{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"ce8562a911f8","filters":{"venue":"Guidance Navigation and Control"}},"results":[{"id":"W3142824457","doi":"10.1142/s2737480721500059","title":"Path Following Control for UAV Using Deep Reinforcement Learning Approach","year":2021,"lang":"en","type":"article","venue":"Guidance Navigation and Control","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Reinforcement learning; Computer science; Path (computing); Convergence (economics); Motion planning; Function (biology); Artificial intelligence; Control (management); Trajectory; Q-learning; Action (physics); Domain (mathematical analysis); Mathematical optimization; Algorithm; Control theory (sociology); Mathematics; Robot","retraction":null,"screen_n_in":null,"score":{"opus":0.01636363102140439,"gpt":0.2588017157053313,"spread":0.2424380846839269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006322405,0.0001961099,0.0003052584,0.00005060954,0.0004404229,0.0003500884,0.0002677809,0.000091115,0.000004189832],"category_scores_gemma":[0.0002508851,0.0002022427,0.0001511023,0.0002348167,0.00002892079,0.0005051638,0.00006777137,0.0001975309,0.000004162292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008349238,"about_ca_system_score_gemma":0.0001075691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006756693,"about_ca_topic_score_gemma":1.763428e-7,"domain_scores_codex":[0.9982008,0.0001299287,0.0004519654,0.0004480266,0.0003697863,0.0003994995],"domain_scores_gemma":[0.9988798,0.000185011,0.0002563082,0.0003285847,0.0002406252,0.0001096895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001735072,0.00001253465,0.002607439,0.00005605236,0.00007421395,0.000008429655,0.0003591731,0.9762392,0.005622292,0.01106612,0.00001429992,0.003922899],"study_design_scores_gemma":[0.003766521,0.00008369336,0.0002814115,0.00008152243,0.00005169453,0.00001623382,0.0001253796,0.9934425,0.0004122112,0.000189684,0.001315655,0.0002334448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004908539,0.0005948928,0.9927709,0.0002427442,0.000306629,0.0005090731,6.862822e-7,0.0001304402,0.0005361277],"genre_scores_gemma":[0.9407291,0.000008898717,0.05788505,0.0007759301,0.0001036821,0.00007792164,0.00002426529,0.00001643869,0.0003786866],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9358206,"threshold_uncertainty_score":0.8247218,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210364825","doi":"10.1142/s2737480721020015","title":"Editorial of Special Issue on UAV Autonomous, Intelligent and Safe Control","year":2021,"lang":"en","type":"article","venue":"Guidance Navigation and Control","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University","funders":"","keywords":"Control (management); Computer science; Computer security; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.00433413027147708,"gpt":0.2154924322562134,"spread":0.2111583019847363,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002007957,0.0001387467,0.0002660927,0.00003294395,0.00005842505,0.00003876801,0.00004987323,0.0001207463,0.0003380342],"category_scores_gemma":[0.00007847969,0.0001449966,0.00004653632,0.0000913413,0.00005290814,0.0000814929,0.000009393705,0.0001647085,0.00002420472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003671044,"about_ca_system_score_gemma":0.00003443395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008285351,"about_ca_topic_score_gemma":0.000004120932,"domain_scores_codex":[0.9990489,0.00005249046,0.0003597615,0.0001820229,0.000208115,0.0001486529],"domain_scores_gemma":[0.9994262,0.0001208533,0.00005959356,0.0001366673,0.0001623225,0.00009434437],"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":[0.0009821535,0.0002541849,0.004184046,0.0005670286,0.0004251008,0.00003559106,0.002067917,0.01107207,0.05329245,0.02641597,0.2713248,0.6293787],"study_design_scores_gemma":[0.005285124,0.0001136255,0.003343687,0.000148821,0.00005232694,0.00001030971,0.0001545349,0.03053107,0.01045145,0.0007425107,0.948859,0.0003075165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3188544,0.01308849,0.1366081,0.01497604,0.2832867,0.005405057,0.002044843,0.001660545,0.2240758],"genre_scores_gemma":[0.959948,0.0001382036,0.0001635712,0.0003232198,0.03890057,0.00001789492,0.0000366337,0.00001710322,0.0004548195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6775343,"threshold_uncertainty_score":0.5912789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206963569","doi":"10.1142/s2737480721400069","title":"Fault-Tolerant Model Predictive Control of a Fixed-Wing UAV with Actuator Fault Estimation","year":2021,"lang":"en","type":"article","venue":"Guidance Navigation and Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Control reconfiguration; Control theory (sociology); Model predictive control; Actuator; Observer (physics); Fault tolerance; MIMO; Fault detection and isolation; Computer science; Fault (geology); Control engineering; Engineering; Control (management); Distributed computing","retraction":null,"screen_n_in":null,"score":{"opus":0.004344824787498675,"gpt":0.2073642570686964,"spread":0.2030194322811977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001446629,0.0002176668,0.0004095044,0.00005408598,0.00008478262,0.00004334051,0.00007185587,0.0001103466,0.000005375094],"category_scores_gemma":[0.00008643471,0.0002054296,0.00005251094,0.00019156,0.00004652575,0.0004553828,0.00000729367,0.0001419188,0.000002638474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008515076,"about_ca_system_score_gemma":0.00006596841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005832923,"about_ca_topic_score_gemma":0.000003888599,"domain_scores_codex":[0.9987049,0.00005527569,0.0004704721,0.0002633203,0.000280346,0.0002257543],"domain_scores_gemma":[0.9989967,0.0001070843,0.0001765967,0.0002268703,0.0004051616,0.00008754803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001343145,0.00001662728,0.0002612299,0.00009240451,0.0001018306,0.000004903708,0.0003427225,0.9550571,0.03879823,0.0004577798,0.00001477408,0.004718076],"study_design_scores_gemma":[0.005289396,0.0000580366,0.000454204,0.0002972724,0.00009347482,0.00001692727,0.0001545898,0.9895356,0.003583787,0.0002670026,0.00004689517,0.0002028627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05747017,0.0009458398,0.9402755,0.0001266957,0.00008380493,0.0005353873,0.0001025132,0.0001943127,0.0002657493],"genre_scores_gemma":[0.988131,0.00002257179,0.01138689,0.00009282354,0.00005598143,0.0001758046,0.00005104918,0.00003758865,0.00004621804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9306609,"threshold_uncertainty_score":0.8377177,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323854560","doi":"10.1142/s2737480723500048","title":"Multi-UAV Cooperative Hunting in Cluttered Environments Considering Downwash Effects","year":2023,"lang":"en","type":"article","venue":"Guidance Navigation and Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Downwash; Drone; Obstacle; Obstacle avoidance; Flocking (texture); Computer science; Motion planning; Particle swarm optimization; Swarm behaviour; Control theory (sociology); Spinning; Artificial intelligence; Simulation; Engineering; Aerospace engineering; Robot; Aerodynamics; Mobile robot; Geography; Algorithm; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01400048956068777,"gpt":0.2493345156378507,"spread":0.2353340260771629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005988909,0.0002040648,0.0003178066,0.0001204473,0.000170613,0.0002149828,0.0003082426,0.00008685316,0.000002484399],"category_scores_gemma":[0.000200332,0.0002065502,0.00004683381,0.0004361113,0.00005198373,0.0005265107,0.0001110725,0.0001624919,0.000153528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008155912,"about_ca_system_score_gemma":0.00002932484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006574044,"about_ca_topic_score_gemma":0.00001841738,"domain_scores_codex":[0.9981132,0.0002449569,0.000441431,0.0005146652,0.0002672006,0.0004185523],"domain_scores_gemma":[0.9990664,0.0002992859,0.0001698096,0.0003247892,0.00003705074,0.0001026997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007722279,0.0002490677,0.1806502,0.0002575311,0.000206675,0.0004673529,0.004572182,0.01395453,0.701061,0.00506761,0.0005903408,0.0928463],"study_design_scores_gemma":[0.008849367,0.00004852118,0.1457384,0.0003042954,0.00001086971,0.00001026501,0.0001357955,0.8383516,0.004448273,0.00009476867,0.001663309,0.0003445557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4462263,0.0004657793,0.549886,0.001131508,0.0005457017,0.001279661,0.00002483126,0.0003405931,0.00009966796],"genre_scores_gemma":[0.9976321,0.00001244696,0.001435069,0.0004608773,0.00004459142,0.000219494,0.00002040433,0.00001236165,0.0001626242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.824397,"threshold_uncertainty_score":0.8422874,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206998461","doi":"10.1142/s2737480721400057","title":"Adaptive Modeling for Downwash Effects in Multi-UAV Path Planning","year":2021,"lang":"en","type":"article","venue":"Guidance Navigation and Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Downwash; Motion planning; Path (computing); Cylinder; Computer science; Simulation; Flow (mathematics); Aerospace engineering; Robot; Physics; Engineering; Artificial intelligence; Mechanics; Aerodynamics; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02891238091686309,"gpt":0.2799872610146656,"spread":0.2510748800978025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004451574,0.0001711295,0.0003097893,0.0000553437,0.0001194762,0.0001759712,0.0002449705,0.00009167295,5.209565e-7],"category_scores_gemma":[0.0001943153,0.0001748378,0.000071569,0.000234027,0.00001568502,0.0004127204,0.00004907055,0.0001272144,0.000005462884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007178303,"about_ca_system_score_gemma":0.00008596975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003147527,"about_ca_topic_score_gemma":0.000006104345,"domain_scores_codex":[0.9984411,0.0001497922,0.0003793346,0.000498421,0.0001995027,0.0003318446],"domain_scores_gemma":[0.9990025,0.0002567994,0.0001293969,0.0002846529,0.0002324412,0.0000942008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005866131,0.0008397845,0.03875225,0.0008507267,0.0004290866,0.0007408703,0.007896758,0.5213417,0.09299582,0.1278245,0.0007975849,0.2069443],"study_design_scores_gemma":[0.006509645,0.00004631698,0.002256172,0.0003669561,0.00001124166,0.000009502235,0.0001268327,0.9890285,0.0004092798,0.0008315331,0.0002103575,0.0001937336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02424585,0.002223158,0.9719905,0.0003556987,0.0003109269,0.0007001251,0.00002847909,0.00009630888,0.00004891925],"genre_scores_gemma":[0.9794292,0.000004036961,0.01968805,0.0004018878,0.00006003053,0.0003306325,0.00002458756,0.00001026817,0.00005131285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551833,"threshold_uncertainty_score":0.7129679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387187196","doi":"10.1142/s273748072350019x","title":"Wind and Actuator Fault Estimation for a Quadrotor UAV Based on Two-Stage Particle Filter","year":2023,"lang":"en","type":"article","venue":"Guidance Navigation and Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Actuator; Particle filter; Control theory (sociology); Degeneracy (biology); Stage (stratigraphy); Fault (geology); Filter (signal processing); Engineering; Computer science; Control (management); Artificial intelligence; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01125172270931841,"gpt":0.2569047402390287,"spread":0.2456530175297102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002362241,0.0001254234,0.0001578274,0.00004923969,0.00010578,0.00008241597,0.00003661392,0.00005759927,0.00001347517],"category_scores_gemma":[0.00005937771,0.0001193629,0.00003889536,0.0001288192,0.00002027778,0.0001211991,0.000003143687,0.00006333274,0.00003663382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000281025,"about_ca_system_score_gemma":0.000008781216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000014242,"about_ca_topic_score_gemma":0.000004992943,"domain_scores_codex":[0.9992662,0.00003005128,0.0002162741,0.0001735095,0.0001266329,0.000187314],"domain_scores_gemma":[0.9995662,0.0001476768,0.00004171328,0.0001226198,0.00003845776,0.00008334875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009692684,0.00007011781,0.00328025,0.0007779346,0.0001568664,0.00001126348,0.001257223,0.5249059,0.3021335,0.002009714,0.003184613,0.1612434],"study_design_scores_gemma":[0.004093074,0.00008470644,0.002444186,0.00005894509,0.00001360937,0.000001187903,0.00007268147,0.9844657,0.003038596,0.00005863999,0.005532921,0.0001357228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351596,0.00009655899,0.06196242,0.0005870656,0.0002967678,0.001111263,0.0001022554,0.00053751,0.0001465256],"genre_scores_gemma":[0.9987702,0.000002815679,0.0001637955,0.0002789154,0.00008761064,0.0003785227,0.00002218222,0.00002147111,0.0002744447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4595598,"threshold_uncertainty_score":0.4867476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407420600","doi":"10.1142/s2737480725500153","title":"Group Formation Tracking Control for Air–Ground Multi-Agent Systems","year":2025,"lang":"en","type":"article","venue":"Guidance Navigation and Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Science Fund for Distinguished Young Scholars; National Natural Science Foundation of China","keywords":"Tracking (education); Group (periodic table); Control (management); Computer science; Artificial intelligence; Psychology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01803837998357278,"gpt":0.2689683004300904,"spread":0.2509299204465176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00113759,0.0002900221,0.0004828822,0.0001519089,0.0004055798,0.0005958884,0.0005478273,0.0001584959,9.017103e-7],"category_scores_gemma":[0.0001592109,0.0002806744,0.0001516207,0.0003287437,0.00004679765,0.001283545,0.00004070706,0.0001398716,0.00001535302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079156,"about_ca_system_score_gemma":0.00006346104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007864174,"about_ca_topic_score_gemma":0.00001111072,"domain_scores_codex":[0.9975542,0.0002363275,0.0008514724,0.000561234,0.0003230396,0.0004737596],"domain_scores_gemma":[0.9981536,0.0003545599,0.000419871,0.000504844,0.000440823,0.0001263131],"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":[0.0005836767,0.0006295061,0.007570453,0.001723557,0.000777977,0.00002546513,0.001492081,0.01179478,0.07720987,0.7059038,0.004197468,0.1880914],"study_design_scores_gemma":[0.0138626,0.00008508075,0.008115768,0.0003615257,0.00007471981,0.00001375563,0.0001787332,0.9605262,0.0002412953,0.0005970108,0.0156291,0.0003141649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006070362,0.002539237,0.9853767,0.001424368,0.001455928,0.00260497,0.0001116637,0.0003108089,0.0001060205],"genre_scores_gemma":[0.9954262,0.00001093146,0.001936589,0.001026291,0.0001364,0.001100102,0.00005837656,0.00001386536,0.0002912543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9893558,"threshold_uncertainty_score":0.9999645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}