007047694,"about_ca_topic_score_gemma":0.0001526324,"domain_scores_codex":[0.9993758,0.0000300375,0.0001530292,0.0001323201,0.0001071556,0.0002016434],"domain_scores_gemma":[0.9995925,0.00001965278,0.00001650052,0.0002810548,0.00002117613,0.00006915224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009308506,0.0001484583,0.06864031,0.001275507,0.001431313,0.00002400069,0.02518548,0.01584218,0.0897539,0.01456224,0.004702784,0.7783408],"study_design_scores_gemma":[0.00144086,0.00007825983,0.004578768,0.000314164,0.0000322111,0.00009883523,0.00270721,0.09134348,0.01673419,0.00100943,0.8807998,0.000862785],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2873893,0.0003523627,0.6064592,0.001114162,0.00009207893,0.0002162185,4.284839e-7,0.0007795313,0.1035967],"genre_scores_gemma":[0.9892642,0.00002400765,0.008982342,0.000162524,0.00006199839,0.00001722633,0.000002036634,0.00003095218,0.001454694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.876097,"threshold_uncertainty_score":0.3755091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164687653007702,"score_gpt":0.1875910377745918,"score_spread":0.1711222724738216,"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."}}