{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":307,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":307,"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":"2c0a5e1a205f","filters":{"topic":"Industrial Technology and Control Systems"}},"results":[{"id":"W2141169458","doi":"10.1023/a:1021847103560","title":"Development of an Image Processing System and a Fuzzy Algorithm for Site-Specific Herbicide Applications","year":2003,"lang":"en","type":"article","venue":"Precision Agriculture","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Computer science","authors":[{"name":"Chun‐Chieh Yang","is_ca":true},{"name":"Shiv O. Prasher","is_ca":true},{"name":"Jacques-André Landry","is_ca":true},{"name":"Hosahalli S. Ramaswamy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01001971658047724,"gpt":0.2138975143473244,"spread":0.2038777977668472,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005941199,0.0005239825,0.0005740785,0.0007181639,0.0005012615,0.0005971703,0.001199725,0.001106595,0.003170096],"category_scores_gemma":[0.0009354099,0.0004321948,0.0003982286,0.000439647,0.0002096075,0.0006866212,0.0003416084,0.0006839178,0.001108138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900381,"about_ca_system_score_gemma":0.001182142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003957061,"about_ca_topic_score_gemma":0.00440281,"domain_scores_codex":[0.9997154,0.00002358679,0.00001940796,0.00006907622,0.0001509123,0.00002163444],"domain_scores_gemma":[0.9993578,0.0001104682,0.00003581809,0.00005860958,0.0004064353,0.00003081332],"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":[0.000307546,0.0001810599,0.002001901,0.0002445196,0.00007250776,0.0001899063,0.0001146671,0.02019762,0.4968367,0.003437413,0.00300045,0.4734157],"study_design_scores_gemma":[0.00009610283,0.0004231631,0.003873589,0.00004297386,0.0001193816,0.000528851,0.00004469824,0.4350588,0.5369706,0.0009209903,0.02183821,0.00008265996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02090346,0.0001546987,0.9728168,0.0001023361,0.00008183972,0.0002364663,0.00009281796,0.003750766,0.001860916],"genre_scores_gemma":[0.09570437,0.0001253856,0.8999718,0.00008471117,0.00002145692,0.0002106223,0.0001656246,0.0001306082,0.003585297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003957061,"threshold_uncertainty_score":0.01060504,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2022205907","doi":"10.1021/ie051336q","title":"Multivariate Image Analysis of Flames for Product Quality and Combustion Control in Rotary Kilns","year":2006,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Combustion; Kiln; Process engineering; Overheating (electricity); Environmental science; Flue gas; Rotary kiln; Automotive engineering; Computer science; Waste management; Chemistry; Engineering","authors":[{"name":"Gérard Szatvanyi","is_ca":true},{"name":"Carl Duchesne","is_ca":true},{"name":"Gianni Bartolacci","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06040159954644665,"gpt":0.3311653304705917,"spread":0.2707637309241451,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003601862,0.0003226358,0.0002406601,0.0007320749,0.0001399636,0.000360848,0.0002178099,0.000191032,0.0006259432],"category_scores_gemma":[0.0007841842,0.0001306146,0.0002363895,0.0005941857,0.0001974217,0.0004210843,0.0001354189,0.0003560267,0.0001346466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003584769,"about_ca_system_score_gemma":0.0002985419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003126527,"about_ca_topic_score_gemma":0.002596465,"domain_scores_codex":[0.9998925,0.00001485473,0.000004438965,0.00002479779,0.00005180773,0.00001165483],"domain_scores_gemma":[0.9997045,0.00008639089,0.00006899759,0.00002803434,0.00009412308,0.00001784532],"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":[0.0006148312,0.000150965,0.008078827,0.0002629564,0.00003693071,0.00009199203,0.0001650029,0.06550423,0.6485524,0.001913937,0.0008170553,0.2738109],"study_design_scores_gemma":[0.0000177665,0.0001472833,0.03903402,0.00001415183,0.00003013325,0.0001698622,0.00009385963,0.7447319,0.2134017,0.000980458,0.001331787,0.00004709946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5071589,0.0006565116,0.4890903,0.0001294912,0.00003783585,0.00005376594,0.000442321,0.0010088,0.00142207],"genre_scores_gemma":[0.8605262,0.0003458045,0.1383497,0.00001484935,0.00001616825,0.0000234262,0.0001644561,0.00005679708,0.0005025454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003126527,"threshold_uncertainty_score":0.006216645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2136413246","doi":"10.1109/tmech.2007.892822","title":"Mechatronic Design Quotient as the Basis of a New Multicriteria Mechatronic Design Methodology","year":2007,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Mechatronics; Quotient; Basis (linear algebra); Design methods; Engineering; Computer science; Mathematics; Control engineering; Mechanical engineering","authors":[{"name":"Saeed Behbahani","is_ca":true},{"name":"Clarence W. de Silva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07967160158869507,"gpt":0.2814803201561439,"spread":0.2018087185674488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004223115,0.0009880719,0.0007442371,0.001331548,0.00044372,0.001750422,0.001520615,0.0005999946,0.001780813],"category_scores_gemma":[0.002739834,0.0005120185,0.00118826,0.0007837651,0.001546995,0.001850586,0.001831665,0.001416577,0.0003989871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271808,"about_ca_system_score_gemma":0.001933206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014512,"about_ca_topic_score_gemma":0.0008285456,"domain_scores_codex":[0.9970794,0.001063303,0.0003200491,0.0003700139,0.001053865,0.0001133992],"domain_scores_gemma":[0.9988587,0.0003762929,0.0001427692,0.0001723244,0.0003935123,0.00005643217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006063129,0.00006607305,0.000952466,0.0005434598,0.00009896459,0.0002343296,0.0005738958,0.1988602,0.01719075,0.6091884,0.0009144083,0.1713165],"study_design_scores_gemma":[0.00004517673,0.0002352064,0.0003271521,0.0002132111,0.00007714052,0.000294946,0.0001078187,0.7561705,0.009212051,0.1983965,0.03487349,0.00004674813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001163546,0.0001092464,0.9977581,0.00003839739,0.00001255624,0.00003714429,0.000006475217,0.00002923452,0.0008454926],"genre_scores_gemma":[0.07520129,0.0002500479,0.9228794,0.0000461281,0.00002388858,0.0002290406,0.00004227514,0.00004404051,0.00128398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004223115,"threshold_uncertainty_score":0.02233422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105350070","doi":"10.5267/j.ijiec.2011.02.001","title":"A hybrid multiple attribute decision making method for solving problems of industrial environment","year":2011,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Mathematical optimization; Industrial engineering; Management science; Mathematics; Engineering","authors":[{"name":"Dinesh Singh","is_ca":false},{"name":"R. Venkata Rao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0535707589938739,"gpt":0.2629631267976411,"spread":0.2093923678037672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002480398,0.001050811,0.001171649,0.001506547,0.0008190571,0.001365915,0.001453607,0.001039266,0.002963382],"category_scores_gemma":[0.002192887,0.0004193456,0.001359266,0.002035531,0.0005235987,0.001342582,0.0009586086,0.001266701,0.0003723117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007698999,"about_ca_system_score_gemma":0.00153124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003008574,"about_ca_topic_score_gemma":0.004121451,"domain_scores_codex":[0.9983543,0.0007672483,0.00007592767,0.0001662652,0.0005729046,0.00006337277],"domain_scores_gemma":[0.9991942,0.0005419775,0.0000567696,0.00002853409,0.0001483991,0.00003004797],"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":[0.000123534,0.0001153526,0.0004489885,0.0005532115,0.0002074407,0.0001641561,0.0002630087,0.6585417,0.006740142,0.03888236,0.001501967,0.2924581],"study_design_scores_gemma":[0.00003524783,0.0000961969,0.0001192511,0.00003485227,0.00004005814,0.0000519493,0.00005055939,0.9791133,0.001052073,0.01609815,0.003280882,0.00002742903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001908684,0.0001272086,0.9969465,0.00004671568,0.00002018431,0.00005255442,0.00002015759,0.00008518108,0.0007928071],"genre_scores_gemma":[0.08861864,0.0002825642,0.9094296,0.0000539148,0.00002827978,0.000370195,0.00005675178,0.00002127512,0.001138898],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003008574,"threshold_uncertainty_score":0.01311779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1570503215","doi":"10.4271/2005-01-0854","title":"Road Test Simulation Technology in Light Vehicle Development and Durability Evaluation","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor; Chrysler (Canada)","funders":"Australian Research Data Commons","keywords":"Durability; Process (computing); Computer science; Test (biology); Automotive engineering; Simulation; Vehicle dynamics; Engineering","authors":[{"name":"Peijun Xu","is_ca":true},{"name":"Dan Wong","is_ca":true},{"name":"Pierre Leblanc","is_ca":true},{"name":"Gerry Peticca","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01453674258076475,"gpt":0.2467432503576058,"spread":0.232206507776841,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001488936,0.0005964336,0.000443612,0.0008664366,0.0003228213,0.001169788,0.001362889,0.0006157104,0.01537825],"category_scores_gemma":[0.004263564,0.0005021204,0.0004648028,0.0004609445,0.0004422071,0.001537784,0.001021952,0.0009132283,0.005992562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004912323,"about_ca_system_score_gemma":0.001046508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872488,"about_ca_topic_score_gemma":0.001813549,"domain_scores_codex":[0.9981993,0.0006314733,0.00009654803,0.0001072473,0.0008741445,0.0000912454],"domain_scores_gemma":[0.9975992,0.0008509103,0.0001262447,0.0005700589,0.0007662878,0.00008720485],"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":[0.0006655141,0.0005177232,0.005841133,0.0005205864,0.0001232214,0.0006163432,0.0006697475,0.2127887,0.1453861,0.1068109,0.02045008,0.5056099],"study_design_scores_gemma":[0.0001195895,0.0005717309,0.001832976,0.0001328497,0.00006989838,0.00072241,0.0001418122,0.6583465,0.2147207,0.01501052,0.108235,0.00009607088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009388752,0.0001188737,0.968376,0.00007784073,0.00005583648,0.0001642746,0.0001585603,0.006967062,0.0146928],"genre_scores_gemma":[0.341831,0.0006245606,0.6243877,0.0001907054,0.00004177082,0.0005869963,0.001323095,0.002706863,0.02830728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01537825,"threshold_uncertainty_score":0.05144531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400078663","doi":"10.1109/tevc.2024.3419892","title":"Dynamic Multiobjective Optimization Algorithm Guided by Recurrent Neural Network","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Evolutionary Computation","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":22,"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":"Foundation Research Project of Jiangsu Province; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Artificial neural network; Algorithm; Optimization algorithm; Recurrent neural network; Artificial intelligence; Mathematical optimization; Mathematics","authors":[{"name":"Yaru Hu","is_ca":false},{"name":"Ponnuthurai Nagaratnam Suganthan","is_ca":false},{"name":"Witold Pedrycz","is_ca":true},{"name":"Rui Wang","is_ca":false},{"name":"Jinhua Zheng","is_ca":false},{"name":"Juan Zou","is_ca":false},{"name":"Yanjie Song","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008485287543388854,"gpt":0.2306047650038328,"spread":0.222119477460444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007250175,0.0009819176,0.001280837,0.0006209041,0.0004647629,0.000707101,0.001377447,0.00104458,0.001558992],"category_scores_gemma":[0.001136208,0.0004367316,0.0006719899,0.0005699465,0.0004850883,0.0006779174,0.0009109379,0.0007999205,0.0002557483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201666,"about_ca_system_score_gemma":0.001002242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005777877,"about_ca_topic_score_gemma":0.005079779,"domain_scores_codex":[0.9996865,0.00006782547,0.00002156749,0.00007503945,0.00009568703,0.00005341513],"domain_scores_gemma":[0.9996972,0.0001278179,0.00004910183,0.00002326165,0.00007814995,0.00002445239],"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":[0.00004989728,0.0000491943,0.0005743846,0.00004669301,0.00005587143,0.00007609269,0.00005337628,0.9341549,0.002235112,0.004622294,0.0008745966,0.05720761],"study_design_scores_gemma":[0.000005831229,0.00001388622,0.00002830463,0.000001740063,0.000003856127,0.000007155897,0.000001819665,0.9993151,0.00015628,0.0003524884,0.0001114818,0.000002000364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04821973,0.0006446129,0.9446046,0.0002262827,0.00008636425,0.00007527912,0.00003347245,0.0007219524,0.005387768],"genre_scores_gemma":[0.7721351,0.0002856748,0.2225666,0.0002082098,0.00004587304,0.0002980385,0.0001385197,0.000113419,0.004208706],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005777877,"threshold_uncertainty_score":0.0114885,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2065817656","doi":"10.1016/s0003-682x(02)00004-x","title":"Acoustic based condition monitoring of a diesel engine using self-organising map networks","year":2002,"lang":"en","type":"article","venue":"Applied Acoustics","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Diesel engine; Acoustic emission; Feature extraction; Acoustics; Condition monitoring; Engineering; Automotive engineering; Pattern recognition (psychology); Computer science; Artificial intelligence; Electrical engineering; Physics","authors":[{"name":"Weidong Li","is_ca":true},{"name":"Robert Parkin","is_ca":false},{"name":"J Coy","is_ca":false},{"name":"Fengshou Gu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01331429626632731,"gpt":0.1973553461216283,"spread":0.184041049855301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002077806,0.000338988,0.0005259604,0.0006339741,0.0002701961,0.0003710961,0.0005133518,0.0004205832,0.0004452697],"category_scores_gemma":[0.000987123,0.0001661148,0.0001301276,0.0002741411,0.000274595,0.0004745531,0.0004513338,0.0002680682,0.00007779562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002186305,"about_ca_system_score_gemma":0.0001892276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234955,"about_ca_topic_score_gemma":0.002294524,"domain_scores_codex":[0.9998503,0.00003015759,0.000008829727,0.00004017322,0.0000540661,0.00001642156],"domain_scores_gemma":[0.9993758,0.0003504953,0.00006220124,0.00003551275,0.0001260903,0.00005007556],"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":[0.003641862,0.0005069543,0.02437949,0.0002648249,0.0002095777,0.0009760447,0.000711482,0.4936296,0.1782188,0.001229864,0.001360966,0.2948706],"study_design_scores_gemma":[0.00001615312,0.00009475424,0.005189507,0.000002379358,0.00001490198,0.00006100007,0.00003829075,0.9848543,0.009194447,0.0003768921,0.0001469309,0.00001043637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511246,0.0001580411,0.1457701,0.0001550132,0.00005237138,0.00004685975,0.00009119049,0.0009013216,0.001700521],"genre_scores_gemma":[0.995082,0.00001821684,0.004630002,0.000005413079,0.000007673613,0.000006881364,0.00001927465,0.000006611485,0.0002238729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234955,"threshold_uncertainty_score":0.004671752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129086794","doi":"10.1002/acs.656","title":"Experimental modelling and intelligent control of a wood‐drying kiln","year":2001,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada; University of British Columbia","funders":"","keywords":"Kiln; Wood drying; Controller (irrigation); PID controller; Water content; Process (computing); Engineering; Plenum space; Control system; Thermocouple; Process engineering; Control engineering; Control theory (sociology); Environmental science; Computer science; Temperature control; Mechanical engineering; Control (management); Waste management; Artificial intelligence","authors":[{"name":"Givon Chuen Kee Yan","is_ca":true},{"name":"Clarence W. de Silva","is_ca":true},{"name":"Xiaochun G. Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02211150308906526,"gpt":0.239325739477528,"spread":0.2172142363884627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003937503,0.0003287695,0.0004417335,0.0001795923,0.0003124245,0.0003896584,0.0007098558,0.0003866783,0.001782291],"category_scores_gemma":[0.0004390303,0.000194238,0.0003113048,0.0001610337,0.0002931785,0.0002658954,0.0002321607,0.0003224737,0.0001774368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000405949,"about_ca_system_score_gemma":0.0002950643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002777585,"about_ca_topic_score_gemma":0.002822794,"domain_scores_codex":[0.9997864,0.00003449358,0.0000138127,0.00005534682,0.00008676772,0.00002313236],"domain_scores_gemma":[0.9997515,0.00008972454,0.00003756669,0.00005289706,0.00005396891,0.0000142859],"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":[0.001031472,0.0008171559,0.003109779,0.0007974778,0.00005679244,0.0003201751,0.0003107867,0.4042198,0.5646847,0.0008612046,0.0002147689,0.02357585],"study_design_scores_gemma":[0.0001376188,0.001835102,0.00836537,0.00001533611,0.00004312039,0.0000412391,0.00008233576,0.7276078,0.2603371,0.000154178,0.001352631,0.00002822281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767612,0.00006783173,0.02104152,0.00001820424,0.00001746971,0.00008253243,0.00008449318,0.0001745841,0.001752181],"genre_scores_gemma":[0.9959564,0.00002801649,0.003326844,0.000003271546,0.000001190643,0.00003500565,0.00003693225,0.000004234317,0.0006080983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002777585,"threshold_uncertainty_score":0.005962372,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402781665","doi":"10.1109/cvpr52733.2024.01693","title":"CAGE: Controllable Articulation GEneration","year":2024,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Articulation (sociology); Computer science; Political science","authors":[{"name":"Jiayi Liu","is_ca":true},{"name":"Hou In Ivan Tam","is_ca":true},{"name":"Ali Mahdavi‐Amiri","is_ca":true},{"name":"Manolis Savva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01292758754728573,"gpt":0.1945314966470254,"spread":0.1816039090997396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007816148,0.001239303,0.0007636084,0.0009044058,0.0004851889,0.001194159,0.002093821,0.001351233,0.01038221],"category_scores_gemma":[0.002712037,0.0006394677,0.001343567,0.0005341399,0.001060773,0.001099643,0.002669285,0.001420891,0.003456745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004223939,"about_ca_system_score_gemma":0.0005716262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008391984,"about_ca_topic_score_gemma":0.001594105,"domain_scores_codex":[0.9992573,0.0001114028,0.00003331589,0.0001971265,0.0003477879,0.00005295432],"domain_scores_gemma":[0.9990019,0.0004332719,0.00006133799,0.0003072087,0.0001250484,0.00007122922],"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":[0.0003453356,0.0001811773,0.001455248,0.0006968607,0.0001428628,0.0009400669,0.0004338246,0.3159767,0.1472511,0.04553301,0.0295708,0.457473],"study_design_scores_gemma":[0.00004271768,0.00009272768,0.0002933082,0.00003681641,0.0000240229,0.0005160632,0.00003132066,0.9272195,0.03440645,0.01521958,0.02207521,0.00004230481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004845427,0.0001248641,0.9845226,0.00008447321,0.0001117493,0.00007959185,0.0002014526,0.006202676,0.003827219],"genre_scores_gemma":[0.2026429,0.000229134,0.7838213,0.0003018114,0.0000864672,0.0002910247,0.001606118,0.003356019,0.007665138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01038221,"threshold_uncertainty_score":0.03473192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3160848244","doi":"10.1002/cjce.24193","title":"Self‐optimization for smelting process of fused magnesium furnace based on operation status assessment","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Smelting; Process (computing); Fuzzy logic; Computer science; Magnesium; Mathematical optimization; Mathematics; Artificial intelligence; Metallurgy; Materials science","authors":[{"name":"Dapeng Niu","is_ca":false},{"name":"Guojin Zhang","is_ca":false},{"name":"Mingxing Jia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00642818381506583,"gpt":0.2018989059162534,"spread":0.1954707221011876,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005482986,0.0004858694,0.0005841915,0.0004259315,0.0003572352,0.0006194451,0.0004555249,0.0003560818,0.0004567043],"category_scores_gemma":[0.000683264,0.0002553295,0.0005076025,0.0002544653,0.0003267372,0.0006623561,0.0003522181,0.0002518251,0.0000733944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168915,"about_ca_system_score_gemma":0.0004387751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005229866,"about_ca_topic_score_gemma":0.003129045,"domain_scores_codex":[0.9997168,0.00004672761,0.00002173911,0.00007322961,0.0001167989,0.00002470171],"domain_scores_gemma":[0.9997826,0.00006738261,0.00004534964,0.00001856682,0.00007378672,0.00001221899],"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":[0.0003220321,0.0001414116,0.00711016,0.0001540516,0.00006126608,0.0001330802,0.0002057125,0.7992457,0.08992823,0.002201315,0.000404996,0.1000921],"study_design_scores_gemma":[0.000003833566,0.0000296401,0.0007095991,0.000001454384,0.000005201392,0.000005692745,0.000008038208,0.9940704,0.004955534,0.0001589238,0.00004605399,0.000005658245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4560226,0.0002767801,0.5400671,0.0001381736,0.00002341241,0.0000565899,0.00003386748,0.0006144367,0.002767025],"genre_scores_gemma":[0.9923347,0.00002735267,0.007270752,0.000005854676,0.000002079817,0.00001150503,0.00001059257,0.000007810519,0.0003293061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005229866,"threshold_uncertainty_score":0.01039886,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977650938","doi":"10.5539/mas.v4n3p46","title":"Predicting Model of Traffic Volume Based on Grey-Markov","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Markov chain; Markov model; Computer science; Markov process; Traffic volume; Volume (thermodynamics); Variable-order Markov model; Markov renewal process; Process (computing); Statistics; Mathematics; Machine learning; Engineering","authors":[{"name":"Yinpeng Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00949604395470897,"gpt":0.1906545201615716,"spread":0.1811584762068626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005146909,0.0003420522,0.0007026162,0.0006549768,0.0003510088,0.0006643865,0.001102639,0.0006931046,0.001472745],"category_scores_gemma":[0.001428053,0.0002682364,0.0007098155,0.0007927155,0.0004581945,0.001059909,0.000369927,0.0005724844,0.0002454745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008601672,"about_ca_system_score_gemma":0.0006515765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809898,"about_ca_topic_score_gemma":0.008814628,"domain_scores_codex":[0.9997264,0.0000574038,0.00001420818,0.0000712995,0.00008354841,0.00004718069],"domain_scores_gemma":[0.9996673,0.0001790575,0.00004164284,0.00001774656,0.00007461008,0.00001970802],"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":[0.00002110942,0.000009827781,0.001121689,0.00002781301,0.00001300312,0.00007433104,0.00003978559,0.9827152,0.0008698704,0.008592886,0.0002867184,0.00622767],"study_design_scores_gemma":[0.000001549417,0.000004815576,0.0002129502,0.000001557277,0.000002800104,0.000007151448,0.000002024173,0.9974402,0.0001007197,0.002153048,0.00006949719,0.000003675139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2553006,0.0004962305,0.7334803,0.0005245549,0.00008111029,0.00007947582,0.0005497839,0.0006054611,0.008882502],"genre_scores_gemma":[0.9869703,0.0003075929,0.009790074,0.00001964704,0.00002407834,0.00005612891,0.0002062452,0.000014327,0.002611584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01809898,"threshold_uncertainty_score":0.03598726,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2986928129","doi":"10.18280/jesa.520409","title":"A Remanufacturing Logistics Network Model Based on Improved Multi-objective Ant Colony Optimization","year":2019,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Remanufacturing; Ant colony optimization algorithms; ANT; Computer science; Manufacturing engineering; Engineering; Artificial intelligence; Computer network","authors":[{"name":"Dan Li","is_ca":false},{"name":"Chunhong Liu","is_ca":false},{"name":"Kang Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01565401407772469,"gpt":0.2226584410704808,"spread":0.2070044269927561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004383808,0.0009042869,0.0009061957,0.0006736899,0.0004950289,0.001018067,0.001637032,0.001237095,0.002277141],"category_scores_gemma":[0.0006812302,0.0004411087,0.0009095424,0.0008690978,0.0005254711,0.001104782,0.0007639068,0.0008716978,0.0003165416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283012,"about_ca_system_score_gemma":0.001307687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045263,"about_ca_topic_score_gemma":0.01361006,"domain_scores_codex":[0.9996648,0.0001091839,0.00001058078,0.00007081406,0.0001009118,0.00004366745],"domain_scores_gemma":[0.9997932,0.00007953822,0.00004135947,0.00001140167,0.00005900787,0.00001554504],"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":[0.000005831933,0.00000739571,0.00006267928,0.00001258271,0.000005784501,0.00002575571,0.000007024557,0.9953751,0.0002590216,0.002693903,0.0001298602,0.001415088],"study_design_scores_gemma":[0.000001791116,0.000004898747,0.00001893654,9.900531e-7,0.000001807234,0.000003873365,0.000001650987,0.9993069,0.00003545417,0.0004595642,0.0001627641,0.000001336242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03490139,0.000654915,0.944087,0.0005021834,0.0000982062,0.0001048595,0.000190072,0.0002599087,0.01920149],"genre_scores_gemma":[0.8260102,0.001177687,0.1531815,0.0001269441,0.00006335558,0.0003981224,0.0002920965,0.0001050542,0.01864523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02045263,"threshold_uncertainty_score":0.04066712,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402435380","doi":"10.1109/tcyb.2024.3450474","title":"Fuzzy Clustering Guided by Spectral Rotation and Scaling","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Scaling; Cluster analysis; Rotation (mathematics); Fuzzy logic; Pattern recognition (psychology); Artificial intelligence; Fuzzy clustering; Multidimensional scaling; Computer science; Mathematics; Machine learning; Geometry","authors":[{"name":"Jie Zhou","is_ca":false},{"name":"Ge Yuan","is_ca":false},{"name":"Can Gao","is_ca":false},{"name":"Xizhao Wang","is_ca":false},{"name":"Jianhua Dai","is_ca":false},{"name":"Witold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01262812719475099,"gpt":0.2240879882697804,"spread":0.2114598610750294,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009249154,0.0007202979,0.0009476299,0.000886787,0.0005456624,0.0008740645,0.001026991,0.0007596579,0.0009285896],"category_scores_gemma":[0.002925946,0.0003260766,0.001038622,0.001039125,0.0009934163,0.001439916,0.001281367,0.0007158946,0.00038527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006132544,"about_ca_system_score_gemma":0.000892301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002998664,"about_ca_topic_score_gemma":0.001869682,"domain_scores_codex":[0.9990799,0.0002490482,0.00004971984,0.0002532685,0.0002867205,0.00008140468],"domain_scores_gemma":[0.9991738,0.0002423662,0.0001351821,0.0001916293,0.0002162538,0.00004071515],"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":[0.0001580313,0.00007215148,0.0009583569,0.00009479918,0.00006985902,0.0001000549,0.0002935153,0.7559234,0.02069279,0.05043234,0.001646601,0.1695581],"study_design_scores_gemma":[0.000003556699,0.00001694925,0.00009457438,0.000002501486,0.000003640443,0.00002048242,0.00001157134,0.9934308,0.001292914,0.004791655,0.0003241084,0.000007269074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02236774,0.0000980431,0.9762588,0.00007265905,0.00001720443,0.00002590281,0.00002607574,0.0002596845,0.0008738724],"genre_scores_gemma":[0.6566629,0.0002300767,0.3407656,0.00007904083,0.0000453324,0.0001492507,0.0001895332,0.00008823934,0.001789934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002998664,"threshold_uncertainty_score":0.005962372,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2804300920","doi":"10.1139/tcsme-2017-0049","title":"Research on load identification of mine hoist based on improved support vector machine","year":2018,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Hoist (device); Particle swarm optimization; Support vector machine; Computer science; Control theory (sociology); MATLAB; Grid; Genetic algorithm; Engineering; Algorithm; Artificial intelligence; Mathematics; Structural engineering; Machine learning; Control (management)","authors":[{"name":"Fang Ren","is_ca":false},{"name":"An-Qi Shi","is_ca":false},{"name":"Zhao-Jian Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02168655823492715,"gpt":0.2511176234280969,"spread":0.2294310651931697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004107877,0.0006022201,0.0007131171,0.0008056117,0.0002514271,0.0005804559,0.0007210867,0.0005930541,0.0007177076],"category_scores_gemma":[0.00109668,0.0002417467,0.0004320539,0.0007827381,0.0002913267,0.001579978,0.0002885096,0.0004316842,0.0002278427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225094,"about_ca_system_score_gemma":0.0003094873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814585,"about_ca_topic_score_gemma":0.001427737,"domain_scores_codex":[0.9996021,0.000062482,0.00003116692,0.0001075032,0.0001582289,0.00003843242],"domain_scores_gemma":[0.9994951,0.0001598625,0.00006724526,0.00004979143,0.0002086791,0.00001938371],"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":[0.0002998025,0.0001456727,0.01167788,0.000562239,0.0001466464,0.0004044921,0.0003578738,0.4130057,0.04346552,0.005629668,0.001763165,0.5225413],"study_design_scores_gemma":[0.000007215648,0.0000620596,0.002281728,0.000007720623,0.0000143696,0.00006431746,0.00003733758,0.9918761,0.003955829,0.0007392545,0.0009401166,0.00001395265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1379893,0.001370881,0.8563599,0.000196972,0.00007615546,0.00003301819,0.0000497576,0.0008260399,0.003097967],"genre_scores_gemma":[0.9516094,0.000748293,0.0450133,0.00003911576,0.00006336473,0.00003310669,0.0001106463,0.00003752589,0.002345129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002814585,"threshold_uncertainty_score":0.005596399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4298009713","doi":"10.18280/ts.390403","title":"Vibration Signal Features Prediction of GIS Equipment Based on Improved Slime Mold Optimization Algorithm Optimizing CNN-BiLSTM","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Electric Power Research Institute","keywords":"Slime mold; Computer science; Vibration; SIGNAL (programming language); Algorithm; Optimization algorithm; Pattern recognition (psychology); Artificial intelligence; Mathematical optimization; Acoustics; Mathematics","authors":[{"name":"Xiping Jiang","is_ca":false},{"name":"Qian Wang","is_ca":false},{"name":"Yingkai Long","is_ca":false},{"name":"Shiling Zhang","is_ca":false},{"name":"Yun Fang","is_ca":false},{"name":"Dong Hu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009490828593234022,"gpt":0.1850130889452475,"spread":0.1755222603520135,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258045,0.0006692924,0.0004128463,0.0003298516,0.0001969834,0.000356283,0.000629788,0.0004626572,0.001179179],"category_scores_gemma":[0.0006866186,0.0002501212,0.0004558486,0.0002693148,0.0002104849,0.0006263198,0.0003603893,0.0004165596,0.0002395735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004977394,"about_ca_system_score_gemma":0.0006110788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009528037,"about_ca_topic_score_gemma":0.009549242,"domain_scores_codex":[0.9998772,0.00001006128,0.000007958341,0.00004495629,0.00003973646,0.00002008008],"domain_scores_gemma":[0.9998629,0.00003089648,0.00002200126,0.00001437373,0.00006101997,0.000008738836],"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":[0.00009521559,0.00004931544,0.003632552,0.00007210242,0.00005153468,0.0001074081,0.00004868278,0.8025364,0.02272533,0.001200405,0.0009209217,0.1685601],"study_design_scores_gemma":[0.000001718114,0.00001206287,0.0003424684,0.0000013831,0.000003431576,0.000008195044,0.000002012339,0.9980573,0.001329329,0.000141675,0.0000985397,0.00000188785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1327753,0.0003529954,0.8621717,0.0001583903,0.00007021702,0.00004269545,0.0000910996,0.001223365,0.003114317],"genre_scores_gemma":[0.9191523,0.0001283689,0.07746997,0.0000658832,0.00001606705,0.00006305341,0.0001931769,0.00005464733,0.002856572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009528037,"threshold_uncertainty_score":0.01894516,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161169125","doi":"10.1109/cec.2006.1688326","title":"A New Multi-Criteria Mechatronic Design Methodology Using Niching Genetic Algorithm","year":2006,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Mechatronics; Computer science; Process (computing); Engineering design process; Genetic algorithm; Fuzzy logic; Control engineering; Optimal design; Mathematical optimization; Design process; Computer-automated design; Systems design; Industrial engineering; Artificial intelligence; Engineering; Machine learning; Work in process; Mathematics; Software engineering","authors":[{"name":"Saeed Behbahani","is_ca":true},{"name":"C.W. de Silva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09021338825206951,"gpt":0.287605000481903,"spread":0.1973916122298335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138472,0.001048841,0.0009211996,0.001248894,0.0005070579,0.0008205386,0.001931626,0.001231368,0.001847444],"category_scores_gemma":[0.001214351,0.0005143937,0.0009680566,0.0009238634,0.0006862879,0.000639811,0.0009317208,0.0008260309,0.0002656463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009049519,"about_ca_system_score_gemma":0.001345632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004741616,"about_ca_topic_score_gemma":0.00390596,"domain_scores_codex":[0.999351,0.0001897019,0.00002818562,0.00008179388,0.0003107373,0.00003866172],"domain_scores_gemma":[0.9996827,0.000139837,0.00004288008,0.0000188122,0.0001011837,0.00001459008],"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":[0.00002831335,0.00003133533,0.0003836992,0.0001477548,0.00006383659,0.00009154798,0.0000755519,0.9287268,0.005038728,0.01286795,0.0005346398,0.05200988],"study_design_scores_gemma":[0.00001505031,0.00003798253,0.00008116668,0.00001670018,0.00001091982,0.00003473043,0.000006975934,0.9952911,0.0008276427,0.001835495,0.001833764,0.000008489512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003198706,0.0001673878,0.9941071,0.00004352318,0.00002138966,0.00007279856,0.00001400574,0.0001044003,0.002270658],"genre_scores_gemma":[0.1687187,0.0003798571,0.8259136,0.00009314198,0.00002427662,0.0007292703,0.00009430968,0.00006919217,0.003977626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004741616,"threshold_uncertainty_score":0.009428024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2096234898","doi":"10.1109/citcon.2005.1516353","title":"Kiln drive application considerations","year":2005,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Rockwell Automation (Canada)","funders":"","keywords":"Kiln; Torque; Reliability (semiconductor); Automotive engineering; Vibration; Engineering; Voltage; DC motor; Current (fluid); Computer science; Electrical engineering; Power (physics)","authors":[{"name":"George Seggewiss","is_ca":true},{"name":"N. Schachter","is_ca":false},{"name":"Gary Obermeyer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006831627773780982,"gpt":0.1927816635235012,"spread":0.1859500357497202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003279496,0.0004527817,0.000388382,0.0008960309,0.0005689271,0.001127582,0.001148756,0.001099803,0.02824027],"category_scores_gemma":[0.0009552303,0.0002496061,0.0002467913,0.0005797432,0.00015767,0.001347729,0.0006331477,0.0004339089,0.007507042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005847441,"about_ca_system_score_gemma":0.000433278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454991,"about_ca_topic_score_gemma":0.004131898,"domain_scores_codex":[0.9991496,0.00006857426,0.00003942284,0.0001051375,0.0005788303,0.00005839558],"domain_scores_gemma":[0.9995157,0.0000774753,0.00001803022,0.00002922603,0.0003315739,0.00002805033],"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":[0.0006682654,0.0002349466,0.00873207,0.005181737,0.00004427612,0.00433217,0.0009296901,0.01430385,0.1147603,0.03101934,0.05225726,0.767536],"study_design_scores_gemma":[0.00003550516,0.0005111166,0.01124153,0.0004350463,0.00003480037,0.0059542,0.0005251147,0.01025764,0.02971167,0.006360391,0.9348747,0.00005826209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1294869,0.01917053,0.1087033,0.003877139,0.001156717,0.0005020884,0.001081711,0.00227914,0.7337425],"genre_scores_gemma":[0.6706064,0.01489355,0.04007956,0.001148287,0.000851122,0.0002309867,0.001861233,0.0005287761,0.2698],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02824027,"threshold_uncertainty_score":0.09447306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151941337","doi":"10.1142/s0219878908001521","title":"FAULT DIAGNOSIS OF AN INDUSTRIAL MACHINE THROUGH SENSOR FUSION","year":2008,"lang":"en","type":"article","venue":"International Journal of Information Acquisition","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Artificial neural network; Robustness (evolution); Fault (geology); Accelerometer; Microphone; Fast Fourier transform; Feature vector; Feature (linguistics); Vibration; Fuzzy logic; Fault detection and isolation; Pattern recognition (psychology); Algorithm; Acoustics","authors":[{"name":"Haoxiang Lang","is_ca":true},{"name":"Clarence W. de Silva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01695096198053401,"gpt":0.2373228495620291,"spread":0.2203718875814951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420054,0.0005637156,0.0005821569,0.0005362337,0.0003149381,0.0005086794,0.0005693777,0.0007407608,0.0007268843],"category_scores_gemma":[0.001114536,0.0002081657,0.0004320588,0.000292067,0.0003799014,0.0008904932,0.0004706146,0.0005385628,0.0001876923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004958745,"about_ca_system_score_gemma":0.0003802797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002287036,"about_ca_topic_score_gemma":0.00162966,"domain_scores_codex":[0.9996099,0.00005827025,0.00002900542,0.00008052069,0.0001850532,0.00003731808],"domain_scores_gemma":[0.9997448,0.00008063161,0.0000398659,0.00002949881,0.00009540685,0.00000962561],"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":[0.0004691911,0.0001097554,0.003185078,0.0003183366,0.0001311772,0.0003463995,0.0002374346,0.5230495,0.07890443,0.006143769,0.0008058982,0.3862989],"study_design_scores_gemma":[0.00001026765,0.0000924116,0.0009884338,0.00001527866,0.00002366288,0.00007389565,0.00002039162,0.9801992,0.01494068,0.002747953,0.0008733511,0.00001449205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04541943,0.0003692646,0.9521672,0.000110956,0.0000520359,0.00003344844,0.00002954946,0.0007246499,0.001093454],"genre_scores_gemma":[0.8662354,0.0002500735,0.1324054,0.0000550873,0.00002324682,0.00004037113,0.00006185191,0.00001218237,0.0009164672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002287036,"threshold_uncertainty_score":0.004547417,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4251890761","doi":"10.3901/jme.2021.06.142","title":"Path Following Control for Four-wheel Drive Electric Intelligent Vehicle Based on Coordination between Steering and Direct Yaw Moment System","year":2021,"lang":"en","type":"article","venue":"Journal of Mechanical Engineering","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Torque steering; Electric vehicle; Moment (physics); Control (management); Automotive engineering; Motor coordination; Steering wheel; Yaw; Steering linkage; Control theory (sociology); Computer science; Engineering; Physics; Psychology; Artificial intelligence; Power (physics); Neuroscience","authors":[{"name":"LIANG Yixiao","is_ca":true},{"name":"Yinong Li","is_ca":true},{"name":"Amir Khajepour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01045459809809729,"gpt":0.1990093229217987,"spread":0.1885547248237014,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004617577,0.0008489474,0.0007819814,0.0003210445,0.0006770232,0.00113139,0.0007791834,0.0006619602,0.001653216],"category_scores_gemma":[0.0005244194,0.0003211299,0.0004968878,0.0003096331,0.0006520135,0.0006613665,0.0009840454,0.0006034056,0.0002398473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005495001,"about_ca_system_score_gemma":0.001305674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007958,"about_ca_topic_score_gemma":0.006070613,"domain_scores_codex":[0.9996744,0.00005168743,0.00001894686,0.000108193,0.00008742728,0.00005927247],"domain_scores_gemma":[0.9997101,0.00005293625,0.00006181129,0.00001450125,0.0001398643,0.00002066681],"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":[0.0004432116,0.00008464055,0.001739012,0.0002557374,0.00009825013,0.0003474885,0.0003444205,0.9153476,0.01331704,0.009667139,0.001438385,0.05691702],"study_design_scores_gemma":[0.00004669602,0.0002151914,0.0006867583,0.00001133251,0.00002440175,0.00003477561,0.0000555948,0.9949201,0.001520165,0.001408332,0.001062699,0.00001394343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1355802,0.0005920065,0.8414805,0.0004166861,0.0002626352,0.0001256615,0.00008242788,0.0008031587,0.0206567],"genre_scores_gemma":[0.9906922,0.0001213979,0.005885744,0.00003585511,0.00001577929,0.00005382904,0.00004069574,0.00001028212,0.003144227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01007958,"threshold_uncertainty_score":0.02004176,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153288796","doi":"10.1109/citcon.2009.5116161","title":"A Model-Based Approach for Clinker Rotary Kiln Monitoring and Instrumentation","year":2009,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kiln; Scope (computer science); Instrumentation (computer programming); Process control; Focus (optics); Process (computing); Computer science; Control engineering; Clinker (cement); Control system; Rotary kiln; Visualization; Systems engineering; Engineering; Mechanical engineering; Electrical engineering; Materials science","authors":[{"name":"Kyarash Shahriari","is_ca":true},{"name":"S. Tarasiewicz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02637558564865248,"gpt":0.2395605451306278,"spread":0.2131849594819753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004370312,0.0009646408,0.001478929,0.00060207,0.0006207864,0.002069206,0.002088579,0.001737216,0.0022412],"category_scores_gemma":[0.0009331631,0.0006868368,0.001164598,0.0004341359,0.0005976446,0.001258062,0.001207635,0.001597702,0.00064185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121751,"about_ca_system_score_gemma":0.001515745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006145168,"about_ca_topic_score_gemma":0.005083396,"domain_scores_codex":[0.9993457,0.0001007883,0.00002841672,0.0001813338,0.0002914802,0.00005211419],"domain_scores_gemma":[0.9996951,0.00008651473,0.00005723894,0.00004118836,0.00009864521,0.00002137154],"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":[0.00005625762,0.00006811653,0.0003972608,0.0001743868,0.00006398639,0.000214333,0.0001014668,0.9004119,0.0135107,0.03063197,0.0008369641,0.05353275],"study_design_scores_gemma":[0.000007049835,0.0000293777,0.00009937079,0.00001066499,0.00001366051,0.000035373,0.00001064047,0.9921721,0.001271147,0.004685446,0.001651664,0.0000134454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001409386,0.0001080694,0.9968364,0.00006143896,0.00002090545,0.00001979456,0.00001829926,0.0002742763,0.001251425],"genre_scores_gemma":[0.5814258,0.0008619601,0.408015,0.0001655708,0.0001006612,0.0004117552,0.0002126012,0.0001736764,0.008632978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006145168,"threshold_uncertainty_score":0.01221883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983191300","doi":"10.1115/detc2006-99175","title":"Model-Based Decomposition Using Non-Binary Dependency Analysis and Heuristic Partitioning Analysis","year":2006,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Dependency (UML); Heuristic; Computer science; Decomposition; Binary number; Mathematical optimization; Algorithm; Decomposition method (queueing theory); Functional dependency; Theoretical computer science; Mathematics; Data mining; Artificial intelligence; Relational database; Statistics","authors":[{"name":"Simon Li","is_ca":true},{"name":"Li Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009338737559092536,"gpt":0.2285835176135538,"spread":0.2192447800544612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001613707,0.001292133,0.001075904,0.001829475,0.0006110811,0.001238371,0.001253203,0.0007609098,0.003368311],"category_scores_gemma":[0.004244091,0.0006867631,0.001511063,0.001300539,0.0007891633,0.001420694,0.001495421,0.001265191,0.0005802098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000816491,"about_ca_system_score_gemma":0.00129257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200893,"about_ca_topic_score_gemma":0.00229704,"domain_scores_codex":[0.9987003,0.0005673966,0.00006629444,0.0001406951,0.0004393777,0.00008591149],"domain_scores_gemma":[0.9986305,0.000714281,0.000137264,0.0002200716,0.0002554721,0.00004242378],"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":[0.00007362016,0.0001541345,0.001061097,0.0004060642,0.000121164,0.0001720438,0.0002702902,0.651886,0.01002409,0.1356102,0.001875261,0.1983462],"study_design_scores_gemma":[0.00001231273,0.00002280605,0.0001304444,0.00001666269,0.00001696732,0.0000376704,0.00002084822,0.9686347,0.001367405,0.02854815,0.001181955,0.00001017995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001339727,0.0000222428,0.9978614,0.00001747928,0.000004895441,0.00002602074,0.000009414125,0.00007518946,0.0006435857],"genre_scores_gemma":[0.07375006,0.00008652706,0.9250153,0.00003059297,0.00001532977,0.0002179059,0.0001182052,0.0001101853,0.0006559333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003368311,"threshold_uncertainty_score":0.01126814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226415245","doi":"10.1109/tuffc.2021.3123019","title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Automatic frequency control; Materials science; Electronic engineering; Acoustics; Electrical engineering; Engineering; Physics","authors":[{"name":"Paul Reynolds -President","is_ca":true},{"name":"Mark Schafer -President-Elect","is_ca":true},{"name":"Dan Stevens","is_ca":true},{"name":"Peter A. Lewin","is_ca":true},{"name":"Alfred C. H. Yu","is_ca":true},{"name":"T. S. Bigelow","is_ca":true},{"name":"Giorgio Santarelli","is_ca":true},{"name":"Jia Liu","is_ca":true},{"name":"Jean‐François Aubry","is_ca":true},{"name":"Joseph S. Chang","is_ca":true},{"name":"Michael J. Driscoll","is_ca":true},{"name":"H. Hasegawa","is_ca":true},{"name":"Robert J. McGough","is_ca":true},{"name":"Gerd Schmitz","is_ca":true},{"name":"Gabriel Silva","is_ca":true},{"name":"A Van Der Steen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009291326464701684,"gpt":0.1973246490191994,"spread":0.1880333225544978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009821507,0.0007239584,0.0008458791,0.0009162714,0.0005372881,0.001486418,0.0007613678,0.001471665,0.02960864],"category_scores_gemma":[0.002205093,0.0002113285,0.0003797634,0.0009404178,0.0009321362,0.001100835,0.0009466878,0.001182001,0.01040819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779896,"about_ca_system_score_gemma":0.0008812207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637982,"about_ca_topic_score_gemma":0.001870221,"domain_scores_codex":[0.9990325,0.0001577647,0.00006198413,0.0001052505,0.0005467241,0.0000958366],"domain_scores_gemma":[0.9988372,0.0002646037,0.00006491807,0.000195565,0.0005667621,0.00007104477],"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":[0.0003337792,0.0001062457,0.001726478,0.0005841299,0.00008154407,0.0004544521,0.0002580225,0.005198291,0.02376249,0.06241957,0.1840791,0.7209958],"study_design_scores_gemma":[0.0000202603,0.0001475247,0.001529617,0.0001778146,0.00004150377,0.000861378,0.0001127387,0.01497928,0.006430167,0.01689211,0.958765,0.00004266064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01457759,0.1069261,0.4422854,0.01062484,0.03868814,0.0002662172,0.000779476,0.002063311,0.3837888],"genre_scores_gemma":[0.2977578,0.07951548,0.1053558,0.003490196,0.008324368,0.0003656882,0.001851685,0.0003754624,0.5029634],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9703913,"threshold_uncertainty_score":0.09905076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3097109914","doi":"10.18280/jesa.530418","title":"Production Logistics Management of Industrial Enterprises Based on Wavelet Neural Network","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Rationalization (economics); Scheduling (production processes); Computer science; Manufacturing engineering; Industrial production; Artificial neural network; Industrial engineering; Production (economics); Operations research; Operations management; Engineering; Artificial intelligence","authors":[{"name":"Liang Qian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03593343876544453,"gpt":0.2283799094235537,"spread":0.1924464706581092,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003654296,0.0004038367,0.0004067127,0.0002907845,0.0002643109,0.000695362,0.000616836,0.0004638236,0.0007616291],"category_scores_gemma":[0.0005984572,0.0002330141,0.000382007,0.0004111071,0.000232859,0.001033826,0.0004911726,0.0004917568,0.00009832839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837503,"about_ca_system_score_gemma":0.0007503945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007242659,"about_ca_topic_score_gemma":0.00422429,"domain_scores_codex":[0.9998446,0.00002957141,0.000009510806,0.00004292181,0.00003735044,0.00003610823],"domain_scores_gemma":[0.9998804,0.00003694822,0.00002746654,0.000006109531,0.00003748042,0.00001167132],"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":[0.00004343534,0.00004306174,0.001261241,0.00002588303,0.00002491039,0.00004024068,0.00002560394,0.9704283,0.001466931,0.002375252,0.0002616805,0.02400354],"study_design_scores_gemma":[0.000001358421,0.000007261995,0.00009464254,8.52009e-7,0.000002239493,0.000001522123,0.000002825919,0.9994044,0.00009208805,0.0003602829,0.00003139644,0.000001085328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1762653,0.000368077,0.8182591,0.0003309868,0.00004306719,0.00004266362,0.00005660524,0.0002224392,0.004411867],"genre_scores_gemma":[0.9783596,0.0002724173,0.01943027,0.00002644866,0.00001415348,0.00004682469,0.00005728072,0.000009198741,0.001783837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007242659,"threshold_uncertainty_score":0.01440096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212969344","doi":"10.1155/2022/2116280","title":"Rotary Kiln Thermal Simulation Model and Smart Supply Chain Logistics Transportation Monitoring Management","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Kiln; Supply chain; Rotary kiln; Automotive engineering; Thermal insulation; Supply chain management; Engineering; Waste management; Materials science; Business","authors":[{"name":"Zesheng Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01193638618444201,"gpt":0.2230481487752507,"spread":0.2111117625908087,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002802887,0.0006017284,0.0003900939,0.0003656359,0.0004084126,0.0007998309,0.0005877141,0.0006839341,0.002750414],"category_scores_gemma":[0.0006946272,0.0003364315,0.0008184056,0.0004354394,0.0004073975,0.001060656,0.0004715642,0.0004865132,0.0003228699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007950807,"about_ca_system_score_gemma":0.0008752426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319305,"about_ca_topic_score_gemma":0.006345963,"domain_scores_codex":[0.9997334,0.0000742491,0.00001376182,0.00006454861,0.0000811145,0.00003292415],"domain_scores_gemma":[0.9997886,0.00007748196,0.00003416564,0.00002360071,0.00006297131,0.0000132037],"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":[0.00001862062,0.00001431382,0.0006344766,0.00001965933,0.000007195669,0.00001996855,0.00002065893,0.991524,0.00166754,0.002319891,0.0001495922,0.00360414],"study_design_scores_gemma":[0.000002753403,0.000007326831,0.0001180334,0.000001615955,0.000003157861,0.000003400168,0.000006761654,0.998632,0.0004379576,0.0004568053,0.0003274603,0.000002630221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1366315,0.0004226233,0.8372221,0.0003952076,0.00009619314,0.0001000459,0.0002414878,0.0005873385,0.0243034],"genre_scores_gemma":[0.9603702,0.000379205,0.03302291,0.00003276491,0.00001405219,0.0001164251,0.0001892315,0.00006338923,0.005811777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01319305,"threshold_uncertainty_score":0.02623248,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321460969","doi":"10.26855/ea.2022.12.007","title":"Application of Intelligent Control in Mechatronics System","year":2023,"lang":"en","type":"article","venue":"Engineering Advances","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Mechatronics; Control (management); Computer science; Control engineering; Engineering; Manufacturing engineering; Artificial intelligence","authors":[{"name":"Xu Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003708890126930747,"gpt":0.1881013415819035,"spread":0.1843924514549727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003141425,0.0004559976,0.00037,0.0007977916,0.0005162462,0.001466964,0.000700624,0.0008291696,0.002381544],"category_scores_gemma":[0.0006964062,0.0001540185,0.0003575268,0.0006256871,0.0006506416,0.000906933,0.0005762431,0.0004592765,0.0006342669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103401,"about_ca_system_score_gemma":0.0004679689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002102947,"about_ca_topic_score_gemma":0.0006285584,"domain_scores_codex":[0.9990209,0.00009439272,0.00006965329,0.0001956484,0.0005436481,0.00007568728],"domain_scores_gemma":[0.9997684,0.00004630247,0.0000227063,0.00003565494,0.0001118701,0.00001488022],"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":[0.0002592786,0.0001759212,0.005050815,0.001092509,0.0001097785,0.001033962,0.0008884345,0.05477262,0.1493506,0.08701821,0.009058778,0.6911891],"study_design_scores_gemma":[0.0001003294,0.0008309655,0.0107149,0.0003513417,0.0002157131,0.002621824,0.0003799163,0.5570952,0.159201,0.04316923,0.2250772,0.0002424236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04360623,0.01327828,0.8175414,0.001366561,0.0008279805,0.0002561434,0.0001143141,0.003113299,0.1198957],"genre_scores_gemma":[0.9105318,0.005970891,0.06529325,0.0004067753,0.0004189462,0.0001146971,0.0001475001,0.00007974933,0.01703639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002381544,"threshold_uncertainty_score":0.007966995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977726462","doi":"10.5539/ijb.v2n2p158","title":"Influences of Aquiculture on Ecological Environment","year":2010,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Science Foundation","keywords":"China; Pollution; Aquatic ecosystem; Water quality; Quality (philosophy); Environmental science; Aquatic environment; Environmental quality; Ecology; Business; Natural resource economics; Environmental protection; Environmental planning; Environmental resource management; Environmental engineering; Geography; Biology; Economics","authors":[{"name":"Guangjun Wang","is_ca":false},{"name":"Xie Jun","is_ca":false},{"name":"Guangping Yin","is_ca":false},{"name":"Deguang Yu","is_ca":false},{"name":"Ermeng Yu","is_ca":false},{"name":"Haiying Wang","is_ca":false},{"name":"Wangbao Gong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007983403262199035,"gpt":0.2300867015727789,"spread":0.2221032983105798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002468188,0.0003718302,0.0002612621,0.0004740793,0.0005844117,0.00114766,0.0002297116,0.0002425455,0.003959407],"category_scores_gemma":[0.0006038728,0.0001171897,0.0002451985,0.0005410028,0.0007011349,0.0004583408,0.001247746,0.0001856448,0.0002958284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009595663,"about_ca_system_score_gemma":0.0006512381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196912,"about_ca_topic_score_gemma":0.02031841,"domain_scores_codex":[0.9995763,0.0001248334,0.00002151521,0.00007005945,0.0001082287,0.00009908179],"domain_scores_gemma":[0.9995095,0.00008525367,0.0001263385,0.00002058516,0.0001561739,0.0001021873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009580666,0.0001650986,0.7482029,0.0008500451,0.0004682425,0.005009012,0.001809403,0.008943195,0.1234701,0.005931671,0.002716324,0.101476],"study_design_scores_gemma":[0.00001252039,0.0002275961,0.9789425,0.00003922797,0.0001217914,0.0005136378,0.001609011,0.001297834,0.004868058,0.00122092,0.01110744,0.00003939688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789796,0.002323241,0.001113249,0.0003734644,0.00003300287,0.00001500669,0.0002570312,0.00002571066,0.01687967],"genre_scores_gemma":[0.996509,0.00123719,0.000255429,0.00006687405,0.00001046509,0.000005146588,0.00008326587,0.000006008353,0.001826521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196912,"threshold_uncertainty_score":0.02379888,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139256913","doi":"10.1109/ical.2008.4636254","title":"An automated industrial fish cutting machine: Control, fault diagnosis and remote monitoring","year":2008,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Fault (geology); Remote monitoring and control; Factory (object-oriented programming); Remote control; Control system; Fuzzy logic; Hydraulic machinery; Real-time computing; Computer science; Embedded system; Control engineering; Engineering; Control (management); Computer hardware; Artificial intelligence; Mechanical engineering","authors":[{"name":"Haoxiang Lang","is_ca":true},{"name":"Ying Wang","is_ca":true},{"name":"Clarence W. de Silva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02395098621186866,"gpt":0.2454375731111514,"spread":0.2214865868992827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258891,0.0003572367,0.0003489095,0.0003195342,0.0003198076,0.0003483156,0.0006478472,0.0006228999,0.001266388],"category_scores_gemma":[0.0005365394,0.0001545653,0.0001262162,0.0002128835,0.0003531314,0.0003162864,0.0002142278,0.0002910691,0.000263408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250761,"about_ca_system_score_gemma":0.0004853078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005537346,"about_ca_topic_score_gemma":0.004328141,"domain_scores_codex":[0.9996637,0.00002885523,0.000009093792,0.00006139653,0.0002110861,0.00002592785],"domain_scores_gemma":[0.9997239,0.0000779834,0.00003906448,0.00004042123,0.0001011217,0.00001742838],"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":[0.0005912608,0.0001507788,0.005524387,0.0003738627,0.00002439963,0.0006605557,0.0002894726,0.03536033,0.4758442,0.00141011,0.00145447,0.4783161],"study_design_scores_gemma":[0.0003277194,0.002847169,0.05168789,0.0001054573,0.0001190462,0.003928385,0.0002563671,0.5411667,0.3690283,0.002549365,0.02786254,0.0001211941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4526367,0.001019955,0.533815,0.0002842226,0.0000788551,0.0003846221,0.0001034447,0.004621109,0.007056165],"genre_scores_gemma":[0.92243,0.0001780185,0.07348668,0.00005043135,0.00002509463,0.00008912795,0.00005482724,0.00002730952,0.003658515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005537346,"threshold_uncertainty_score":0.01101029,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2796534179","doi":"","title":"Principal Components Analysis Tuning for Improved Myoelectric Control","year":2007,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Principal component analysis; Control (management); Computer science; Artificial intelligence","authors":[{"name":"Levi J. Hargrove","is_ca":true},{"name":"Erick Scheme","is_ca":true},{"name":"Kevin Englehart","is_ca":true},{"name":"B. Hudgins","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0111936422257586,"gpt":0.217172841111071,"spread":0.2059791988853124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006727595,0.0008044611,0.0006165595,0.0005928617,0.0004793868,0.0006469819,0.0005315712,0.0005704823,0.004668115],"category_scores_gemma":[0.002392953,0.0003730801,0.0004197677,0.0006691457,0.0002417866,0.0005150756,0.0005327092,0.000815361,0.001483085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493457,"about_ca_system_score_gemma":0.0003781318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286195,"about_ca_topic_score_gemma":0.002407759,"domain_scores_codex":[0.9993868,0.0001824886,0.00003989421,0.0001431621,0.0001895103,0.00005805896],"domain_scores_gemma":[0.9993419,0.000268677,0.00004286465,0.00009896621,0.0002269338,0.00002065971],"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":[0.0006854331,0.0002144722,0.0006143933,0.0002604278,0.0001016355,0.0000509547,0.0001022809,0.03391457,0.164864,0.003821103,0.003803401,0.7915673],"study_design_scores_gemma":[0.0001037757,0.000290546,0.008606656,0.00004638028,0.0001240777,0.0001689054,0.00003257089,0.8760808,0.1008087,0.002707764,0.01096964,0.00006013862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0156719,0.0005153999,0.9798512,0.0001039703,0.0001108131,0.00003978873,0.00006732844,0.001487876,0.002151808],"genre_scores_gemma":[0.4470935,0.0004382616,0.5439676,0.0001813844,0.0001438622,0.0002075698,0.0003315283,0.0007209399,0.006915339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004668115,"threshold_uncertainty_score":0.01561642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2384374522","doi":"","title":"Research and Realization of Partner Selection System in Cooperative Manufacturing Based on Web","year":2005,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"CAE (Canada)","funders":"","keywords":"Selection (genetic algorithm); Relation (database); Key (lock); Realization (probability); Manufacturing engineering; Object (grammar); Computer science; Engineering; Industrial engineering; Operations research; Systems engineering; Artificial intelligence; Data mining; Mathematics; Computer security","authors":[{"name":"Yadong Fang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0267753493367621,"gpt":0.2720842956587411,"spread":0.245308946321979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001626979,0.0003171267,0.0004121857,0.0008093131,0.001204237,0.002157758,0.0009167198,0.0008006815,0.004072205],"category_scores_gemma":[0.002245624,0.0002567265,0.0004792502,0.0009778258,0.0006270386,0.00313926,0.0012273,0.0005262992,0.000994821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777339,"about_ca_system_score_gemma":0.001094908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835524,"about_ca_topic_score_gemma":0.001597672,"domain_scores_codex":[0.9988427,0.0003955041,0.00006045946,0.0001940053,0.0004100905,0.00009723027],"domain_scores_gemma":[0.9993488,0.0001970062,0.00003941176,0.0001376056,0.0002134194,0.00006377813],"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":[0.0003455381,0.0003915762,0.007466232,0.000406459,0.00008482016,0.001196101,0.003977529,0.03967657,0.03885601,0.324288,0.009298932,0.5740123],"study_design_scores_gemma":[0.0001617006,0.0004082623,0.005058572,0.0001213614,0.0001551067,0.001224474,0.002135992,0.7233539,0.05607617,0.1129501,0.09823639,0.0001179467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05906558,0.000288378,0.904179,0.0004051808,0.00006021257,0.0002133656,0.00004901694,0.002182255,0.03355705],"genre_scores_gemma":[0.7617011,0.0003249702,0.2255457,0.0001018603,0.00003607713,0.0002543695,0.0002292069,0.00009530438,0.01171144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004072205,"threshold_uncertainty_score":0.01362294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4232629927","doi":"10.1109/tuffc.2021.3101959","title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Automatic frequency control; Acoustics; Materials science; Electronic engineering; Electrical engineering; Engineering; Physics","authors":[{"name":"Paul Reynolds -President","is_ca":true},{"name":"Mark Schafer -President-Elect","is_ca":true},{"name":"Dan Stevens","is_ca":true},{"name":"Peter A. Lewin","is_ca":true},{"name":"Alfred C. H. Yu","is_ca":true},{"name":"T. S. Bigelow","is_ca":true},{"name":"Giorgio Santarelli","is_ca":true},{"name":"Jia Liu","is_ca":true},{"name":"Jean‐François Aubry","is_ca":true},{"name":"Joseph S. Chang","is_ca":true},{"name":"Michael J. Driscoll","is_ca":true},{"name":"H. Hasegawa","is_ca":true},{"name":"Robert J. McGough","is_ca":true},{"name":"Gerd Schmitz","is_ca":true},{"name":"Gabriel Silva","is_ca":true},{"name":"A Van Der Steen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009291326464701684,"gpt":0.1973246490191994,"spread":0.1880333225544978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009821507,0.0007239584,0.0008458791,0.0009162714,0.0005372881,0.001486418,0.0007613678,0.001471665,0.02960864],"category_scores_gemma":[0.002205093,0.0002113285,0.0003797634,0.0009404178,0.0009321362,0.001100835,0.0009466878,0.001182001,0.01040819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779896,"about_ca_system_score_gemma":0.0008812207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637982,"about_ca_topic_score_gemma":0.001870221,"domain_scores_codex":[0.9990325,0.0001577647,0.00006198413,0.0001052505,0.0005467241,0.0000958366],"domain_scores_gemma":[0.9988372,0.0002646037,0.00006491807,0.000195565,0.0005667621,0.00007104477],"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":[0.0003337792,0.0001062457,0.001726478,0.0005841299,0.00008154407,0.0004544521,0.0002580225,0.005198291,0.02376249,0.06241957,0.1840791,0.7209958],"study_design_scores_gemma":[0.0000202603,0.0001475247,0.001529617,0.0001778146,0.00004150377,0.000861378,0.0001127387,0.01497928,0.006430167,0.01689211,0.958765,0.00004266064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01457759,0.1069261,0.4422854,0.01062484,0.03868814,0.0002662172,0.000779476,0.002063311,0.3837888],"genre_scores_gemma":[0.2977578,0.07951548,0.1053558,0.003490196,0.008324368,0.0003656882,0.001851685,0.0003754624,0.5029634],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9703913,"threshold_uncertainty_score":0.09905076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392388907","doi":"10.22153/kej.2024.11.002","title":"Adaptive Robust Tracking Control of Robotic Manipulator based on SMC and Fuzzy Control Strategy","year":2024,"lang":"en","type":"article","venue":"Al-Khwarizmi Engineering Journal","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Robot manipulator; Control theory (sociology); Manipulator (device); Tracking (education); Computer science; Fuzzy control system; Control (management); Fuzzy logic; Control engineering; Adaptive control; Artificial intelligence; Robot; Engineering; Psychology","authors":[{"name":"Ali Hussien Mary","is_ca":false},{"name":"Ahmad A. Al-Talabi","is_ca":false},{"name":"Tolgay Kara","is_ca":false},{"name":"Dina Saadi Muneam","is_ca":false},{"name":"Mohammad Yahya Almuhanna","is_ca":false},{"name":"Laith Awda Kadhim Mayyahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01715606463974018,"gpt":0.1975862720452911,"spread":0.1804302074055509,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057138,0.0007503687,0.0007282333,0.000493257,0.0004670213,0.0004971836,0.0008537463,0.0006862555,0.0008183012],"category_scores_gemma":[0.0005616072,0.0002614886,0.0006683809,0.0004838583,0.0004837651,0.0004282005,0.0004442999,0.0004515779,0.0001672828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003980429,"about_ca_system_score_gemma":0.0006150277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005524773,"about_ca_topic_score_gemma":0.003398283,"domain_scores_codex":[0.9996583,0.00005220965,0.00002630198,0.00008353827,0.0001465695,0.00003298245],"domain_scores_gemma":[0.9998068,0.00004758749,0.00003680701,0.00001819145,0.00007925415,0.00001135995],"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":[0.000296778,0.0001109684,0.0008891126,0.0005595831,0.0001761299,0.0005995035,0.000320061,0.6759796,0.06688498,0.02489421,0.001836701,0.2274524],"study_design_scores_gemma":[0.00003750704,0.000197986,0.0003788722,0.00001516604,0.0000242772,0.00008268679,0.00001156604,0.9917697,0.00389746,0.001550151,0.002018315,0.00001624561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03358489,0.001192036,0.9585931,0.0001245295,0.0001399166,0.00007868982,0.00002189603,0.0007142402,0.005550697],"genre_scores_gemma":[0.8794068,0.0007786383,0.1138432,0.00009759753,0.00009784925,0.0002734977,0.00007955982,0.00002423413,0.005398748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005524773,"threshold_uncertainty_score":0.01098526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392429512","doi":"10.18280/jesa.570112","title":"Active Disturbance Rejection Control Based Sensorless Model Predictive Control for PMSM","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Disturbance (geology); Model predictive control; Control (management); Active disturbance rejection control; Computer science; Control engineering; Engineering; Biology; Physics; Artificial intelligence; Nonlinear system","authors":[{"name":"Ilyes Dahnoun","is_ca":false},{"name":"Amor Bourek","is_ca":false},{"name":"Abdelkarim Ammar","is_ca":false},{"name":"Oussama Belaroussi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01364211081320378,"gpt":0.2309799148247844,"spread":0.2173378040115806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004119928,0.0005046769,0.0004392838,0.0002550704,0.0002456827,0.0005351224,0.0007082671,0.0003649432,0.0007593789],"category_scores_gemma":[0.0006914562,0.000211262,0.0003352319,0.0002447816,0.0002768106,0.000433119,0.0003036761,0.0006069347,0.000232792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302624,"about_ca_system_score_gemma":0.0002816111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614352,"about_ca_topic_score_gemma":0.001273909,"domain_scores_codex":[0.9996568,0.00006623427,0.00001879224,0.00006230375,0.0001749279,0.00002086831],"domain_scores_gemma":[0.999726,0.00008492333,0.00006119085,0.00003372956,0.00008647912,0.000007624449],"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":[0.0003703476,0.0001998395,0.000772407,0.0007034271,0.0001027935,0.000297785,0.0002288307,0.4957621,0.06975918,0.007000259,0.002585084,0.422218],"study_design_scores_gemma":[0.00002845041,0.0002342818,0.0004344635,0.00001259484,0.00001677114,0.00005914152,0.000008703299,0.9858694,0.009888311,0.0007795005,0.002658175,0.00001023002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02107692,0.0006618473,0.973825,0.00009497099,0.0001279655,0.00004119629,0.00002368142,0.001087424,0.003060914],"genre_scores_gemma":[0.964494,0.0003015063,0.03285896,0.00004875415,0.00004660266,0.0000643427,0.00005758174,0.00002901561,0.00209926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001614352,"threshold_uncertainty_score":0.003209889,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395665989","doi":"10.18280/mmep.110429","title":"Experimental Research in Frequency and Time Domain for Electromechanical System with Distributed Parameters in Mechanical Part","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Ministry of Higher Education and Scientific Research","keywords":"Frequency domain; Time domain; Computer science; Materials science; Control engineering; Control theory (sociology); Engineering; Artificial intelligence; Control (management)","authors":[{"name":"Андрей Корнеев","is_ca":false},{"name":"Yitong Niu","is_ca":false},{"name":"Gennady Sergeyevich Lenevsky","is_ca":false},{"name":"Israa Al Barazanchi","is_ca":false},{"name":"Ravi Sekhar","is_ca":false},{"name":"Pritesh Shah","is_ca":false},{"name":"Nitin Solke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03591159547688796,"gpt":0.2413593967193357,"spread":0.2054478012424477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064538,0.000535538,0.0004583904,0.0005235286,0.0005080614,0.0005671319,0.0007553146,0.0007581399,0.004574898],"category_scores_gemma":[0.00250131,0.0002375472,0.0003394595,0.0004907311,0.0008114224,0.0009188876,0.0005740465,0.0005753277,0.0006480986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809506,"about_ca_system_score_gemma":0.0002462364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002023579,"about_ca_topic_score_gemma":0.0003001333,"domain_scores_codex":[0.9986884,0.0002493736,0.00008436435,0.0002909581,0.0006012238,0.00008565123],"domain_scores_gemma":[0.998264,0.000743201,0.0001882933,0.0004054575,0.0003452839,0.00005391262],"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":[0.000505319,0.0004845169,0.00143394,0.0008981872,0.00004078894,0.0003722073,0.0007551876,0.01129357,0.9237046,0.004890669,0.0007031132,0.05491783],"study_design_scores_gemma":[0.0001076352,0.004714923,0.009487497,0.0001371721,0.00008731805,0.0007677766,0.0008541499,0.04814631,0.9151745,0.00326902,0.0171622,0.00009146037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7153391,0.001024573,0.2697371,0.0003752808,0.0004877511,0.0003640306,0.0003513026,0.0008486973,0.01147226],"genre_scores_gemma":[0.9607061,0.0002720545,0.03630777,0.00007407501,0.0000388852,0.0001738164,0.0001291728,0.0000491472,0.002248928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004574898,"threshold_uncertainty_score":0.01530457,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392362744","doi":"10.18280/jesa.570111","title":"Analysis of the Improved Proportional Hydraulic Directional Control Valve by Adding a Solenoid Directional Valve","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"University of Baghdad","keywords":"Solenoid valve; Solenoid; Control theory (sociology); Control valves; Computer science; Engineering; Control (management); Mechanical engineering; Artificial intelligence","authors":[{"name":"Maher Yahya Salloom","is_ca":false},{"name":"Mohammad Yahya Almuhanna","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007995484327511187,"gpt":0.2180983878958125,"spread":0.2101029035683014,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006279898,0.0003645848,0.0005413714,0.0003555686,0.0004020536,0.001103523,0.0008681224,0.0007151957,0.00354321],"category_scores_gemma":[0.0007216329,0.0002858691,0.0007297759,0.000155999,0.0005278287,0.0007152464,0.0003387292,0.0004334209,0.0004275966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007951137,"about_ca_system_score_gemma":0.0006466719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001904675,"about_ca_topic_score_gemma":0.0009088927,"domain_scores_codex":[0.9995694,0.00006363374,0.00001333884,0.0000714552,0.0002360018,0.00004613507],"domain_scores_gemma":[0.9997557,0.00007004596,0.00003432454,0.00002821618,0.00009740494,0.00001440389],"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":[0.000703391,0.0001505393,0.00281323,0.001015345,0.0001386493,0.001017896,0.0003964896,0.5106167,0.3135316,0.09804632,0.003871936,0.06769791],"study_design_scores_gemma":[0.00001900719,0.0001998296,0.0007262235,0.00001545197,0.00002904337,0.0001488945,0.00002502656,0.9818578,0.01156539,0.001666991,0.003726121,0.00002028409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1216108,0.001828235,0.8295758,0.0005872475,0.0003597421,0.0002084487,0.0001248173,0.0009144582,0.04479035],"genre_scores_gemma":[0.9691223,0.0003780831,0.02314208,0.00003395171,0.00004099961,0.00004476321,0.00003218888,0.00004284149,0.007162732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00354321,"threshold_uncertainty_score":0.01185316,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947554187","doi":"10.3934/jimo.2019055","title":"Differential equation approximation and enhancing control method for finding the PID gain of a quarter-car suspension model with state-dependent ODE","year":2019,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Ode; PID controller; Suspension (topology); Quarter (Canadian coin); Differential (mechanical device); Ordinary differential equation; State (computer science); Control theory (sociology); Computer science; Control (management); Differential equation; State dependent; Mathematics; Applied mathematics; Mathematical economics; Mathematical analysis; Physics; Engineering; Control engineering; Temperature control; Algorithm; Artificial intelligence","authors":[{"name":"Joseph H. W. Lee","is_ca":false},{"name":"Y. C. E. Lee","is_ca":false},{"name":"K. H. Wong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01878751383167509,"gpt":0.2197237504952958,"spread":0.2009362366636207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008458492,0.0008714753,0.0009051959,0.0004897278,0.0003396721,0.0006697841,0.0008370529,0.0009334156,0.002378074],"category_scores_gemma":[0.0008600827,0.0003578748,0.0009284114,0.0003752759,0.0005846332,0.000586913,0.0008792736,0.001269059,0.0003607516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005006424,"about_ca_system_score_gemma":0.0007921612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004022583,"about_ca_topic_score_gemma":0.002298709,"domain_scores_codex":[0.9998102,0.00005887189,0.00001086749,0.00004023626,0.00006210649,0.00001781349],"domain_scores_gemma":[0.9996852,0.0001642155,0.00004477955,0.00002216201,0.00007166167,0.00001206871],"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":[0.00004168199,0.00004782457,0.000394619,0.0001605331,0.00003429344,0.0001317932,0.000116905,0.9315119,0.009949205,0.02768069,0.0004952881,0.02943541],"study_design_scores_gemma":[0.00000306994,0.00001639105,0.00002678177,0.000003191862,0.000004378927,0.00001045159,0.000004247351,0.9983069,0.0003704935,0.0007738547,0.0004777075,0.000002484071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00456844,0.0001375216,0.9934818,0.0000348828,0.00001946582,0.00002263561,0.00001207667,0.00007329031,0.001649974],"genre_scores_gemma":[0.6853381,0.0009439062,0.3021393,0.000124515,0.00007896087,0.0005406693,0.0001504923,0.0001075058,0.01057663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004022583,"threshold_uncertainty_score":0.007998347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2359999110","doi":"","title":"Fuzzy-Rough Membership Function Neural Network Suitable for Pattern Classification","year":2007,"lang":"en","type":"article","venue":"Journal of Hunan University","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Rough set; Artificial intelligence; Artificial neural network; Fuzzy logic; Membership function; Pattern recognition (psychology); Data mining; Fuzzy set; Fuzzy classification; Classifier (UML); Neuro-fuzzy; Computer science; Machine learning; Mathematics; Fuzzy control system","authors":[{"name":"Dongbo Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02431055917836971,"gpt":0.2016348123119005,"spread":0.1773242531335308,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009709469,0.0005094281,0.0007454587,0.0006727522,0.0003701485,0.000754005,0.0007082435,0.0009523378,0.001616688],"category_scores_gemma":[0.002032184,0.0002525238,0.0006648197,0.0008805114,0.0003235034,0.001140128,0.0003038957,0.0008015995,0.0006883102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004706263,"about_ca_system_score_gemma":0.000567107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002811163,"about_ca_topic_score_gemma":0.002172493,"domain_scores_codex":[0.999435,0.0001319704,0.00003911279,0.0001133896,0.0002400858,0.0000404935],"domain_scores_gemma":[0.9996972,0.000105108,0.00001783121,0.00002886396,0.0001418745,0.000009211954],"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":[0.0002039297,0.0001089495,0.001375146,0.0002887782,0.00009519134,0.000187145,0.0001157088,0.3011478,0.02072826,0.01890151,0.004704361,0.6521432],"study_design_scores_gemma":[0.00000845574,0.00003441527,0.0003982372,0.00001563987,0.00001198223,0.00006966844,0.000009536937,0.990468,0.002339077,0.0043935,0.002238627,0.00001286867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008468142,0.0007492244,0.9875575,0.0001032861,0.00008700646,0.00006027808,0.00005046985,0.0005351459,0.002388928],"genre_scores_gemma":[0.4248334,0.001387063,0.565745,0.0001581596,0.0001487706,0.0003874868,0.0004254168,0.00007177472,0.006842864],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002811163,"threshold_uncertainty_score":0.005589545,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2360495543","doi":"","title":"Optimization of die casting processing parameters based on BP neural network and GA algorithm","year":2011,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"CAE (Canada)","funders":"","keywords":"Die casting; Casting; Die (integrated circuit); Mold; Artificial neural network; Mechanical engineering; Materials science; Finite element method; Stress (linguistics); Thermal; Process (computing); Backpropagation; Engineering; Metallurgy; Composite material; Structural engineering; Computer science; Artificial intelligence","authors":[{"name":"Quankun Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02616662472288096,"gpt":0.1948121871096886,"spread":0.1686455623868076,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007464638,0.001226861,0.0008733173,0.001055688,0.0003376171,0.0006821283,0.0008629127,0.001143024,0.001122251],"category_scores_gemma":[0.001668875,0.0006087126,0.0005024586,0.0006681834,0.000398052,0.0006046889,0.0002878697,0.0006978685,0.0002825492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008350752,"about_ca_system_score_gemma":0.0009788353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008807978,"about_ca_topic_score_gemma":0.006638546,"domain_scores_codex":[0.999697,0.00006742801,0.00001662473,0.00005694878,0.0001034145,0.00005850385],"domain_scores_gemma":[0.9994823,0.0002300869,0.00005465148,0.00002837529,0.0001858816,0.00001872009],"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":[0.0001110971,0.00007187481,0.000696513,0.00009550777,0.00002831982,0.0000457218,0.00004074314,0.9406269,0.009970721,0.0007410242,0.0003675881,0.0472041],"study_design_scores_gemma":[0.00001636663,0.00003091196,0.000323964,0.000005624496,0.00001001387,0.000007271984,0.000008227595,0.9957278,0.003486702,0.0001823134,0.0001946434,0.000006185311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1905055,0.0004746434,0.8008746,0.0001168057,0.00005761659,0.0002198922,0.00008337837,0.001273443,0.006394107],"genre_scores_gemma":[0.7632148,0.0002584541,0.233344,0.00003859018,0.00001475159,0.0003595394,0.000171608,0.0001064878,0.002491857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008807978,"threshold_uncertainty_score":0.01751345,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4293762782","doi":"10.24928/2022/0206","title":"LPS Performance Diagnosis Model Using Fuzzy Inference System","year":2022,"lang":"en","type":"article","venue":"Annual Conference of the International Group for Lean Construction","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"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":"Computer science; Fuzzy inference system; Inference; Fuzzy inference; Artificial intelligence; Fuzzy logic; Adaptive neuro fuzzy inference system; Fuzzy control system; Machine learning","authors":[{"name":"Lynn Shehab","is_ca":true},{"name":"Elyar Pourrahimian","is_ca":true},{"name":"Diana Salhab","is_ca":true},{"name":"Farook Hamzeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02937833594928119,"gpt":0.2272504352913244,"spread":0.1978720993420432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001344706,0.0009785732,0.0006479902,0.001804718,0.0007838588,0.001896896,0.001737813,0.001556507,0.00481039],"category_scores_gemma":[0.002636845,0.0003755472,0.0008985735,0.0009623707,0.0006204935,0.001079274,0.0007519413,0.0008406855,0.0008737405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445868,"about_ca_system_score_gemma":0.001549623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02987555,"about_ca_topic_score_gemma":0.01096439,"domain_scores_codex":[0.9992705,0.0001439089,0.00005549326,0.0002032397,0.0002059588,0.0001209306],"domain_scores_gemma":[0.9989931,0.000452271,0.0001411477,0.00002786414,0.000356698,0.00002901355],"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":[0.0001179549,0.00007861922,0.003757045,0.0001307396,0.00005141671,0.0002407057,0.0002633456,0.9588683,0.001376691,0.009099488,0.0008689709,0.02514664],"study_design_scores_gemma":[0.000006487592,0.00002809655,0.0005010352,0.00001197465,0.00001556806,0.00001910873,0.00003284278,0.9972282,0.0002791726,0.001560727,0.0003068546,0.000009906887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1070205,0.0005738055,0.8591088,0.0007540625,0.0001023977,0.0004089455,0.000933014,0.001460944,0.02963758],"genre_scores_gemma":[0.9650797,0.0002930938,0.02814584,0.00004112919,0.00002615044,0.0003652126,0.000371882,0.00001538964,0.005661644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02987555,"threshold_uncertainty_score":0.0594033,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043231399","doi":"10.1115/detc2008-49230","title":"Analytical Robust Design of Mechanical Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Robustness (evolution); Axiomatic design; Computer science; Linear system; Control engineering; Control theory (sociology); Design methods; Mathematical optimization; Mathematics; Engineering; Artificial intelligence; Mechanical engineering","authors":[{"name":"Jian Zhang","is_ca":false},{"name":"Peihua Gu","is_ca":true},{"name":"Nengsheng Bao","is_ca":false},{"name":"Guojun Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05890449102768279,"gpt":0.2051826137962514,"spread":0.1462781227685686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001213074,0.0009203022,0.0008350151,0.0007952471,0.0003458595,0.001198086,0.0009705201,0.0008020759,0.003661897],"category_scores_gemma":[0.002649039,0.0004115115,0.000764724,0.0005033216,0.0009601361,0.0008668586,0.0008272695,0.000780514,0.0009892894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009710333,"about_ca_system_score_gemma":0.0008148429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001306315,"about_ca_topic_score_gemma":0.001019152,"domain_scores_codex":[0.999166,0.0002340953,0.00003428539,0.0001069985,0.0004035022,0.00005502363],"domain_scores_gemma":[0.9995207,0.0002061511,0.00006896661,0.00004607488,0.0001451003,0.00001295433],"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":[0.000035137,0.00001344025,0.0000564763,0.0001970827,0.00003934271,0.00005820257,0.00004891538,0.8125464,0.006003257,0.1406984,0.001087285,0.03921604],"study_design_scores_gemma":[0.00000824909,0.00003390297,0.00003318131,0.00001482056,0.00001116946,0.00001966664,0.000005983031,0.9653915,0.001276676,0.0288433,0.004353092,0.000008376317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001520958,0.0004683028,0.9910932,0.00007481777,0.00003058203,0.0000185295,0.00002294268,0.0001730057,0.006597704],"genre_scores_gemma":[0.6729094,0.003067354,0.3058155,0.0001988067,0.0002580701,0.000437578,0.0002476759,0.0002448112,0.01682076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003661897,"threshold_uncertainty_score":0.0122503,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400485143","doi":"10.61091/jcmcc120-21","title":"Clustering Integrated Fusion Model Based on the Maximum Matching Problem","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cluster analysis; Matching (statistics); Computer science; Fusion; Artificial intelligence; Data mining; Pattern recognition (psychology); Mathematics; Statistics","authors":[{"name":"Huiling Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01254846612677343,"gpt":0.2208852018162516,"spread":0.2083367356894782,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002589164,0.0008869692,0.00191236,0.001418984,0.0009436201,0.001838649,0.003659281,0.002305908,0.004601076],"category_scores_gemma":[0.005190833,0.0005402458,0.001432596,0.002220571,0.001224353,0.004659911,0.002609568,0.001700005,0.001359734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826471,"about_ca_system_score_gemma":0.001350862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003710618,"about_ca_topic_score_gemma":0.003069283,"domain_scores_codex":[0.998528,0.0003372172,0.00007629549,0.000526855,0.0003619518,0.0001696526],"domain_scores_gemma":[0.9984545,0.0006068873,0.0002047945,0.0002249255,0.000414555,0.00009430249],"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":[0.0001415778,0.00008250428,0.0006870432,0.0001440125,0.0000979487,0.0001197083,0.0001893086,0.810075,0.003140326,0.08415908,0.003349012,0.09781441],"study_design_scores_gemma":[0.000004301975,0.00001677163,0.00006748018,0.000003934093,0.000008201232,0.00001639231,0.00001415291,0.9823275,0.0003708064,0.01672443,0.0004400703,0.000006015441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009184257,0.0001866628,0.9876616,0.0002087886,0.00003529173,0.00005587982,0.00009900794,0.0002818481,0.002286685],"genre_scores_gemma":[0.6513752,0.0004858882,0.3355099,0.0002851965,0.000125393,0.0003246623,0.0006976682,0.000259773,0.0109362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004601076,"threshold_uncertainty_score":0.01539207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3104306602","doi":"","title":"Equivariant Networks for Hierarchical Structures","year":2020,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Equivariant map; Computer science; Algebra over a field; Theoretical computer science; Mathematics; Pure mathematics","authors":[{"name":"Renhao Wang","is_ca":true},{"name":"Marjan Albooyeh","is_ca":true},{"name":"Siamak Ravanbakhsh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02292366611428254,"gpt":0.2243336720813768,"spread":0.2014100059670943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005002174,0.0004354732,0.0005374974,0.0008921309,0.0004640237,0.00113121,0.0009933459,0.0008918126,0.00426868],"category_scores_gemma":[0.002891484,0.0003527865,0.0004901103,0.0004911792,0.001173472,0.002566766,0.001641503,0.001565727,0.0005716891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000941905,"about_ca_system_score_gemma":0.0003970039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736738,"about_ca_topic_score_gemma":0.002192656,"domain_scores_codex":[0.9996562,0.0001052319,0.00001594419,0.0001017884,0.00007615265,0.00004468969],"domain_scores_gemma":[0.9991214,0.0003599848,0.0001230056,0.0001675803,0.000125036,0.0001029721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003015644,0.00001683158,0.0002890774,0.00003419852,0.00001907838,0.00004801471,0.00007469672,0.05129699,0.001955874,0.9236351,0.001168652,0.0214314],"study_design_scores_gemma":[0.000003848,0.00001001602,0.0001695155,0.000004439009,0.000004016859,0.00001696746,0.00001357035,0.2395703,0.0003550147,0.7584458,0.001399972,0.000006450392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05888642,0.000530629,0.9228561,0.0006111502,0.00007970446,0.00003057364,0.0002043351,0.0004783216,0.01632279],"genre_scores_gemma":[0.8819358,0.0006140821,0.09576841,0.0002593171,0.0001845167,0.00007872906,0.0005053976,0.0002203419,0.02043338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00426868,"threshold_uncertainty_score":0.01428014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283756050","doi":"10.1109/tuffc.2022.3182263","title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"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":"Automatic frequency control; Acoustics; Materials science; Electronic engineering; Electrical engineering; Engineering; Physics","authors":[{"name":"Mark Schafer -President","is_ca":true},{"name":"Dragan Damjanovic -President-Elect","is_ca":true},{"name":"Dan Stevens","is_ca":true},{"name":"Steven Freear","is_ca":true},{"name":"Alfred C. H. Yu","is_ca":true},{"name":"Pascale Defraigne","is_ca":true},{"name":"Chris L. de Korte","is_ca":true},{"name":"Caterina M. Gallippi","is_ca":true},{"name":"Damien Garcia","is_ca":true},{"name":"Jonathan Mamou","is_ca":true},{"name":"Andrew Mathieson","is_ca":true},{"name":"Robert J. McGough","is_ca":true},{"name":"Matteo Rinaldi","is_ca":true},{"name":"Hassan Rivaz","is_ca":true},{"name":"Jessica Liu Strohmann","is_ca":true},{"name":"Danyang Wang","is_ca":true},{"name":"Qing Wang","is_ca":true},{"name":"Zhen Xu","is_ca":true},{"name":"Shujun Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008817079058332598,"gpt":0.191595186418589,"spread":0.1827781073602564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009854434,0.0007246714,0.000845144,0.0009187965,0.0005389166,0.00149325,0.0007598936,0.001472553,0.02981597],"category_scores_gemma":[0.002209173,0.0002120535,0.0003812572,0.0009363662,0.0009338332,0.001099949,0.0009487963,0.001186739,0.01046312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005802126,"about_ca_system_score_gemma":0.0008854981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001643341,"about_ca_topic_score_gemma":0.001877971,"domain_scores_codex":[0.9990306,0.00015764,0.00006230179,0.0001053314,0.0005483261,0.00009585306],"domain_scores_gemma":[0.9988356,0.0002644421,0.00006493853,0.0001961699,0.0005674649,0.00007137919],"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":[0.0003356225,0.0001065437,0.001728926,0.0005810977,0.00008195487,0.0004553487,0.0002575883,0.005192539,0.02376132,0.06221625,0.1838136,0.7214692],"study_design_scores_gemma":[0.00002038408,0.0001482064,0.001535392,0.0001783008,0.0000418277,0.0008661505,0.0001133691,0.01491191,0.006422829,0.01694638,0.9587725,0.00004271373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0145388,0.1066574,0.4413533,0.01065959,0.03874449,0.0002670175,0.0007805949,0.002075556,0.3849232],"genre_scores_gemma":[0.297415,0.0788906,0.1048311,0.003516483,0.00831196,0.000364797,0.001837109,0.000375928,0.5044571],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.970184,"threshold_uncertainty_score":0.09974438,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362731246","doi":"","title":"Stabilization of an Inverted Robot Arm Using Neuro-Controller","year":2013,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Robot; Robotic arm; Controller (irrigation); Computer science; Control theory (sociology); Artificial intelligence; Biology; Control (management)","authors":[{"name":"Fouad F. Khalil","is_ca":true},{"name":"Eman F. Khalil","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2151497588352478,"gpt":0.4735877413662341,"spread":0.2584379825309863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001829776,0.0002856113,0.0001819433,0.0001680517,0.000302287,0.0003168716,0.0003626578,0.0003687557,0.0007935918],"category_scores_gemma":[0.0002906215,0.000119217,0.0001601574,0.00009710929,0.0003403799,0.0001451894,0.0002991465,0.0002255359,0.0001618221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877789,"about_ca_system_score_gemma":0.0003797023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240162,"about_ca_topic_score_gemma":0.003633511,"domain_scores_codex":[0.999921,0.00001229163,0.000004663348,0.00002080617,0.00002977872,0.00001142633],"domain_scores_gemma":[0.9998896,0.00002421478,0.00002454254,0.00001032797,0.00004491322,0.000006393573],"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":[0.00033263,0.0001438568,0.001731171,0.0002521671,0.00007148743,0.000444849,0.000242271,0.6634024,0.1853469,0.00530836,0.001652056,0.1410718],"study_design_scores_gemma":[0.00001401168,0.0001452961,0.000618742,0.00001115337,0.00001053463,0.00003382477,0.00001277748,0.986886,0.01084682,0.0004416519,0.0009715193,0.000007656936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2702115,0.0004470541,0.7089193,0.0003330848,0.0001260949,0.0001793283,0.00005098173,0.001023649,0.01870899],"genre_scores_gemma":[0.973314,0.00007254628,0.02392107,0.00004133689,0.00001161972,0.00007040841,0.00001887553,0.000006115202,0.002544006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003240162,"threshold_uncertainty_score":0.006442606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410510700","doi":"10.1371/journal.pcbi.1013626","title":"Surrogate modeling of Cellular-Potts agent-based models as a segmentation task using the U-Net neural network architecture","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Perimeter Institute; TRIUMF","funders":"Advanced Scientific Computing Research; National Institute of General Medical Sciences; National Science Foundation","keywords":"Task (project management); Segmentation; Artificial intelligence; Computer science; Artificial neural network; Net (polyhedron); Architecture; Potts model; Machine learning; Mathematics; Economics; Geography; Statistical physics; Physics","authors":[{"name":"Tien Comlekoglu","is_ca":false},{"name":"J. Quetzalcóatl Toledo-Marín","is_ca":true},{"name":"Tina Comlekoglu","is_ca":false},{"name":"Douglas W. DeSimone","is_ca":false},{"name":"Shayn M. Peirce","is_ca":false},{"name":"Geoffrey Fox","is_ca":false},{"name":"James A. Glazier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02729474433422901,"gpt":0.2386168564818279,"spread":0.2113221121475989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004503398,0.000531302,0.0006217248,0.0003186022,0.0003530024,0.0007263141,0.001033526,0.00142429,0.001938194],"category_scores_gemma":[0.001517079,0.000403399,0.0005362688,0.0002935284,0.0006748314,0.0007498211,0.0007093388,0.0009609131,0.0002431491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155257,"about_ca_system_score_gemma":0.001088627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008823311,"about_ca_topic_score_gemma":0.006671858,"domain_scores_codex":[0.9998808,0.00003594435,0.000005498614,0.00002569508,0.00002990929,0.00002213253],"domain_scores_gemma":[0.9995558,0.0002505362,0.00004908299,0.00002870882,0.00007072218,0.00004506024],"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":[0.00001035564,0.000006441698,0.0001363236,0.000006880761,0.000003693185,0.00001568573,0.000006685192,0.9956232,0.0003933207,0.00233241,0.0001072596,0.001357785],"study_design_scores_gemma":[6.593376e-7,0.00000174081,0.00001095381,5.951281e-7,3.868925e-7,0.000001162256,5.56796e-7,0.9994554,0.00005398561,0.0004371156,0.0000370532,4.921895e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1718379,0.0003883337,0.8151268,0.0006748714,0.00009912784,0.00006879874,0.0002569168,0.0007955111,0.01075183],"genre_scores_gemma":[0.9241824,0.0001792548,0.06904627,0.0001572165,0.00002922506,0.0001710982,0.0002915851,0.000102515,0.005840338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008823311,"threshold_uncertainty_score":0.01754391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011235829","doi":"10.1002/cjce.20398","title":"Modelling of a clinker rotary kiln using operating functions concept","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"Université Laval; Centre de Recherche Industrielle du Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Cement Association of Canada","keywords":"Kiln; Clinker (cement); Rotary kiln; Representation (politics); Control theory (sociology); Process (computing); State-space representation; Control engineering; Computer science; State space; State variable; Engineering; Mechanical engineering; Control (management); Mathematics; Algorithm; Cement","authors":[{"name":"Kyarash Shahriari","is_ca":true},{"name":"S. Tarasiewicz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0184474088723107,"gpt":0.1855364915123965,"spread":0.1670890826400858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002347517,0.0005491119,0.0004711683,0.000377103,0.0004518939,0.001307494,0.0006404207,0.0008995802,0.001612185],"category_scores_gemma":[0.0003521671,0.000242201,0.0004418346,0.0002687766,0.0008566876,0.0007025925,0.0004727042,0.000429027,0.0002138221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006095231,"about_ca_system_score_gemma":0.0006133594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006832878,"about_ca_topic_score_gemma":0.003110074,"domain_scores_codex":[0.9998418,0.00004275867,0.000007986632,0.00004144716,0.00004877926,0.00001726615],"domain_scores_gemma":[0.9998896,0.00004840944,0.00002249596,0.00001145898,0.00001983373,0.000008244227],"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":[0.00002883681,0.000009046937,0.0003434559,0.00002548587,0.000006499885,0.0001154985,0.00004657846,0.9885218,0.004767763,0.003930651,0.00005901674,0.002145365],"study_design_scores_gemma":[0.000005178596,0.00002444408,0.0003149331,0.000006130025,0.00000464101,0.00002993857,0.00002076658,0.9965461,0.001224413,0.00116538,0.0006499479,0.00000807666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3316333,0.0006600335,0.6432135,0.0002539089,0.00004992468,0.00009881222,0.000217415,0.0006179838,0.02325515],"genre_scores_gemma":[0.9920513,0.0001502515,0.005397865,0.000007322551,0.000003908602,0.00003244605,0.00003472146,0.00001509758,0.002307215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006832878,"threshold_uncertainty_score":0.01358616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395962253","doi":"10.18280/jesa.570212","title":"Position Control and Anti-Sway of Overhead Crane System with Uncertain Nonlinear Model","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Overhead crane; Control theory (sociology); Position (finance); Nonlinear model; Nonlinear system; Overhead (engineering); Control (management); Computer science; Control engineering; Engineering; Artificial intelligence; Structural engineering; Economics; Physics; Operating system","authors":[{"name":"Le Van Anh","is_ca":false},{"name":"Vu Thi To Linh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01072661573615216,"gpt":0.2190798380757998,"spread":0.2083532223396477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000470973,0.000887731,0.0008328934,0.0002525267,0.000599411,0.0009499839,0.0007996593,0.000799909,0.001652019],"category_scores_gemma":[0.0009134101,0.0003963441,0.0004597957,0.0002565988,0.000656952,0.0004762752,0.0007835642,0.0008343697,0.0002469441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004986775,"about_ca_system_score_gemma":0.0007386996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983602,"about_ca_topic_score_gemma":0.008918162,"domain_scores_codex":[0.9996749,0.00005600633,0.00002127545,0.0001032703,0.00008258371,0.00006184869],"domain_scores_gemma":[0.9996083,0.0001177366,0.00009270503,0.00002405057,0.000135691,0.00002143815],"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":[0.0002093652,0.00003409924,0.0009760131,0.0001957461,0.00006086748,0.0002565433,0.000178452,0.9636171,0.007475171,0.003229097,0.0007522021,0.02301535],"study_design_scores_gemma":[0.00001308197,0.00007459629,0.0002686979,0.000005508656,0.000009987775,0.00001800229,0.00001300741,0.9986583,0.000446864,0.000212831,0.0002733617,0.000005680008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1710031,0.001032489,0.8101286,0.0004417673,0.0002350596,0.00008810112,0.0001123242,0.0006439316,0.0163147],"genre_scores_gemma":[0.9930763,0.0001882088,0.003840923,0.00002237256,0.00002069463,0.0000395785,0.00003360166,0.000007973896,0.002770468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01983602,"threshold_uncertainty_score":0.03944111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411408501","doi":"10.1109/tie.2025.3572927","title":"Hybrid Power Control Strategy for Electromechanical Braking System Based on Sliding Mode Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Sliding mode control; Control theory (sociology); Mode (computer interface); Dynamic braking; Power (physics); Automotive engineering; Control (management); Control engineering; Engineering; Computer science; Materials science; Brake; Physics; Nonlinear system","authors":[{"name":"Yiyun Zhao","is_ca":false},{"name":"Fanbiao Li","is_ca":false},{"name":"Bingqiang Li","is_ca":false},{"name":"Yang Shi","is_ca":true},{"name":"Ligang Wu","is_ca":false},{"name":"Chunhua Yang","is_ca":false},{"name":"Weihua Gui","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01868300396867189,"gpt":0.2346754508149778,"spread":0.2159924468463059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002377561,0.0006240928,0.0004262891,0.0003081573,0.0002726364,0.0005048927,0.0007208981,0.0003487573,0.001785254],"category_scores_gemma":[0.0002934369,0.0001809727,0.0003080783,0.0002271412,0.0003628869,0.0006752531,0.0005589321,0.0004188526,0.0002137127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050221,"about_ca_system_score_gemma":0.0002857892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147841,"about_ca_topic_score_gemma":0.001398546,"domain_scores_codex":[0.9998003,0.00002797759,0.00001589037,0.00005900458,0.00007649352,0.0000203873],"domain_scores_gemma":[0.999889,0.0000246328,0.00001757257,0.00001147598,0.00004919877,0.000008121549],"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":[0.0004078832,0.0001548912,0.0009538822,0.000835191,0.0001490336,0.0004766533,0.0005894578,0.4111869,0.1338388,0.03536956,0.002960408,0.4130774],"study_design_scores_gemma":[0.0000603855,0.0004188733,0.0004101899,0.00001695602,0.00002517708,0.0000886273,0.00003406556,0.9860941,0.00685531,0.002868237,0.003112836,0.00001525975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01964615,0.0003966384,0.9749531,0.00007214263,0.00007740276,0.00004779637,0.000009992813,0.0003384927,0.004458412],"genre_scores_gemma":[0.96015,0.0003791716,0.03400958,0.00006784227,0.00004956872,0.0001243588,0.0000328296,0.00002352863,0.005163017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001785254,"threshold_uncertainty_score":0.005972266,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2380617753","doi":"","title":"Reliability Allocation of Crank Mechanism Based on GA","year":2007,"lang":"en","type":"article","venue":"Neiranji gongcheng","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Reliability (semiconductor); Crank; Constraint (computer-aided design); Function (biology); Mathematical optimization; Mechanism (biology); Genetic algorithm; Reliability engineering; Computer science; Production (economics); Engineering; Mathematics; Economics; Artificial intelligence","authors":[{"name":"Xiaojin Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009649742678582736,"gpt":0.2076047953506461,"spread":0.1979550526720634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545637,0.0007299804,0.0008929014,0.0009050312,0.0004167326,0.0006868136,0.001185113,0.0006488582,0.001423546],"category_scores_gemma":[0.001027695,0.000518513,0.0007484818,0.0007761303,0.0005567707,0.0007415451,0.0004393566,0.0005315092,0.0001709225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002161,"about_ca_system_score_gemma":0.001264162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009814015,"about_ca_topic_score_gemma":0.004785346,"domain_scores_codex":[0.9996048,0.0001111686,0.00001487489,0.00008701387,0.0001132898,0.00006885885],"domain_scores_gemma":[0.9997531,0.00008271675,0.00003309783,0.00003347207,0.00008337379,0.00001418568],"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":[0.00002452597,0.000008694625,0.0002177059,0.00003454486,0.00001159196,0.00002543821,0.00001931146,0.9835721,0.001485423,0.004069561,0.0001914132,0.01033972],"study_design_scores_gemma":[0.000007819947,0.00001772767,0.0001223232,0.000004333243,0.000007801415,0.00001340429,0.0000057036,0.9976571,0.0004387368,0.00144351,0.0002759841,0.000005664797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1010793,0.0007205238,0.8877234,0.0001195809,0.00004847595,0.00008841569,0.00005078976,0.0005568541,0.009612634],"genre_scores_gemma":[0.9280897,0.0005129757,0.06779388,0.00002357391,0.00001432457,0.0001158426,0.00005503234,0.0000577047,0.003336884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009814015,"threshold_uncertainty_score":0.01951379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2908758818","doi":"10.3166/ejee.20.573-588","title":"Reliability analysis and matpower simulation of IEEE14 node based on mixed entropy measure","year":2018,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Reliability engineering; Computer science; Reliability (semiconductor); Data mining; Thermodynamics; Physics; Engineering","authors":[{"name":"Zhenhua Shao","is_ca":false},{"name":"Zhixiong Zhong","is_ca":false},{"name":"Wenzhong Lin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006747362385428986,"gpt":0.1898909978001546,"spread":0.1831436354147257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000400983,0.0003681595,0.0004842812,0.0005444436,0.0003232303,0.000352837,0.0006935152,0.000503112,0.003129516],"category_scores_gemma":[0.001324509,0.0002022563,0.0005111436,0.0004881221,0.0003268363,0.0006086827,0.0002210397,0.0003975495,0.0001825728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005735778,"about_ca_system_score_gemma":0.0003690295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006820075,"about_ca_topic_score_gemma":0.004769338,"domain_scores_codex":[0.9998424,0.00006293021,0.000004773912,0.00002202329,0.00003409749,0.00003370384],"domain_scores_gemma":[0.9992301,0.0004902624,0.00004510063,0.00005622604,0.0001497206,0.00002854439],"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":[0.00003168468,0.00001218056,0.0007406297,0.00001766224,0.000009705654,0.00004188956,0.00002890039,0.9945855,0.000645232,0.002227922,0.0002333822,0.001425345],"study_design_scores_gemma":[0.000001281775,0.00000937167,0.0002154085,0.000001179582,0.000002571325,0.000003843353,0.000005445961,0.9991893,0.0001574039,0.0003683983,0.00004436074,0.000001465321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8779222,0.000311564,0.1047529,0.0002903077,0.0000658737,0.00003895495,0.0004033755,0.0005031048,0.01571191],"genre_scores_gemma":[0.9961448,0.00003161281,0.002539935,0.000008946835,0.000005273868,0.00001459214,0.00006481684,0.00002410426,0.001166008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006820075,"threshold_uncertainty_score":0.01356077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4237534774","doi":"10.1109/tuffc.2021.3094398","title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Automatic frequency control; Materials science; Acoustics; Electronic engineering; Electrical engineering; Engineering; Physics","authors":[{"name":"Paul Reynolds -President","is_ca":true},{"name":"Mark Schafer -President-Elect","is_ca":true},{"name":"Dan Stevens","is_ca":true},{"name":"Peter A. Lewin","is_ca":true},{"name":"Alfred C. H. Yu","is_ca":true},{"name":"T. S. Bigelow","is_ca":true},{"name":"Giorgio Santarelli","is_ca":true},{"name":"Jia Liu","is_ca":true},{"name":"Jean‐François Aubry","is_ca":true},{"name":"Joseph S. Chang","is_ca":true},{"name":"Michael J. Driscoll","is_ca":true},{"name":"H. Hasegawa","is_ca":true},{"name":"Robert J. McGough","is_ca":true},{"name":"Gerd Schmitz","is_ca":true},{"name":"Gabriel Silva","is_ca":true},{"name":"A Van Der Steen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009291326464701684,"gpt":0.1973246490191994,"spread":0.1880333225544978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009821507,0.0007239584,0.0008458791,0.0009162714,0.0005372881,0.001486418,0.0007613678,0.001471665,0.02960864],"category_scores_gemma":[0.002205093,0.0002113285,0.0003797634,0.0009404178,0.0009321362,0.001100835,0.0009466878,0.001182001,0.01040819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779896,"about_ca_system_score_gemma":0.0008812207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637982,"about_ca_topic_score_gemma":0.001870221,"domain_scores_codex":[0.9990325,0.0001577647,0.00006198413,0.0001052505,0.0005467241,0.0000958366],"domain_scores_gemma":[0.9988372,0.0002646037,0.00006491807,0.000195565,0.0005667621,0.00007104477],"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":[0.0003337792,0.0001062457,0.001726478,0.0005841299,0.00008154407,0.0004544521,0.0002580225,0.005198291,0.02376249,0.06241957,0.1840791,0.7209958],"study_design_scores_gemma":[0.0000202603,0.0001475247,0.001529617,0.0001778146,0.00004150377,0.000861378,0.0001127387,0.01497928,0.006430167,0.01689211,0.958765,0.00004266064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01457759,0.1069261,0.4422854,0.01062484,0.03868814,0.0002662172,0.000779476,0.002063311,0.3837888],"genre_scores_gemma":[0.2977578,0.07951548,0.1053558,0.003490196,0.008324368,0.0003656882,0.001851685,0.0003754624,0.5029634],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9703913,"threshold_uncertainty_score":0.09905076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}