{"id":"W2334729072","doi":"10.4043/25543-ms","title":"Autonomous Underwater Vehicle Operations in the Arctic","year":2015,"lang":"en","type":"article","venue":"OTC Arctic Technology Conference","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Submarine Engineering (Canada)","funders":"","keywords":"Subsea; Arctic; Sea ice; Underwater; Software deployment; Work (physics); Computer science; Marine engineering; Submarine; Environmental science; Oceanography; Environmental resource management; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002303562,0.0001231587,0.0001407409,0.0001506385,0.0000706979,0.00007528254,0.0006733646,0.0001362836,0.0000320396],"category_scores_gemma":[0.00001312671,0.00009356521,0.00002106016,0.0003404135,0.0001297743,0.0001136998,0.0000873692,0.0003488461,0.000203972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125042,"about_ca_system_score_gemma":0.00005458089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002358442,"about_ca_topic_score_gemma":0.0008095693,"domain_scores_codex":[0.9991979,0.00006387297,0.0002369093,0.0001482711,0.0001100996,0.0002429353],"domain_scores_gemma":[0.9992131,0.00003288304,0.00001676251,0.0006173924,0.00007978835,0.00004009937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004814253,0.001013739,0.1934348,0.0004709381,0.0004526444,0.0001961121,0.06735011,0.04905799,0.08056466,0.4778078,0.00151316,0.1280898],"study_design_scores_gemma":[0.006018163,0.0007191561,0.02460807,0.000611553,0.0001334516,0.001051396,0.05997396,0.424015,0.0346356,0.2281281,0.2174228,0.002682712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384522,0.0005043786,0.03728147,0.01566077,0.0001439113,0.0004897859,0.000003100442,0.0008724086,0.006591986],"genre_scores_gemma":[0.9981179,0.00002548101,0.00136587,0.0001565852,0.0000158215,0.0001379355,0.000004458193,0.00001555909,0.0001603486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.374957,"threshold_uncertainty_score":0.3815479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935072925660565,"score_gpt":0.2419508353766528,"score_spread":0.2026001061200472,"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."}}