{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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","author_layer_release":"2026-06-26"},"query_hash":"ca3d6f8ec567","filters":{"venue":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)"}},"results":[{"id":"W4315488874","doi":"10.1109/icarcv57592.2022.10004318","title":"Data Transmission Resilience to Cyber-attacks on Heterogeneous Multi-agent Deep Reinforcement Learning Systems","year":2022,"lang":"en","type":"article","venue":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":2,"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; Resilience (materials science); Data transmission; Transmission (telecommunications); Adversarial system; Controller (irrigation); Artificial intelligence; Reinforcement; Computer network; Engineering; Telecommunications","authors":[{"name":"Neshat Elhami Fard","is_ca":true},{"name":"Rastko R. Šelmić","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0261775429513091,"gpt":0.3024219929480291,"spread":0.27624444999672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009143019,0.0002821771,0.0002876839,0.0001707367,0.0008301864,0.00026751,0.001155945,0.000067486,0.001392001],"category_scores_gemma":[0.0000894504,0.0002526498,0.00006171764,0.0002279145,0.00007540728,0.0002268188,0.0007415881,0.0003666017,0.0001438835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864339,"about_ca_system_score_gemma":0.00004545934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685534,"about_ca_topic_score_gemma":0.00008257268,"domain_scores_codex":[0.9963462,0.0002827589,0.0006575001,0.0009072687,0.001451187,0.000355085],"domain_scores_gemma":[0.9986191,0.0001410747,0.0003031034,0.0005829808,0.00008419211,0.0002694974],"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":[0.0001024388,0.0001510418,0.001345653,0.00001251808,0.00002763114,0.00001585746,0.0002433774,0.9873708,0.001242561,0.004136145,0.0005630828,0.004788884],"study_design_scores_gemma":[0.0009084925,0.0006520671,0.00455318,0.00008616674,0.00001659271,0.00002070328,0.0002974484,0.9859019,0.00001735879,0.00004530393,0.007209858,0.000290952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07411462,0.000212643,0.9002038,0.008490275,0.002390771,0.002772308,0.0003016928,0.0002684906,0.01124546],"genre_scores_gemma":[0.9958104,0.000122129,0.0009375372,0.0005503717,0.00003777584,0.00009935326,0.0002072171,0.00002450296,0.002210661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9216958,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315472142","doi":"10.1109/icarcv57592.2022.10004236","title":"Fast Estimation of Multidimensional Regression Functions","year":2022,"lang":"en","type":"article","venue":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","topic":"Control Systems and Identification","field":"Engineering","cited_by":1,"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":"Computer science; Kernel (algebra); Convergence (economics); Kernel density estimation; Computation; Nonparametric statistics; Set (abstract data type); Kernel regression; Algorithm; Computational complexity theory; Mathematical optimization; Mathematics; Statistics","authors":[{"name":"Tomasz Gałkowski","is_ca":false},{"name":"Adam Krzyżak","is_ca":true},{"name":"Piotr Dziwiński","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01535187881207173,"gpt":0.2730207695120536,"spread":0.2576688906999819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004358779,0.000196534,0.000272825,0.0003385282,0.0003263386,0.00008531689,0.0001995509,0.00006406128,0.0007503668],"category_scores_gemma":[0.00008395909,0.0001907597,0.0000893525,0.0001981091,0.00004539896,0.0002460863,0.00008011913,0.0002372509,0.0000255511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138433,"about_ca_system_score_gemma":0.00005509609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002621411,"about_ca_topic_score_gemma":0.00001269637,"domain_scores_codex":[0.9980347,0.0001134847,0.0006261293,0.000301832,0.0007613765,0.0001624374],"domain_scores_gemma":[0.9989377,0.0001276015,0.0002455403,0.0002544051,0.000351109,0.00008363101],"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":[0.0001231925,0.0001883416,0.0007145354,0.00005040241,0.0001492508,0.000002560981,0.0002783248,0.8469041,0.02040343,0.09011091,0.007348593,0.03372636],"study_design_scores_gemma":[0.001280999,0.0001466734,0.01755646,0.00006962667,0.00003057002,0.00000982351,0.0001986352,0.9782343,0.0001160152,0.0008005638,0.001380838,0.0001754739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3642741,0.0009764089,0.5951641,0.01002849,0.01093581,0.002440198,0.001464253,0.0010504,0.01366632],"genre_scores_gemma":[0.997728,0.00005957128,0.0008317062,0.00006076049,0.00008031051,0.0001036772,0.0003364023,0.00002430503,0.0007752169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.633454,"threshold_uncertainty_score":0.821599,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315489012","doi":"10.1109/icarcv57592.2022.10004247","title":"Modeling Competing Agents in Social Media Networks","year":2022,"lang":"en","type":"article","venue":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":1,"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":"Asynchronous communication; Computer science; Dynamics (music); Outcome (game theory); Competition (biology); Social dynamics; Social network (sociolinguistics); Social media; Theoretical computer science; Artificial intelligence; Mathematical economics; Mathematics; Telecommunications; Psychology; World Wide Web","authors":[{"name":"Mohamed N. Zareer","is_ca":true},{"name":"Rastko R. Šelmić","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03736024256318969,"gpt":0.3312763852973865,"spread":0.2939161427341968,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000500592,0.0001801671,0.0002630788,0.0001703492,0.0006002069,0.0001998106,0.0003223897,0.0000470241,0.0009532449],"category_scores_gemma":[0.00002943436,0.0001983235,0.0000861164,0.0001839284,0.00004631652,0.0001548566,0.0001951823,0.0004236128,0.00000600762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009998931,"about_ca_system_score_gemma":0.00008340625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008473705,"about_ca_topic_score_gemma":0.00002079922,"domain_scores_codex":[0.9981958,0.0001668477,0.0004964505,0.000343555,0.0005482895,0.0002490247],"domain_scores_gemma":[0.9992603,0.0001441789,0.0001919637,0.0001143849,0.0002132987,0.00007587756],"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":[0.00003260048,0.000111397,0.009097501,0.000002631108,0.00003865195,0.000001764274,0.0005490509,0.4383497,0.00002018757,0.547399,0.0001672266,0.004230213],"study_design_scores_gemma":[0.00115837,0.00003986669,0.01288381,0.00002507912,0.000009334983,4.775525e-7,0.000943156,0.9701536,4.213748e-7,0.0144579,0.0001388782,0.0001890562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6728528,0.0001263357,0.2757973,0.01439937,0.00512073,0.001221294,0.0007976403,0.000220543,0.02946396],"genre_scores_gemma":[0.9986721,0.00001982025,0.0002264761,0.0003241718,0.0003367649,0.00005366755,0.0002756554,0.00001761648,0.0000737246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5329412,"threshold_uncertainty_score":0.99996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315488937","doi":"10.1109/icarcv57592.2022.10004297","title":"Traffic Sign Recognition Using Ulam's Game","year":2022,"lang":"en","type":"article","venue":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","topic":"Human Pose and Action Recognition","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":"University of British Columbia","funders":"","keywords":"Pooling; Computer science; Classifier (UML); Feature extraction; Artificial intelligence; Sign (mathematics); Pattern recognition (psychology); Traffic sign; Feature (linguistics); Mathematics","authors":[{"name":"Haofeng Zheng","is_ca":false},{"name":"Ruikang Luo","is_ca":false},{"name":"Yaofeng Song","is_ca":false},{"name":"Yao Zhou","is_ca":false},{"name":"Jiawen Yu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04804392962726899,"gpt":0.3090697158312911,"spread":0.2610257862040221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005941673,0.0002326241,0.0002493787,0.0004556065,0.0006000482,0.0005471421,0.0005713759,0.00007087897,0.00137761],"category_scores_gemma":[0.00007643189,0.0002454541,0.0001078895,0.0003103969,0.00005401336,0.0007282637,0.0001999034,0.000356822,0.00007352702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755694,"about_ca_system_score_gemma":0.0001521976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001126846,"about_ca_topic_score_gemma":0.000006031366,"domain_scores_codex":[0.9974163,0.0002914224,0.0005282775,0.000590558,0.0009106555,0.0002627775],"domain_scores_gemma":[0.9986089,0.0001602498,0.0003456653,0.0002869251,0.0004668516,0.0001314485],"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":[0.0002822324,0.001186422,0.0003021484,0.00005073956,0.0003371905,0.00007397443,0.001458799,0.1338574,0.007429343,0.3211772,0.005777002,0.5280675],"study_design_scores_gemma":[0.001409727,0.0003637616,0.00181177,0.00004496277,0.00002512306,0.00005096466,0.0001317497,0.9834653,0.00008351682,0.01086203,0.001452183,0.0002988734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2105889,0.0001197503,0.7610299,0.0157976,0.004004311,0.001106416,0.0002660168,0.0007314131,0.006355771],"genre_scores_gemma":[0.9940141,0.00006704954,0.003997349,0.001240949,0.0001610385,0.00006016063,0.0001685543,0.00001864463,0.0002720924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8496079,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315471994","doi":"10.1109/icarcv57592.2022.10004339","title":"Path Following Control for Human-Robot Collaborative Tasks","year":2022,"lang":"en","type":"article","venue":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Path (computing); Task (project management); Robot; Computer science; Control (management); Human–robot interaction; Motion planning; Human–computer interaction; Robot control; Task analysis; Transversal (combinatorics); Robot kinematics; Artificial intelligence; Control engineering; Mobile robot; Engineering; Mathematics; Systems engineering","authors":[{"name":"Shaundell Dubay","is_ca":true},{"name":"William Melek","is_ca":true},{"name":"Christopher Nielsen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02415263531012513,"gpt":0.3098802379526158,"spread":0.2857276026424906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005917849,0.0002872227,0.0003842537,0.0002918396,0.0007443592,0.0002930036,0.0003237258,0.00008358011,0.0006846533],"category_scores_gemma":[0.0001376505,0.0003057731,0.0001485909,0.0002296303,0.00003793919,0.0002565856,0.00006545902,0.0003665687,0.0000150206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190065,"about_ca_system_score_gemma":0.00007671609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008240386,"about_ca_topic_score_gemma":0.00001005232,"domain_scores_codex":[0.9978733,0.0001651825,0.0005828966,0.0004064446,0.0006740055,0.0002981453],"domain_scores_gemma":[0.9988155,0.000280175,0.0002026264,0.0002177692,0.0003598713,0.0001240165],"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":[0.00009006199,0.0000779667,0.001449055,0.00002726635,0.0002560071,0.000006971046,0.0003806861,0.8018605,0.004045878,0.1865908,0.002836667,0.002378125],"study_design_scores_gemma":[0.003787392,0.0003444136,0.008637934,0.00004360802,0.00005587818,0.000003889645,0.0003897967,0.9804713,0.00002814656,0.00284064,0.003063086,0.000333892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02471777,0.000400754,0.9505498,0.007049284,0.004126874,0.002226443,0.0003304036,0.0008673487,0.009731308],"genre_scores_gemma":[0.9967818,0.00002947002,0.001262539,0.0005611968,0.0001665095,0.000293674,0.0003164764,0.00005162225,0.0005367257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.972064,"threshold_uncertainty_score":0.9999394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}