{"id":"W2974013300","doi":"10.48550/arxiv.1909.08537","title":"Visual Measurement Integrity Monitoring for UAV Localization","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Receiver autonomous integrity monitoring; GNSS applications; Computer science; Metric (unit); Real-time computing; Computer vision; Global Positioning System; Artificial intelligence; Engineering","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":[0.001752023,0.001169896,0.0008705644,0.00142838,0.0004457482,0.001345282,0.001306615,0.001099439,0.00107386],"category_scores_gemma":[0.01091006,0.0002726504,0.0004919603,0.001289427,0.0007914282,0.001249753,0.00196481,0.001026148,0.0008703599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007458915,"about_ca_system_score_gemma":0.0009448846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004329115,"about_ca_topic_score_gemma":0.003543345,"domain_scores_codex":[0.9976677,0.0007087748,0.0001379443,0.0005050023,0.0008336528,0.0001468176],"domain_scores_gemma":[0.9961677,0.0008455674,0.0007421193,0.00118895,0.0009593645,0.00009630669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006780151,0.0001322763,0.01784058,0.0005914893,0.0002183991,0.0001868008,0.0002082554,0.3339631,0.0251749,0.008417075,0.01487356,0.5977156],"study_design_scores_gemma":[0.00003336772,0.0001465076,0.007339704,0.00009291635,0.00003796055,0.000282571,0.00009197372,0.9464404,0.02534959,0.009503126,0.01064856,0.00003331513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05579394,0.002208399,0.9328495,0.0004360153,0.0001324268,0.00007371933,0.001283381,0.0037457,0.003476823],"genre_scores_gemma":[0.7996475,0.0008017101,0.1917882,0.0001812783,0.0001206788,0.0001169683,0.005202725,0.0003231601,0.001817876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004329115,"threshold_uncertainty_score":0.009265661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138720901818795,"score_gpt":0.2026591525370832,"score_spread":0.08878706235520371,"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."}}