{"id":"W2523981759","doi":"10.1017/s0373463316000527","title":"Virtual Electronic Aids to Navigation for Remote and Ecologically Sensitive Regions","year":2016,"lang":"en","type":"article","venue":"Journal of Navigation","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Musculoskeletal Health and Arthritis","keywords":"GNSS applications; Beacon; Computer science; Spoofing attack; Global Positioning System; Software deployment; Radio navigation; Service (business); Computer security; Navigation system; Satellite navigation; Telecommunications; Systems engineering; Real-time computing; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006102744,0.0004108517,0.0001444793,0.0006798442,0.0004575271,0.00132366,0.0006925226,0.0004351133,0.009797088],"category_scores_gemma":[0.001816357,0.0001019607,0.000156548,0.000395206,0.0007648063,0.001101927,0.00127932,0.0002024247,0.00139353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167601,"about_ca_system_score_gemma":0.0005769237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001561191,"about_ca_topic_score_gemma":0.004080707,"domain_scores_codex":[0.9997477,0.0001147018,0.00001312225,0.00001628872,0.00008121652,0.00002703593],"domain_scores_gemma":[0.9991018,0.0003312173,0.00008286809,0.0001608821,0.00024484,0.00007842816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009000353,0.0001914713,0.0115455,0.0006977228,0.00003260646,0.0008791692,0.00130519,0.01327592,0.06563318,0.0676822,0.01128055,0.8265765],"study_design_scores_gemma":[0.0001166856,0.003180948,0.01779755,0.0007463809,0.0002900007,0.005642348,0.004243948,0.03921628,0.05316005,0.02157933,0.85384,0.0001865459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3495085,0.005668545,0.434443,0.00121293,0.001032057,0.0004398771,0.0003352819,0.003462069,0.2038977],"genre_scores_gemma":[0.7993966,0.003236627,0.142012,0.0003065582,0.0001751212,0.0001109884,0.0002730591,0.00009846623,0.05439056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009797088,"threshold_uncertainty_score":0.03277457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007294514682183224,"score_gpt":0.2231726591463879,"score_spread":0.2158781444642047,"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."}}