{"id":"W2157379615","doi":"10.1016/j.oceaneng.2011.07.017","title":"A survey of techniques and challenges in underwater localization","year":2011,"lang":"en","type":"article","venue":"Ocean Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":520,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Underwater; Global Positioning System; Computer science; Underwater acoustic communication; Bandwidth (computing); Node (physics); Real-time computing; Wireless; Physical layer; Telecommunications; Computer network; Engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001802754,0.001207424,0.001952733,0.002857067,0.00110435,0.003121147,0.002347513,0.001901614,0.003059324],"category_scores_gemma":[0.004551591,0.0009604622,0.0008791554,0.007812732,0.00121354,0.005089701,0.002142659,0.001495887,0.003134332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005583307,"about_ca_system_score_gemma":0.001073512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002873395,"about_ca_topic_score_gemma":0.003378052,"domain_scores_codex":[0.9981555,0.000434388,0.0001553072,0.0003790996,0.0007901893,0.00008546904],"domain_scores_gemma":[0.997272,0.001310551,0.0001679357,0.0004121527,0.000780784,0.00005650142],"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":[0.00006035589,0.00005714958,0.001564977,0.002817009,0.00008168012,0.00008785717,0.0001572085,0.01809241,0.005688339,0.02047201,0.008066889,0.9428541],"study_design_scores_gemma":[0.00006068073,0.0004488758,0.003826443,0.002871729,0.0003440811,0.002404776,0.001732841,0.3398208,0.02464578,0.1188275,0.5047165,0.0003000949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0031116,0.1003719,0.8850179,0.001645345,0.0004915619,0.00007384326,0.0001637548,0.0006725263,0.008451559],"genre_scores_gemma":[0.07838396,0.3385462,0.5684814,0.001154678,0.002222613,0.0001997683,0.001189728,0.0003643793,0.009457226],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003121147,"threshold_uncertainty_score":0.01023448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07341654698965529,"score_gpt":0.2112426468656504,"score_spread":0.1378260998759951,"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."}}