{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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":"630f78d0990e","filters":{"venue":"IET Cyber-Systems and Robotics"}},"results":[{"id":"W4295047777","doi":"10.1049/csy2.12060","title":"A hybrid tracking control strategy for an unmanned underwater vehicle aided with bioinspired neural dynamics","year":2022,"lang":"en","type":"article","venue":"IET Cyber-Systems and Robotics","topic":"Adaptive Control of Nonlinear Systems","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":"McMaster University; University of Guelph","funders":"","keywords":"Backstepping; Underwater; Unmanned underwater vehicle; Control engineering; Control theory (sociology); Kinematics; Computer science; Vehicle dynamics; Engineering; Tracking (education); Control (management); Artificial intelligence; Adaptive control; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02453238270887492,"gpt":0.2295334198430488,"spread":0.2050010371341739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002841264,0.0003291672,0.0005303407,0.0001017672,0.0003402329,0.0001891255,0.0001965497,0.00007119183,0.000002791023],"category_scores_gemma":[0.000007073584,0.000287205,0.00008024082,0.000106582,0.0000508587,0.0002526586,0.00003317838,0.0002596699,0.000001700041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899127,"about_ca_system_score_gemma":0.00003853754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001489755,"about_ca_topic_score_gemma":0.0003230569,"domain_scores_codex":[0.9982935,0.000115974,0.0004633417,0.0003497795,0.0002736975,0.0005037347],"domain_scores_gemma":[0.9991799,0.0001154598,0.0001208745,0.0002989866,0.0001130542,0.0001717091],"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":[0.0001413221,0.00004821702,0.00068031,0.0001300927,0.0001586524,0.00004900186,0.000128295,0.9950535,0.001469321,0.0009798174,0.0001212837,0.00104018],"study_design_scores_gemma":[0.003230871,0.0009151581,0.0003849998,0.00003393078,0.00008905861,0.0001831223,0.0008905442,0.9931256,0.00002543241,0.00003422662,0.0006797377,0.0004072822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6795616,0.001515043,0.3122332,0.0003317147,0.001706244,0.002754524,0.0008754243,0.0007276773,0.0002945827],"genre_scores_gemma":[0.9985368,0.000004182576,0.0004823205,0.00005516449,0.0003135113,0.0001567327,0.0001068128,0.0001306315,0.000213794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3189753,"threshold_uncertainty_score":0.999958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321084955","doi":"10.1049/csy2.12077","title":"Impedance learning adaptive super‐twisting control of a robotic exoskeleton for physical human‐robot interaction","year":2023,"lang":"en","type":"article","venue":"IET Cyber-Systems and Robotics","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; College Ahuntsic","funders":"","keywords":"Exoskeleton; Impedance control; Control theory (sociology); Controller (irrigation); Adaptive control; Computer science; Actuator; Powered exoskeleton; Artificial neural network; Robot; Trajectory; Terminal sliding mode; Control engineering; Electrical impedance; Engineering; Sliding mode control; Simulation; Artificial intelligence; Control (management); Nonlinear system","retraction":null,"screen_n_in":null,"score":{"opus":0.0192915263104679,"gpt":0.262455379267692,"spread":0.2431638529572241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002985311,0.0002340996,0.0004941244,0.0001713042,0.0001878131,0.00005751117,0.00009847783,0.0001231949,8.133002e-7],"category_scores_gemma":[0.0001021481,0.0002175796,0.0001370525,0.0002993582,0.00008332205,0.0001144529,0.00003315604,0.0002583523,0.000007678681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005855083,"about_ca_system_score_gemma":0.00001713464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002462093,"about_ca_topic_score_gemma":0.000007426102,"domain_scores_codex":[0.9986694,0.00005935024,0.0004732377,0.0002492707,0.0001936518,0.00035508],"domain_scores_gemma":[0.9988681,0.0005479823,0.0001314912,0.0001728436,0.0001860669,0.00009352923],"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":[0.00001493846,0.00003084705,0.0005554517,0.0004932417,0.00007897524,0.000001881999,0.0009704479,0.9709966,0.01794983,0.00805268,0.0000816299,0.0007735086],"study_design_scores_gemma":[0.0007404667,0.0004041567,0.000828954,0.0002636602,0.00007079847,0.000007693611,0.001370204,0.995272,0.0002334906,0.000276436,0.0002815797,0.0002505087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.415281,0.0008648293,0.5784149,0.0002186085,0.002373018,0.001553796,0.00004294533,0.0007174868,0.0005333748],"genre_scores_gemma":[0.9976631,0.00004816843,0.00153536,0.00000531976,0.0002780909,0.00006044465,0.00002189699,0.00006760058,0.0003199995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5823821,"threshold_uncertainty_score":0.8872639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2972456753","doi":"10.1049/iet-csr.2019.0001","title":"FreeD∗: a mechanism for finding a short and collision free path","year":2019,"lang":"en","type":"article","venue":"IET Cyber-Systems and Robotics","topic":"Robotic Path Planning Algorithms","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 New Brunswick","funders":"King Abdulaziz City for Science and Technology","keywords":"Motion planning; Shortest path problem; Dijkstra's algorithm; Path (computing); Obstacle avoidance; Any-angle path planning; Mobile robot; Computer science; Pathfinding; Obstacle; Fast path; Robot; Robotics; Artificial intelligence; Diagonal; Position (finance); Yen's algorithm; Mathematics; Graph; Theoretical computer science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02188075674432547,"gpt":0.2453944052543753,"spread":0.2235136485100499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005272279,0.0002414946,0.0004059963,0.000109985,0.000221482,0.0003683122,0.0005127139,0.0001871682,6.586966e-7],"category_scores_gemma":[0.0000744828,0.0002062613,0.00005500062,0.0001845709,0.00003035559,0.0002936204,0.0003796603,0.0001505011,0.000008511603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003895794,"about_ca_system_score_gemma":0.00004989365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007336288,"about_ca_topic_score_gemma":0.000003417233,"domain_scores_codex":[0.9982682,0.00005105204,0.0003498371,0.0005780729,0.0003249753,0.0004278173],"domain_scores_gemma":[0.9986272,0.000262992,0.0001154803,0.0006848206,0.0001286554,0.0001808941],"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":[0.00005083409,0.0002102902,0.01168668,0.001090513,0.0002552841,0.0001591519,0.004428566,0.1461142,0.005363911,0.8161495,0.008036111,0.006454872],"study_design_scores_gemma":[0.0007680648,0.0003851036,0.0009383596,0.0002856137,0.00002337585,0.0001426582,0.0001270004,0.993593,0.00007075186,0.002761006,0.0005650994,0.0003399792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03678844,0.0006822958,0.957884,0.0004726932,0.00260042,0.001069706,0.0000382959,0.000169032,0.0002951166],"genre_scores_gemma":[0.5363962,0.00007271772,0.4616779,0.0002082301,0.000284672,0.00005954364,0.00001087802,0.00004581461,0.001244035],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8474787,"threshold_uncertainty_score":0.8411092,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3102894750","doi":"10.1049/iet-csr.2020.0019","title":"Observer canonical form based robust fault detection and estimation for hyperbolic spatiotemporal dynamic systems","year":2020,"lang":"en","type":"article","venue":"IET Cyber-Systems and Robotics","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Observer (physics); Actuator; Fault detection and isolation; Fault (geology); Lyapunov function; Computer science; Mathematics; Canonical form; Control (management); Artificial intelligence; Nonlinear system","retraction":null,"screen_n_in":null,"score":{"opus":0.02614234199162535,"gpt":0.2199660445726621,"spread":0.1938237025810368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001532716,0.0001881362,0.0003382671,0.00003802381,0.0001622202,0.0001618829,0.00006136791,0.0001770033,0.000001784532],"category_scores_gemma":[0.00009596156,0.0001814146,0.0000634461,0.000103903,0.0000437934,0.0001585035,0.00001524212,0.000125475,0.000002085616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008003683,"about_ca_system_score_gemma":0.0000339538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002984928,"about_ca_topic_score_gemma":0.0006667048,"domain_scores_codex":[0.9989514,0.0000404302,0.0003989331,0.0002456863,0.0001510112,0.0002125714],"domain_scores_gemma":[0.9993621,0.0001742317,0.00006295242,0.0001524321,0.00009147358,0.0001567703],"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":[0.00002584359,0.00001888785,0.0005435576,0.0008527515,0.00004022393,3.454789e-7,0.0002014357,0.9938694,0.0009289358,0.0004476742,0.00001640631,0.003054517],"study_design_scores_gemma":[0.0009623552,0.0001263645,0.003605084,0.00005378915,0.00007857147,0.000003199556,0.000182495,0.9944698,0.00002983315,0.00005596358,0.0002314657,0.0002010283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3269005,0.000726798,0.6699629,0.0005415527,0.0006073928,0.0009673945,0.00007441676,0.0001922222,0.00002680426],"genre_scores_gemma":[0.9978242,0.00001772808,0.001826686,0.00002282125,0.0001205692,0.00009334994,0.00004831393,0.00002972519,0.00001663007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6709237,"threshold_uncertainty_score":0.7397873,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2610837471","doi":"10.1049/iet-csr.2019.0039","title":"Failsafe mechanism design of multicopters based on supervisory control theory","year":2020,"lang":"en","type":"preprint","venue":"IET Cyber-Systems and Robotics","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Supervisor; Supervisory control; Correctness; Supervisory control theory; Controller (irrigation); Process (computing); Control (management); Computer science; Mechanism (biology); Event (particle physics); Control engineering; Function (biology); Fail-safe; Control theory (sociology); Engineering; Reliability engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05942155327576659,"gpt":0.2451281735988979,"spread":0.1857066203231313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001905794,0.0006313618,0.001285522,0.0002897357,0.0001442993,0.0003516153,0.001624773,0.0006002004,0.000002539601],"category_scores_gemma":[0.0001730068,0.0005585157,0.0002374822,0.0002215054,0.00009118296,0.00014207,0.0007376826,0.0007364558,0.00001581036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218913,"about_ca_system_score_gemma":0.0003353492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001024229,"about_ca_topic_score_gemma":0.000001615228,"domain_scores_codex":[0.9952409,0.001156659,0.001103888,0.001157548,0.0008459215,0.0004951102],"domain_scores_gemma":[0.9958951,0.001271658,0.0006696046,0.001609652,0.0002686502,0.0002852684],"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":[0.00004918544,0.00006538806,0.00002178906,0.0007077928,0.0001232194,0.00004198462,0.0006725217,0.9356292,0.0008479749,0.06116694,0.0001119173,0.0005620335],"study_design_scores_gemma":[0.001158599,0.0002058683,0.00001737066,0.001209048,0.00008500041,0.00001207413,0.0001155765,0.9923312,0.0001735437,0.004106065,0.00004543403,0.0005402414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002621243,0.001043513,0.9925978,0.0006428621,0.003465598,0.00140746,0.00006191149,0.0002330623,0.0002856255],"genre_scores_gemma":[0.9019412,0.00005903905,0.09716348,0.0003940402,0.0002325915,0.00007521066,0.000008181098,0.00006151841,0.00006472813],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9016791,"threshold_uncertainty_score":0.9996867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413474339","doi":"10.1049/csy2.70024","title":"Lightweight Hand Acupoint Recognition Based on Middle Finger Cun Measurement","year":2025,"lang":"en","type":"article","venue":"IET Cyber-Systems and Robotics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Petroleum Technology Research Centre; Guizhou Science and Technology Department; National Natural Science Foundation of China","keywords":"Computer science; Middle finger; Artificial intelligence; Pattern recognition (psychology); Medicine; Anatomy; Thumb","retraction":null,"screen_n_in":null,"score":{"opus":0.04598322477190749,"gpt":0.2361923809145186,"spread":0.1902091561426111,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009750798,0.0002977547,0.0004130849,0.0002812149,0.0003636535,0.0006368938,0.0003178917,0.0002044279,0.000005484575],"category_scores_gemma":[0.00008599148,0.0002335883,0.0001064149,0.0004617818,0.0000505463,0.0002066377,0.00009027339,0.0002170402,0.0001203761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308096,"about_ca_system_score_gemma":0.0001540963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000666896,"about_ca_topic_score_gemma":0.00004917398,"domain_scores_codex":[0.9976001,0.0002409242,0.0005441263,0.000593268,0.0006520621,0.0003695346],"domain_scores_gemma":[0.9984269,0.0001752226,0.000183488,0.0005736343,0.0004771728,0.000163583],"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":[0.0005789954,0.006254687,0.008920934,0.01020492,0.002498251,0.0007437376,0.01044843,0.1206369,0.02469358,0.1304528,0.2239015,0.4606652],"study_design_scores_gemma":[0.007102017,0.001104254,0.004173381,0.0125062,0.0002911924,0.0001317643,0.0003765646,0.7176539,0.01420157,0.00389121,0.2361314,0.002436517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003260321,0.0023688,0.9560369,0.005655956,0.006983075,0.001352208,0.00002902279,0.00034003,0.0239737],"genre_scores_gemma":[0.9903777,0.00005452363,0.006385989,0.0008991289,0.0003601526,0.0001096132,0.00001633667,0.00002392395,0.001772619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9871174,"threshold_uncertainty_score":0.9525456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}