{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":202,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":202,"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":"50348001a46e","filters":{"venue":"IEEE Transactions on Transportation Electrification"}},"results":[{"id":"W3113110972","doi":"10.1109/tte.2020.3044938","title":"800-V Electric Vehicle Powertrains: Review and Analysis of Benefits, Challenges, and Future Trends","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":395,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Propulsion; Electric vehicle; Range (aeronautics); Power (physics); Battery capacity; Computer science; Engineering; Electrical engineering; Torque; Aerospace engineering; Physics","authors":[{"name":"Iman Aghabali","is_ca":true},{"name":"Jennifer Bauman","is_ca":true},{"name":"Phillip J. Kollmeyer","is_ca":true},{"name":"Yawei Wang","is_ca":true},{"name":"Berker Bilgin","is_ca":true},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02262789215295969,"gpt":0.2508181797627161,"spread":0.2281902876097564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006823497,0.0005146639,0.0004986868,0.00176059,0.0001794814,0.0009598137,0.0008494471,0.0006810088,0.002040576],"category_scores_gemma":[0.0009282062,0.0002942331,0.0003666233,0.002696202,0.0003197671,0.002070998,0.0004555165,0.0007088066,0.0007019864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005189266,"about_ca_system_score_gemma":0.0009364733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133159,"about_ca_topic_score_gemma":0.001826972,"domain_scores_codex":[0.999684,0.00003290846,0.00003900121,0.00005131332,0.0001702028,0.00002272173],"domain_scores_gemma":[0.9991837,0.0003483719,0.00008622146,0.00001834854,0.0003370852,0.00002627831],"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":[0.00005754322,0.00007647902,0.0008790974,0.01438328,0.00006945666,0.0001245666,0.00009343849,0.002532168,0.003514862,0.01024894,0.01192371,0.9560965],"study_design_scores_gemma":[0.000007526378,0.000299751,0.002298646,0.004559911,0.0001516416,0.0008274988,0.0002898124,0.001738616,0.003570117,0.004781522,0.9814253,0.00004969173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002934756,0.9862912,0.002841267,0.0007574119,0.0003027722,0.00001998644,0.00008217117,0.00003524632,0.006735199],"genre_scores_gemma":[0.01239141,0.9836043,0.001317432,0.0003051831,0.0002997139,0.00001553399,0.0001642894,0.00001188088,0.001890341],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002040576,"threshold_uncertainty_score":0.006826341,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3074222438","doi":"10.1109/tte.2020.3017090","title":"Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":361,"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":"Graduate School, Chongqing University; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Feature selection; Kriging; Artificial intelligence; Computer science; Machine learning; Artificial neural network; Data pre-processing; Support vector machine; Data mining; Relevance vector machine; Sensor fusion","authors":[{"name":"Yunhong Che","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Simona Onori","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02570776742210633,"gpt":0.2531639673262165,"spread":0.2274561999041101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009670886,0.001009215,0.001242676,0.001814262,0.0003114375,0.0006979207,0.0005764755,0.0005139778,0.0005829444],"category_scores_gemma":[0.002480122,0.0001831022,0.00107693,0.00152956,0.0002036061,0.0008707626,0.0005433619,0.0005286263,0.0002499476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003881845,"about_ca_system_score_gemma":0.0004409506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004452901,"about_ca_topic_score_gemma":0.002279223,"domain_scores_codex":[0.9994876,0.00008717019,0.00005615477,0.000128302,0.0001724272,0.0000683647],"domain_scores_gemma":[0.9992606,0.0003061515,0.00009379951,0.00006307529,0.0002544457,0.00002194485],"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":[0.0005239061,0.0003880158,0.05219569,0.0002286813,0.0003053752,0.0003678726,0.0001172154,0.3396526,0.01254328,0.001361488,0.004317751,0.5879982],"study_design_scores_gemma":[0.00001106387,0.00009828586,0.0100024,0.00001151506,0.00004937813,0.00007868292,0.00003115517,0.9854831,0.002956686,0.0008261,0.0004343202,0.0000173333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2568089,0.001408539,0.7368497,0.0003499434,0.0001563551,0.0001304716,0.0007801516,0.0017741,0.001741765],"genre_scores_gemma":[0.9660937,0.0003302044,0.03215415,0.00004564652,0.00005889172,0.00007932224,0.0007408614,0.00002037276,0.000476869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004452901,"threshold_uncertainty_score":0.008853972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2784141121","doi":"10.1109/tte.2018.2792330","title":"Modular Multilevel Converters for Transportation Electrification: Challenges and Opportunities","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":336,"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":"","keywords":"Converters; Modular design; Electrification; Network topology; Engineering; Electric traction; Computer science; Electric vehicle; Electrical engineering; Systems engineering; Automotive engineering; Power (physics); Voltage; Electricity; Computer network","authors":[{"name":"Deepak Ronanki","is_ca":true},{"name":"Sheldon S. Williamson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0498302336569699,"gpt":0.2404798253776509,"spread":0.190649591720681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002951307,0.0002935127,0.0004054901,0.000566381,0.0001742842,0.0007547188,0.0004597091,0.0006251521,0.002444314],"category_scores_gemma":[0.0003247989,0.0001531619,0.0002481525,0.00110563,0.0003100655,0.001459482,0.0004463503,0.001113361,0.0006741356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507668,"about_ca_system_score_gemma":0.0003281432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001823351,"about_ca_topic_score_gemma":0.0003108496,"domain_scores_codex":[0.9998804,0.0000255823,0.000006967343,0.00001801231,0.00005847253,0.00001046417],"domain_scores_gemma":[0.9998866,0.00004144048,0.00001550282,0.000009494423,0.00003915866,0.000007725031],"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":[0.00007870103,0.00006615659,0.0003744205,0.003300678,0.00004789016,0.0003212899,0.0001758794,0.01063224,0.02867193,0.1964234,0.01010549,0.749802],"study_design_scores_gemma":[0.00003881354,0.000436976,0.001133175,0.001502075,0.00008916746,0.0020777,0.0002928685,0.04344221,0.01487098,0.1895528,0.7464916,0.00007164369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01369658,0.7838703,0.1485978,0.005849085,0.0007994096,0.00006364741,0.00009675914,0.0002896487,0.04673673],"genre_scores_gemma":[0.2197143,0.6977585,0.06677058,0.0009423305,0.002000341,0.00009161335,0.0001876961,0.00005181296,0.01248289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002444314,"threshold_uncertainty_score":0.008177102,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3172732923","doi":"10.1109/tte.2021.3089605","title":"Review of Electric Machines in More-/Hybrid-/Turbo-Electric Aircraft","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":313,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upgrade; Automotive engineering; Electrification; Propulsion; Turbofan; Electrically powered spacecraft propulsion; Electric motor; Takeoff; Electric machine; Controllability; Aerospace; Battery electric vehicle; Engineering; Computer science; Battery (electricity); Aerospace engineering; Electricity; Mechanical engineering; Electrical engineering","authors":[{"name":"Ehab Sayed","is_ca":true},{"name":"Mohamed Abdalmagid","is_ca":true},{"name":"Giorgio Pietrini","is_ca":true},{"name":"Nicole-Marie Sa'adeh","is_ca":true},{"name":"Alan Dorneles Callegaro","is_ca":true},{"name":"Cyrille Goldstein","is_ca":true},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01005837640623753,"gpt":0.2467186081329686,"spread":0.2366602317267311,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004149543,0.0008325354,0.0008266282,0.002161502,0.0002677543,0.0009670951,0.0007734258,0.0008685837,0.004923384],"category_scores_gemma":[0.000634868,0.0004054261,0.0005549465,0.002948623,0.0003618188,0.001992271,0.0004389142,0.0008453146,0.002545258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004325639,"about_ca_system_score_gemma":0.0005590349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006962536,"about_ca_topic_score_gemma":0.0008566137,"domain_scores_codex":[0.9997105,0.00004264507,0.00004821484,0.00006751592,0.0001106175,0.00002050831],"domain_scores_gemma":[0.9995208,0.0002455419,0.00005229494,0.00001831927,0.0001454039,0.00001770353],"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":[0.0001030051,0.0001134616,0.0003376291,0.02931201,0.00009551084,0.0002876176,0.0001256463,0.002913803,0.008463907,0.01828841,0.04256855,0.8973904],"study_design_scores_gemma":[0.000003663684,0.0001263921,0.0006726456,0.002633365,0.00006390855,0.0006638755,0.00005601423,0.0004410796,0.001990538,0.002285804,0.9910424,0.00002023208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007616169,0.9885333,0.001984283,0.0002397523,0.0007711353,0.000009997922,0.00004249828,0.000017936,0.007639487],"genre_scores_gemma":[0.004874953,0.9871349,0.001724221,0.000233162,0.0008312789,0.00001306945,0.00009087651,0.00001254907,0.005085072],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004923384,"threshold_uncertainty_score":0.01647031,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2989633012","doi":"10.1109/tte.2019.2956355","title":"A Review on Multiphase Drives for Automotive Traction Applications","year":2019,"lang":"en","type":"review","venue":"IEEE Transactions on Transportation Electrification","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":296,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive industry; Traction (geology); Computer science; Network topology; Dual (grammatical number); Process (computing); Electric vehicle; Engineering; Automotive engineering; Control engineering; Mechanical engineering; Aerospace engineering; Physics","authors":[{"name":"Ahmed Salem","is_ca":true},{"name":"Mehdi Narimani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04875229863954736,"gpt":0.3163781553188287,"spread":0.2676258566792813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003594391,0.001049347,0.0009221213,0.002814894,0.000365366,0.001069844,0.001030197,0.00114364,0.01333674],"category_scores_gemma":[0.0005513757,0.0004200421,0.000541804,0.00337478,0.0002719785,0.002065885,0.0006204318,0.001396537,0.009622962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231234,"about_ca_system_score_gemma":0.00087238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006006159,"about_ca_topic_score_gemma":0.0009302677,"domain_scores_codex":[0.9996921,0.00002691871,0.00004284607,0.00006257845,0.0001530984,0.00002244602],"domain_scores_gemma":[0.9995783,0.0001430476,0.00005889232,0.00001753561,0.0001767846,0.00002541755],"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":[0.00004169815,0.00008760315,0.0001360945,0.01581814,0.0000395467,0.0001700834,0.00005932887,0.0006567781,0.00398042,0.004343148,0.04117185,0.9334954],"study_design_scores_gemma":[0.000003559222,0.00006143287,0.0002756217,0.00141383,0.00002993114,0.0006441546,0.00002304753,0.0001394492,0.0006343527,0.0009059267,0.995856,0.00001263278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003992083,0.9867728,0.002045506,0.00032082,0.0009136178,0.00003086501,0.00008019743,0.00004922046,0.009387818],"genre_scores_gemma":[0.002362082,0.9840208,0.002448394,0.0004173246,0.0007663863,0.00003066563,0.000212605,0.00001628448,0.009725555],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01333674,"threshold_uncertainty_score":0.04461586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3048858172","doi":"10.1109/tte.2020.3015743","title":"A Comprehensive Review of DC Fast-Charging Stations With Energy Storage: Architectures, Power Converters, and Analysis","year":2020,"lang":"en","type":"review","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":255,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Energy storage; TRIPS architecture; Converters; Computer science; Grid; Electrical engineering; Power (physics); Automotive engineering; Environmental economics; Engineering; Operating system; Voltage","authors":[{"name":"Md Ahsanul Hoque Rafi","is_ca":true},{"name":"Jennifer Bauman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01673242143641042,"gpt":0.2719929342156285,"spread":0.2552605127792181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005003905,0.001015702,0.001086237,0.002687289,0.0002649715,0.0009115569,0.0008155902,0.0007946524,0.006418784],"category_scores_gemma":[0.0008285195,0.0004168222,0.0007272165,0.003566304,0.0001842074,0.001676143,0.0004603583,0.0007175948,0.003208447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525218,"about_ca_system_score_gemma":0.001090573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009120118,"about_ca_topic_score_gemma":0.001536409,"domain_scores_codex":[0.9997525,0.00002963435,0.00003977566,0.00005007505,0.0001085471,0.00001949092],"domain_scores_gemma":[0.9996164,0.0001661312,0.00004817867,0.00001596864,0.0001364976,0.0000169319],"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":[0.00006375556,0.00008421065,0.0002082954,0.03885181,0.0001081805,0.0001604759,0.00005956357,0.001263381,0.004113125,0.00656551,0.03013846,0.9183832],"study_design_scores_gemma":[0.000007822733,0.0001815278,0.0005539256,0.004246233,0.0001883083,0.0005959679,0.00004569481,0.0003557075,0.001721982,0.001534864,0.9905405,0.00002748407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005729463,0.9924521,0.001372232,0.0002172905,0.0002555717,0.00002319021,0.0001379887,0.00003360328,0.004934991],"genre_scores_gemma":[0.002280678,0.9938936,0.001199839,0.0001761509,0.0001607104,0.00001898479,0.0001983762,0.000008062103,0.002063627],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006418784,"threshold_uncertainty_score":0.02147299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3024286251","doi":"10.1109/tte.2020.2994543","title":"State-of-Health Estimation of Lithium-Ion Batteries Using Incremental Capacity Analysis Based on Voltage–Capacity Model","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":199,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"State of health; Battery (electricity); Voltage; Computer science; Lithium-ion battery; Process (computing); Battery capacity; Control theory (sociology); Reliability engineering; Artificial intelligence; Engineering; Electrical engineering; Power (physics)","authors":[{"name":"Jiangtao He","is_ca":true},{"name":"Zhongbao Wei","is_ca":false},{"name":"Xiaolei Bian","is_ca":false},{"name":"Fengjun Yan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0477639405610212,"gpt":0.2804941251734178,"spread":0.2327301846123966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002933354,0.0006166077,0.0004170424,0.0008993149,0.0001976096,0.0005079667,0.0007590725,0.0003882226,0.0009363836],"category_scores_gemma":[0.001311147,0.0001888086,0.000498452,0.0006273563,0.0002851648,0.0009805406,0.0004049933,0.0003870853,0.0003040232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004850952,"about_ca_system_score_gemma":0.0004913814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633591,"about_ca_topic_score_gemma":0.003673488,"domain_scores_codex":[0.9998535,0.00001886345,0.000008882907,0.00003788658,0.00006337974,0.00001741476],"domain_scores_gemma":[0.9997311,0.0001066744,0.00004216399,0.00003379162,0.00007864104,0.000007587031],"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":[0.0001896437,0.0001095462,0.01052024,0.0003254469,0.00008977873,0.0002198735,0.0002025071,0.7444936,0.04173713,0.006212502,0.001850766,0.194049],"study_design_scores_gemma":[0.00000208529,0.000021841,0.001240138,0.000007274256,0.00001062628,0.00004330704,0.00001490934,0.9906335,0.0063795,0.00111541,0.0005157458,0.00001560854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1521294,0.0008956495,0.8393537,0.0001284314,0.00004409815,0.00009357114,0.0004929947,0.001730811,0.005131282],"genre_scores_gemma":[0.9714112,0.0004229682,0.02613194,0.00004693836,0.00001792421,0.00008778964,0.0004254834,0.00006162558,0.001394078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003633591,"threshold_uncertainty_score":0.007224858,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2614791712","doi":"10.1109/tte.2017.2703583","title":"Comprehensive Topological Overview of Rolling Stock Architectures and Recent Trends in Electric Railway Traction Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":196,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Insulated-gate bipolar transistor; Power electronics; Traction motor; Traction substation; Standardization; Traction (geology); Engineering; Train; Transformer; Traction control system; Electric traction; Electrical engineering; Automotive engineering; Computer science; Mechanical engineering; Voltage","authors":[{"name":"Deepak Ronanki","is_ca":true},{"name":"Siddhartha A. Singh","is_ca":true},{"name":"Sheldon S. Williamson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04409467576225608,"gpt":0.2825435967612039,"spread":0.2384489209989478,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001177475,0.0004011457,0.0002085054,0.001458941,0.0002923727,0.0008894684,0.0003954485,0.000402095,0.00781526],"category_scores_gemma":[0.0001943237,0.000217194,0.0002329068,0.002153458,0.0001855416,0.001380742,0.0003190594,0.0003193223,0.001710048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005122653,"about_ca_system_score_gemma":0.000294755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230576,"about_ca_topic_score_gemma":0.001413051,"domain_scores_codex":[0.9999098,0.00001046539,0.00000780617,0.00002112024,0.00003696929,0.00001391821],"domain_scores_gemma":[0.9999199,0.00001650158,0.00001201942,0.000006156447,0.00003898063,0.000006390548],"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":[0.00009880591,0.00005247722,0.00189344,0.002054655,0.00003607618,0.0003467736,0.0002891267,0.03109352,0.01881263,0.1267641,0.02083867,0.7977197],"study_design_scores_gemma":[0.000009031419,0.0002510153,0.003907805,0.0006232943,0.00006176336,0.001479296,0.0003556274,0.04411201,0.006324902,0.03043021,0.9123865,0.00005847096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07613774,0.3665656,0.2658596,0.002424176,0.001290085,0.0001672196,0.000984458,0.001654796,0.2849164],"genre_scores_gemma":[0.5121252,0.2933467,0.075754,0.0005816405,0.001408313,0.0001327266,0.001996446,0.0002419689,0.114413],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00781526,"threshold_uncertainty_score":0.02614468,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088650053","doi":"10.1109/tte.2020.3025352","title":"Naturalistic Data-Driven Predictive Energy Management for Plug-In Hybrid Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","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":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Weighting; Battery (electricity); Computer science; Term (time); Energy management; Automotive engineering; Model predictive control; Plug-in; Energy (signal processing); Simulation; Engineering; Artificial intelligence; Statistics; Control (management)","authors":[{"name":"Xiaolin Tang","is_ca":false},{"name":"Tong Jia","is_ca":false},{"name":"Yanjun Huang","is_ca":true},{"name":"Zhongwei Deng","is_ca":false},{"name":"Huayan Pu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02591411682562115,"gpt":0.2606725886437888,"spread":0.2347584718181676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003479208,0.0004776485,0.0005759721,0.0003481177,0.0003088962,0.0005415647,0.0007279228,0.0003844458,0.0007958152],"category_scores_gemma":[0.0007732586,0.0002952525,0.0003674953,0.0004059864,0.0003533436,0.0005297328,0.0004592403,0.0006059645,0.00009272374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499914,"about_ca_system_score_gemma":0.0006681376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008336441,"about_ca_topic_score_gemma":0.00819298,"domain_scores_codex":[0.9999036,0.00002109274,0.000005607711,0.00002414225,0.00003071751,0.00001488181],"domain_scores_gemma":[0.9997486,0.0001328342,0.00003061724,0.00001486251,0.00006222088,0.00001083237],"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":[0.000023456,0.00001937708,0.0003703786,0.00002404951,0.00001141493,0.00003405454,0.00001814293,0.9828332,0.000585845,0.001691679,0.0002618699,0.01412656],"study_design_scores_gemma":[6.848303e-7,0.000002929089,0.00003697833,6.652013e-7,7.686885e-7,0.000001784082,0.000001822044,0.9995319,0.00007360932,0.0002983074,0.00004982128,7.561023e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06397574,0.0003411839,0.9313811,0.0002338372,0.00006990092,0.00004476112,0.00009831153,0.0004185006,0.003436686],"genre_scores_gemma":[0.9792148,0.00009691844,0.01950163,0.00003554949,0.00002100553,0.00005657528,0.00007838962,0.00001705252,0.0009780214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008336441,"threshold_uncertainty_score":0.01657587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3040133622","doi":"10.1109/tte.2020.3006045","title":"Power Electronic Converters in Electric Aircraft: Current Status, Challenges, and Emerging Technologies","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Electrification; Power electronics; Aviation; Converters; Electronics; Engineering; Emerging technologies; Electric power system; Telecommunications; Electrical engineering; Systems engineering; Power (physics); Electricity; Computer science; Aerospace engineering","authors":[{"name":"Lea Dorn-Gomba","is_ca":true},{"name":"John Ramoul","is_ca":true},{"name":"John Reimers","is_ca":true},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01565153268338883,"gpt":0.2213136375514522,"spread":0.2056621048680633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005089845,0.000383387,0.0003342662,0.001152203,0.0002622596,0.001491254,0.000516242,0.0008964963,0.002910346],"category_scores_gemma":[0.0005457586,0.0002679139,0.000206779,0.001732301,0.0005236773,0.003212872,0.0004002843,0.001095749,0.001256525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841443,"about_ca_system_score_gemma":0.0004484746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965359,"about_ca_topic_score_gemma":0.00063562,"domain_scores_codex":[0.9997529,0.0000369526,0.00002321844,0.00003955481,0.0001292611,0.00001801012],"domain_scores_gemma":[0.9995881,0.0002148878,0.0000354369,0.00001635815,0.0001276073,0.00001767675],"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":[0.00006932462,0.0001220748,0.001113697,0.004696652,0.00002428761,0.0003231286,0.0002257121,0.003491898,0.01037119,0.04559442,0.01178809,0.9221796],"study_design_scores_gemma":[0.00001374114,0.0005045949,0.002524156,0.003576952,0.00007181448,0.002624423,0.000915988,0.009717931,0.009469443,0.04785793,0.9226513,0.0000717767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005594059,0.9609511,0.0097557,0.002009821,0.0005000082,0.000014784,0.00003046715,0.00007841564,0.02106572],"genre_scores_gemma":[0.03926542,0.9448323,0.006329622,0.0004909624,0.0008334036,0.0000121428,0.00007629187,0.00001910031,0.008140587],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002910346,"threshold_uncertainty_score":0.009736061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3197437737","doi":"10.1109/tte.2021.3101470","title":"Double Deep Reinforcement Learning-Based Energy Management for a Parallel Hybrid Electric Vehicle With Engine Start–Stop Strategy","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":155,"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":"State Key Laboratory of Mechanical System and Vibration; National Natural Science Foundation of China","keywords":"Reinforcement learning; Throttle; Computer science; Energy management; Fuel efficiency; Automotive engineering; Dynamic programming; Control (management); Artificial intelligence; Engineering; Energy (signal processing); Algorithm","authors":[{"name":"Xiaolin Tang","is_ca":false},{"name":"Jiaxin Chen","is_ca":false},{"name":"Huayan Pu","is_ca":false},{"name":"Teng Liu","is_ca":true},{"name":"Amir Khajepour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01014844742449308,"gpt":0.2029117613362854,"spread":0.1927633139117923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004235574,0.000509051,0.0004673574,0.0002078514,0.0002863579,0.0004427005,0.000658689,0.0004302799,0.001232772],"category_scores_gemma":[0.0004938083,0.00023983,0.0003100141,0.0001484456,0.0003737235,0.0004055111,0.0005018992,0.0005814313,0.0001495737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006664698,"about_ca_system_score_gemma":0.0008823003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009193693,"about_ca_topic_score_gemma":0.006971939,"domain_scores_codex":[0.9998393,0.00002767079,0.000009373644,0.00004426481,0.00004263714,0.00003670514],"domain_scores_gemma":[0.999833,0.0000470309,0.00002801175,0.0000135613,0.00006067324,0.00001771337],"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":[0.000069174,0.00006309866,0.0006970628,0.00003021231,0.00002707083,0.00006825377,0.00002239747,0.9568473,0.003271874,0.002172824,0.0004700585,0.03626074],"study_design_scores_gemma":[0.000005670714,0.00002002724,0.00005706703,0.00000107665,0.000002782425,0.000004037578,0.000001495553,0.9991203,0.0003543464,0.0003003505,0.0001311739,0.000001611727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1318099,0.0004687963,0.856403,0.0004017604,0.000129162,0.00007470333,0.00005148765,0.0008327308,0.009828446],"genre_scores_gemma":[0.9813809,0.00005659843,0.01609494,0.00006225305,0.00000970054,0.00004073166,0.00002661148,0.0000120539,0.002316193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009193693,"threshold_uncertainty_score":0.01828033,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3183782021","doi":"10.1109/tte.2021.3100843","title":"Active Safety Control of Automated Electric Vehicles at Driving Limits: A Tube-Based MPC Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":139,"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":"Model predictive control; Control theory (sociology); Robustness (evolution); Engineering; Active safety; Control engineering; Controller (irrigation); Stability (learning theory); Vehicle dynamics; Computer science; Automotive engineering; Control (management); Artificial intelligence","authors":[{"name":"Peng Hang","is_ca":false},{"name":"Xin Xia","is_ca":true},{"name":"Guang Chen","is_ca":false},{"name":"Xinbo Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005566211873133105,"gpt":0.1917776654356524,"spread":0.1862114535625193,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002499419,0.0007335288,0.0005388896,0.0003051702,0.000307262,0.0005200127,0.0008064178,0.0005017333,0.00088492],"category_scores_gemma":[0.0003664982,0.0002651142,0.0003983674,0.0002906149,0.0004781913,0.0004120664,0.0005707353,0.0005391211,0.0001888977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003187979,"about_ca_system_score_gemma":0.0005008486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004288705,"about_ca_topic_score_gemma":0.002312363,"domain_scores_codex":[0.9998197,0.00002888105,0.000006567205,0.00004197577,0.00007645533,0.00002649748],"domain_scores_gemma":[0.999814,0.00004927208,0.00004097643,0.00001479992,0.00006894193,0.00001214277],"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":[0.00009413958,0.00003243504,0.0003190696,0.00006255697,0.00002687921,0.00007379875,0.00005567748,0.9540102,0.01162444,0.002405217,0.000385973,0.03090956],"study_design_scores_gemma":[0.000003648451,0.00004366343,0.00008933795,0.000002249164,0.000004251228,0.000005044599,0.000002730289,0.9985285,0.0008045778,0.0002475627,0.0002658218,0.00000261179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05224283,0.0002794886,0.9414647,0.00006661064,0.00003185873,0.00003103851,0.00002538576,0.0004852342,0.005372861],"genre_scores_gemma":[0.977566,0.0001282935,0.02042841,0.00002432708,0.00002367201,0.00005774634,0.00003734412,0.00002080207,0.00171343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004288705,"threshold_uncertainty_score":0.008527458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127612696","doi":"10.1109/tte.2021.3056432","title":"Powertrain Design and Control in Electrified Vehicles: A Critical Review","year":2021,"lang":"en","type":"review","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":136,"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":"State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body; National Natural Science Foundation of China","keywords":"Powertrain; Energy management; Sizing; Automotive engineering; Component (thermodynamics); Mechatronics; Computer science; Engineering; Systems engineering; Control engineering; Energy (signal processing); Torque","authors":[{"name":"Jie Han","is_ca":false},{"name":"Xiaolin Tang","is_ca":false},{"name":"Xianke Lin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03738021711808238,"gpt":0.2923816735070388,"spread":0.2550014563889564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007641212,0.001110106,0.001229909,0.001844217,0.0002646536,0.0009965545,0.001142081,0.001288921,0.003237083],"category_scores_gemma":[0.00114894,0.0005433839,0.0006285027,0.00254242,0.0004767926,0.001781845,0.0006383026,0.001379682,0.001346464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005794,"about_ca_system_score_gemma":0.001267694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598013,"about_ca_topic_score_gemma":0.001390302,"domain_scores_codex":[0.999718,0.00003558656,0.00005054259,0.00005418256,0.0001188494,0.00002288707],"domain_scores_gemma":[0.9993073,0.0003640663,0.00007303727,0.00001835855,0.0002105379,0.00002677685],"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":[0.00005673389,0.0001116597,0.0002150891,0.0306869,0.0001243924,0.0001565741,0.00008013698,0.003147357,0.0016387,0.009086751,0.01718791,0.9375077],"study_design_scores_gemma":[0.00001759194,0.0002546183,0.000899556,0.009729752,0.0002779891,0.0007757179,0.0001132309,0.001159693,0.001427478,0.003964784,0.9813269,0.00005266738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001406834,0.9980653,0.0006671972,0.0001156162,0.0001724262,0.000006099324,0.00001017655,0.000006485901,0.0008161382],"genre_scores_gemma":[0.001310906,0.9973126,0.0006486474,0.0000923238,0.000195672,0.000008274916,0.0000277407,0.00000273368,0.0004010179],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003237083,"threshold_uncertainty_score":0.01082909,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2991063206","doi":"10.1109/tte.2019.2953606","title":"A Comparative Study of Control-Oriented Thermal Models for Cylindrical Li-Ion Batteries","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":135,"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":"Particle swarm optimization; Convection; Thermal; Thermal conduction; Computer science; Heat transfer; Lithium (medication); Materials science; Automotive industry; Mechanical engineering; Convective heat transfer; Nuclear engineering; Simulation; Algorithm; Mechanics; Aerospace engineering; Engineering; Thermodynamics; Physics; Composite material","authors":[{"name":"Wenxue Liu","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Yi Xie","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02384491672467481,"gpt":0.2794900410689015,"spread":0.2556451243442267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002536294,0.0005441943,0.0006086093,0.0003151757,0.0002563682,0.0006178401,0.0005154096,0.0004593254,0.0009525216],"category_scores_gemma":[0.0008343784,0.0001688832,0.000486544,0.0004065942,0.0002749007,0.0006029636,0.0002549478,0.0003256214,0.0001333368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244221,"about_ca_system_score_gemma":0.0004762886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005296054,"about_ca_topic_score_gemma":0.002977386,"domain_scores_codex":[0.9998778,0.00004086876,0.00000908694,0.00001759333,0.00004239765,0.00001219731],"domain_scores_gemma":[0.9997255,0.0001409886,0.00003429216,0.00002804383,0.00005996787,0.00001117509],"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":[0.00003838736,0.000013421,0.0003154252,0.00004670937,0.000005839309,0.00002673248,0.0000282344,0.9919658,0.001461033,0.001560461,0.0001160594,0.004421894],"study_design_scores_gemma":[0.000003152973,0.00003146467,0.0001751414,0.000003035789,0.000004162714,0.000008339012,0.00001124585,0.9986172,0.0005228877,0.0002337776,0.0003861109,0.000003463801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5434366,0.002308751,0.4200174,0.0002938382,0.00009828864,0.0001794549,0.0005480539,0.000605053,0.03251252],"genre_scores_gemma":[0.9856753,0.0007371246,0.01179444,0.00001643923,0.000008106021,0.00007845442,0.0001784122,0.0000279977,0.001483799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005296054,"threshold_uncertainty_score":0.01053047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094320978","doi":"10.1109/tte.2020.3032737","title":"A Two-Step Parameter Optimization Method for Low-Order Model-Based State-of-Charge Estimation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"China Scholarship Council","keywords":"State of charge; Particle swarm optimization; Computer science; Estimator; Extended Kalman filter; Kalman filter; Algorithm; Mathematical optimization; Artificial intelligence; Mathematics; Battery (electricity)","authors":[{"name":"Xiaolei Bian","is_ca":false},{"name":"Zhongbao Wei","is_ca":false},{"name":"Jiangtao He","is_ca":true},{"name":"Fengjun Yan","is_ca":true},{"name":"Longcheng Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02203272924940047,"gpt":0.2937536929188917,"spread":0.2717209636694912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004774386,0.0009510008,0.0008642684,0.0004855366,0.0003967285,0.0006775567,0.0006337424,0.0007744886,0.001970979],"category_scores_gemma":[0.001560136,0.0005239515,0.0007823261,0.0004125147,0.00035872,0.0006641333,0.0006090701,0.001142505,0.000600705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003934269,"about_ca_system_score_gemma":0.0009760295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006481529,"about_ca_topic_score_gemma":0.005337863,"domain_scores_codex":[0.9997628,0.00005357962,0.00001885271,0.00005902184,0.00008481672,0.00002091324],"domain_scores_gemma":[0.9997061,0.0001323824,0.00003721589,0.00002867548,0.00008637652,0.000009221336],"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":[0.00005624542,0.00004758161,0.0005507845,0.0001469212,0.00005309205,0.00005925112,0.00008097687,0.8670997,0.00773199,0.005215774,0.001130701,0.117827],"study_design_scores_gemma":[0.000003649948,0.00001205249,0.00009118277,0.000003960296,0.000004532083,0.00001135259,0.000002946845,0.9983575,0.0006900093,0.0003578633,0.0004604429,0.000004449586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002591249,0.0000927393,0.9961126,0.00002992966,0.0000155598,0.00001769652,0.00001543792,0.0002471244,0.0008776371],"genre_scores_gemma":[0.5024889,0.0004451252,0.49117,0.0001079228,0.0000619452,0.0004232052,0.0003076782,0.0002294756,0.004765774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006481529,"threshold_uncertainty_score":0.0128876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2587693299","doi":"10.1109/tte.2017.2664778","title":"Three-Phase 24/16 Switched Reluctance Machine for a Hybrid Electric Powertrain","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Switched reluctance motor; Stator; Reluctance motor; Torque ripple; Powertrain; Control theory (sociology); Rotor (electric); Torque; Direct torque control; Electric vehicle; Traction motor; Automotive engineering; Engineering; Computer science; Induction motor; Voltage; Mechanical engineering; Physics; Electrical engineering; Power (physics)","authors":[{"name":"James Weisheng Jiang","is_ca":true},{"name":"Berker Bilgin","is_ca":true},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01690121748602309,"gpt":0.2533504626643107,"spread":0.2364492451782876,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000192885,0.0002979039,0.000244535,0.000148393,0.000222609,0.000314602,0.0004386546,0.0002309234,0.001621903],"category_scores_gemma":[0.0001666863,0.0001433105,0.0002608971,0.000168559,0.0002191968,0.0002413269,0.0001746071,0.000319675,0.0003158721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508455,"about_ca_system_score_gemma":0.00038539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007766896,"about_ca_topic_score_gemma":0.001741575,"domain_scores_codex":[0.9999027,0.00001695963,0.000005810724,0.00001440263,0.00005309363,0.000007071155],"domain_scores_gemma":[0.9999464,0.00001345228,0.00001280576,0.000007171509,0.00001543835,0.000004795559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002526907,0.0002501434,0.001707908,0.0007148908,0.0000710918,0.0005041767,0.0002564515,0.3403867,0.4123383,0.01849725,0.001518562,0.2235017],"study_design_scores_gemma":[0.00008977227,0.0008973473,0.002107577,0.00003013497,0.00003845865,0.0004250374,0.0000829995,0.9017833,0.05825232,0.003722311,0.03253578,0.00003499019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1851822,0.0004067757,0.800931,0.0001375708,0.00005047175,0.000204052,0.00007233799,0.0005451139,0.01247045],"genre_scores_gemma":[0.7766944,0.0001940012,0.2151526,0.00002161206,0.00001112111,0.0001732567,0.0001067453,0.00006345061,0.007582906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001621903,"threshold_uncertainty_score":0.005425811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226054878","doi":"10.1109/tte.2022.3165465","title":"Operation of Inductive Charging Systems Under Misalignment Conditions: A Review for Electric Vehicles","year":2022,"lang":"en","type":"review","venue":"IEEE Transactions on Transportation Electrification","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Newcastle University; Ministerio de Ciencia e Innovación; Universidad de Málaga","keywords":"Flexibility (engineering); Wireless power transfer; Maximum power transfer theorem; Inductance; Inductive coupling; Compensation (psychology); Computer science; Reliability (semiconductor); Inductive charging; Power (physics); Electrical engineering; Electronic engineering; Wireless; Reliability engineering; Engineering; Voltage; Telecommunications","authors":[{"name":"Van-Binh Vu","is_ca":false},{"name":"Ali Ramezani","is_ca":true},{"name":"Alicia Triviño","is_ca":false},{"name":"José M. González‐González","is_ca":false},{"name":"Nasiru B. Kadandani","is_ca":false},{"name":"Mohamed Dahidah","is_ca":false},{"name":"Volker Pickert","is_ca":false},{"name":"Mehdi Narimani","is_ca":true},{"name":"José A. Aguado","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04854371914347132,"gpt":0.2988483413196029,"spread":0.2503046221761316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005629583,0.001232271,0.001307761,0.00216204,0.0004147817,0.001438102,0.001217324,0.001329903,0.003820086],"category_scores_gemma":[0.0009701891,0.0006212593,0.000976043,0.002483166,0.0004272749,0.002641266,0.0005967663,0.001316731,0.002009212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004722765,"about_ca_system_score_gemma":0.0007251336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009166158,"about_ca_topic_score_gemma":0.0007398796,"domain_scores_codex":[0.9995824,0.0000538829,0.00006938346,0.0001056021,0.0001545004,0.00003421036],"domain_scores_gemma":[0.9992964,0.000384503,0.00009387179,0.00002776592,0.0001768787,0.00002045664],"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":[0.0001101713,0.0001490567,0.0004632015,0.03829835,0.0001289427,0.0003841054,0.0002111845,0.002838155,0.008292878,0.01286946,0.01955277,0.9167016],"study_design_scores_gemma":[0.000008169461,0.0003012097,0.0008386631,0.003634478,0.0001909295,0.001550449,0.0001771845,0.001549227,0.003199764,0.002728065,0.9857481,0.00007369587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009066836,0.9905728,0.004160217,0.0002292644,0.0004560703,0.00002662487,0.00005189543,0.00003701817,0.003559526],"genre_scores_gemma":[0.004776249,0.9894618,0.003040532,0.0002254186,0.0003926372,0.00003196713,0.0001110094,0.00001298537,0.001947406],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003820086,"threshold_uncertainty_score":0.01277947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220702940","doi":"10.1109/tte.2022.3162164","title":"Online Estimations of Li-Ion Battery SOC and SOH Applicable to Partial Charge/Discharge","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":111,"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":"Datasheet; State of charge; Battery (electricity); State of health; Lithium-ion battery; Equivalent circuit; Voltage; Open-circuit voltage; Computer science; Engineering; Electronic engineering; Electrical engineering; Power (physics)","authors":[{"name":"Amin Bavand","is_ca":true},{"name":"S. Ali Khajehoddin","is_ca":true},{"name":"Masoud Ardakani","is_ca":true},{"name":"Ahmadreza Tabesh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01690413262746573,"gpt":0.2622043443908283,"spread":0.2453002117633626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003093094,0.0008935354,0.0006937634,0.0009396081,0.0002189714,0.0006530903,0.0006962502,0.0005154671,0.001085978],"category_scores_gemma":[0.002148737,0.0001961853,0.0003275265,0.0005721113,0.0001968399,0.0009611181,0.0005606902,0.0005210986,0.0007060718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533444,"about_ca_system_score_gemma":0.0004784242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004188592,"about_ca_topic_score_gemma":0.006151627,"domain_scores_codex":[0.9997019,0.00002670175,0.00002165589,0.00007862254,0.0001393686,0.00003174082],"domain_scores_gemma":[0.9993937,0.0001363731,0.0001030298,0.00009362129,0.0002512839,0.00002194803],"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":[0.0007273168,0.0002915131,0.03208833,0.0007638668,0.0001352083,0.0003849012,0.0002084744,0.3009408,0.04209881,0.001202026,0.01215293,0.6090057],"study_design_scores_gemma":[0.00001959348,0.0001333141,0.01561891,0.00003507864,0.00002728257,0.0002331103,0.0000791057,0.9525133,0.02609325,0.001616948,0.003595028,0.00003514448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4471654,0.003649627,0.5247031,0.0003225123,0.0002432819,0.0001983371,0.006018688,0.008304966,0.009394062],"genre_scores_gemma":[0.956986,0.0007806599,0.03431118,0.00006873886,0.00006307749,0.0001218468,0.005154041,0.0001086231,0.002405788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004188592,"threshold_uncertainty_score":0.008328438,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2242070854","doi":"10.1109/tte.2015.2502543","title":"External-Rotor <inline-formula><tex-math notation=\"LaTeX\">$6-10$</tex-math></inline-formula> Switched Reluctance Motor for an Electric Bicycle","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Switched reluctance motor; Rotor (electric); Torque ripple; Automotive engineering; Torque; Engineering; Stator; Finite element method; Torque density; Sizing; Topology (electrical circuits); Electrical engineering; Induction motor; Direct torque control; Voltage; Structural engineering","authors":[{"name":"Jianing Lin","is_ca":true},{"name":"N. Schofield","is_ca":true},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02039898729569602,"gpt":0.2455435451619493,"spread":0.2251445578662533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002087539,0.0009720349,0.0006061976,0.0005600333,0.0002787324,0.001505996,0.001383965,0.001157452,0.3388017],"category_scores_gemma":[0.001066656,0.0003984415,0.0006328521,0.0006745671,0.0005802556,0.001503433,0.0009732837,0.000917119,0.1382608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497907,"about_ca_system_score_gemma":0.0006637771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100215,"about_ca_topic_score_gemma":0.001452124,"domain_scores_codex":[0.9997926,0.00003111055,0.00001380435,0.00004557472,0.0000958446,0.00002108408],"domain_scores_gemma":[0.9996541,0.00007946877,0.00006436462,0.00007531908,0.0001036394,0.00002313251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003435348,0.0001880185,0.001119648,0.003547949,0.0001032456,0.001031115,0.0002442242,0.04150162,0.1491338,0.05071307,0.4355382,0.3165356],"study_design_scores_gemma":[0.0001347827,0.0001705824,0.001128757,0.0002329649,0.00003337175,0.0009635521,0.0001385063,0.1625901,0.05094913,0.009301838,0.7742932,0.00006313115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03182749,0.001870665,0.6245465,0.0026578,0.004005808,0.000573831,0.02229771,0.04713443,0.2650857],"genre_scores_gemma":[0.3729742,0.002586963,0.3149903,0.001214435,0.0006328654,0.0006517381,0.02598811,0.02894996,0.2520113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3388017,"threshold_uncertainty_score":0.9431191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884361312","doi":"10.1109/tte.2018.2857216","title":"A Versatile Power-Hardware-in-the-Loop-Based Emulator for Rapid Testing of Transportation Electric Drives","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emulation; Hardware-in-the-loop simulation; Computer science; Electric machine; Control engineering; Engineering; Simulation; Stator; Electrical engineering","authors":[{"name":"K. S. Amitkumar","is_ca":true},{"name":"R. Sudharshan Kaarthik","is_ca":false},{"name":"Pragasen Pillay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01444870488687411,"gpt":0.233553317351516,"spread":0.2191046124646419,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007183186,0.0005346304,0.0003660641,0.0003896076,0.000186725,0.0003448136,0.001145741,0.0003747633,0.004894589],"category_scores_gemma":[0.001893829,0.0002224257,0.0001494838,0.0001939489,0.0003041394,0.0008180442,0.0005189127,0.0004914496,0.0008330763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942598,"about_ca_system_score_gemma":0.0002697506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373599,"about_ca_topic_score_gemma":0.0002216466,"domain_scores_codex":[0.9995478,0.000133583,0.00002592069,0.00005307914,0.0002101709,0.00002933728],"domain_scores_gemma":[0.99919,0.0003269201,0.00007583015,0.0002523801,0.0001251361,0.0000295679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007902046,0.0003878328,0.00444009,0.0006504932,0.00006816665,0.0004980657,0.0003796744,0.05018777,0.6617956,0.009895315,0.006025949,0.2648809],"study_design_scores_gemma":[0.0002151335,0.001961921,0.004529291,0.00005280975,0.00003905055,0.001034929,0.00005642021,0.3685881,0.5838171,0.001831806,0.0378019,0.00007167456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07402262,0.0001197456,0.9137921,0.00008063362,0.00005721037,0.0003420003,0.0003271957,0.007596173,0.003662302],"genre_scores_gemma":[0.762844,0.00008927858,0.2320264,0.00006516753,0.00001608709,0.0005183523,0.0003414293,0.0004901071,0.003609182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004894589,"threshold_uncertainty_score":0.01637399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903268711","doi":"10.1109/tte.2018.2884610","title":"A Simplified Space Vector Pulse Width Modulation Implementation in Modular Multilevel Converters for Electric Ship Propulsion Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pulse-width modulation; Modular design; Voltage; Scalability; Converters; Computer science; Control theory (sociology); Space vector modulation; Controller (irrigation); Electronic engineering; Modulation (music); Modularity (biology); Topology (electrical circuits); Engineering; Electrical engineering; Physics; Control (management)","authors":[{"name":"Deepak Ronanki","is_ca":true},{"name":"Sheldon S. Williamson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01675236642316507,"gpt":0.2598470040396009,"spread":0.2430946376164358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001154914,0.0002240448,0.0001940528,0.0002159502,0.0001585367,0.000371652,0.0004093547,0.0002380155,0.001950833],"category_scores_gemma":[0.0002774561,0.000111195,0.0001856034,0.0003280762,0.0001083587,0.0003543071,0.0001429635,0.000329175,0.0003447824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000239427,"about_ca_system_score_gemma":0.0003171887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010652,"about_ca_topic_score_gemma":0.001727898,"domain_scores_codex":[0.9999034,0.0000256421,0.000006163607,0.000009496059,0.00004853025,0.000006677866],"domain_scores_gemma":[0.9999459,0.00001114486,0.000009105507,0.0000136285,0.0000174692,0.000002705201],"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":[0.0002574529,0.0001264566,0.0007182913,0.0003698923,0.00004115783,0.0002462656,0.0001683581,0.2215046,0.1722929,0.04416868,0.003392771,0.556713],"study_design_scores_gemma":[0.00005235482,0.0003755859,0.0007749368,0.00002783175,0.00002043547,0.0001735698,0.00002383423,0.9585831,0.02487752,0.004309199,0.01076545,0.00001604237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04305349,0.0002924017,0.9481657,0.0001419975,0.00004839228,0.00008837175,0.00007481183,0.0006300391,0.0075048],"genre_scores_gemma":[0.7440447,0.0002878757,0.2525755,0.0000381327,0.00002738858,0.0001013437,0.0001079382,0.00002244741,0.002794636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001950833,"threshold_uncertainty_score":0.006526172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2808276562","doi":"10.1109/tte.2018.2847244","title":"Joint PEV Charging Network and Distributed PV Generation Planning Based on Accelerated Generalized Benders Decomposition","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"State Grid Corporation of China; National Natural Science Foundation of China","keywords":"Renewable energy; Charging station; Photovoltaic system; Automotive engineering; Computer science; Distributed generation; Electric vehicle; Power (physics); Engineering; Reliability engineering; Electrical engineering","authors":[{"name":"Hongcai Zhang","is_ca":false},{"name":"Scott Moura","is_ca":false},{"name":"Zechun Hu","is_ca":false},{"name":"Wei Qi","is_ca":true},{"name":"Yonghua Song","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02179889686766001,"gpt":0.2423996610407788,"spread":0.2206007641731188,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008974175,0.001488871,0.001338192,0.0007181297,0.0004875856,0.001119107,0.000974833,0.0009890764,0.003298559],"category_scores_gemma":[0.00144335,0.001035955,0.00139832,0.0009488853,0.0006067727,0.00101978,0.00110012,0.001385674,0.0003288939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255892,"about_ca_system_score_gemma":0.001828294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009648185,"about_ca_topic_score_gemma":0.01028587,"domain_scores_codex":[0.9994387,0.0002116798,0.00002025056,0.0001152512,0.0001035838,0.0001105969],"domain_scores_gemma":[0.9995037,0.0002720664,0.00006895012,0.00002445966,0.00007872121,0.00005203646],"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":[0.00001288859,0.000009222154,0.0001132774,0.00001192639,0.000008379092,0.00001896293,0.000008223658,0.9933728,0.000261185,0.002908608,0.0001470464,0.003127496],"study_design_scores_gemma":[0.000004578361,0.00001225578,0.00003397458,0.000001936739,0.000003223434,0.000004442238,0.000006276699,0.9970556,0.0001085777,0.002571827,0.0001946678,0.000002567251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01394998,0.00009540519,0.982527,0.000109353,0.00002030105,0.00006528015,0.00009682059,0.0001248219,0.003011063],"genre_scores_gemma":[0.5853199,0.0003761169,0.4064649,0.0001286305,0.00004529713,0.0004578235,0.0004588752,0.0001582446,0.00659027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009648185,"threshold_uncertainty_score":0.01918405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206209083","doi":"10.1109/tte.2022.3141780","title":"Visual Detection and Deep Reinforcement Learning-Based Car Following and Energy Management for Hybrid Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":100,"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":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Reinforcement learning; Powertrain; Energy management; Computer science; Control (management); Intelligent transportation system; Deep learning; Intelligent control; Artificial intelligence; Object detection; Electric vehicle; Energy (signal processing); Engineering; Pattern recognition (psychology); Power (physics)","authors":[{"name":"Xiaolin Tang","is_ca":false},{"name":"Jiaxin Chen","is_ca":false},{"name":"Kai Yang","is_ca":false},{"name":"Mitsuru Toyoda","is_ca":false},{"name":"Teng Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003857383995043481,"gpt":0.1920341396064661,"spread":0.1881767556114226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589658,0.0003513781,0.0002372586,0.0001841277,0.0001586836,0.0002958209,0.0006474985,0.0003453919,0.0007942583],"category_scores_gemma":[0.0004141248,0.0001720368,0.0002566736,0.000136209,0.0002618081,0.0004062281,0.0004097188,0.0004489976,0.0001297853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005907639,"about_ca_system_score_gemma":0.0007372733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009920196,"about_ca_topic_score_gemma":0.007196257,"domain_scores_codex":[0.9998851,0.00001393051,0.000005333225,0.00003692521,0.0000335046,0.00002516079],"domain_scores_gemma":[0.9998953,0.00002257132,0.00001812375,0.00001299969,0.00003890917,0.00001204884],"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":[0.0001245193,0.000170134,0.001584384,0.00004947791,0.0000389522,0.00006171806,0.00005477395,0.8080705,0.02088219,0.004649455,0.001285316,0.1630285],"study_design_scores_gemma":[0.000002977284,0.00002421445,0.0001759819,9.136745e-7,0.000002944153,0.000003898759,0.000002792316,0.9978079,0.001325407,0.0004438763,0.0002068646,0.000002144374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08720237,0.0003834792,0.9067341,0.0001875034,0.00006367531,0.00003875992,0.00002692341,0.0008099045,0.004553233],"genre_scores_gemma":[0.9693537,0.00006637226,0.02861515,0.00005673553,0.000008308738,0.00002568854,0.00003696893,0.00001526587,0.001821711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009920196,"threshold_uncertainty_score":0.01972491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210346844","doi":"10.1109/tte.2022.3147976","title":"Overview of Current Thermal Management of Automotive Power Electronics for Traction Purposes and Future Directions","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Thermal management of electronic devices and systems; Electronics; Power electronics; Automotive engineering; Water cooling; Heat sink; Reliability (semiconductor); Passive cooling; Automotive industry; Traction (geology); Active cooling; Power density; Electronic component; Computer cooling; Power module; Mechanical engineering; Capacitor; Electrical engineering; Power (physics); Thermal; Engineering; Aerospace engineering; Voltage; Physics","authors":[{"name":"Samantha Jones-Jackson","is_ca":true},{"name":"Romina Rodriguez","is_ca":true},{"name":"Yuhang Yang","is_ca":true},{"name":"Luis Lopera","is_ca":true},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02182956339981318,"gpt":0.2645034760570021,"spread":0.242673912657189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007538904,0.0008688743,0.0006223132,0.002014887,0.0004030206,0.001652949,0.00105095,0.001136599,0.008442804],"category_scores_gemma":[0.0006818901,0.0005163613,0.0006293674,0.002025555,0.0003050225,0.002627794,0.0006292111,0.001151163,0.003491523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008131221,"about_ca_system_score_gemma":0.001182373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187001,"about_ca_topic_score_gemma":0.001721684,"domain_scores_codex":[0.999612,0.00005070513,0.00004390466,0.00007710065,0.0001734932,0.00004287374],"domain_scores_gemma":[0.999476,0.0001643911,0.00006981866,0.0000224453,0.0002338466,0.00003351684],"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":[0.00009305391,0.0001066134,0.0005702794,0.01244317,0.0000491834,0.0001325548,0.0001289464,0.004030759,0.01003916,0.01566092,0.0295951,0.9271502],"study_design_scores_gemma":[0.000007459229,0.0002677891,0.0009838811,0.002818478,0.00008741886,0.0005343015,0.0001397737,0.003063007,0.004499785,0.004914046,0.9826397,0.00004437576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001924306,0.9664237,0.01062416,0.001040332,0.0008359013,0.00005721656,0.0001135123,0.0001594537,0.01882137],"genre_scores_gemma":[0.01394986,0.9646555,0.008472492,0.0005869056,0.001056519,0.00008766774,0.0003354241,0.00005444463,0.01080136],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008442804,"threshold_uncertainty_score":0.02824396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3026443319","doi":"10.1109/tte.2020.2996363","title":"Solar-Charged Electric Vehicles: A Comprehensive Analysis of Grid, Driver, and Environmental Benefits","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Automotive engineering; Range (aeronautics); Grid; Solar power; Solar energy; Electric vehicle; Environmental science; Computer science; Simulation; Aerospace engineering; Engineering; Electrical engineering; Power (physics); Physics","authors":[{"name":"Muhammad Hosnee Mobarak","is_ca":true},{"name":"R. N. Kleiman","is_ca":true},{"name":"Jennifer Bauman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008535262407195682,"gpt":0.1849684111032233,"spread":0.1764331486960277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001596267,0.0003496115,0.0002876727,0.000254272,0.000179323,0.0005142057,0.0003305363,0.0003058708,0.001636488],"category_scores_gemma":[0.0002710352,0.0001628145,0.0004176951,0.0003579347,0.0001430633,0.0004895756,0.0002262099,0.0001999959,0.0001469272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009484717,"about_ca_system_score_gemma":0.0006393903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03817187,"about_ca_topic_score_gemma":0.06626322,"domain_scores_codex":[0.9999338,0.00001621409,0.000001563957,0.000009808003,0.00002241681,0.00001623343],"domain_scores_gemma":[0.9999211,0.00002775719,0.000009134217,0.000006664623,0.00002484446,0.00001054823],"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":[0.0001213483,0.0001206265,0.02028029,0.00005087537,0.0001108175,0.0002138827,0.00003783344,0.9609863,0.002110527,0.003216028,0.001343346,0.01140819],"study_design_scores_gemma":[0.00002670956,0.0002562359,0.03416762,0.00001883149,0.00009594352,0.0000720668,0.0002757102,0.9567391,0.00199801,0.001889833,0.004437742,0.00002222795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977086,0.0003101248,0.004020082,0.0002096883,0.00001187555,0.00004035949,0.0008837759,0.0000441615,0.01739392],"genre_scores_gemma":[0.996221,0.0002020225,0.0007033196,0.00002222371,0.000004030398,0.0000126122,0.0003474742,0.000008781264,0.002478593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03817187,"threshold_uncertainty_score":0.07589942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3089572627","doi":"10.1109/tte.2020.3026962","title":"A Reduced-Order Electrochemical Model for All-Solid-State Batteries","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Natural Science Foundation of Chongqing; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Battery (electricity); Voltage; Laplace transform; Reduction (mathematics); Applied mathematics; Electrochemistry; Series (stratigraphy); Electrolyte; Computer science; Materials science; Mathematics; Electrode; Thermodynamics; Electrical engineering; Mathematical analysis; Chemistry; Physics; Engineering","authors":[{"name":"Zhongwei Deng","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Le Xu","is_ca":false},{"name":"Jiacheng Li","is_ca":false},{"name":"Wenchao Guo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02730132868407831,"gpt":0.2822742215594455,"spread":0.2549728928753672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002575269,0.0008045607,0.001001619,0.0005026907,0.0005058362,0.001002216,0.001915769,0.001435261,0.003410722],"category_scores_gemma":[0.0006177821,0.0003956082,0.001431675,0.0006137371,0.0003887276,0.001418602,0.0006862427,0.001246395,0.001332653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007195213,"about_ca_system_score_gemma":0.0009540883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006025249,"about_ca_topic_score_gemma":0.004033127,"domain_scores_codex":[0.9997956,0.00003020712,0.00001488432,0.0000391512,0.0001002018,0.00001985455],"domain_scores_gemma":[0.9998407,0.0000516145,0.00001628662,0.00002557558,0.00005735713,0.00000837272],"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":[0.00004397731,0.00005329361,0.00037913,0.0002395921,0.00002998109,0.0002307197,0.0001189953,0.9421629,0.01428029,0.02569237,0.001514716,0.01525415],"study_design_scores_gemma":[0.000003880839,0.000008049427,0.00003497796,0.000003389493,0.000004121939,0.00001861553,0.000005035329,0.9962632,0.0006799365,0.001702381,0.001271614,0.000004842799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02214844,0.001507638,0.9490552,0.0004660124,0.0001970398,0.0001452822,0.0006856562,0.0008848751,0.02490995],"genre_scores_gemma":[0.8282385,0.004048677,0.1200474,0.0004323156,0.0001674716,0.000975339,0.001457152,0.0003088307,0.04432421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006025249,"threshold_uncertainty_score":0.01198035,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3006970678","doi":"10.1109/tte.2020.2977092","title":"Optimal Multistage Charging of NCA/Graphite Lithium-Ion Batteries Based on Electrothermal-Aging Dynamics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":95,"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":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Battery (electricity); Constant current; Fade; Trickle charging; Lithium-ion battery; Automotive engineering; Particle swarm optimization; Computer science; Voltage; Degradation (telecommunications); Electronics; Electrical engineering; Engineering; Power (physics); Physics","authors":[{"name":"Yusheng Zheng","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Yi Xie","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01210712615725807,"gpt":0.2379358890474106,"spread":0.2258287628901525,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002079563,0.0003395595,0.0004308357,0.0002398057,0.0002921868,0.000558588,0.0004837059,0.0004235828,0.0008380956],"category_scores_gemma":[0.0003378454,0.0002317538,0.00027655,0.0002752012,0.0002995926,0.0004088723,0.0003510395,0.0002370234,0.0001256787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005240781,"about_ca_system_score_gemma":0.0005749168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550707,"about_ca_topic_score_gemma":0.00326434,"domain_scores_codex":[0.9999125,0.00001054093,0.000005204183,0.00001521116,0.00003806171,0.00001847802],"domain_scores_gemma":[0.9999088,0.00002950511,0.00001720787,0.000008071782,0.00002451405,0.00001194632],"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":[0.0003716126,0.0001322335,0.001131966,0.0001859188,0.00002949411,0.0002409057,0.00008237291,0.8648059,0.08497178,0.005170575,0.0005600603,0.04231707],"study_design_scores_gemma":[0.000009855297,0.00006477624,0.0002545812,0.000003394764,0.000006066667,0.00001603485,0.00001245588,0.9915216,0.007157889,0.0006245731,0.0003225414,0.000006173308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6359936,0.001130503,0.3449265,0.0003028414,0.0001242768,0.0001624128,0.00008906526,0.0002717848,0.01699909],"genre_scores_gemma":[0.9901837,0.0001312851,0.008421373,0.00001602191,0.000004061142,0.0000290298,0.00001775418,0.000005919242,0.001191048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002550707,"threshold_uncertainty_score":0.005071759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1502203166","doi":"10.1109/tte.2015.2426508","title":"Design and Development of a Smart Control Strategy for Plug-In Hybrid Vehicles Including Vehicle-to-Home Functionality","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; State of charge; Controller (irrigation); Engineering; Internal combustion engine; Electrification; Energy consumption; Fuzzy logic; Plug-in; Control engineering; Computer science; Electricity; Electrical engineering; Power (physics); Battery (electricity); Operating system","authors":[{"name":"Florence Berthold","is_ca":true},{"name":"Alexandre Ravey","is_ca":false},{"name":"Benjamin Blunier","is_ca":false},{"name":"David Bouquain","is_ca":false},{"name":"Sheldon S. Williamson","is_ca":true},{"name":"Abdellatif Miraoui","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0386601042834554,"gpt":0.2472817390577809,"spread":0.2086216347743255,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002275132,0.0004828946,0.0003464007,0.00024075,0.000301876,0.0006759404,0.0007129635,0.0005005164,0.00174746],"category_scores_gemma":[0.0002362989,0.0001730971,0.0003382223,0.0001146434,0.0002404211,0.0003152358,0.0003122149,0.0004580338,0.0003699508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178038,"about_ca_system_score_gemma":0.0005836664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278015,"about_ca_topic_score_gemma":0.002119616,"domain_scores_codex":[0.9998496,0.00001412209,0.00001054479,0.00004599621,0.00006177165,0.00001809067],"domain_scores_gemma":[0.9998859,0.00001715118,0.00001556484,0.000008617297,0.00006397249,0.00000871806],"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":[0.0001926022,0.0002838909,0.001153849,0.0006684291,0.0001454701,0.0005839869,0.0003411061,0.3959102,0.2156212,0.03559526,0.003530918,0.3459732],"study_design_scores_gemma":[0.00004790392,0.0003986562,0.000600192,0.00003220497,0.00004140922,0.0001350792,0.00004835151,0.9650898,0.02205347,0.002358515,0.009174373,0.00002007276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01008033,0.000226963,0.9817593,0.0001006527,0.00009761854,0.0001638815,0.00002460472,0.0003822414,0.007164444],"genre_scores_gemma":[0.8574871,0.0003487736,0.1352698,0.0001287486,0.00005432283,0.0004062945,0.00007123109,0.00003438615,0.006199397],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002278015,"threshold_uncertainty_score":0.005845845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2591416685","doi":"10.1109/tte.2017.2673847","title":"Magnetic Characterization of Unsymmetrical Coil Pairs Using Archimedean Spirals for Wider Misalignment Tolerance in IPT Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":92,"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":"","keywords":"Electromagnetic coil; RADIUS; Wireless power transfer; Spiral (railway); Null (SQL); Inductive coupling; Coupling (piping); Coil tap; Coil noise; Power (physics); Maximum power transfer theorem; Electrical engineering; Coupling coefficient of resonators; Position (finance); Physics; Materials science; Optics; Engineering; Mechanical engineering; Computer science; Composite material","authors":[{"name":"Kunwar Aditya","is_ca":true},{"name":"Vijay K. Sood","is_ca":true},{"name":"Sheldon S. Williamson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0239479421759241,"gpt":0.2470660212155386,"spread":0.2231180790396145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005317106,0.0003224359,0.0002995869,0.0003918828,0.0001794487,0.0003614813,0.0003112369,0.0002937515,0.0004908574],"category_scores_gemma":[0.001773215,0.000163905,0.0001517302,0.0003614362,0.0003500701,0.0003362534,0.0001999004,0.0001810493,0.0001925496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267349,"about_ca_system_score_gemma":0.0001840638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002417806,"about_ca_topic_score_gemma":0.0003792999,"domain_scores_codex":[0.9996758,0.00007806924,0.00002994057,0.00005682366,0.0001177571,0.00004177709],"domain_scores_gemma":[0.9988213,0.0002877177,0.0003033365,0.0001622914,0.0003657674,0.00005943106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005730794,0.00006304996,0.003563651,0.0003171565,0.00002359517,0.0003834912,0.0006228061,0.01394835,0.9419375,0.001377475,0.0005319777,0.03665784],"study_design_scores_gemma":[0.0000352261,0.002430053,0.009558684,0.00003915906,0.00006005286,0.0006766705,0.0003533696,0.05849975,0.9207426,0.0005912682,0.006958937,0.00005423053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522063,0.0005427279,0.04435639,0.00009981699,0.00006477079,0.00004551556,0.00007161492,0.0001914666,0.002421472],"genre_scores_gemma":[0.9907961,0.00009814985,0.008615682,0.00001260521,0.000004336695,0.00001422223,0.00003214938,0.00001219297,0.0004146128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005317106,"threshold_uncertainty_score":0.002811968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2765643328","doi":"10.1109/tte.2017.2765518","title":"Evolution of Power Converter Topologies and Technical Considerations of Power Electronic Transformer-Based Rolling Stock Architectures","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":90,"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":"","keywords":"Power electronics; Traction power network; Transformer; Electrical engineering; Traction substation; Electronics; Engineering; Traction (geology); Computer science; Network topology; Automotive engineering; Power (physics); Mechanical engineering; Voltage","authors":[{"name":"Deepak Ronanki","is_ca":true},{"name":"Sheldon S. Williamson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01196072617172558,"gpt":0.2385605233766789,"spread":0.2265997972049533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003664954,0.0003893371,0.0002701387,0.0006410699,0.0002324819,0.001364074,0.0008994014,0.0005135723,0.002872401],"category_scores_gemma":[0.0004782172,0.0002668292,0.0002471242,0.0008087337,0.000283731,0.002049183,0.0002875403,0.0009122876,0.001103515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005058352,"about_ca_system_score_gemma":0.0002631304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003062203,"about_ca_topic_score_gemma":0.0004518957,"domain_scores_codex":[0.9997553,0.00003607472,0.00001953627,0.0000484935,0.0001177314,0.00002283974],"domain_scores_gemma":[0.9998052,0.00003533504,0.00001579957,0.00003289209,0.00009875577,0.00001198023],"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":[0.0001949274,0.0001652845,0.001283393,0.0009584317,0.00005553612,0.0006216961,0.0003689882,0.03976116,0.1215138,0.3139381,0.005128176,0.5160104],"study_design_scores_gemma":[0.00007955178,0.0009893955,0.00334898,0.0004693781,0.0001407111,0.006532116,0.0004888838,0.3087032,0.1212543,0.1322469,0.4256436,0.0001030502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1111356,0.02768877,0.6798317,0.00147355,0.0005200421,0.0002120807,0.0002033777,0.0007880621,0.1781467],"genre_scores_gemma":[0.8096297,0.02023632,0.1399674,0.0002566909,0.0004152474,0.0001099138,0.0004206414,0.0001507364,0.02881341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002872401,"threshold_uncertainty_score":0.009609163,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2941557329","doi":"10.1109/tte.2019.2913270","title":"Current Injection-Based Multi-parameter Estimation for Dual Three-Phase IPMSM Considering VSI Nonlinearity","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; University of Windsor","funders":"","keywords":"Control theory (sociology); Nonlinear system; Inverter; Inductance; Dual (grammatical number); Flux linkage; Rotor (electric); Computer science; Three-phase; Magnet; Estimation theory; Saturation (graph theory); Engineering; Mathematics; Induction motor; Algorithm; Voltage; Physics; Direct torque control; Artificial intelligence","authors":[{"name":"Ze Li","is_ca":true},{"name":"Guodong Feng","is_ca":true},{"name":"Chunyan Lai","is_ca":true},{"name":"Debmalya Banerjee","is_ca":true},{"name":"Wenlong Li","is_ca":true},{"name":"Narayan C. Kar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02375994623079503,"gpt":0.2781751617124603,"spread":0.2544152154816652,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000398495,0.0006780851,0.0006609071,0.0004546044,0.000258222,0.0004253705,0.0005287192,0.0004276406,0.0005975942],"category_scores_gemma":[0.00110452,0.0003615326,0.0004051331,0.0003368422,0.0003065416,0.0008997104,0.0004288201,0.0006963249,0.0002816461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003306895,"about_ca_system_score_gemma":0.0004408972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165984,"about_ca_topic_score_gemma":0.001114373,"domain_scores_codex":[0.9997167,0.00005274701,0.0000239872,0.00006568642,0.0001250924,0.00001580053],"domain_scores_gemma":[0.9995798,0.0001414861,0.00009196483,0.00004674662,0.0001267825,0.00001319673],"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":[0.0002592691,0.0001360348,0.003179337,0.0004423398,0.00009832069,0.0001725129,0.0003657358,0.4018031,0.1188774,0.006232368,0.0009916306,0.467442],"study_design_scores_gemma":[0.000007697749,0.00004519747,0.0003161833,0.00000575686,0.000007919934,0.00003549793,0.000008340526,0.9915723,0.006992091,0.0004652309,0.0005357439,0.000008168769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009612451,0.0001025632,0.9894029,0.00003532308,0.00001277041,0.00001460391,0.000007272804,0.0003335796,0.0004785128],"genre_scores_gemma":[0.7848076,0.0001966358,0.2135454,0.00004564702,0.00002428627,0.00007695192,0.00006701582,0.00006688913,0.001169438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001165984,"threshold_uncertainty_score":0.002399325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2397845925","doi":"10.1109/tte.2016.2571778","title":"On the Suitability of Electrochemical-Based Modeling for Lithium-Ion Batteries","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); State of charge; Electrochemistry; Lithium (medication); Electrolyte; Lithium-ion battery; Computer science; State of health; Ion; Phase (matter); Power (physics); Materials science; Algorithm; Chemistry; Electrode; Physics","authors":[{"name":"Ran Gu","is_ca":true},{"name":"Pawel Malysz","is_ca":true},{"name":"Yang Hong","is_ca":true},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02176611611859773,"gpt":0.2558000027617841,"spread":0.2340338866431864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003524331,0.0004597549,0.0003716543,0.000301702,0.0002404514,0.0007009058,0.0008185769,0.0006671895,0.001060646],"category_scores_gemma":[0.001599625,0.0001627778,0.000493063,0.0003831387,0.0003039038,0.001001679,0.0004066233,0.0006087985,0.0004109124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215166,"about_ca_system_score_gemma":0.0004291858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003692076,"about_ca_topic_score_gemma":0.002230102,"domain_scores_codex":[0.9998401,0.00005388333,0.00001012218,0.0000187388,0.00006770251,0.000009333849],"domain_scores_gemma":[0.9996976,0.0001644274,0.0000176101,0.00004111296,0.00007324007,0.000005973341],"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":[0.00003488881,0.00003685266,0.0008018661,0.0001184825,0.00001793856,0.00006908504,0.00004535757,0.9358464,0.00903359,0.02408066,0.0005750011,0.02933987],"study_design_scores_gemma":[0.000001341591,0.000008988126,0.0001196231,0.000006834924,0.000002578073,0.00001102773,0.000004076364,0.9951119,0.0010276,0.002829903,0.0008728431,0.00000337285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04445796,0.001609249,0.9411268,0.0005449184,0.00009221537,0.0000636554,0.0002664706,0.000527303,0.01131154],"genre_scores_gemma":[0.8906265,0.003903141,0.09800493,0.0001562089,0.00009631593,0.0001798583,0.0003870274,0.0001341881,0.006511858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003692076,"threshold_uncertainty_score":0.007341206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2891742881","doi":"10.1109/tte.2018.2870819","title":"A Cognitive Advanced Driver Assistance Systems Architecture for Autonomous-Capable Electrified Vehicles","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Eurostars; Canada Research Chairs","keywords":"Architecture; Cognitive architecture; Acceleration; Computer science; Advanced driver assistance systems; Control (management); Energy management; Battery (electricity); Energy (signal processing); Automotive engineering; Cognition; Simulation; Engineering; Artificial intelligence; Power (physics)","authors":[{"name":"Kavya P. Divakarla","is_ca":true},{"name":"Ali Emadi","is_ca":true},{"name":"Saiedeh Razavi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008988577682531607,"gpt":0.2257820151622249,"spread":0.2167934374796933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001869347,0.0002738172,0.0001631038,0.000237994,0.000401222,0.0008474975,0.0009771228,0.0004452636,0.002758214],"category_scores_gemma":[0.0002512333,0.0001255674,0.0003930997,0.00010793,0.0003442101,0.0005138002,0.0006739962,0.0005265637,0.0005355245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007432324,"about_ca_system_score_gemma":0.001169687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008715507,"about_ca_topic_score_gemma":0.008510462,"domain_scores_codex":[0.9999014,0.00001771314,0.000006312926,0.00001922989,0.00003246795,0.00002288645],"domain_scores_gemma":[0.9998779,0.00001510903,0.00001117967,0.00001374699,0.00006456299,0.00001734762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004017041,0.000219699,0.003912332,0.0003028038,0.000144516,0.0006940372,0.0008963005,0.6406898,0.08605987,0.1027707,0.005975377,0.1579329],"study_design_scores_gemma":[0.00003369059,0.0002394391,0.001179719,0.00003573907,0.00006541677,0.0001905145,0.0001450847,0.9435176,0.01135744,0.01602423,0.02717604,0.00003512625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1026466,0.0002737632,0.8616759,0.0004359921,0.00007962513,0.0001870583,0.000134803,0.002010524,0.0325557],"genre_scores_gemma":[0.8651029,0.0002073841,0.1241558,0.000104934,0.0000205323,0.0001399777,0.0001526081,0.00003395949,0.01008191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008715507,"threshold_uncertainty_score":0.01732957,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312744427","doi":"10.1109/tte.2022.3212024","title":"A Novel Hybrid Physics-Based and Data-Driven Approach for Degradation Trajectory Prediction in Li-Ion Batteries","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":85,"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":"Science Fund for Distinguished Young Scholars of Chongqing; National Natural Science Foundation of China","keywords":"Trajectory; Ion; Degradation (telecommunications); Computer science; Materials science; Physics; Quantum mechanics","authors":[{"name":"Le Xu","is_ca":false},{"name":"Zhongwei Deng","is_ca":false},{"name":"Yi Xie","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Xiaosong Hu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03707162791321735,"gpt":0.2649988810943184,"spread":0.227927253181101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002886293,0.0006587665,0.0005679898,0.0005542503,0.0002555036,0.0004748736,0.001212036,0.0006050466,0.0006157221],"category_scores_gemma":[0.000758485,0.0003866037,0.0005823566,0.0004698181,0.0002411944,0.0009776694,0.0006273889,0.0006305333,0.0001886012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004021688,"about_ca_system_score_gemma":0.0008446238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007403925,"about_ca_topic_score_gemma":0.006493106,"domain_scores_codex":[0.9998893,0.00001247541,0.00000768455,0.00003484686,0.00004139781,0.00001446239],"domain_scores_gemma":[0.9997994,0.00006033538,0.00002691698,0.00001925399,0.00007684963,0.00001718883],"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":[0.0001058396,0.0001258157,0.002672518,0.0001243604,0.00006773906,0.0001589874,0.00009340105,0.8436667,0.01440869,0.001996814,0.001263717,0.1353154],"study_design_scores_gemma":[0.000001394292,0.000007301611,0.0001116987,0.000001203137,0.000002221811,0.000006747029,0.000002194625,0.9988525,0.0006005183,0.0003126664,0.00009893585,0.00000255271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05261055,0.0006003484,0.9436584,0.0001893194,0.00005606244,0.00004813593,0.000145138,0.001242855,0.001449217],"genre_scores_gemma":[0.8670506,0.0003989314,0.1289366,0.0001551935,0.0000677658,0.0001699429,0.0004754075,0.00008286703,0.00266257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007403925,"threshold_uncertainty_score":0.01472163,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3196143163","doi":"10.1109/tte.2021.3107143","title":"Battery Health-Aware and Deep Reinforcement Learning-Based Energy Management for Naturalistic Data-Driven Driving Scenarios","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":79,"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":"State Key Laboratory of Mechanical System and Vibration; National Natural Science Foundation of China","keywords":"Reinforcement learning; Battery (electricity); Computer science; Convergence (economics); Fuel efficiency; State of charge; Energy management; Stability (learning theory); Power (physics); Automotive engineering; Energy (signal processing); Artificial intelligence; Engineering; Machine learning","authors":[{"name":"Xiaolin Tang","is_ca":false},{"name":"Jieming Zhang","is_ca":false},{"name":"Dawei Pi","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Lech M. Grzesiak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0203178619335315,"gpt":0.272136123870601,"spread":0.2518182619370695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003117381,0.0005470362,0.0004171412,0.0001798446,0.0002077763,0.0003463466,0.000860872,0.000434042,0.0007798033],"category_scores_gemma":[0.0006774112,0.0002125835,0.0002436579,0.0001459413,0.0003335277,0.0005533253,0.0005151147,0.000615851,0.0001223212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00051826,"about_ca_system_score_gemma":0.0007682029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007003238,"about_ca_topic_score_gemma":0.00922112,"domain_scores_codex":[0.9998902,0.00001741623,0.000005206713,0.00003635778,0.00002368139,0.00002700598],"domain_scores_gemma":[0.9998233,0.00005945783,0.00002456452,0.00001300517,0.00005984964,0.00001992815],"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":[0.00004706772,0.0000708427,0.001236433,0.00003845279,0.00002297203,0.00006111834,0.00003386774,0.9459807,0.003061076,0.001976494,0.0006993163,0.04677168],"study_design_scores_gemma":[0.000002362982,0.00001163744,0.00008602347,0.000001197254,0.0000023753,0.000004880766,0.000002899026,0.9989335,0.0003070298,0.0005264744,0.0001201806,0.000001397426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07472749,0.0004196324,0.9201656,0.0002446563,0.00006222589,0.00004555027,0.00007542456,0.0005806928,0.0036787],"genre_scores_gemma":[0.9784484,0.00007869973,0.02003626,0.00006315504,0.00001158433,0.00003502279,0.00006212009,0.00001921845,0.001245573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007003238,"threshold_uncertainty_score":0.01392496,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3119964128","doi":"10.1109/tte.2021.3050987","title":"Sensitivity Analysis and Joint Estimation of Parameters and States for All-Solid-State Batteries","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":78,"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":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Sensitivity (control systems); Battery (electricity); Discretization; State of charge; Control theory (sociology); Kalman filter; State-space representation; Lithium (medication); Joint (building); Voltage; Lithium-ion battery; Nonlinear system; Mathematics; Computer science; Algorithm; Engineering; Statistics; Physics; Electronic engineering; Power (physics); Thermodynamics; Mathematical analysis; Electrical engineering","authors":[{"name":"Zhongwei Deng","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Youngki Kim","is_ca":false},{"name":"Jiacheng Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01708687436962443,"gpt":0.2707984040236433,"spread":0.2537115296540189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002044473,0.0009971173,0.0008395987,0.0008058655,0.0004236182,0.0009225111,0.00055138,0.000757004,0.0005990341],"category_scores_gemma":[0.008247592,0.0005002515,0.001269303,0.0004417792,0.0007357642,0.001223573,0.001125963,0.0008951541,0.00007872024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008797869,"about_ca_system_score_gemma":0.0007151128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008393961,"about_ca_topic_score_gemma":0.002685476,"domain_scores_codex":[0.9989862,0.000305809,0.00006268837,0.0001964924,0.0003530507,0.00009570822],"domain_scores_gemma":[0.9968086,0.002370415,0.0002456264,0.0002001394,0.0003439115,0.00003137838],"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":[0.00004617365,0.00001344341,0.001545629,0.00005768052,0.00005687683,0.00007225311,0.00005523564,0.9862204,0.002383973,0.002040781,0.00009995703,0.007407721],"study_design_scores_gemma":[0.000002499873,0.000015978,0.0006618605,0.000005685049,0.00001371001,0.00001791611,0.00001474971,0.9954008,0.001641391,0.002079654,0.000132342,0.00001329378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1194421,0.0005423944,0.877193,0.0002143196,0.0000335528,0.00005397172,0.000111558,0.0003486272,0.002060387],"genre_scores_gemma":[0.9890436,0.0002017937,0.01006903,0.00003221357,0.000008899387,0.00004669505,0.00008962897,0.0000309391,0.000477278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008393961,"threshold_uncertainty_score":0.01669025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023365787","doi":"10.1109/tte.2020.2991079","title":"Ensemble Reinforcement Learning-Based Supervisory Control of Hybrid Electric Vehicle for Fuel Economy Improvement","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":78,"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":"Reinforcement learning; Computer science; Ensemble learning; Process (computing); Fuel efficiency; Minification; Artificial intelligence; Action (physics); Electric vehicle; State (computer science); Control (management); Engineering; Algorithm; Power (physics); Automotive engineering","authors":[{"name":"Bin Xu","is_ca":false},{"name":"Xiaolin Tang","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Huayi Li","is_ca":false},{"name":"Dhruvang Rathod","is_ca":false},{"name":"Zoran Filipi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009735334271715487,"gpt":0.1892589650006892,"spread":0.1795236307289737,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005804116,0.0005550317,0.0006282955,0.0002222078,0.0003057465,0.0004425448,0.0006067725,0.0003484094,0.0007920869],"category_scores_gemma":[0.0007833898,0.0002132947,0.0003404123,0.0001667022,0.0002944194,0.0004387517,0.0005408739,0.000549743,0.0001106973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567638,"about_ca_system_score_gemma":0.000429747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005017126,"about_ca_topic_score_gemma":0.003519169,"domain_scores_codex":[0.9997668,0.00005262133,0.00001225916,0.0000580616,0.000069532,0.0000407951],"domain_scores_gemma":[0.9997074,0.00009973712,0.00005775233,0.00002026752,0.00009340966,0.00002128999],"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":[0.00006923012,0.00004001558,0.000722882,0.00003232908,0.00004344375,0.00005272932,0.00003260471,0.9557067,0.003406963,0.00165598,0.0004239539,0.03781322],"study_design_scores_gemma":[0.00000482626,0.00002773964,0.0001099471,0.000001494307,0.000005018804,0.000005040365,0.00000222176,0.9989623,0.0003635124,0.0003747246,0.0001412059,0.000001987577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1015596,0.0005315036,0.8920907,0.0001757845,0.00009489356,0.00003504067,0.00003000974,0.0004543884,0.005028095],"genre_scores_gemma":[0.9906722,0.00006971704,0.008480118,0.00002346791,0.00001198964,0.00002297332,0.00001852736,0.000007895746,0.0006931169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005017126,"threshold_uncertainty_score":0.009975851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135288554","doi":"10.1109/tte.2021.3063072","title":"Optimal Energy Management of Hybrid Storage Systems Using an Alternative Approach of Pontryagin’s Minimum Principle","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fonds de recherche du Québec – Nature et technologies; Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Pontryagin's minimum principle; Mathematics; Mathematical optimization; Optimal control","authors":[{"name":"Bảo‐Huy Nguyễn","is_ca":true},{"name":"Thanh Vo–Duy","is_ca":false},{"name":"Minh C. Ta","is_ca":true},{"name":"João Pedro F. Trovão","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02541942192313025,"gpt":0.2702008020869708,"spread":0.2447813801638406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006804026,0.0008560018,0.0008867115,0.0004197407,0.0003697283,0.001113136,0.0007103687,0.0008345275,0.001938065],"category_scores_gemma":[0.001045775,0.0004323002,0.0009083014,0.0005040072,0.0009420934,0.001069776,0.0008997516,0.001098551,0.0002132199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000677816,"about_ca_system_score_gemma":0.0009178905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001481724,"about_ca_topic_score_gemma":0.001157379,"domain_scores_codex":[0.9997086,0.0001102672,0.0000136448,0.00004605679,0.00009160324,0.00002984875],"domain_scores_gemma":[0.9997943,0.0001270371,0.00002168044,0.00001375733,0.00003470291,0.000008589327],"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":[0.00003158146,0.00002914371,0.0001327036,0.0001595024,0.00004101645,0.00006540355,0.00005404876,0.8965383,0.002820658,0.08013736,0.0007618473,0.01922845],"study_design_scores_gemma":[0.000006470113,0.00002509673,0.00004084662,0.000006080759,0.00000430878,0.00001086674,0.000006194638,0.9804682,0.0003297076,0.01837127,0.0007258706,0.000005143658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006368503,0.0005158125,0.9849176,0.0002416747,0.00004251042,0.00003972123,0.00002945305,0.00005560412,0.007789154],"genre_scores_gemma":[0.7864438,0.001597888,0.2036138,0.0002001375,0.0001293769,0.0004979838,0.0001131007,0.0001336068,0.00727019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001938065,"threshold_uncertainty_score":0.006483495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2465634162","doi":"10.1109/tte.2016.2582559","title":"A Review of Optimal Conditions for Achieving Maximum Power Output and Maximum Efficiency for a Series–Series Resonant Inductive Link","year":2016,"lang":"en","type":"review","venue":"IEEE Transactions on Transportation Electrification","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maximum power transfer theorem; Inductance; Series (stratigraphy); Maximum power principle; Power (physics); Voltage; Control theory (sociology); Link (geometry); Current source; Mathematics; Computer science; Physics; Electrical engineering; Engineering","authors":[{"name":"Kunwar Aditya","is_ca":true},{"name":"Sheldon S. Williamson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02639660822651192,"gpt":0.2775209675036501,"spread":0.2511243592771382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009172007,0.001475938,0.001821198,0.002722441,0.0005220942,0.001190235,0.001461472,0.001218939,0.003944365],"category_scores_gemma":[0.001253685,0.001016934,0.000876638,0.002908388,0.000842239,0.002203505,0.0008536385,0.001082725,0.002456702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000811485,"about_ca_system_score_gemma":0.0008242402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006191328,"about_ca_topic_score_gemma":0.0007928968,"domain_scores_codex":[0.9994072,0.00006897555,0.0001041701,0.0001537202,0.0002195715,0.00004638672],"domain_scores_gemma":[0.9993436,0.0003532186,0.0001103675,0.00002730878,0.0001478787,0.00001768888],"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":[0.0001316639,0.0001877974,0.0003486552,0.05567836,0.0001541985,0.0004921155,0.0001656775,0.007666972,0.02343612,0.0419848,0.01175163,0.8580021],"study_design_scores_gemma":[0.00002972233,0.0005504865,0.001152377,0.005758031,0.000300024,0.002695435,0.0001982087,0.003251899,0.02913424,0.01261039,0.944155,0.0001641474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001686231,0.9759852,0.01234728,0.0002133032,0.0001946871,0.00003605308,0.00007890166,0.00004427092,0.009414056],"genre_scores_gemma":[0.01344166,0.9722579,0.01090858,0.0001818205,0.0002778769,0.00008606631,0.0001383221,0.00003635647,0.002671463],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003944365,"threshold_uncertainty_score":0.01319522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3012344304","doi":"10.1109/tte.2020.2980153","title":"An Enhanced Online Temperature Estimation for Lithium-Ion Batteries","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":68,"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":"Chongqing Basic and Frontier Research Project; National Key Research and Development Program of China; Natural Science Foundation of Chongqing; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Robustness (evolution); Extended Kalman filter; Kalman filter; Temperature measurement; Estimation theory; Materials science; Control theory (sociology); Computer science; Algorithm; Mathematics; Thermodynamics; Statistics; Chemistry; Physics","authors":[{"name":"Yi Xie","is_ca":false},{"name":"Wei Li","is_ca":false},{"name":"Xianke Lin","is_ca":true},{"name":"Yangjun Zhang","is_ca":false},{"name":"Dan Dan","is_ca":false},{"name":"Fei Feng","is_ca":false},{"name":"Bo Liu","is_ca":false},{"name":"Kexin Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01766365369246063,"gpt":0.277459350317999,"spread":0.2597956966255384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003295681,0.000622893,0.0006904747,0.0003389542,0.0002672317,0.0005398906,0.0008004089,0.0005033617,0.0009990609],"category_scores_gemma":[0.0009944129,0.0003520247,0.0005424093,0.0002812591,0.0002193318,0.001206073,0.0006364222,0.0005258913,0.0004567326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004426033,"about_ca_system_score_gemma":0.0004791446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004081852,"about_ca_topic_score_gemma":0.003126333,"domain_scores_codex":[0.9997293,0.00004349553,0.00001549187,0.00007730408,0.0001158517,0.00001849119],"domain_scores_gemma":[0.9997727,0.00006794489,0.00003594622,0.00003048227,0.00008393652,0.000008957591],"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":[0.0001701982,0.0000656349,0.002153511,0.0002283785,0.0000708693,0.0001256889,0.0001539799,0.6242843,0.05707424,0.004737507,0.001472755,0.309463],"study_design_scores_gemma":[0.000003609384,0.00001713217,0.0001909853,0.000004130967,0.000006373587,0.00002259245,0.000003999627,0.9939724,0.00454567,0.0004250732,0.0007984925,0.000009537387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007234124,0.0001644958,0.991522,0.00002869543,0.00002371275,0.000008528101,0.00001871109,0.0004745992,0.000525227],"genre_scores_gemma":[0.7479529,0.0005302351,0.2470136,0.00008406668,0.00005270838,0.00008248803,0.0001866793,0.0001485595,0.003948737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004081852,"threshold_uncertainty_score":0.008116186,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205997753","doi":"10.1109/tte.2021.3138330","title":"Real-Time Optimal Energy Management of Multimode Hybrid Electric Powertrain With Online Trainable Asynchronous Advantage Actor–Critic Algorithm","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Powertrain; Asynchronous communication; Driving cycle; Computer science; Reinforcement learning; Energy management; Process (computing); Markov chain; Markov decision process; Energy (signal processing); Markov process; Artificial intelligence; Electric vehicle; Machine learning; Power (physics); Telecommunications; Mathematics","authors":[{"name":"Atriya Biswas","is_ca":true},{"name":"Pier Giuseppe Anselma","is_ca":false},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004843406831902553,"gpt":0.2047235057737102,"spread":0.1998800989418076,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008470663,0.0009499282,0.0009293606,0.0002874323,0.0003115477,0.0008304968,0.001032027,0.0008931669,0.002005504],"category_scores_gemma":[0.001581791,0.0005167387,0.0004153079,0.0002456031,0.0005414681,0.0005199676,0.0008558171,0.001154882,0.0002568433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006658784,"about_ca_system_score_gemma":0.001321551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01049594,"about_ca_topic_score_gemma":0.009975896,"domain_scores_codex":[0.9997633,0.00005345231,0.00001245523,0.00006715216,0.00005469991,0.00004887833],"domain_scores_gemma":[0.999509,0.0002417198,0.00006300337,0.00002553466,0.0001165518,0.00004419304],"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":[0.00003768249,0.0000200956,0.0004036026,0.00002539936,0.00001731127,0.00004473386,0.00001840708,0.9850641,0.0005719956,0.001599392,0.0005053563,0.01169187],"study_design_scores_gemma":[0.000003543235,0.000005371803,0.00002826402,0.000001346306,0.00000174419,0.00000223611,0.000001234619,0.9995404,0.00006411214,0.0002824663,0.00006821578,0.000001164741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04400703,0.0004394596,0.9465197,0.000413191,0.0001074175,0.00007130464,0.00007178252,0.0007058777,0.007664122],"genre_scores_gemma":[0.9658685,0.00009130487,0.03076331,0.0001209026,0.00002932547,0.000104506,0.00008094118,0.0000423243,0.002898897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01049594,"threshold_uncertainty_score":0.02086967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2249288637","doi":"10.1109/tte.2015.2505302","title":"SiC-Based Bidirectional Ćuk Converter With Differential Power Processing and MPPT for a Solar Powered Aircraft","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Maximum power point tracking; Photovoltaic system; Electrical engineering; Capacitor; Maximum power principle; Engineering; Power (physics); Boost converter; Electronic engineering; Computer science; Voltage; Automotive engineering; Inverter; Physics","authors":[{"name":"Ahmad Diab-Marzouk","is_ca":true},{"name":"Olivier Trescases","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01633464590310311,"gpt":0.2380363672110312,"spread":0.2217017213079281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001037347,0.0001830483,0.0002612885,0.0002509481,0.000284359,0.000442836,0.0004549749,0.0001755355,0.001358431],"category_scores_gemma":[0.0001523686,0.0001113282,0.0001530762,0.0005109172,0.0001326248,0.0003274466,0.0001988048,0.0003114049,0.000485991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000274045,"about_ca_system_score_gemma":0.0003131483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037672,"about_ca_topic_score_gemma":0.002086596,"domain_scores_codex":[0.9998838,0.0000114127,0.000004988069,0.00001900032,0.00006952508,0.00001130788],"domain_scores_gemma":[0.9999369,0.00000644484,0.000009251039,0.000009996864,0.00003272542,0.000004530085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003922131,0.0001961325,0.001934192,0.0006237554,0.0000508328,0.0004169516,0.0001875054,0.04278689,0.6499093,0.009347783,0.004523613,0.289631],"study_design_scores_gemma":[0.0000700309,0.000659276,0.004019466,0.00003896435,0.00004974647,0.001102564,0.00009767904,0.6413162,0.3321592,0.001399688,0.01904288,0.00004429592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4719474,0.001132516,0.4622823,0.0002560296,0.0001664969,0.0001434086,0.0002221141,0.001534268,0.0623155],"genre_scores_gemma":[0.9671404,0.000167104,0.02860223,0.0000286247,0.00001055287,0.00002157895,0.00006945207,0.00002702194,0.003933081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001358431,"threshold_uncertainty_score":0.004544377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312280374","doi":"10.1109/tte.2022.3232560","title":"A Dual-Active Bridge Converter With a Wide Output Voltage Range (200–1000 V) for Ultrafast DC-Connected EV Charging Stations","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Rockwell Automation (Canada); McMaster University","funders":"","keywords":"Converters; Voltage; Range (aeronautics); Electrical engineering; Forward converter; Ćuk converter; Buck–boost converter; Computer science; Boost converter; Electronic engineering; Engineering; Topology (electrical circuits)","authors":[{"name":"Omar Zayed","is_ca":true},{"name":"Ahmed Elezab","is_ca":true},{"name":"Ahmed Abuelnaga","is_ca":true},{"name":"Mehdi Narimani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01731192487461362,"gpt":0.2425771535841315,"spread":0.2252652287095179,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126409,0.0003226204,0.0003611534,0.000427608,0.0003320691,0.0007182566,0.001057238,0.0004019917,0.003763244],"category_scores_gemma":[0.0001907266,0.000163988,0.0003032271,0.0004043774,0.0001924483,0.0009224983,0.0004244071,0.0006452857,0.001374268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938983,"about_ca_system_score_gemma":0.0003045883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002663849,"about_ca_topic_score_gemma":0.0004846947,"domain_scores_codex":[0.9998224,0.00002509427,0.00001289513,0.00003759904,0.00007949854,0.00002255597],"domain_scores_gemma":[0.999921,0.000009182944,0.000008465131,0.0000141954,0.00003817003,0.000009077536],"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":[0.0003714355,0.0003002132,0.001214855,0.0008631313,0.00006542207,0.0004275088,0.0002346716,0.01950385,0.3919331,0.040877,0.006361009,0.5378478],"study_design_scores_gemma":[0.0001860063,0.001260115,0.003005241,0.0002389626,0.0001551969,0.004369232,0.000270555,0.5135342,0.3357654,0.02237298,0.1187209,0.0001212647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06905755,0.00114753,0.8935771,0.000240435,0.0002007324,0.0001564181,0.0001124204,0.001321966,0.03418593],"genre_scores_gemma":[0.9228301,0.0005506463,0.06703376,0.0001441915,0.00005228185,0.0001142326,0.0001283497,0.00006580165,0.009080502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003763244,"threshold_uncertainty_score":0.01258934,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782235535","doi":"10.1109/tte.2017.2788190","title":"Torque Cancelation of Integrated Battery Charger Based on Six-Phase Permanent Magnet Synchronous Motor Drives for Electric Vehicles","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Pacific Railway (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rotor (electric); Torque; Stator; Control theory (sociology); Engineering; Switched reluctance motor; Synchronous motor; Direct torque control; Electrical engineering; Three-phase; Topology (electrical circuits); Electromagnetic coil; Voltage; Computer science; Induction motor; Physics","authors":[{"name":"Syed Qaseem Ali","is_ca":true},{"name":"Diego Mascarella","is_ca":true},{"name":"G. Joós","is_ca":true},{"name":"Longcheng Tan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01235674619756552,"gpt":0.2655299075690064,"spread":0.2531731613714408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001168923,0.0003046389,0.0003579727,0.0002655478,0.0002776932,0.0003784467,0.0007335334,0.0001927228,0.001446703],"category_scores_gemma":[0.000162492,0.0001168444,0.0002543045,0.0001429436,0.0001568935,0.0003946328,0.0001822355,0.0002224993,0.0005217256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435819,"about_ca_system_score_gemma":0.0001497778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000491126,"about_ca_topic_score_gemma":0.0009214784,"domain_scores_codex":[0.9998645,0.00002042132,0.000009308385,0.00002104949,0.00007063663,0.0000140368],"domain_scores_gemma":[0.9998897,0.00001444718,0.00002149603,0.00001434846,0.00004978103,0.00001020933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006693512,0.0002651367,0.001321944,0.0006586025,0.00008533584,0.0009219198,0.0003130933,0.06255023,0.5002867,0.01282706,0.002528402,0.4175723],"study_design_scores_gemma":[0.0001218813,0.001672451,0.002219767,0.00003547212,0.00008939658,0.001222444,0.00008653927,0.8320022,0.139487,0.003420683,0.01959977,0.00004250682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1704859,0.0006026386,0.8163431,0.00009004556,0.0001618051,0.00007633473,0.00003518629,0.001303737,0.01090121],"genre_scores_gemma":[0.9564364,0.000132582,0.03951601,0.00003472059,0.00002841061,0.00001812899,0.00004929113,0.00002981393,0.00375468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001446703,"threshold_uncertainty_score":0.004839659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2905921525","doi":"10.1109/tte.2018.2887338","title":"Radial Force Density Analysis of Switched Reluctance Machines: The Source of Acoustic Noise","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Acoustics; Harmonics; Noise (video); Harmonic; Sound pressure; Switched reluctance motor; Sound power; Physics; Amplitude; Computer science; Voltage; Sound (geography); Rotor (electric); Optics","authors":[{"name":"Alan Dorneles Callegaro","is_ca":true},{"name":"Jianbin Liang","is_ca":true},{"name":"James Weisheng Jiang","is_ca":true},{"name":"Berker Bilgin","is_ca":true},{"name":"Ali Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00767888066340301,"gpt":0.2120532683811588,"spread":0.2043743877177558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001971081,0.0003816005,0.0002725373,0.0004925693,0.0001510412,0.0003066808,0.000351961,0.0004521146,0.0009962062],"category_scores_gemma":[0.0005640878,0.0001153779,0.0001954226,0.0002174268,0.0004091117,0.0003967374,0.0001765462,0.0002165211,0.0002398197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297077,"about_ca_system_score_gemma":0.0001496302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411599,"about_ca_topic_score_gemma":0.0006488597,"domain_scores_codex":[0.9998066,0.00003834534,0.000004725524,0.00002230944,0.0001158619,0.00001221764],"domain_scores_gemma":[0.999768,0.000103257,0.00003412947,0.00001291004,0.00007251641,0.000009369453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005712549,0.0001684096,0.004576081,0.0005518947,0.0000430836,0.001275842,0.0009116421,0.3683937,0.4246152,0.03353213,0.001519601,0.1638411],"study_design_scores_gemma":[0.000002943336,0.00008028398,0.002421336,0.00001181646,0.000004378491,0.0001812725,0.00006405853,0.9790387,0.01490365,0.002168841,0.001109614,0.00001312071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3393091,0.001448924,0.6440681,0.0002405982,0.00003617683,0.00004576081,0.00006210248,0.0004276559,0.01436155],"genre_scores_gemma":[0.9873546,0.0002982075,0.009548258,0.00001159592,0.00001286615,0.00001402641,0.00002673698,0.0000314274,0.002702366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001411599,"threshold_uncertainty_score":0.003332615,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2759431767","doi":"10.1109/tte.2017.2755549","title":"Acoustic Noise-Based Uniform Permanent-Magnet Demagnetization Detection in SPMSM for High-Performance PMSM Drive","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Demagnetizing field; Acoustics; Noise (video); Magnet; SIGNAL (programming language); Computer science; Engineering; Physics; Electrical engineering; Magnetic field; Artificial intelligence","authors":[{"name":"Min Zhu","is_ca":true},{"name":"Wensong Hu","is_ca":true},{"name":"Narayan C. Kar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008397689955547061,"gpt":0.2085841935774419,"spread":0.2001865036218948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004860247,0.0004281505,0.0003047725,0.0003694661,0.0001612471,0.0002537358,0.0003612917,0.0004152152,0.0004099194],"category_scores_gemma":[0.001460924,0.0001615036,0.0002166597,0.0002300713,0.0003594651,0.0006005782,0.0002802593,0.0002363275,0.0001274179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338919,"about_ca_system_score_gemma":0.0001595131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005721418,"about_ca_topic_score_gemma":0.0008089743,"domain_scores_codex":[0.9995951,0.00007746823,0.00001727052,0.00005510724,0.0002414985,0.00001356022],"domain_scores_gemma":[0.9994924,0.0002409682,0.00008340643,0.00003234982,0.0001363335,0.00001449579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00103943,0.0002110225,0.01037181,0.0007522815,0.00008302389,0.0004639211,0.0003384886,0.1484879,0.4678265,0.002271785,0.0005683569,0.3675854],"study_design_scores_gemma":[0.00001467884,0.0003448925,0.007339195,0.0000207999,0.00002792376,0.0002333463,0.00004685278,0.9117981,0.07838825,0.0008523038,0.0009103083,0.00002332752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1959137,0.0003960897,0.800968,0.0001108222,0.00004961271,0.00004727396,0.00002540691,0.0004393764,0.002049758],"genre_scores_gemma":[0.9658354,0.0001238559,0.03328595,0.00002162329,0.0000155195,0.00002220847,0.00002316,0.00002078845,0.0006514058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005721418,"threshold_uncertainty_score":0.002570391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2979706008","doi":"10.1109/tte.2019.2946063","title":"Vehicle-Directed Smart Charging Strategies to Mitigate the Effect of Long-Range EV Charging on Distribution Transformer Aging","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Smart grid; Electric vehicle; Automotive engineering; Transformer; Computer science; Range (aeronautics); Distribution transformer; Electrical engineering; Grid; Voltage; Engineering","authors":[{"name":"Muhammad Hosnee Mobarak","is_ca":true},{"name":"Jennifer Bauman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003949900266838911,"gpt":0.2041903747662607,"spread":0.2002404744994218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005234288,0.0005247459,0.0004407489,0.0003392876,0.000191097,0.0004554159,0.001010345,0.0003357398,0.001171891],"category_scores_gemma":[0.0009273161,0.0001360401,0.0003388455,0.0003185652,0.0002845,0.0008957522,0.0004337537,0.000339046,0.0003365815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002726709,"about_ca_system_score_gemma":0.0004133669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368831,"about_ca_topic_score_gemma":0.00163287,"domain_scores_codex":[0.9997404,0.00007476948,0.00001766844,0.0000547094,0.00006916424,0.0000432782],"domain_scores_gemma":[0.999652,0.0000802256,0.00007002214,0.00006903569,0.0001037047,0.00002496926],"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":[0.000425757,0.0003287823,0.005132858,0.000253527,0.0001609061,0.0002327933,0.0001727521,0.5548171,0.04900492,0.02185225,0.003079393,0.364539],"study_design_scores_gemma":[0.00007346607,0.0006917423,0.002750385,0.00002056684,0.0001014281,0.00040515,0.0001422164,0.9423486,0.03350582,0.009908406,0.01000748,0.00004485562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2079447,0.0007219019,0.781557,0.0001983616,0.0001182753,0.0001373914,0.0000678768,0.001334155,0.007920349],"genre_scores_gemma":[0.9827753,0.0001517994,0.01576426,0.00003596678,0.00001392975,0.00002361478,0.00004131122,0.00003272796,0.001161018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001368831,"threshold_uncertainty_score":0.003920376,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023910696","doi":"10.1109/tte.2020.2991369","title":"Mathematical Model of an Interior PMSM With Aligned Magnet and Reluctance Torques","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Torque; Magnetic reluctance; Magnet; Control theory (sociology); Computer science; Mathematical model; Direct torque control; Physics; Engineering; Mechanical engineering; Electrical engineering; Artificial intelligence; Voltage","authors":[{"name":"Rajendra Thike","is_ca":true},{"name":"Pragasen Pillay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01269868093157159,"gpt":0.2028421341826147,"spread":0.1901434532510431,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004055237,0.0008684166,0.0008211793,0.0008100877,0.0004529041,0.0009322863,0.001548006,0.001151797,0.00367918],"category_scores_gemma":[0.0005874176,0.0004089257,0.0008518557,0.0006384334,0.0006425158,0.001312671,0.0005353716,0.0009291751,0.001522777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004797093,"about_ca_system_score_gemma":0.000603084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343441,"about_ca_topic_score_gemma":0.0009301011,"domain_scores_codex":[0.9996574,0.00006616347,0.00002838384,0.00007377416,0.0001523631,0.00002191188],"domain_scores_gemma":[0.9997995,0.00005854536,0.0000514163,0.00001913552,0.00006342155,0.000007984863],"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":[0.00006691844,0.00007118005,0.0005805296,0.0007211791,0.00005061811,0.0006478262,0.00025564,0.8020357,0.02419341,0.13071,0.003163243,0.03750371],"study_design_scores_gemma":[0.00001963197,0.0001104111,0.0002808669,0.00002501242,0.00001635476,0.0002310271,0.00002287256,0.9757596,0.001555219,0.01174013,0.01021974,0.00001924564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00707942,0.0008661216,0.9693097,0.0003423578,0.0001623446,0.0001163533,0.0002397132,0.000438834,0.02144509],"genre_scores_gemma":[0.7351598,0.003675229,0.2143989,0.0002508554,0.0002789818,0.0009979237,0.0006417998,0.0001800625,0.04441651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00367918,"threshold_uncertainty_score":0.01230812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3037920194","doi":"10.1109/tte.2020.3004463","title":"PMSM Drive System Efficiency Optimization Using a Modified Gradient Descent Algorithm With Discretized Search Space","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Discretization; Voltage; Permanent magnet synchronous motor; Power (physics); Computer science; Gradient descent; Inverter; Synchronous motor; Torque; Nonlinear system; Magnet; Engineering; Mathematics; Physics","authors":[{"name":"Chunyan Lai","is_ca":true},{"name":"Guodong Feng","is_ca":false},{"name":"Jiangbo Tian","is_ca":true},{"name":"Ze Li","is_ca":true},{"name":"Ying Zuo","is_ca":true},{"name":"Aiswarya Balamurali","is_ca":true},{"name":"Narayan C. Kar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01562999051280763,"gpt":0.2070608077484928,"spread":0.1914308172356851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004866514,0.0007782195,0.0009474186,0.0003779941,0.0003224303,0.000634379,0.0006088116,0.0006673647,0.001233723],"category_scores_gemma":[0.001142126,0.0004315139,0.0004591385,0.0004740592,0.000355652,0.0006031245,0.0004476618,0.0005163134,0.0002878634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006302737,"about_ca_system_score_gemma":0.0008982773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00315634,"about_ca_topic_score_gemma":0.002704262,"domain_scores_codex":[0.9997455,0.00008190019,0.00001413698,0.00004168378,0.00009466879,0.00002202572],"domain_scores_gemma":[0.9997573,0.0001130503,0.00002938045,0.00002274315,0.00006792785,0.00000943758],"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":[0.00002925926,0.00002953757,0.0002966026,0.00005993569,0.00002272628,0.00002819379,0.00002644196,0.9677779,0.001750369,0.002493564,0.0005091348,0.0269763],"study_design_scores_gemma":[0.000004550192,0.0000118482,0.00004187081,0.000001520463,0.000001193165,0.000003793034,0.000001809375,0.9993846,0.0001527871,0.0002523127,0.0001424769,0.00000123447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01345741,0.0001666756,0.9836836,0.00006603559,0.00001881723,0.00003675413,0.00001942982,0.0002424399,0.002308775],"genre_scores_gemma":[0.6999448,0.0002115854,0.2956471,0.00007636094,0.00002986715,0.0003764613,0.0001498642,0.0001262909,0.003437716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00315634,"threshold_uncertainty_score":0.006275952,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004427256","doi":"10.1109/tte.2020.2972374","title":"Reconfigurable Model Predictive Control for Articulated Vehicle Stability With Experimental Validation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":59,"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; Ontario Research Foundation","keywords":"Control theory (sociology); Model predictive control; Controller (irrigation); Tractor; Stability (learning theory); Differential (mechanical device); Trailer; Electronic stability control; Computer science; Vehicle dynamics; Optimal control; Automobile handling; Automotive engineering; Control (management); Engineering; Control engineering; Mathematics; Mathematical optimization","authors":[{"name":"Yubiao Zhang","is_ca":true},{"name":"Amir Khajepour","is_ca":true},{"name":"Ehsan Hashemi","is_ca":true},{"name":"Yechen Qin","is_ca":true},{"name":"Yanjun Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01396199215303007,"gpt":0.2008739786991126,"spread":0.1869119865460825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000457164,0.0005008543,0.0003012148,0.0003101208,0.0003192946,0.0003349597,0.0005867271,0.0004496912,0.001872575],"category_scores_gemma":[0.0005775894,0.0001341088,0.0003203636,0.0002073128,0.0004015232,0.0003051318,0.000481339,0.0005734745,0.0002334337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003181712,"about_ca_system_score_gemma":0.0003471829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002588927,"about_ca_topic_score_gemma":0.00156906,"domain_scores_codex":[0.9997719,0.00003844467,0.00001137698,0.00003268568,0.000102914,0.00004263394],"domain_scores_gemma":[0.9996525,0.00008234058,0.00006288215,0.00009631043,0.00008594577,0.00001997715],"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":[0.0006904147,0.0004563728,0.001460939,0.0004050711,0.00005919574,0.00028331,0.0001949437,0.7831349,0.1594838,0.00331152,0.0006960036,0.04982351],"study_design_scores_gemma":[0.00007271575,0.001080005,0.001558842,0.0000145437,0.00001771299,0.00002601905,0.00004543185,0.9006042,0.09462587,0.0005665767,0.001362489,0.00002560463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7908943,0.0003260002,0.1955059,0.000149182,0.0001108788,0.0001636984,0.0002744352,0.001528766,0.0110469],"genre_scores_gemma":[0.9938818,0.00002994328,0.00542605,0.000005356189,0.000002126842,0.00004133012,0.00005133914,0.000007678689,0.0005542441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002588927,"threshold_uncertainty_score":0.006264389,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}