{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":25,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":25,"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":"cc976d28704e","filters":{"venue":"IEEE/CAA Journal of Automatica Sinica"}},"results":[{"id":"W4224983028","doi":"10.1109/jas.2022.105506","title":"Cooperative and Competitive Multi-Agent Systems: From Optimization to Games","year":2022,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":199,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Program of Shanghai Academic Research Leader; Project 211; Chinesisch-Deutsche Zentrum für Wissenschaftsförderung; National Natural Science Foundation of China","keywords":"Computer science; Optimization problem; Multi-agent system; Autonomy; Perspective (graphical); Mathematical optimization; Artificial intelligence","authors":[{"name":"Jianrui Wang","is_ca":false},{"name":"Yitian Hong","is_ca":false},{"name":"Jiali Wang","is_ca":false},{"name":"Jiapeng Xu","is_ca":true},{"name":"Yang Tang","is_ca":false},{"name":"Qing‐Long Han","is_ca":false},{"name":"Jürgen Kurths","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02163397452239797,"gpt":0.2678412780518937,"spread":0.2462073035294957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001253143,0.001318691,0.00123559,0.0007679547,0.0005734647,0.002333296,0.001241759,0.001417671,0.001724723],"category_scores_gemma":[0.003263531,0.00048213,0.0008270568,0.001196001,0.00225441,0.002415485,0.001698471,0.002201796,0.0003214994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455297,"about_ca_system_score_gemma":0.001267639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003265628,"about_ca_topic_score_gemma":0.001900943,"domain_scores_codex":[0.9987738,0.0006297348,0.00005957639,0.0001794753,0.0002693656,0.00008815675],"domain_scores_gemma":[0.9988432,0.0007967558,0.0001079347,0.00006359831,0.0001172142,0.00007140424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002825751,0.00004968428,0.0004940143,0.0003218864,0.00006849365,0.0001508958,0.0002295829,0.2382245,0.0005348782,0.7311069,0.003825733,0.02496512],"study_design_scores_gemma":[0.00001782543,0.00003993341,0.0002224326,0.00007822984,0.00002334601,0.00006449012,0.00008804764,0.4859487,0.0002069427,0.5011946,0.01209367,0.00002191863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01174656,0.01873345,0.9379367,0.002814545,0.0003663339,0.0001453347,0.0001483191,0.0001243626,0.02798431],"genre_scores_gemma":[0.7174687,0.0373132,0.2264371,0.001389961,0.001427621,0.0008245975,0.0003088407,0.0001176623,0.01471232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003265628,"threshold_uncertainty_score":0.0105589,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2785634791","doi":"10.1109/jas.2017.7510811","title":"Vehicle dynamic state estimation: state of the art schemes and perspectives","year":2018,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":179,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Estimation; State (computer science); Yaw; Vehicle dynamics; Computer science; Control theory (sociology); Control engineering; Engineering; Control (management); Automotive engineering; Artificial intelligence; Algorithm","authors":[{"name":"Hongyan Guo","is_ca":false},{"name":"Dongpu Cao","is_ca":true},{"name":"Hong Chen","is_ca":false},{"name":"Chen Lv","is_ca":false},{"name":"Huaji Wang","is_ca":false},{"name":"S. Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005502748775215664,"gpt":0.2193369351456257,"spread":0.2138341863704101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002777274,0.001077301,0.001143323,0.001900651,0.0003913697,0.002285047,0.002075931,0.001542569,0.001634249],"category_scores_gemma":[0.005091348,0.0007288741,0.000744335,0.003047135,0.001264967,0.004980455,0.001477251,0.002051807,0.001376471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006828738,"about_ca_system_score_gemma":0.000684056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099099,"about_ca_topic_score_gemma":0.0007582696,"domain_scores_codex":[0.9984723,0.0003646701,0.0001375721,0.0004182955,0.0005423902,0.00006473283],"domain_scores_gemma":[0.9968567,0.001558736,0.0002103812,0.0004528014,0.0008689672,0.00005254357],"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":[0.000108766,0.00006902288,0.001188697,0.001428165,0.00009025371,0.00005289246,0.0001589409,0.03594557,0.002738894,0.05253785,0.00331414,0.9023669],"study_design_scores_gemma":[0.00002462097,0.000628515,0.0031277,0.001858416,0.0003068778,0.0009028538,0.0003933,0.6648361,0.01452269,0.08255848,0.2304947,0.0003457861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00486462,0.2231301,0.763302,0.0009560459,0.0004248119,0.00005256638,0.0001037083,0.0004454832,0.006720606],"genre_scores_gemma":[0.2178584,0.4032972,0.3679352,0.0005687902,0.002850045,0.0001863685,0.0007373726,0.00020215,0.006364475],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002777274,"threshold_uncertainty_score":0.01468784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2987167661","doi":"10.1109/jas.2019.1911765","title":"Finite-time adaptive fault-tolerant control for nonlinear systems with multiple faults","year":2019,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Backstepping; Control theory (sociology); Nonlinear system; Fault tolerance; Actuator; Controller (irrigation); Tracking error; Fault (geology); Computer science; Adaptive control; Artificial neural network; Scheme (mathematics); Control (management); Control engineering; Engineering; Mathematics; Distributed computing; Artificial intelligence","authors":[{"name":"Huanqing Wang","is_ca":false},{"name":"Wen Bai","is_ca":false},{"name":"Peter Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01013573180538086,"gpt":0.2186663063987215,"spread":0.2085305745933407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003097411,0.0003384886,0.0003771907,0.0001574408,0.0002632722,0.0004297086,0.0006040346,0.0005219725,0.0006296625],"category_scores_gemma":[0.001155581,0.00009067218,0.0002569234,0.0001916289,0.000477167,0.0004099448,0.0003754338,0.0004729595,0.00005695135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003954424,"about_ca_system_score_gemma":0.0003500051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168999,"about_ca_topic_score_gemma":0.001754647,"domain_scores_codex":[0.9997781,0.00004104403,0.00001556044,0.00005318132,0.0000891261,0.00002294877],"domain_scores_gemma":[0.9996532,0.0001755273,0.00007361622,0.00002317423,0.00006221079,0.00001218847],"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":[0.0001502867,0.00003796502,0.0005741934,0.0001999728,0.00004449797,0.0002671452,0.0001981109,0.8818964,0.02156524,0.01231274,0.0003836709,0.08236989],"study_design_scores_gemma":[0.000007006736,0.00005963694,0.0001461976,0.000004527424,0.000004365856,0.00002870269,0.000008756941,0.9966558,0.001343183,0.001433035,0.0003053232,0.000003467835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07490229,0.0005966848,0.9221199,0.0001746541,0.00009079914,0.00002253523,0.00001248866,0.0001894976,0.001891154],"genre_scores_gemma":[0.9858803,0.000172493,0.01296214,0.00002629764,0.00002176935,0.00003204135,0.00001575077,0.000005445858,0.0008837933],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003168999,"threshold_uncertainty_score":0.006301105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911098646","doi":"10.1109/jas.2019.1911330","title":"Adaptive fuzzy dynamic surface control of flexible-joint robot systems with input saturation","year":2019,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":156,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Bounded function; Fuzzy logic; Tracking error; Computer science; Uniform boundedness; Adaptive control; Filter (signal processing); Mathematics; Mathematical optimization; Algorithm; Control (management); Artificial intelligence","authors":[{"name":"Song Ling","is_ca":false},{"name":"Huanqing Wang","is_ca":false},{"name":"Peter Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01097194406212322,"gpt":0.2178453814818467,"spread":0.2068734374197234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004198474,0.0005511228,0.0006446184,0.0002192638,0.0003269862,0.0004985732,0.0007080252,0.0005236766,0.0007390878],"category_scores_gemma":[0.000795183,0.0001804157,0.0004544863,0.0002886312,0.0006562587,0.000585905,0.0006616151,0.0005911097,0.0001098896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567587,"about_ca_system_score_gemma":0.0004113461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089307,"about_ca_topic_score_gemma":0.001535463,"domain_scores_codex":[0.999745,0.00005132825,0.00001594541,0.00005582851,0.00009415651,0.00003771358],"domain_scores_gemma":[0.999714,0.0001123056,0.000040539,0.00002706505,0.00008933925,0.0000167243],"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":[0.0001173611,0.00003306429,0.0005292659,0.0001917684,0.00004581911,0.0001750388,0.0002586827,0.8786308,0.02378382,0.01258784,0.0004786433,0.08316795],"study_design_scores_gemma":[0.000006566867,0.00004042079,0.00008741047,0.000003197732,0.000003667998,0.00001224242,0.000008716536,0.9973685,0.001174933,0.0009862442,0.0003043413,0.000003860451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04454065,0.0002988892,0.9530091,0.0001019877,0.00004554638,0.000018396,0.000008457869,0.0001641939,0.001812877],"genre_scores_gemma":[0.9826683,0.0001167826,0.01601996,0.00002766324,0.00001638602,0.00003492862,0.00001347643,0.000009074826,0.001093435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003089307,"threshold_uncertainty_score":0.006142676,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312969010","doi":"10.1109/jas.2022.106016","title":"Mpc-based motion planning and control enables smarter and safer autonomous marine vehicles: perspectives and a tutorial survey","year":2022,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"SAFER; Context (archaeology); Model predictive control; Resource (disambiguation); Control (management); Computer science; Field (mathematics); Systems engineering; Engineering; Artificial intelligence; Computer security; Computer network","authors":[{"name":"Henglai Wei","is_ca":true},{"name":"Yang Shi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01022368527740029,"gpt":0.2266094461623814,"spread":0.2163857608849811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003473955,0.0009444814,0.0007492826,0.001114214,0.0002355049,0.001237632,0.0005912373,0.0009451574,0.002349197],"category_scores_gemma":[0.0005582971,0.0004135946,0.0005247276,0.002228935,0.000475838,0.00143593,0.0007030955,0.001494747,0.0009573126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004238227,"about_ca_system_score_gemma":0.0006488031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072302,"about_ca_topic_score_gemma":0.001013705,"domain_scores_codex":[0.9997733,0.00003389077,0.00002576067,0.00005314537,0.00009298261,0.00002093317],"domain_scores_gemma":[0.9997302,0.0001251861,0.00002267749,0.00001625773,0.00008994983,0.00001575735],"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":[0.0000678635,0.0001234294,0.0006445561,0.006214792,0.0001014669,0.0002056805,0.0001595561,0.03634712,0.003596211,0.0540479,0.01697706,0.8815144],"study_design_scores_gemma":[0.00002056397,0.000545334,0.002557931,0.002165094,0.0001791687,0.001161126,0.0002540231,0.1445256,0.004847367,0.04575526,0.7978472,0.0001415067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002890334,0.841951,0.1308904,0.001360676,0.0009688886,0.00005506535,0.00009744378,0.0002930801,0.02149311],"genre_scores_gemma":[0.04217147,0.9203252,0.02789699,0.0003371334,0.002493281,0.00006425339,0.0002494001,0.00005185881,0.006410363],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002349197,"threshold_uncertainty_score":0.007858872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2779598397","doi":"10.1109/jas.2017.7510730","title":"SVM-DT-based adaptive and collaborative intrusion detection","year":2017,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":129,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nipissing University","funders":"","keywords":"Intrusion detection system; Support vector machine; Computer science; Data mining; Network security; Set (abstract data type); Artificial intelligence; Machine learning; Computer security","authors":[{"name":"Shaohua Teng","is_ca":false},{"name":"Naiqi Wu","is_ca":false},{"name":"Haibin Zhu","is_ca":true},{"name":"Luyao Teng","is_ca":false},{"name":"Wei Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01622038227106846,"gpt":0.2659510673315655,"spread":0.249730685060497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001579241,0.0008253385,0.00127592,0.001675819,0.0004967779,0.0008464875,0.001489475,0.00095215,0.001263433],"category_scores_gemma":[0.003626822,0.0002691923,0.0008742948,0.001415889,0.00032811,0.001305408,0.0006756654,0.0009787052,0.0007201126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006561358,"about_ca_system_score_gemma":0.0008685506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003154747,"about_ca_topic_score_gemma":0.00238769,"domain_scores_codex":[0.9982783,0.0003503238,0.0001734053,0.0004879756,0.0005462223,0.0001638718],"domain_scores_gemma":[0.9979371,0.000577839,0.0002615778,0.0002590096,0.0008586095,0.0001059051],"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":[0.0004359895,0.0004586708,0.007316569,0.0001310752,0.0001535542,0.0001539524,0.00008294053,0.1412083,0.01693716,0.003028239,0.007226658,0.822867],"study_design_scores_gemma":[0.000009477684,0.00006805365,0.001083773,0.000003756955,0.00001655469,0.00007504372,0.00001093844,0.9939471,0.003237384,0.0006772217,0.0008620318,0.000008588045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05705871,0.0005959632,0.9373955,0.0002330087,0.0002168362,0.0001333365,0.0002192955,0.002054233,0.002093077],"genre_scores_gemma":[0.7227152,0.0003463518,0.2719024,0.0001577607,0.0001440922,0.0001303322,0.0009090126,0.00007177723,0.003623141],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003154747,"threshold_uncertainty_score":0.008351922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391305708","doi":"10.1109/jas.2024.124227","title":"Reinforcement Learning in Process Industries: Review and Perspective","year":2024,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":87,"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":"Reinforcement learning; Markov decision process; Computer science; Process (computing); Control (management); Perspective (graphical); Scheduling (production processes); Process management; Engineering; Artificial intelligence; Markov process; Operations management","authors":[{"name":"Oguzhan Dogru","is_ca":true},{"name":"Junyao Xie","is_ca":true},{"name":"Om Prakash","is_ca":true},{"name":"Ranjith Chiplunkar","is_ca":true},{"name":"Jansen Fajar Soesanto","is_ca":true},{"name":"Hongtian Chen","is_ca":true},{"name":"Kirubakaran Velswamy","is_ca":true},{"name":"Fadi Ibrahim","is_ca":true},{"name":"Biao Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0109358515700378,"gpt":0.2814064251881301,"spread":0.2704705736180923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063775,0.0008924897,0.001236837,0.001867002,0.0002671281,0.001478961,0.001104172,0.001617703,0.002646353],"category_scores_gemma":[0.002492913,0.0004452997,0.0006286938,0.003933572,0.0006760268,0.002021812,0.0006754861,0.001379504,0.001182966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007208287,"about_ca_system_score_gemma":0.001428736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865342,"about_ca_topic_score_gemma":0.001204286,"domain_scores_codex":[0.9995204,0.0001185818,0.0000594158,0.000109528,0.000160188,0.00003185611],"domain_scores_gemma":[0.9978585,0.001578128,0.0001366829,0.00005074688,0.0003187897,0.00005714054],"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":[0.00007269743,0.0001065578,0.0006828127,0.01752348,0.0001153856,0.0001286421,0.0001373943,0.009963274,0.0005874784,0.02512984,0.01422744,0.9313251],"study_design_scores_gemma":[0.00003532171,0.0004221769,0.003005627,0.0133758,0.0002998488,0.00130059,0.0003874148,0.01611559,0.001253866,0.03541922,0.928258,0.0001265889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000515939,0.9897645,0.006047683,0.0006646047,0.0003314276,0.000009506371,0.00002085259,0.00002994759,0.002615455],"genre_scores_gemma":[0.008675192,0.9868347,0.00260893,0.0003234021,0.0007593822,0.00001382236,0.00004560272,0.000008921162,0.000730095],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002646353,"threshold_uncertainty_score":0.008852959,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045264779","doi":"10.1109/jas.2020.1003288","title":"Formation-containment control using dynamic event-triggering mechanism for multi-agent systems","year":2020,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":81,"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; Containment (computer programming); Event (particle physics); Set (abstract data type); Convergence (economics); Distributed computing; Mechanism (biology); Control (management); Holonomic; Multi-agent system; Mobile robot; Robot; Control theory (sociology); Artificial intelligence","authors":[{"name":"Amir Amini","is_ca":true},{"name":"Amir Asif","is_ca":true},{"name":"Arash Mohammadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05207191200711912,"gpt":0.3045710648764912,"spread":0.2524991528693721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009161487,0.0007806196,0.0005826734,0.0003100676,0.000330606,0.0007846237,0.001415412,0.0005923287,0.0007119366],"category_scores_gemma":[0.001271963,0.0002534392,0.0004815414,0.0003031297,0.0006387131,0.0007629796,0.001183833,0.0007423802,0.0001108507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004992459,"about_ca_system_score_gemma":0.000600575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000851074,"about_ca_topic_score_gemma":0.000577334,"domain_scores_codex":[0.9993224,0.0001885727,0.00003587887,0.0001578856,0.0002230526,0.00007229356],"domain_scores_gemma":[0.9993373,0.0002774949,0.0001555707,0.00007640635,0.0001117927,0.00004146668],"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":[0.00008469098,0.00006323771,0.00024687,0.00008186595,0.00003329229,0.00009150574,0.00009347389,0.9199664,0.01378855,0.02489402,0.0003191683,0.04033697],"study_design_scores_gemma":[0.00001279868,0.00005778697,0.00005490411,0.000003334375,0.000005627985,0.00001509525,0.000005403113,0.994136,0.002260833,0.003035157,0.0004084034,0.000004577688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00792659,0.00006603952,0.9911249,0.00002661437,0.00001478247,0.00001803658,0.000004806358,0.00007806584,0.0007400474],"genre_scores_gemma":[0.9201202,0.0001375934,0.0784983,0.0000399527,0.00003556301,0.0001086711,0.00002789081,0.00002055177,0.00101132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001415412,"threshold_uncertainty_score":0.004845142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2806832624","doi":"10.1109/jas.2018.7511144","title":"Parallel reinforcement learning: a framework and case study","year":2018,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Machine learning; Markov chain; Action learning; Action (physics); Markov decision process; Markov process; Cooperative learning; Mathematics","authors":[{"name":"Teng Liu","is_ca":false},{"name":"Tian Bin","is_ca":false},{"name":"Yunfeng Ai","is_ca":false},{"name":"Li Li","is_ca":false},{"name":"Dongpu Cao","is_ca":true},{"name":"Fei‐Yue Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01460365057919548,"gpt":0.2757493008760759,"spread":0.2611456502968804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001847404,0.0005336753,0.0006630645,0.0004435401,0.0006596498,0.00131978,0.001288864,0.001954254,0.001785324],"category_scores_gemma":[0.003243256,0.0002389626,0.0004947149,0.0006671374,0.001527016,0.001212486,0.001152825,0.001751469,0.0001989643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162399,"about_ca_system_score_gemma":0.0009088802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006639342,"about_ca_topic_score_gemma":0.003039306,"domain_scores_codex":[0.9991028,0.0004444716,0.00003461554,0.000124516,0.0001994395,0.00009406399],"domain_scores_gemma":[0.9983559,0.001092425,0.0001038839,0.000153162,0.0001896294,0.0001049805],"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":[0.0001863976,0.0002792002,0.001538497,0.0001815275,0.00005871943,0.001365611,0.0002257804,0.7691661,0.001449064,0.1612466,0.002652707,0.06164977],"study_design_scores_gemma":[0.0000398846,0.00009462582,0.0002184278,0.00001594093,0.00001002473,0.0002047525,0.00004373658,0.9592314,0.0008700592,0.0349263,0.004330031,0.00001484411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07924312,0.003452896,0.8923436,0.001932075,0.0001168825,0.0002076631,0.00009982885,0.0005516128,0.0220524],"genre_scores_gemma":[0.8872135,0.001205483,0.1074028,0.0001330517,0.0000740602,0.0001531516,0.00004944457,0.00004167301,0.003726937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006639342,"threshold_uncertainty_score":0.01320136,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404563140","doi":"10.1109/jas.2024.125013","title":"Analysis and Control of Frequency Stability in Low-Inertia Power Systems: A Review","year":2024,"lang":"en","type":"review","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":64,"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; Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Stability (learning theory); Inertia; Control theory (sociology); Automatic frequency control; Frequency analysis; Power (physics); Control (management); Mathematics; Computer science; Physics; Statistics; Telecommunications; Artificial intelligence; Thermodynamics","authors":[{"name":"Changjun He","is_ca":false},{"name":"Hua Geng","is_ca":false},{"name":"Kaushik Rajashekara","is_ca":false},{"name":"Ambrish Chandra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02197325406891956,"gpt":0.3068015273350089,"spread":0.2848282732660894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007261276,0.001149011,0.001588097,0.00227613,0.0003030329,0.001193214,0.00100789,0.001155647,0.003111094],"category_scores_gemma":[0.001276587,0.0004482564,0.0007516068,0.003153171,0.000530506,0.001922033,0.0006375269,0.001182955,0.001638535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044997,"about_ca_system_score_gemma":0.001314387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417137,"about_ca_topic_score_gemma":0.001400786,"domain_scores_codex":[0.9997382,0.00003890169,0.00004133054,0.00005913115,0.0001024612,0.0000199748],"domain_scores_gemma":[0.9991421,0.0005050164,0.0001055406,0.0000287529,0.0001897695,0.00002889105],"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":[0.00005003502,0.00009185786,0.0002359997,0.02707092,0.0001155514,0.000124973,0.00007881988,0.002376558,0.001452637,0.01015873,0.01388413,0.9443597],"study_design_scores_gemma":[0.00001994133,0.0002425646,0.001457927,0.009955318,0.0003390264,0.000855554,0.0001213096,0.001557517,0.001152968,0.007711943,0.9765146,0.00007135997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001856991,0.9972392,0.0009564615,0.0001471052,0.0001607906,0.000005465114,0.00001574041,0.00001211398,0.00127743],"genre_scores_gemma":[0.001442784,0.9973181,0.000607573,0.00007415954,0.0001873516,0.000006999773,0.00002694617,0.000002899825,0.0003331823],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003111094,"threshold_uncertainty_score":0.01040763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2735375376","doi":"10.1109/jas.2017.7510550","title":"Design of second order sliding mode and sliding mode algorithms: a practical insight to DC-DC buck converter","year":2017,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":56,"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 theory (sociology); Buck converter; Sliding mode control; Robustness (evolution); Settling time; Parametric statistics; Voltage; Transient response; Converters; Computer science; Algorithm; Engineering; Step response; Mathematics; Control engineering; Physics; Nonlinear system; Control (management)","authors":[{"name":"Seyed Mehdi Rakhtala","is_ca":false},{"name":"Monazzahalsadat Yasoubi","is_ca":true},{"name":"S. Hassan HosseinNia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03760449388677179,"gpt":0.3187479894362668,"spread":0.281143495549495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002997403,0.0004475513,0.0003663995,0.0002516211,0.0002420147,0.0005869407,0.0004297079,0.0004137284,0.001244044],"category_scores_gemma":[0.0004018695,0.0002027318,0.0003348514,0.0001903452,0.0002976515,0.0003862469,0.0003466344,0.0004989923,0.00020361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325726,"about_ca_system_score_gemma":0.0005251529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007934542,"about_ca_topic_score_gemma":0.0005466064,"domain_scores_codex":[0.9998111,0.00002827426,0.00001576401,0.00003717383,0.00009238559,0.00001540424],"domain_scores_gemma":[0.9999001,0.00002468801,0.00001179403,0.00001574377,0.0000407758,0.000006912039],"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":[0.0001701923,0.0001023245,0.001455204,0.0008694184,0.00007548177,0.0003135735,0.000567611,0.3128936,0.1961082,0.08628706,0.001792305,0.399365],"study_design_scores_gemma":[0.00003511747,0.000346192,0.0005344691,0.00003611793,0.0000157411,0.0002109182,0.00004147584,0.9619524,0.02097691,0.006561165,0.00926799,0.00002139402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007852271,0.0003304275,0.9881414,0.00005476929,0.00004447174,0.00005631311,0.000009156063,0.0001643244,0.003346847],"genre_scores_gemma":[0.6857723,0.001078774,0.3049379,0.00009365458,0.00006568211,0.0003005858,0.00005643968,0.00004385435,0.007650868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001244044,"threshold_uncertainty_score":0.004161716,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3085946920","doi":"10.1109/jas.2020.1003474","title":"A sensorless state estimation for a safety-oriented cyber-physical system in urban driving: Deep learning approach","year":2021,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Brake; Dropout (neural networks); Chassis; Artificial neural network; Automotive engineering; Computer science; Deep learning; Engineering; Control engineering; Artificial intelligence; Simulation; Machine learning","authors":[{"name":"Mohammad Al-Sharman","is_ca":true},{"name":"D. A. Murdoch","is_ca":true},{"name":"Dongpu Cao","is_ca":true},{"name":"Chen Lv","is_ca":false},{"name":"Yahya Zweiri","is_ca":false},{"name":"Derek Rayside","is_ca":true},{"name":"William Melek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005217309174535271,"gpt":0.2178829605576709,"spread":0.2126656513831356,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003005716,0.0004247736,0.0002999316,0.000179562,0.0002066332,0.0003423579,0.0004644354,0.0004866744,0.0006978572],"category_scores_gemma":[0.0005059123,0.0002648596,0.0002929173,0.0001877516,0.0002639116,0.0004823366,0.000371703,0.0009173288,0.0001448696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003908871,"about_ca_system_score_gemma":0.0006741115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009301058,"about_ca_topic_score_gemma":0.008027532,"domain_scores_codex":[0.9999164,0.00001463885,0.000005834449,0.00002461258,0.00002292596,0.00001563471],"domain_scores_gemma":[0.9998628,0.00004827196,0.00002141712,0.00001012826,0.00004920452,0.00000814786],"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":[0.00005450088,0.00005530996,0.001449487,0.00007826146,0.00003392901,0.0000547968,0.00006379563,0.8980632,0.006520538,0.002881895,0.0005136176,0.09023061],"study_design_scores_gemma":[7.87565e-7,0.000008137922,0.0001172405,0.000002104516,0.00000167595,0.000002724116,0.000002368851,0.9990215,0.0005017257,0.0002482772,0.0000918241,0.000001544457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0582437,0.0003617968,0.9390569,0.0002422186,0.00003951117,0.00002305998,0.00005357835,0.0003519024,0.001627199],"genre_scores_gemma":[0.9461797,0.0002636888,0.05021278,0.00007056809,0.00002485323,0.00004575285,0.0001204892,0.00001920516,0.003063002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009301058,"threshold_uncertainty_score":0.01849383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388579628","doi":"10.1109/jas.2023.123975","title":"Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios","year":2023,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Ideal (ethics); Motion planning; Control (management); Path (computing); Tracking (education); Computer science; Control theory (sociology); Artificial intelligence; Psychology; Robot; Epistemology; Philosophy","authors":[{"name":"Xiaolin Tang","is_ca":false},{"name":"Yuyou Yang","is_ca":false},{"name":"Teng Liu","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Kai Yang","is_ca":false},{"name":"Shen Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03489914072935201,"gpt":0.3095191981650242,"spread":0.2746200574356722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007145583,0.0009745103,0.0006976401,0.0002705073,0.0003135794,0.000692068,0.0007461366,0.0008734855,0.001667951],"category_scores_gemma":[0.001565475,0.0004655438,0.0005061619,0.000224325,0.0008406414,0.0005531998,0.0009496961,0.001267256,0.0002801677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006206384,"about_ca_system_score_gemma":0.001016181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009179029,"about_ca_topic_score_gemma":0.007858167,"domain_scores_codex":[0.9997228,0.00008443884,0.0000121895,0.0000731442,0.00004493478,0.00006255753],"domain_scores_gemma":[0.9992145,0.0004487747,0.00009775507,0.00003956734,0.0001268916,0.00007243032],"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":[0.00006008867,0.00001345058,0.0002543142,0.00002232577,0.00001338976,0.00005010533,0.00002407411,0.9906628,0.0007522124,0.001095518,0.0002794398,0.006772253],"study_design_scores_gemma":[0.00000283605,0.000007996156,0.00002945044,0.000001110629,0.000001346437,0.000002601669,0.000001869318,0.9995183,0.00007886942,0.0003116028,0.00004290616,0.000001193698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06037926,0.0003285168,0.9323277,0.0003290461,0.0001047433,0.0000375312,0.00005922093,0.0008104127,0.005623574],"genre_scores_gemma":[0.9784024,0.00007590083,0.01917814,0.00007090528,0.00001818815,0.00004895421,0.00005945809,0.00003213028,0.002113836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009179029,"threshold_uncertainty_score":0.01825118,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4295832134","doi":"10.1109/jas.2022.105866","title":"Interaction-Aware Cut-In Trajectory Prediction and Risk Assessment in Mixed Traffic","year":2022,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Special Project for Research and Development in Key areas of Guangdong Province","keywords":"Trajectory; Computer science; Softmax function; Support vector machine; Sigmoid function; Collision; Gaussian; Function (biology); Inference; Dimension (graph theory); Machine learning; Artificial intelligence; Simulation; Mathematics; Artificial neural network","authors":[{"name":"Xianglei Zhu","is_ca":false},{"name":"Wen Hu","is_ca":false},{"name":"Zejian Deng","is_ca":true},{"name":"Jinwei Zhang","is_ca":true},{"name":"Fengqing Hu","is_ca":false},{"name":"Rui Zhou","is_ca":false},{"name":"Keqiu Li","is_ca":false},{"name":"Fei‐Yue Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007908278095326788,"gpt":0.2406550044022301,"spread":0.2327467263069034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005359172,0.0009228169,0.0005911742,0.0008358705,0.0003842058,0.000689812,0.000883268,0.0005432749,0.0005767898],"category_scores_gemma":[0.001751808,0.0003161097,0.0004567622,0.0004047135,0.0003414467,0.001067033,0.0009985747,0.0007294651,0.0001804804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005035573,"about_ca_system_score_gemma":0.0007802519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007418402,"about_ca_topic_score_gemma":0.005756084,"domain_scores_codex":[0.9996215,0.00006722517,0.00001911384,0.00009231189,0.000119579,0.00008029533],"domain_scores_gemma":[0.9992416,0.0002166245,0.0001538468,0.00006409542,0.0002351477,0.00008861251],"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":[0.0004476915,0.0002007854,0.05576174,0.0001010498,0.0001219035,0.0005817321,0.0003551675,0.7768956,0.008951991,0.003829749,0.00127924,0.1514733],"study_design_scores_gemma":[0.000001415728,0.00003166911,0.002796194,0.000003667805,0.000007981655,0.00004982745,0.00003701498,0.9950737,0.001052976,0.0007977475,0.0001399295,0.00000779723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3147458,0.000222709,0.6827976,0.0001088712,0.00004164744,0.00003700436,0.0001184175,0.0007797565,0.001148175],"genre_scores_gemma":[0.979563,0.00006750689,0.01956673,0.00001351717,0.000009364805,0.00001858126,0.0001369024,0.00002245579,0.0006020632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007418402,"threshold_uncertainty_score":0.01475042,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123895068","doi":"10.1109/jas.2020.1003435","title":"Adaptive Pseudo Inverse Control for a Class of Nonlinear Asymmetric and Saturated Nonlinear Hysteretic Systems","year":2021,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Fundamental Research Funds for the Central Universities; Japan Society for the Promotion of Science; National Natural Science Foundation of China","keywords":"Nonlinear system; Inverse; Control theory (sociology); Class (philosophy); Control (management); Hysteresis; Mathematics; Computer science; Physics; Artificial intelligence; Geometry; Condensed matter physics","authors":[{"name":"Xiuyu Zhang","is_ca":false},{"name":"Ruijing Jing","is_ca":false},{"name":"Zhiwei Li","is_ca":false},{"name":"Zhi Li","is_ca":false},{"name":"Xinkai Chen","is_ca":false},{"name":"Chun‐Yi Su","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009888876821310375,"gpt":0.2212416673397712,"spread":0.2113527905184608,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453528,0.0003093038,0.0002457539,0.0001994926,0.0002005613,0.0003161739,0.0003671458,0.0002764037,0.000830914],"category_scores_gemma":[0.0003282993,0.0000840704,0.0001864399,0.0001542642,0.0003439037,0.0002913712,0.0003154917,0.0003580958,0.00009681286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728596,"about_ca_system_score_gemma":0.00024773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009335935,"about_ca_topic_score_gemma":0.0009896717,"domain_scores_codex":[0.9998834,0.00001598517,0.000007405482,0.0000275386,0.00005075141,0.00001489861],"domain_scores_gemma":[0.9998891,0.00003782118,0.00002345557,0.00001330385,0.00003079415,0.000005450424],"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":[0.0002516286,0.0001032693,0.002159916,0.0004811295,0.00006228636,0.0006445769,0.0005062732,0.481919,0.202079,0.06730817,0.001507461,0.2429773],"study_design_scores_gemma":[0.000007550491,0.0000721138,0.0004383345,0.000004471411,0.000005930032,0.00007596764,0.00002034608,0.9902231,0.005207112,0.002395603,0.001543143,0.000006411845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1012297,0.0003073517,0.8912809,0.000122895,0.00003921098,0.00003971646,0.00002569813,0.0001938582,0.006760681],"genre_scores_gemma":[0.9738395,0.0001965627,0.0233218,0.00002598286,0.00002395099,0.00004503075,0.00003164269,0.000009998834,0.002505499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009335935,"threshold_uncertainty_score":0.002779722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2795756056","doi":"10.1109/jas.2018.7511069","title":"A Mode-Switching Motion Control System for Reactive Interaction and Surface Following Using Industrial Robots","year":2018,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Motion planning; RGB color model; Trajectory; Computer vision; Occupancy grid mapping; Robot; Artificial intelligence; Controller (irrigation); Fuzzy logic; PID controller; Real-time computing; Engineering; Control engineering; Mobile robot","authors":[{"name":"Danial Nakhaeinia","is_ca":true},{"name":"Pierre Payeur","is_ca":true},{"name":"Robert Laganière","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05085270997990477,"gpt":0.3078463335679382,"spread":0.2569936235880335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002733146,0.0004681203,0.0002708629,0.0002793265,0.0003174958,0.0002493404,0.0008588834,0.0002841631,0.001684248],"category_scores_gemma":[0.0003169188,0.0001664246,0.0002411337,0.0001463113,0.0002531303,0.0002649442,0.0003501683,0.0003045982,0.000356981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177387,"about_ca_system_score_gemma":0.0003436228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167874,"about_ca_topic_score_gemma":0.001223512,"domain_scores_codex":[0.9998116,0.00002021674,0.00001185082,0.00005064469,0.00008690473,0.00001892086],"domain_scores_gemma":[0.9998174,0.00003542634,0.00003851056,0.00003208045,0.00005825245,0.00001830701],"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":[0.0004515568,0.0002063279,0.001370239,0.0003107037,0.00003943616,0.0003097794,0.0004038879,0.03648543,0.3809996,0.004084526,0.002823721,0.572515],"study_design_scores_gemma":[0.000190657,0.001877689,0.005716113,0.00004831647,0.00008440117,0.0007067161,0.00007356723,0.8534154,0.1162632,0.001801007,0.01974623,0.00007672644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04968642,0.0001892885,0.9435307,0.00005721378,0.00008483086,0.0000927557,0.00003270923,0.003069825,0.003256188],"genre_scores_gemma":[0.8450535,0.0001266547,0.1510172,0.00007856484,0.00004155864,0.000205096,0.00007289374,0.00005094426,0.003353426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001684248,"threshold_uncertainty_score":0.005634367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380765912","doi":"10.1109/jas.2023.123282","title":"Fundamental Limits of Doppler Shift-Based, ToA-Based, and TDoA-Based Underwater Localization","year":2023,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Hong Kong University of Science and Technology; Government of Jiangsu Province; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Multilateration; Doppler effect; Focus (optics); Computer science; FDOA; Underwater; Time of arrival; Acoustics; Angle of arrival; SIGNAL (programming language); Real-time computing; Telecommunications; Wireless; Physics; Geology; Optics; Antenna (radio)","authors":[{"name":"Zijun Gong","is_ca":false},{"name":"Cheng Li","is_ca":true},{"name":"Ruoyu Su","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03097518858307357,"gpt":0.2620891405558723,"spread":0.2311139519727987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003722687,0.0007916994,0.0009745604,0.0008116694,0.0006120425,0.002725778,0.001636206,0.003306856,0.003015665],"category_scores_gemma":[0.01421733,0.0004389033,0.0003606717,0.0009784255,0.002786719,0.006297208,0.001647473,0.004618411,0.00187266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110647,"about_ca_system_score_gemma":0.0004670922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000507297,"about_ca_topic_score_gemma":0.0004930201,"domain_scores_codex":[0.9976715,0.0005215968,0.0002123844,0.0004849346,0.001002864,0.0001066194],"domain_scores_gemma":[0.986597,0.008780223,0.0004658094,0.0005444558,0.00335487,0.0002575883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003987419,0.00006259202,0.001624894,0.001090014,0.00008024192,0.0005720433,0.0004180931,0.02185667,0.006586304,0.3142996,0.05543488,0.5975758],"study_design_scores_gemma":[0.00005696386,0.0003062089,0.001267702,0.0006298381,0.0001029499,0.00219108,0.0003481383,0.2431004,0.009943002,0.3244955,0.4173528,0.0002055035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007699936,0.09555674,0.7749915,0.05784202,0.02635233,0.00005377041,0.0001950252,0.0003770866,0.03693165],"genre_scores_gemma":[0.3452879,0.1229806,0.3688206,0.01554558,0.1040665,0.0003041522,0.000237005,0.0004748242,0.04228283],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003722687,"threshold_uncertainty_score":0.01968765,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399060798","doi":"10.1109/jas.2024.124416","title":"Asynchronous Learning-Based Output Feedback Sliding Mode Control for Semi-Markov Jump Systems: A Descriptor Approach","year":2024,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; National Natural Science Foundation of China; National Science Foundation","keywords":"Jump; Computer science; Asynchronous communication; Control theory (sociology); Output feedback; Mode (computer interface); Asynchronous learning; Control (management); Markov chain; Hidden Markov model; Artificial intelligence; Mathematics; Machine learning; Physics; Human–computer interaction; Mathematics education; Telecommunications","authors":[{"name":"Zheng Wu","is_ca":false},{"name":"Yiyun Zhao","is_ca":false},{"name":"Fanbiao Li","is_ca":false},{"name":"Tao Yang","is_ca":false},{"name":"Yang Shi","is_ca":true},{"name":"Weihua Gui","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01291698917640091,"gpt":0.2447246408806657,"spread":0.2318076517042648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004866609,0.0005015069,0.0005324315,0.0003073018,0.0003015659,0.0006744935,0.000870506,0.0004539668,0.00106828],"category_scores_gemma":[0.0006809867,0.0001902602,0.0004637626,0.0003199247,0.0006069011,0.0005074515,0.0006861358,0.0007293202,0.0001561922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004581985,"about_ca_system_score_gemma":0.0006295663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003161658,"about_ca_topic_score_gemma":0.002133669,"domain_scores_codex":[0.999716,0.00005555894,0.00002062204,0.0000753621,0.00009437079,0.00003809355],"domain_scores_gemma":[0.9996672,0.0001332535,0.00006891722,0.00002291163,0.00008748644,0.00002034246],"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":[0.0001395915,0.00009383685,0.0007285757,0.0002692588,0.00005944683,0.0001375904,0.0002455455,0.8452171,0.0156627,0.04507042,0.0008457064,0.0915302],"study_design_scores_gemma":[0.000007221442,0.00005169313,0.00006327356,0.000002952784,0.000005040114,0.000007152783,0.000005372024,0.9972574,0.0005847504,0.001777045,0.0002343192,0.000003806975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01028421,0.0001794115,0.9876471,0.00004709191,0.000031571,0.00001549923,0.00001057531,0.0001133325,0.001671275],"genre_scores_gemma":[0.9674124,0.0003080663,0.02965341,0.00006048602,0.00006003626,0.00008807347,0.00004214068,0.000020258,0.002355157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003161658,"threshold_uncertainty_score":0.006286502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404294068","doi":"10.1109/jas.2024.124902","title":"From Static and Dynamic Perspectives: A Survey on Historical Data Benchmarks of Control Performance Monitoring","year":2024,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Fault Detection and Control Systems","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":"University of Alberta","funders":"State Key Laboratory of Industrial Control Technology; National Natural Science Foundation of China","keywords":"Computer science; Control (management); Data science; Artificial intelligence","authors":[{"name":"Pengyu Song","is_ca":false},{"name":"Chunhui Zhao","is_ca":false},{"name":"Biao Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01993770976380065,"gpt":0.2738555170943598,"spread":0.2539178073305592,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006085953,0.001929958,0.001929269,0.01053046,0.0007619057,0.005203905,0.002709148,0.001546426,0.002313695],"category_scores_gemma":[0.01970871,0.0007290349,0.0009153652,0.01274847,0.001677394,0.005811969,0.001749205,0.001632585,0.0007506297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773154,"about_ca_system_score_gemma":0.002062119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002885874,"about_ca_topic_score_gemma":0.001669892,"domain_scores_codex":[0.991935,0.001659444,0.001036949,0.001490016,0.003551505,0.0003271112],"domain_scores_gemma":[0.9846466,0.008852421,0.001619339,0.0009517512,0.003607571,0.0003223187],"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":[0.0002432893,0.0001582253,0.009315178,0.008144862,0.000169088,0.0002020202,0.0005733113,0.01839422,0.002118619,0.08357668,0.01138926,0.8657153],"study_design_scores_gemma":[0.00006967493,0.001330734,0.02542302,0.01766737,0.0006917361,0.002121335,0.002609638,0.1743177,0.01548348,0.1304032,0.6292459,0.0006362258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01702597,0.6812354,0.2573147,0.002776277,0.001046265,0.0002573973,0.001364871,0.001195605,0.03778335],"genre_scores_gemma":[0.3571925,0.504396,0.1252174,0.001318493,0.003005653,0.0005663717,0.003390991,0.0005068108,0.004405935],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01053046,"threshold_uncertainty_score":0.03218597,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403210875","doi":"10.1109/jas.2024.124692","title":"On Zero Dynamics and Controllable Cyber-Attacks in Cyber-Physical Systems and Dynamic Coding Schemes as Their Countermeasures","year":2024,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Cybersecurity and Information Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Qatar National Research Fund; North Atlantic Treaty Organization","keywords":"Cyber-physical system; Computer security; Coding (social sciences); Computer science; Zero (linguistics); Mathematics; Philosophy","authors":[{"name":"Mahdi Taheri","is_ca":true},{"name":"K. Khorasani","is_ca":true},{"name":"Nader Meskin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01041840512998587,"gpt":0.27061781175722,"spread":0.2601994066272341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001552502,0.001083237,0.0006149568,0.001016062,0.0004419547,0.001304318,0.0007292614,0.001158749,0.002444235],"category_scores_gemma":[0.007409726,0.0003086128,0.0007050252,0.0006526791,0.003270411,0.002764339,0.001610295,0.001919212,0.0002557076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043687,"about_ca_system_score_gemma":0.001078622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009085642,"about_ca_topic_score_gemma":0.0005932296,"domain_scores_codex":[0.998238,0.0006462553,0.00008611833,0.0003019832,0.0005161791,0.000211413],"domain_scores_gemma":[0.993461,0.004697991,0.0008273118,0.0004312669,0.0004456133,0.0001367652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000104698,0.00004420518,0.0006052383,0.000356581,0.00003773785,0.000275609,0.0002319497,0.3726666,0.009128482,0.5881277,0.0006527513,0.02776841],"study_design_scores_gemma":[0.00002392273,0.0002704019,0.0004279666,0.0001319894,0.00002683819,0.000247985,0.0001351896,0.837314,0.006429083,0.1521735,0.00277405,0.00004517197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03029059,0.001440556,0.9540726,0.0004718981,0.0000873108,0.00008102677,0.00004812779,0.00008175562,0.01342617],"genre_scores_gemma":[0.9416682,0.002685387,0.05185765,0.0001319533,0.0001176435,0.0001874936,0.00005297655,0.00003219168,0.003266538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002444235,"threshold_uncertainty_score":0.00821054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2773137334","doi":"10.1109/jas.2017.7510691","title":"Economical optimization of grid power factor using predictive data","year":2017,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Dalhousie University; U.S. Department of Energy","keywords":"Factor (programming language); Computer science; Power grid; Predictive power; Grid; Power (physics); Mathematics; Physics","authors":[{"name":"Chaojiong Huang","is_ca":false},{"name":"Jason Gu","is_ca":true},{"name":"Haiying Liu","is_ca":true},{"name":"Yuansheng Lu","is_ca":true},{"name":"Jun Luo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05302742896056461,"gpt":0.2895543089867297,"spread":0.2365268800261651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000441188,0.0007123018,0.0006149427,0.0004980206,0.0002846007,0.0006691556,0.0006458816,0.0004114606,0.001446391],"category_scores_gemma":[0.001273004,0.0002781789,0.000375789,0.0005461893,0.0003793482,0.0007316407,0.0004328173,0.0006476226,0.0001607314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054276,"about_ca_system_score_gemma":0.0007196207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005556814,"about_ca_topic_score_gemma":0.006317486,"domain_scores_codex":[0.9997171,0.00004037642,0.0000115233,0.00005013496,0.0001500617,0.00003081502],"domain_scores_gemma":[0.9996737,0.0001361355,0.000053803,0.00004436532,0.00008070657,0.00001134925],"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":[0.00005156555,0.00004821216,0.0004265208,0.00004088374,0.0000170418,0.00005051651,0.00002880318,0.9271203,0.003295043,0.004935016,0.0005908855,0.06339521],"study_design_scores_gemma":[0.000005912221,0.00001763635,0.00007413278,0.000001918272,0.000003827555,0.000005331013,0.00000310909,0.9976639,0.0009831601,0.0009462956,0.0002917738,0.000003020759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02991143,0.0001679942,0.9640541,0.0001667957,0.00004364827,0.00004711462,0.00005811813,0.0003706605,0.005180141],"genre_scores_gemma":[0.9289663,0.00009360833,0.06911175,0.0000414801,0.00002969157,0.00008041818,0.00005890683,0.00005244871,0.001565285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005556814,"threshold_uncertainty_score":0.01104897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3176538911","doi":"10.1109/jas.2021.1004054","title":"Development of Granular Fuzzy Relation Equations Based on a Subset of Data","year":2021,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Fuzzy Logic and Control 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 Alberta","funders":"National Natural Science Foundation of China","keywords":"Mathematics; Fuzzy logic; Particle swarm optimization; Granularity; Relation (database); Fuzzy number; Mathematical optimization; Defuzzification; Fuzzy set; Interval (graph theory); Fuzzy set operations; Data mining; Algorithm; Computer science; Artificial intelligence","authors":[{"name":"Dan Wang","is_ca":false},{"name":"Xiubin Zhu","is_ca":false},{"name":"Witold Pedycz","is_ca":true},{"name":"Zhenhua Yu","is_ca":false},{"name":"Zhiwu Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0692812921829738,"gpt":0.297573387494635,"spread":0.2282920953116612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003103449,0.0008064882,0.001339939,0.001909122,0.0005367344,0.002844885,0.001480226,0.0007278968,0.001714367],"category_scores_gemma":[0.009779793,0.0007147514,0.001709693,0.001978871,0.000789784,0.003375143,0.001553538,0.001643216,0.0004277168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113981,"about_ca_system_score_gemma":0.002351944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008450112,"about_ca_topic_score_gemma":0.007204663,"domain_scores_codex":[0.9973863,0.0003571804,0.00040459,0.0006555596,0.001087385,0.0001089158],"domain_scores_gemma":[0.9967837,0.001589273,0.0004191783,0.000405784,0.0007392847,0.00006264091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008313226,0.00007737466,0.003269576,0.0003477682,0.0001585526,0.0003629154,0.0006089768,0.6969744,0.01465821,0.1138826,0.001336382,0.1682401],"study_design_scores_gemma":[0.000007370473,0.00002251045,0.0003847795,0.00002815919,0.00002922859,0.00005209526,0.00004050642,0.9768525,0.003443196,0.01716744,0.001956708,0.00001545572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009364382,0.0001253525,0.9889578,0.00008781437,0.00001313144,0.0001014892,0.0001353204,0.0001349649,0.001079659],"genre_scores_gemma":[0.1821698,0.0004562646,0.8148164,0.00006186168,0.00002456519,0.0003658575,0.0005845195,0.00007538987,0.001445398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008450112,"threshold_uncertainty_score":0.01680189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406657782","doi":"10.1109/jas.2024.124824","title":"Deep Synchronization Control of Grid-Forming Converters: A Reinforcement Learning Approach","year":2025,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Reinforcement learning; Converters; Grid; Synchronization (alternating current); Reinforcement; Computer science; Control (management); Distributed computing; Artificial intelligence; Engineering; Telecommunications; Electrical engineering; Geology; Structural engineering; Voltage","authors":[{"name":"Zhuorui Wu","is_ca":false},{"name":"Meng Zhang","is_ca":false},{"name":"Bo Fan","is_ca":false},{"name":"Yang Shi","is_ca":true},{"name":"Xiaohong Guan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004196161012852592,"gpt":0.2033903837280886,"spread":0.199194222715236,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005263321,0.000375645,0.0003560477,0.0001042932,0.0002137777,0.0006695674,0.0005840426,0.0008381415,0.001815617],"category_scores_gemma":[0.001744532,0.00015519,0.000245994,0.0001450982,0.0004783055,0.0006349788,0.0004015361,0.001890561,0.0004418736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467372,"about_ca_system_score_gemma":0.0002478798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008395667,"about_ca_topic_score_gemma":0.001528557,"domain_scores_codex":[0.9998741,0.0000309857,0.0000107253,0.00003104154,0.00003903579,0.00001412734],"domain_scores_gemma":[0.9996881,0.0001376572,0.00002904033,0.00001859944,0.0001018756,0.00002459645],"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":[0.0005352954,0.0001355821,0.002052465,0.0004614134,0.0001868684,0.0007875922,0.0002523471,0.2764379,0.01742193,0.08487269,0.07188259,0.5449734],"study_design_scores_gemma":[0.00005139424,0.0001184563,0.000292843,0.00002875783,0.00004578415,0.0001327741,0.00002175501,0.947968,0.004468046,0.0140435,0.03280942,0.00001919611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02121314,0.003461203,0.9343891,0.02004271,0.01389361,0.00003964602,0.00007086593,0.0004525679,0.006437132],"genre_scores_gemma":[0.835601,0.003545632,0.1098258,0.00447272,0.01508657,0.00005426904,0.00007841438,0.0001735815,0.03116194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001815617,"threshold_uncertainty_score":0.006073833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411232151","doi":"10.1109/jas.2024.125037","title":"Adaptive Sliding Mode Control with Linear Extended State Observer for Active Magnetic Bearing-Rotor Systems","year":2025,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Magnetic Bearings and Levitation Dynamics","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":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Magnetic bearing; Control theory (sociology); State observer; Rotor (electric); Observer (physics); Sliding mode control; Bearing (navigation); State (computer science); Mode (computer interface); Computer science; Physics; Control (management); Engineering; Nonlinear system; Mechanical engineering; Artificial intelligence; Algorithm","authors":[{"name":"Yaozhong Zheng","is_ca":true},{"name":"Hai-Tao Zhang","is_ca":true},{"name":"Haichao Jiao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01117660888049654,"gpt":0.2472697035075819,"spread":0.2360930946270854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006163909,0.0004882537,0.0006045774,0.0002053305,0.0001497634,0.0007256883,0.0006467005,0.0009245481,0.002053011],"category_scores_gemma":[0.001533078,0.0001337807,0.000271717,0.0002956424,0.0003688512,0.0005626396,0.0003153377,0.00128868,0.0007210108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641712,"about_ca_system_score_gemma":0.0001663235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000687208,"about_ca_topic_score_gemma":0.001038484,"domain_scores_codex":[0.9997706,0.00004842529,0.00003428867,0.00004682568,0.00008102644,0.00001874948],"domain_scores_gemma":[0.9994029,0.0002573086,0.00005332598,0.00002945322,0.0002364209,0.00002061662],"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":[0.000751367,0.0001650596,0.001811433,0.001606498,0.0001791304,0.002347525,0.0006005409,0.1285589,0.03152248,0.02825986,0.0564179,0.7477793],"study_design_scores_gemma":[0.00007103734,0.0005281215,0.001046105,0.00006569229,0.00007016288,0.0004377588,0.00004615423,0.9099604,0.004943593,0.00376517,0.07903854,0.00002715996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01357602,0.006045594,0.9617251,0.002658234,0.01081077,0.00008368067,0.00007558081,0.0006881626,0.004336898],"genre_scores_gemma":[0.7783288,0.008682805,0.1458198,0.001626843,0.01991705,0.0002567198,0.0002744283,0.0001671392,0.04492636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002053011,"threshold_uncertainty_score":0.006868064,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399411102","doi":"10.1109/jas.2024.124356","title":"Semi-Decentralized Convex Optimization on $\\mathcal{SO}(3)$","year":2024,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Optimization and Search Problems","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 Toronto","funders":"National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Conic optimization; Regular polygon; Convex optimization; Mathematical optimization; Convex analysis; Mathematics; Computer science; Geometry","authors":[{"name":"Weijian Li","is_ca":true},{"name":"Peng Yi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0209859215172364,"gpt":0.3026453421870993,"spread":0.2816594206698629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009395871,0.0007919076,0.0009107913,0.0002707916,0.0003861759,0.001096632,0.00101521,0.001107534,0.004947396],"category_scores_gemma":[0.002662408,0.0002701428,0.0004949867,0.0005820165,0.0007842525,0.0009480534,0.0005943757,0.001797323,0.001813142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008049107,"about_ca_system_score_gemma":0.0007954994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417871,"about_ca_topic_score_gemma":0.002163613,"domain_scores_codex":[0.9994354,0.0001894389,0.00003229022,0.0001474497,0.0001569028,0.0000385382],"domain_scores_gemma":[0.9992009,0.0004090681,0.0000611586,0.00005032775,0.0002326728,0.00004597241],"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":[0.0003724816,0.00009058695,0.0006448567,0.0005129098,0.0001384695,0.000832976,0.0001529372,0.3523965,0.004755741,0.194497,0.2156281,0.2299775],"study_design_scores_gemma":[0.00004443803,0.00005285951,0.0002153251,0.00002745351,0.00002534535,0.00018176,0.00001527706,0.9154305,0.001598096,0.03457019,0.0478149,0.0000237994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007781782,0.001692719,0.9617365,0.01329091,0.006402725,0.00004609043,0.0001804981,0.0002755745,0.00859332],"genre_scores_gemma":[0.5079919,0.005249604,0.3860035,0.005070006,0.02405379,0.0003437387,0.0005646351,0.0009669634,0.06975582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004947396,"threshold_uncertainty_score":0.01655066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}