{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":180,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":180,"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":"9536d4106771","filters":{"venue":"ISA Transactions"}},"results":[{"id":"W3126827950","doi":"10.1016/j.isatra.2021.01.036","title":"A survey on attack detection, estimation and control of industrial cyber–physical systems","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":303,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cyber-physical system; Industrial control system; Computer security; Denial-of-service attack; Computer science; Deception; Control system security; Control (management); Risk analysis (engineering); Engineering; Information security; Business; Security service","authors":[{"name":"Dan Zhang","is_ca":false},{"name":"Qing‐Guo Wang","is_ca":false},{"name":"Gang Feng","is_ca":false},{"name":"Yang Shi","is_ca":true},{"name":"Athanasios V. Vasilakos","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02460342417615895,"gpt":0.2378797448396509,"spread":0.2132763206634919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305222,0.001233577,0.001879022,0.002314267,0.0003580949,0.001972909,0.001259621,0.00118052,0.001984919],"category_scores_gemma":[0.003351968,0.0006078268,0.0009316524,0.004022392,0.0004898751,0.00232855,0.0008802824,0.001026776,0.0009272511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006126071,"about_ca_system_score_gemma":0.00109149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234016,"about_ca_topic_score_gemma":0.001601222,"domain_scores_codex":[0.9987298,0.0002565974,0.0001643034,0.0003068504,0.0004641666,0.00007825912],"domain_scores_gemma":[0.9978558,0.001323696,0.0001591725,0.0001950958,0.0004150712,0.00005111506],"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":[0.000126063,0.0001644778,0.002957501,0.004753881,0.0001788745,0.00009508073,0.00008130498,0.0350814,0.00261101,0.01791733,0.00965367,0.9263795],"study_design_scores_gemma":[0.00006139896,0.001190643,0.01238999,0.003084094,0.0005730628,0.001474839,0.0004151145,0.4530822,0.01055169,0.0829121,0.4340969,0.0001680257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007588034,0.6535761,0.3267237,0.001304306,0.0007848835,0.00007767041,0.0003094143,0.0003527759,0.009283113],"genre_scores_gemma":[0.1379775,0.7549017,0.09525897,0.0009107749,0.00394793,0.0001406711,0.00114836,0.00008056957,0.005633574],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002314267,"threshold_uncertainty_score":0.006902754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2556180563","doi":"10.1016/j.isatra.2016.11.002","title":"Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation","year":2016,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":205,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Synchronization (alternating current); Controller (irrigation); Bernoulli's principle; Nonlinear system; Estimator; Mathematics; Chaotic; Bernoulli distribution; Noise (video); Computer science; Synchronization of chaos; Control (management); Engineering; Topology (electrical circuits); Random variable; Artificial intelligence","authors":[{"name":"Kaibo Shi","is_ca":false},{"name":"Yuanyan Tang","is_ca":false},{"name":"Xinzhi Liu","is_ca":true},{"name":"Shouming Zhong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02782093396279787,"gpt":0.2368091579609604,"spread":0.2089882239981625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006494732,0.0004226424,0.0004671419,0.0002294479,0.000278237,0.0006056547,0.0004917901,0.0005217919,0.0005119445],"category_scores_gemma":[0.003190221,0.0002195155,0.0002966102,0.0001719727,0.0006721977,0.0005829594,0.0005594819,0.0004504311,0.00005169371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004255883,"about_ca_system_score_gemma":0.0002868152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593022,"about_ca_topic_score_gemma":0.001127988,"domain_scores_codex":[0.9997414,0.00005595432,0.00001781187,0.00007970547,0.00007560252,0.00002958472],"domain_scores_gemma":[0.999099,0.0004140441,0.0002309321,0.0000943075,0.0001281359,0.00003360782],"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":[0.001165856,0.0000731274,0.004946446,0.0002177309,0.0002101123,0.000987778,0.0004019695,0.8857756,0.04648804,0.02919062,0.0005420953,0.03000071],"study_design_scores_gemma":[0.00001150702,0.00005576507,0.0008967513,0.000003657011,0.00001129475,0.00003273752,0.00001342175,0.9953942,0.002156124,0.001323186,0.00009345316,0.000007839489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6430475,0.0002562584,0.3537962,0.0002510299,0.00008336012,0.00003408411,0.00006535676,0.0001773825,0.002288897],"genre_scores_gemma":[0.9983212,0.00002342996,0.00131836,0.000006170632,0.000004771347,0.000006174217,0.00001159272,0.000003073236,0.0003052567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001593022,"threshold_uncertainty_score":0.003434777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3034898916","doi":"10.1016/j.isatra.2020.06.006","title":"Backstepping-based adaptive control of a quadrotor UAV with guaranteed tracking performance","year":2020,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":161,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Backstepping; Control theory (sociology); Lyapunov function; Parametric statistics; Adaptive control; Tracking error; Computer science; Transient (computer programming); Trajectory; Control engineering; Engineering; Mathematics; Control (management); Nonlinear system; Artificial intelligence","authors":[{"name":"Nasrettin Köksal","is_ca":true},{"name":"Hao An","is_ca":false},{"name":"Barış Fi̇dan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01970237473118341,"gpt":0.1905794882557668,"spread":0.1708771135245833,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001665576,0.0004434393,0.0003752956,0.0001639492,0.0002810058,0.0004347708,0.0004190587,0.0005850802,0.001141885],"category_scores_gemma":[0.0004139529,0.0001500114,0.000206866,0.0001594982,0.0003648373,0.0002154073,0.0005353999,0.000361261,0.0001834871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934504,"about_ca_system_score_gemma":0.0003462127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005552067,"about_ca_topic_score_gemma":0.002617874,"domain_scores_codex":[0.9999059,0.00001633559,0.000004759137,0.00002719393,0.00003218027,0.00001354679],"domain_scores_gemma":[0.9998732,0.00003717635,0.00002317046,0.00001197372,0.0000409655,0.00001356275],"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":[0.0004132746,0.00008361336,0.001234466,0.000228429,0.00006126105,0.0007525895,0.0001852632,0.8615885,0.07606021,0.005237367,0.001476462,0.05267849],"study_design_scores_gemma":[0.00001726594,0.000155752,0.0003349506,0.000003310572,0.000005033842,0.00003347588,0.00001019072,0.9972519,0.001578687,0.0003259439,0.0002792709,0.000004278747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2713088,0.0004531009,0.7153268,0.0003958195,0.0002314734,0.00008953275,0.00009864008,0.0004308586,0.01166486],"genre_scores_gemma":[0.9896353,0.0000634693,0.008209161,0.00002742502,0.00001322102,0.00003121607,0.00002277014,0.000008028871,0.001989372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005552067,"threshold_uncertainty_score":0.0110395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094645401","doi":"10.1016/j.isatra.2020.10.060","title":"Adaptive variational mode decomposition and its application to multi-fault detection using mechanical vibration signals","year":2020,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":137,"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":"China Scholarship Council; Jilin University","keywords":"Vibration; Fault (geology); Decoupling (probability); Control theory (sociology); Redundancy (engineering); Algorithm; Computer science; Envelope (radar); Engineering; Artificial intelligence; Control engineering; Acoustics; Reliability engineering","authors":[{"name":"Xiuzhi He","is_ca":true},{"name":"Xiaoqin Zhou","is_ca":false},{"name":"Wennian Yu","is_ca":false},{"name":"Yixuan J. Hou","is_ca":false},{"name":"Chris K. Mechefske","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02592756236967737,"gpt":0.3213284499542172,"spread":0.2954008875845399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004107006,0.0003384698,0.0003126283,0.0003279518,0.0001260321,0.0003139859,0.0003924452,0.0004799888,0.001288604],"category_scores_gemma":[0.001289334,0.0001998453,0.0003695632,0.0003005327,0.0002515971,0.0003920231,0.0003531833,0.0005193338,0.0002110011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395662,"about_ca_system_score_gemma":0.0002240209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001274506,"about_ca_topic_score_gemma":0.001178922,"domain_scores_codex":[0.999896,0.0000352977,0.00000537296,0.00002289774,0.0000296368,0.00001069966],"domain_scores_gemma":[0.999617,0.0002633624,0.00002666635,0.00002558959,0.00005481268,0.00001258446],"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":[0.0002665367,0.0001210717,0.001217769,0.0001988971,0.0000862685,0.000130167,0.0001285122,0.4284023,0.09189242,0.03680228,0.001030712,0.4397232],"study_design_scores_gemma":[0.000001189098,0.0000113999,0.0001500224,0.000001555287,0.000001839482,0.00001100419,0.000002181264,0.9973577,0.001035758,0.001275462,0.0001491853,0.000002695823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01039883,0.000126243,0.9889498,0.00003997124,0.0000213401,0.000006879107,0.00001133426,0.00005737767,0.0003882354],"genre_scores_gemma":[0.5991312,0.0004105364,0.3971614,0.00004809459,0.00004701634,0.00005163927,0.00006963192,0.00007354021,0.003006918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001288604,"threshold_uncertainty_score":0.004310787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072011083","doi":"10.1016/j.isatra.2012.03.005","title":"Improved correlation analysis and visualization of industrial alarm data","year":2012,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Tsinghua National Laboratory for Information Science and Technology","keywords":"ALARM; Computer science; Data mining; Artificial intelligence; Pattern recognition (psychology); Engineering","authors":[{"name":"Fan Yang","is_ca":true},{"name":"S.L. Shah","is_ca":true},{"name":"Tongwen Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02848040309679186,"gpt":0.2594394231340259,"spread":0.230959020037234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377306,0.0009718084,0.0008930299,0.002886349,0.0004607677,0.001972441,0.0007466819,0.0005774554,0.005785039],"category_scores_gemma":[0.006564651,0.000442586,0.0007130822,0.003013213,0.0002262882,0.001361451,0.001168416,0.001084342,0.001257666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867924,"about_ca_system_score_gemma":0.001298098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322512,"about_ca_topic_score_gemma":0.00500101,"domain_scores_codex":[0.9990004,0.000272437,0.00008570364,0.000135275,0.0003909025,0.000115356],"domain_scores_gemma":[0.9958131,0.001955438,0.0003367696,0.0006821305,0.001084283,0.0001282361],"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":[0.001296822,0.0003321613,0.01041519,0.0004597204,0.0002271878,0.0006722332,0.0006249289,0.0501825,0.1166638,0.008135147,0.02699477,0.7839954],"study_design_scores_gemma":[0.00006397093,0.0001132556,0.0106664,0.0000351952,0.00008492303,0.0004690614,0.0001018404,0.926876,0.04777653,0.003947034,0.009777975,0.00008793345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08456337,0.000733278,0.8907108,0.0005669958,0.0001735945,0.00007160092,0.001473746,0.01933594,0.002370633],"genre_scores_gemma":[0.4185699,0.0006040453,0.5738746,0.0001340746,0.0001919983,0.0001173942,0.00235811,0.001585054,0.002564893],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005785039,"threshold_uncertainty_score":0.01935291,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3178224742","doi":"10.1016/j.isatra.2021.07.011","title":"Improved Hilbert–Huang transform with soft sifting stopping criterion and its application to fault diagnosis of wheelset bearings","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hilbert–Huang transform; Demodulation; SIGNAL (programming language); Fault (geology); Hilbert transform; Process (computing); Computer science; Vibration; Instantaneous phase; Control theory (sociology); Pattern recognition (psychology); Artificial intelligence; Speech recognition; Engineering; Acoustics; Computer vision; Spectral density; Telecommunications; Physics","authors":[{"name":"Zhiliang Liu","is_ca":false},{"name":"Dandan Peng","is_ca":false},{"name":"Ming J. Zuo","is_ca":true},{"name":"Jianshuo Xia","is_ca":false},{"name":"Yong Qin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007203051100947655,"gpt":0.2466156621720161,"spread":0.2394126110710685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226003,0.0003151913,0.000464456,0.0005559463,0.0001866289,0.000382809,0.0003638775,0.0005177447,0.0009118767],"category_scores_gemma":[0.001059159,0.0001407279,0.0003355054,0.0004893846,0.0003435421,0.0005968499,0.0002655818,0.0003587409,0.0001967277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827177,"about_ca_system_score_gemma":0.000384461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497765,"about_ca_topic_score_gemma":0.001136001,"domain_scores_codex":[0.9997657,0.00004703383,0.00001570019,0.00003710159,0.0001162926,0.00001813254],"domain_scores_gemma":[0.9996186,0.0001747064,0.00003126875,0.00002923066,0.0001304858,0.00001567493],"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":[0.0006402575,0.0001611471,0.002256037,0.0003780698,0.0001131834,0.0003610448,0.0002497378,0.2067489,0.1778258,0.02385245,0.001705575,0.5857077],"study_design_scores_gemma":[0.000008421104,0.00009790472,0.0009204027,0.000003207308,0.00001550312,0.0001039699,0.00001227134,0.9868438,0.009768086,0.001546436,0.0006682644,0.00001186866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05533618,0.0004625714,0.9428236,0.0000930154,0.00004503915,0.00001475721,0.00002802364,0.0002714299,0.000925359],"genre_scores_gemma":[0.8372863,0.0003195349,0.1600846,0.00003186556,0.00006422629,0.00002071488,0.000093521,0.00004179129,0.002057493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001497765,"threshold_uncertainty_score":0.003050566,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995004530","doi":"10.1016/j.isatra.2011.06.005","title":"Identification and adaptive neural network control of a DC motor system with dead-zone characteristics","year":2011,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Artificial neural network; PID controller; Computer science; Controller (irrigation); Adaptive control; Identifier; Feed forward; Feedforward neural network; System identification; DC motor; Control engineering; Engineering; Control (management); Artificial intelligence; Temperature control; Data modeling","authors":[{"name":"Jinzhu Peng","is_ca":true},{"name":"Rickey Dubay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01263020084720669,"gpt":0.1786214543764336,"spread":0.1659912535292269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002936751,0.0004125473,0.0003175146,0.0002143142,0.0003782342,0.000459939,0.0004559368,0.000553545,0.0009582196],"category_scores_gemma":[0.000882987,0.0002078026,0.0001758342,0.0002146836,0.0003685267,0.0004062908,0.0003462714,0.000407572,0.0001199466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661572,"about_ca_system_score_gemma":0.0003527882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006470141,"about_ca_topic_score_gemma":0.005559149,"domain_scores_codex":[0.999887,0.00002317346,0.000008760742,0.00003117883,0.00003569363,0.00001435947],"domain_scores_gemma":[0.9996989,0.0001480294,0.00004778699,0.00002249656,0.00007321921,0.000009670252],"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":[0.0003684795,0.0000577653,0.001141727,0.0002093299,0.00004081002,0.0001684969,0.0001524311,0.8872781,0.02993485,0.004450344,0.0005041792,0.07569343],"study_design_scores_gemma":[0.00000657988,0.0000261021,0.0003573908,0.000003146757,0.000003964739,0.00001540661,0.000004560306,0.997451,0.00159136,0.0003379803,0.0001991399,0.000003317443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1751159,0.0006901271,0.8163749,0.0002528568,0.00009628818,0.00006671411,0.00005695921,0.0003233564,0.007022977],"genre_scores_gemma":[0.9891319,0.00007914691,0.009130916,0.00001797015,0.000009654986,0.0000276328,0.00001723383,0.000009195252,0.001576377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006470141,"threshold_uncertainty_score":0.01286495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3107446066","doi":"10.1016/j.isatra.2020.11.030","title":"Secure consensus of multi-agent systems with redundant signal and communication interference via distributed dynamic event-triggered control","year":2020,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Southwest University for Nationalities; Natural Sciences and Engineering Research Council of Canada; Scientific Research Foundation of Hunan Provincial Education Department; National Natural Science Foundation of China","keywords":"Computer science; Interference (communication); SIGNAL (programming language); Scheme (mathematics); Transmission (telecommunications); Protocol (science); Deception; Event (particle physics); Distributed computing; Control theory (sociology); Controller (irrigation); Control (management); Computer network; Telecommunications; Artificial intelligence; Mathematics","authors":[{"name":"Can Zhao","is_ca":false},{"name":"Xinzhi Liu","is_ca":true},{"name":"Shouming Zhong","is_ca":false},{"name":"Kaibo Shi","is_ca":false},{"name":"Daixi Liao","is_ca":false},{"name":"Qishui Zhong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01651038275290357,"gpt":0.2326188370279459,"spread":0.2161084542750423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823167,0.000874889,0.001187538,0.0004955152,0.0006085653,0.001392512,0.001370147,0.0009029175,0.001107611],"category_scores_gemma":[0.00463876,0.0003528135,0.0006108839,0.0005069837,0.001455858,0.001256705,0.002208999,0.001220855,0.0002014497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007849426,"about_ca_system_score_gemma":0.001230768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418266,"about_ca_topic_score_gemma":0.001056374,"domain_scores_codex":[0.9979628,0.0005754216,0.0001237581,0.0004180926,0.0006669951,0.0002528685],"domain_scores_gemma":[0.9973168,0.001313568,0.000452327,0.0003297288,0.0004551894,0.0001323386],"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":[0.0005869712,0.0001133465,0.0003628947,0.0001077507,0.00007957416,0.0003251269,0.0002671882,0.891799,0.01392471,0.05258812,0.0006703406,0.03917504],"study_design_scores_gemma":[0.00002526785,0.00005982015,0.00005314718,0.000002592899,0.00000869237,0.0000164549,0.000009678995,0.9897776,0.001086636,0.008812436,0.0001422574,0.000005424575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0444937,0.0001027344,0.9524987,0.0001500823,0.00006141283,0.00005033474,0.00002054872,0.0002354042,0.002387151],"genre_scores_gemma":[0.9822794,0.00005217432,0.01651138,0.00003554107,0.00002055198,0.00005383272,0.00002137211,0.00001709454,0.001008538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001823167,"threshold_uncertainty_score":0.009641945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018374978","doi":"10.1016/j.isatra.2012.02.003","title":"Sliding mode fault tolerant control dealing with modeling uncertainties and actuator faults","year":2012,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Actuator; Control theory (sociology); Nonlinear system; Mode (computer interface); Lyapunov function; Sliding mode control; Fault (geology); Lyapunov stability; Computer science; Stability (learning theory); Control engineering; Engineering; Control (management); Artificial intelligence","authors":[{"name":"Tao Wang","is_ca":true},{"name":"Wenfang Xie","is_ca":true},{"name":"Youmin Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01408651060720507,"gpt":0.2205692585826122,"spread":0.2064827479754071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003929441,0.0006632386,0.0006757382,0.0003334545,0.0004431428,0.0007921167,0.0007888328,0.0008854104,0.0009680257],"category_scores_gemma":[0.001157677,0.0002569082,0.0003976041,0.0003806761,0.0005109118,0.0008213897,0.0007500287,0.0005898294,0.0001238409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002690304,"about_ca_system_score_gemma":0.0003915997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870652,"about_ca_topic_score_gemma":0.00128995,"domain_scores_codex":[0.9998171,0.00003452765,0.0000153155,0.00003284439,0.00006760017,0.00003271775],"domain_scores_gemma":[0.9995918,0.0001676023,0.00008467589,0.00005164497,0.00008689705,0.00001738059],"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":[0.0002975386,0.00006865489,0.0005595831,0.0002148277,0.0000789054,0.0003251738,0.0002890352,0.8779873,0.022137,0.01400884,0.001024791,0.08300842],"study_design_scores_gemma":[0.00001236163,0.00009968034,0.0002370308,0.000006162662,0.00001341314,0.00003125688,0.00001514732,0.9933143,0.002759805,0.003007879,0.0004978034,0.000005119532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09668708,0.0005844422,0.8979234,0.000293555,0.0002272997,0.00003412008,0.00003261495,0.0003684955,0.003848968],"genre_scores_gemma":[0.9881033,0.0001884461,0.009609062,0.00004739967,0.00005675758,0.00003650435,0.00002951314,0.00001209536,0.001916846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001870652,"threshold_uncertainty_score":0.003719509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977592222","doi":"10.1016/j.isatra.2014.05.023","title":"Finite element based model predictive control for active vibration suppression of a one-link flexible manipulator","year":2014,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Model predictive control; Finite element method; Vibration; Controller (irrigation); Vibration control; Active vibration control; Actuator; Engineering; Control engineering; Computer science; Structural engineering; Control (management); Artificial intelligence; Physics","authors":[{"name":"Rickey Dubay","is_ca":true},{"name":"Marwan Hassan","is_ca":true},{"name":"Chunying Li","is_ca":true},{"name":"Meaghan Charest","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01402095355061692,"gpt":0.2174290125755722,"spread":0.2034080590249553,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023168,0.0003202302,0.0004016234,0.0002103322,0.0003933749,0.0003779907,0.0005455345,0.0005541838,0.001508617],"category_scores_gemma":[0.000444269,0.0002204066,0.0002349839,0.0001509593,0.0003671591,0.0002602403,0.000357783,0.0004181891,0.0001556145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004193,"about_ca_system_score_gemma":0.0003045218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00339421,"about_ca_topic_score_gemma":0.003802043,"domain_scores_codex":[0.999918,0.00001718416,0.00000420853,0.00001353247,0.00003668133,0.00001040938],"domain_scores_gemma":[0.9998196,0.00008979819,0.00002859557,0.00001500325,0.00003827445,0.000008782352],"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":[0.0001637154,0.00006943531,0.0002258533,0.00009719891,0.00002665262,0.00009956722,0.00008778761,0.9337791,0.02316278,0.002155963,0.0003912725,0.03974071],"study_design_scores_gemma":[0.000004028319,0.00003864663,0.00008790469,0.000002735791,0.000003286257,0.000005340668,0.000004080214,0.9985437,0.001029322,0.000153054,0.0001260657,0.000001911698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1370061,0.0003220903,0.8525067,0.0002847947,0.0001087227,0.00003868046,0.00002897721,0.0004153369,0.009288611],"genre_scores_gemma":[0.9891261,0.00005862423,0.009068476,0.00001901646,0.000006893325,0.00002311754,0.00001228457,0.000006699449,0.001679001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00339421,"threshold_uncertainty_score":0.006748915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3082362852","doi":"10.1016/j.isatra.2020.08.036","title":"Novel adaptive impedance control for exoskeleton robot for rehabilitation using a nonlinear time-delay disturbance observer","year":2020,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"","keywords":"Control theory (sociology); Impedance control; Exoskeleton; Feed forward; Torque; Engineering; Actuator; Controller (irrigation); Computer science; Robot; Control engineering; Backlash; Backstepping; Simulation; Adaptive control; Control (management); Artificial intelligence","authors":[{"name":"Brahim Brahmi","is_ca":false},{"name":"Mark Driscoll","is_ca":true},{"name":"Ibrahim K. El Bojairami","is_ca":true},{"name":"Maarouf Saad","is_ca":true},{"name":"Abdelkrim Brahmi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04171832059435519,"gpt":0.2967163782394474,"spread":0.2549980576450921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000341537,0.0005521773,0.0006101839,0.0001906533,0.0003911343,0.0006632715,0.0006271654,0.0006763167,0.001456132],"category_scores_gemma":[0.0005280685,0.0002456138,0.0003772247,0.0001876648,0.0003909283,0.0005582061,0.00059424,0.0005081136,0.0003205894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822078,"about_ca_system_score_gemma":0.0004454309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278545,"about_ca_topic_score_gemma":0.002863046,"domain_scores_codex":[0.9997008,0.00003630222,0.00003061151,0.00009591992,0.0001059599,0.00003040036],"domain_scores_gemma":[0.9997664,0.00005528056,0.00003942522,0.00002093207,0.0001056498,0.00001234588],"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":[0.001361262,0.0003801349,0.002176064,0.001330347,0.0002623647,0.000853776,0.0008180322,0.2567834,0.3660973,0.01249506,0.003435755,0.3540065],"study_design_scores_gemma":[0.0001141954,0.0006013929,0.001446123,0.00002950653,0.00006739159,0.0001537309,0.00003866034,0.9705113,0.02222308,0.0007076727,0.004079893,0.00002711661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02368285,0.0003467459,0.971948,0.0001458197,0.0002242142,0.00005871316,0.0000171914,0.0003991619,0.003177391],"genre_scores_gemma":[0.9449217,0.0003711288,0.04799603,0.0001095363,0.00008714112,0.0001329684,0.00005159082,0.00002696999,0.00630289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002278545,"threshold_uncertainty_score":0.004871249,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1970461315","doi":"10.1016/j.isatra.2015.04.001","title":"Process monitoring using kernel density estimation and Bayesian networking with an industrial case study","year":2015,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Suncor Energy (Canada); University of Alberta","funders":"","keywords":"Principal component analysis; Dimensionality reduction; Kernel density estimation; Gaussian process; Artificial intelligence; Kernel principal component analysis; Computer science; Kernel (algebra); Pattern recognition (psychology); Dimension (graph theory); Fault detection and isolation; Independent component analysis; Bayesian probability; Reduction (mathematics); Machine learning; Data mining; Gaussian; Kernel method; Mathematics; Statistics; Support vector machine","authors":[{"name":"Rubèn González","is_ca":true},{"name":"Biao Huang","is_ca":true},{"name":"Eric H. Y. Lau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05880327707768501,"gpt":0.2859767980577272,"spread":0.2271735209800422,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003224585,0.0006687616,0.00063558,0.00125929,0.0005574894,0.001013167,0.001190699,0.002047415,0.0009848197],"category_scores_gemma":[0.008984648,0.000423704,0.0006967813,0.001165475,0.0008034548,0.00116446,0.0006836313,0.0007101819,0.000119713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593236,"about_ca_system_score_gemma":0.0005724999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644909,"about_ca_topic_score_gemma":0.01203947,"domain_scores_codex":[0.9987282,0.0006702506,0.00006279352,0.0001762729,0.0002695709,0.00009299763],"domain_scores_gemma":[0.9914956,0.006955863,0.0004015913,0.0004333969,0.0005995282,0.0001140215],"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":[0.0006907755,0.0006707851,0.02565003,0.00012105,0.0001086477,0.001793517,0.0002439692,0.9071108,0.001399217,0.008551087,0.0009924672,0.05266771],"study_design_scores_gemma":[0.00002117935,0.00006466478,0.002277526,0.000004840234,0.00001949692,0.0001387348,0.00004257427,0.9952467,0.0005344709,0.00146805,0.0001715147,0.00001017673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951928,0.0005146855,0.1986828,0.0006380081,0.00002766657,0.0001427262,0.0002347698,0.0003622895,0.004204195],"genre_scores_gemma":[0.973461,0.0001308913,0.02540559,0.00001352374,0.000009853738,0.00002819074,0.00008125219,0.00001470429,0.0008550176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01644909,"threshold_uncertainty_score":0.03270668,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2046496861","doi":"10.1016/j.isatra.2013.03.003","title":"Robust attitude control design for spacecraft under assigned velocity and control constraints","year":2013,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Actuator; Spacecraft; Attitude control; Angular velocity; Robust control; Nonlinear system; Torque; Residual; Controller (irrigation); Control (management); Computer science; Control engineering; Engineering; Physics; Algorithm; Artificial intelligence; Aerospace engineering","authors":[{"name":"Qinglei Hu","is_ca":false},{"name":"Bo Li","is_ca":false},{"name":"Youmin Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03421629939641183,"gpt":0.2202183433350529,"spread":0.186002043938641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000897141,0.0009593789,0.0009457858,0.0004177839,0.0003161625,0.001003471,0.0009858927,0.001010602,0.001787717],"category_scores_gemma":[0.001937561,0.0004613195,0.0005185261,0.0003544221,0.0006941182,0.0007067075,0.001046604,0.0007658241,0.0003811358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219818,"about_ca_system_score_gemma":0.0008967347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003564761,"about_ca_topic_score_gemma":0.002334552,"domain_scores_codex":[0.999589,0.00009723947,0.00002162492,0.00009175349,0.0001365127,0.00006388594],"domain_scores_gemma":[0.9994838,0.0001652024,0.000114184,0.00004507965,0.0001658841,0.00002587053],"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":[0.000168499,0.00003972682,0.0001752746,0.000170874,0.00006702077,0.0001105332,0.0001129643,0.9382286,0.008687844,0.01918516,0.000947301,0.03210621],"study_design_scores_gemma":[0.00001992986,0.00009538221,0.0000805646,0.000004855123,0.00000738388,0.00000878395,0.000009322552,0.9963517,0.00070357,0.002333996,0.0003790661,0.000005314926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01762344,0.0001604347,0.9787576,0.0001091833,0.00006240947,0.00003034438,0.00003113938,0.0001679921,0.003057494],"genre_scores_gemma":[0.9388598,0.0002105066,0.05654107,0.00008293075,0.00008537008,0.000172137,0.0001122735,0.00006241783,0.003873483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003564761,"threshold_uncertainty_score":0.007088065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2765444119","doi":"10.1016/j.isatra.2017.10.004","title":"Adaptive backstepping H∞ tracking control with prescribed performance for internet congestion","year":2017,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Active queue management; Backstepping; Network congestion; Control theory (sociology); Computer science; Transient (computer programming); Tracking error; Queue; Controller (irrigation); Transmission Control Protocol; Packet loss; Adaptive control; Network packet; Control (management); Computer network","authors":[{"name":"Yang Liu","is_ca":true},{"name":"Xiaoping Liu","is_ca":true},{"name":"Yuanwei Jing","is_ca":false},{"name":"Shaowei Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02677749278496168,"gpt":0.2346270701720457,"spread":0.207849577387084,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009265344,0.0007424895,0.0006559166,0.0003634244,0.000405158,0.0007753426,0.0006988345,0.001051665,0.0012732],"category_scores_gemma":[0.003685403,0.0002583269,0.0004092309,0.0003766181,0.0008342103,0.000566436,0.001146423,0.001009095,0.0001522972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007584756,"about_ca_system_score_gemma":0.0009808976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007928934,"about_ca_topic_score_gemma":0.002896642,"domain_scores_codex":[0.9995614,0.0001168624,0.00002119655,0.00008103513,0.0001551387,0.00006437104],"domain_scores_gemma":[0.9988843,0.0004992097,0.0001241485,0.00007404057,0.0003799616,0.00003828783],"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":[0.0001847144,0.00007026911,0.0003175581,0.0001425107,0.00002988384,0.0001268641,0.000138874,0.9430674,0.009131565,0.01507198,0.0007766116,0.03094184],"study_design_scores_gemma":[0.00001053718,0.00005252282,0.00007935779,0.000002478936,0.000004289427,0.000006483554,0.000005857883,0.9978124,0.0006439165,0.001259891,0.0001178561,0.000004377204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07087867,0.000204967,0.9229994,0.0002243306,0.0001236158,0.00005044083,0.0000258176,0.0002725305,0.005220198],"genre_scores_gemma":[0.9871752,0.00008949122,0.009915464,0.00004271666,0.00002488114,0.00005379065,0.00001984038,0.00001496179,0.002663647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007928934,"threshold_uncertainty_score":0.01576555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014959171","doi":"10.1016/s0019-0578(00)00024-0","title":"PID gain scheduling using fuzzy logic","year":2000,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Gain scheduling; Control theory (sociology); Fuzzy logic; Computer science; Scheduling (production processes); Control engineering; Mathematics; Engineering; Control (management); Temperature control; Mathematical optimization; Artificial intelligence","authors":[{"name":"T.P. Blanchett","is_ca":false},{"name":"G. Kember","is_ca":true},{"name":"Rickey Dubay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02272081221108201,"gpt":0.2379252657263459,"spread":0.2152044535152638,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006770758,0.0005591729,0.0006643609,0.000649493,0.0009021745,0.001396034,0.0007321077,0.0005278843,0.004624213],"category_scores_gemma":[0.001656108,0.0003117622,0.000334212,0.0003767812,0.0004306776,0.0006663602,0.0005002884,0.0008738647,0.0008103722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009394721,"about_ca_system_score_gemma":0.001196622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005924834,"about_ca_topic_score_gemma":0.006581205,"domain_scores_codex":[0.9995998,0.0000466866,0.00002489482,0.00009774743,0.0001571889,0.00007370178],"domain_scores_gemma":[0.9995371,0.0001592091,0.00003719988,0.00006153648,0.0001730847,0.00003189044],"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":[0.00109006,0.0003748125,0.0006753281,0.0001619622,0.0000542655,0.0001452068,0.0001962949,0.3970037,0.04344819,0.02943475,0.00365133,0.523764],"study_design_scores_gemma":[0.00006320545,0.0001143492,0.000185288,0.00001138995,0.0000184668,0.000026307,0.00001486849,0.9801347,0.009870864,0.007722449,0.00182084,0.00001734424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01543019,0.0001686083,0.9749542,0.0001025922,0.0001875772,0.00007089857,0.00002506125,0.001090669,0.007970171],"genre_scores_gemma":[0.8612653,0.00009019209,0.1334785,0.00009375891,0.00005178728,0.00005608214,0.00003869175,0.00007372765,0.004851887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005924834,"threshold_uncertainty_score":0.01546955,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038311087","doi":"10.1016/j.isatra.2007.06.003","title":"A tuning algorithm for model predictive controllers based on genetic algorithms and fuzzy decision making","year":2007,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; Virtual Materials Group (Canada)","funders":"","keywords":"Model predictive control; Algorithm; Computer science; Process (computing); Genetic algorithm; Fine-tuning; Fuzzy logic; Key (lock); Variety (cybernetics); Range (aeronautics); MIMO; Control (management); Machine learning; Artificial intelligence; Engineering","authors":[{"name":"J.H. van der Lee","is_ca":true},{"name":"William Y. Svrcek","is_ca":true},{"name":"Brent R. Young","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009272913345053362,"gpt":0.2417208491788969,"spread":0.2324479358338436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009903762,0.000708156,0.001120418,0.0007359631,0.0006982517,0.0008839954,0.001005713,0.001314056,0.001891786],"category_scores_gemma":[0.002310775,0.0004258667,0.0005498556,0.0006721219,0.0005597534,0.0006331251,0.0005613225,0.0009781851,0.0004059534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006276667,"about_ca_system_score_gemma":0.0007831589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005918807,"about_ca_topic_score_gemma":0.004822109,"domain_scores_codex":[0.9997064,0.0000670365,0.0000149403,0.00005734734,0.000120838,0.0000334482],"domain_scores_gemma":[0.9995264,0.00025432,0.00004030175,0.00003513107,0.0001285783,0.00001537904],"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":[0.00007833423,0.00007126484,0.0002393968,0.00004502305,0.00005670956,0.00004030271,0.00005174526,0.776713,0.003201639,0.009539111,0.001177293,0.2087862],"study_design_scores_gemma":[0.00001565728,0.00001918612,0.00006909193,0.000004444843,0.000008481559,0.00001158936,0.000002337709,0.9968786,0.0005036084,0.002119456,0.0003622785,0.000005217802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006272435,0.0001173744,0.9914691,0.00006148162,0.00004904365,0.0000333446,0.00001188476,0.0003314087,0.001653915],"genre_scores_gemma":[0.4654654,0.0001641106,0.5310392,0.0001281827,0.00007018867,0.0002389748,0.00007713984,0.0001114401,0.002705257],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005918807,"threshold_uncertainty_score":0.0117687,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2808900966","doi":"10.1016/j.isatra.2018.06.001","title":"Health condition identification of planetary gearboxes based on variational mode decomposition and generalized composite multi-scale symbolic dynamic entropy","year":2018,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; University of Toronto","funders":"","keywords":"Softmax function; Fault (geology); Vibration; Entropy (arrow of time); Control theory (sociology); Pattern recognition (psychology); Engineering; Algorithm; Computer science; Artificial intelligence; Artificial neural network; Acoustics; Physics; Geology","authors":[{"name":"Yongbo Li","is_ca":false},{"name":"Guoyan Li","is_ca":false},{"name":"Wei Yu","is_ca":true},{"name":"Binbin Liu","is_ca":false},{"name":"Xihui Liang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006979743514234022,"gpt":0.3158633217310622,"spread":0.3088835782168282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404484,0.0002875312,0.0004009658,0.0004269734,0.0001730017,0.0003490138,0.0003018821,0.0003153106,0.0007484155],"category_scores_gemma":[0.0008724428,0.0001464217,0.0003254523,0.0001468714,0.0003664858,0.0005215644,0.0004377784,0.0002342126,0.00006387797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919365,"about_ca_system_score_gemma":0.0002358098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505521,"about_ca_topic_score_gemma":0.00150056,"domain_scores_codex":[0.9999163,0.0000220328,0.000004794062,0.00002151847,0.00002494111,0.00001046743],"domain_scores_gemma":[0.9997875,0.0001217711,0.00002931229,0.00001878451,0.00003330935,0.000009376126],"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":[0.0001682273,0.00004129089,0.005689487,0.000119904,0.00006862589,0.0001706098,0.0001555588,0.8918298,0.02067082,0.01330899,0.0003277072,0.06744906],"study_design_scores_gemma":[9.890229e-7,0.000004933762,0.0008175107,0.000002078786,0.000002332543,0.000009153254,0.000007798678,0.9971662,0.000378635,0.001575821,0.00003219457,0.000002275224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2021615,0.0001849994,0.7959806,0.0000697138,0.00001775835,0.00002508919,0.00005661577,0.0001221759,0.001381502],"genre_scores_gemma":[0.9908246,0.00004099295,0.008748925,0.000004772377,0.000004084204,0.00001293927,0.00002498759,0.000007632553,0.0003309079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001505521,"threshold_uncertainty_score":0.002993464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989032252","doi":"10.1016/s0019-0578(07)60107-4","title":"Controller performance analysis with LQG benchmark obtained under closed loop conditions","year":2002,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Syncrude","keywords":"Linear-quadratic-Gaussian control; Optimal projection equations; Control theory (sociology); Setpoint; Benchmark (surveying); Controller (irrigation); Subspace topology; Optimal control; Computer science; Mathematics; Mathematical optimization; Control (management); Artificial intelligence","authors":[{"name":"Ramesh Kadali","is_ca":true},{"name":"Biao Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008034623126453238,"gpt":0.1880206737994975,"spread":0.1799860506730443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009180795,0.0008107453,0.0008417865,0.0009552954,0.0005496811,0.000989369,0.0004142178,0.001031732,0.002939233],"category_scores_gemma":[0.004009124,0.0001763489,0.0003663368,0.0005190112,0.0003197854,0.0004457941,0.0003468753,0.0005045254,0.000386126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006353929,"about_ca_system_score_gemma":0.0005405801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421839,"about_ca_topic_score_gemma":0.007641013,"domain_scores_codex":[0.9993039,0.0001380175,0.00004458044,0.00008811846,0.0002291813,0.0001961829],"domain_scores_gemma":[0.9975452,0.001218866,0.0001600562,0.0002036086,0.0008294088,0.00004287254],"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":[0.002861873,0.0003476354,0.002564421,0.001222968,0.0002453707,0.0003176055,0.0002341033,0.8839584,0.05183476,0.004394938,0.004522938,0.04749503],"study_design_scores_gemma":[0.00008724941,0.0006643851,0.008686485,0.00003307334,0.00005428444,0.00007352883,0.0001101175,0.9647468,0.02371991,0.001067222,0.0007149065,0.0000420848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8065594,0.002627422,0.154001,0.0003958823,0.0002798333,0.0001489154,0.001887716,0.003564626,0.03053532],"genre_scores_gemma":[0.9957854,0.00005908819,0.002926293,0.00002291261,0.000007040393,0.00001937179,0.0004966042,0.00004478325,0.0006385564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01421839,"threshold_uncertainty_score":0.02827126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2967433175","doi":"10.1016/j.isatra.2019.08.010","title":"Improvement of sliding mode controller by using a new adaptive reaching law: Theory and experiment","year":2019,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Sliding mode control; Control theory (sociology); Law; Controller (irrigation); Nonlinear system; Convergence (economics); Computer science; Mode (computer interface); Control engineering; Engineering; Control (management); Artificial intelligence; Physics; Political science","authors":[{"name":"Brahim Brahmi","is_ca":true},{"name":"Mohamed Hamza Laraki","is_ca":true},{"name":"Abdelkrim Brahmi","is_ca":true},{"name":"Maarouf Saad","is_ca":true},{"name":"Mohammad Habibur Rahman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01459562019312936,"gpt":0.2401206869336558,"spread":0.2255250667405265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008315124,0.0004536397,0.0004715507,0.0004211861,0.000329969,0.0003759219,0.0005713532,0.0009601882,0.001742307],"category_scores_gemma":[0.001525132,0.000218167,0.0003523832,0.0002456881,0.0004963578,0.0007795458,0.0003867434,0.0004995891,0.0001652352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042448,"about_ca_system_score_gemma":0.0002976388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105009,"about_ca_topic_score_gemma":0.0005573956,"domain_scores_codex":[0.9995902,0.00007903563,0.00002683587,0.00007969678,0.0001810704,0.00004314351],"domain_scores_gemma":[0.9987679,0.0005143168,0.00007356253,0.0001995967,0.0004074826,0.00003707945],"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":[0.002989503,0.001156697,0.00396311,0.001081623,0.000194509,0.000286183,0.0006272944,0.1068628,0.6297313,0.007764352,0.00141111,0.2439315],"study_design_scores_gemma":[0.0004598482,0.004503988,0.006720821,0.00003792916,0.0001825171,0.0002141583,0.00010127,0.7993404,0.184215,0.001437981,0.002700258,0.00008579547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.675314,0.0007445152,0.3132027,0.0003510558,0.0003232973,0.0002509689,0.00005704469,0.001461194,0.008295282],"genre_scores_gemma":[0.9766044,0.00009378843,0.02219881,0.00002861594,0.00001308785,0.00004699268,0.00002492998,0.00001621526,0.0009733164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001742307,"threshold_uncertainty_score":0.005828559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069672128","doi":"10.1016/s0019-0578(07)60211-0","title":"An improved PCA method with application to boiler leak detection","year":2005,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Southeast University; Tsinghua University; University of Alberta; Syncrude","keywords":"Fault detection and isolation; Constant false alarm rate; Principal component analysis; Boiler (water heating); Preprocessor; ALARM; Computer science; Data pre-processing; False alarm; Data mining; Process industry; Leak detection; Leak; Reliability engineering; Engineering; Real-time computing; Artificial intelligence","authors":[{"name":"Xi Sun","is_ca":true},{"name":"Horacio J. Marquez","is_ca":true},{"name":"Tongwen Chen","is_ca":true},{"name":"Muhammad Hussnain Riaz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004512942129628675,"gpt":0.2334377652944549,"spread":0.2289248231648262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006307674,0.001322323,0.001222419,0.001354062,0.0006686787,0.0008171705,0.0007704484,0.0008792866,0.004923263],"category_scores_gemma":[0.00178397,0.0006122132,0.000932123,0.002062526,0.0003354956,0.0008469445,0.0008002483,0.001114171,0.00295025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946407,"about_ca_system_score_gemma":0.0009092132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566609,"about_ca_topic_score_gemma":0.005641845,"domain_scores_codex":[0.9991996,0.0001292723,0.00003773549,0.0001579918,0.000415843,0.00005960105],"domain_scores_gemma":[0.9991342,0.000190494,0.00003326734,0.0001176321,0.0004850404,0.00003941878],"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":[0.0002352552,0.000153239,0.000511611,0.0001848458,0.0001021256,0.0001267071,0.00004651765,0.01435546,0.09610854,0.001849984,0.008272376,0.8780532],"study_design_scores_gemma":[0.00006905385,0.0002247818,0.005401361,0.00001801535,0.0001618653,0.0007130231,0.00002755988,0.8946706,0.07580364,0.001740651,0.02105189,0.0001175291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007272981,0.0005631568,0.9880993,0.0001490385,0.0002916783,0.00005584118,0.0001599621,0.002421446,0.0009865736],"genre_scores_gemma":[0.0583143,0.0006756415,0.9324809,0.00013494,0.0003158368,0.0001142112,0.0004847541,0.0003390698,0.007140236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004923263,"threshold_uncertainty_score":0.01646996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2976852562","doi":"10.1016/j.isatra.2019.09.015","title":"Event-triggered adaptive tracking control for uncertain nonlinear systems based on a new funnel function","year":2019,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"Taishan Scholar Project of Shandong Province; National Natural Science Foundation of China","keywords":"Funnel; Control theory (sociology); Controller (irrigation); Tracking (education); Tracking error; Nonlinear system; Convergence (economics); Event (particle physics); Bounded function; Zeno's paradoxes; Computer science; Function (biology); Adaptive control; Control (management); Control system; Engineering; Mathematics; Artificial intelligence; Physics","authors":[{"name":"Cungen Liu","is_ca":false},{"name":"Xiaoping Liu","is_ca":true},{"name":"Huanqing Wang","is_ca":false},{"name":"Yucheng Zhou","is_ca":false},{"name":"Shouyin Lu","is_ca":false},{"name":"Bo Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02258422683949973,"gpt":0.2334010222605189,"spread":0.2108167954210192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061789,0.000666439,0.0007917722,0.0004896132,0.0003171198,0.001324561,0.001178178,0.000930543,0.001712931],"category_scores_gemma":[0.001602519,0.0002184151,0.0005785663,0.0004391014,0.0006001533,0.001056892,0.001114711,0.0006766904,0.0002284143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003709548,"about_ca_system_score_gemma":0.0004657317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007667654,"about_ca_topic_score_gemma":0.0005547508,"domain_scores_codex":[0.9997558,0.00006093749,0.00002494819,0.00004942748,0.00007626964,0.00003265229],"domain_scores_gemma":[0.9994036,0.0002251963,0.00009058898,0.00006049814,0.000175853,0.00004431046],"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":[0.001219022,0.0002225793,0.0008361278,0.000619291,0.0001888282,0.0005687255,0.0002484873,0.649226,0.06516491,0.1242636,0.001827703,0.1556147],"study_design_scores_gemma":[0.00002333382,0.0001278044,0.00010233,0.0000095614,0.00001632729,0.00003709126,0.000004640527,0.9937929,0.001778927,0.003595913,0.0004984979,0.00001274654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01616774,0.0002904772,0.9810722,0.00007564829,0.0001162753,0.00002987567,0.00001967368,0.0001921148,0.002035909],"genre_scores_gemma":[0.9527411,0.0004096416,0.04251981,0.00007688435,0.00005641434,0.00008419271,0.00004110698,0.00003319016,0.00403775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001712931,"threshold_uncertainty_score":0.005730271,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971503988","doi":"10.1016/j.isatra.2008.03.002","title":"Adaptive fuzzy approach for a class of uncertain nonlinear systems in strict-feedback form","year":2008,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Hong Kong Polytechnic University","keywords":"Nonlinear system; Class (philosophy); Control theory (sociology); Fuzzy logic; Computer science; Control engineering; Mathematics; Artificial intelligence; Engineering; Control (management); Physics","authors":[{"name":"H.F. Ho","is_ca":false},{"name":"Yoko Wong","is_ca":false},{"name":"A.B. Rad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03841783863986586,"gpt":0.2343278944253071,"spread":0.1959100557854412,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002875356,0.0005271542,0.0004890707,0.0003227182,0.0003748578,0.0006236424,0.0006829944,0.0006700487,0.001346918],"category_scores_gemma":[0.0006480606,0.0001247337,0.0003865694,0.0003554701,0.0004257618,0.0004806599,0.0005554784,0.0006128871,0.0001668868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003524635,"about_ca_system_score_gemma":0.0004515148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003204419,"about_ca_topic_score_gemma":0.003267316,"domain_scores_codex":[0.9998933,0.00002157884,0.000007901659,0.00002241509,0.00004504353,0.000009714313],"domain_scores_gemma":[0.999824,0.00005841845,0.00002094222,0.00001186086,0.00007338876,0.00001138809],"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":[0.0001741146,0.00009013061,0.0009983374,0.000403659,0.0001170343,0.000522505,0.0003961024,0.6307639,0.02656815,0.2182739,0.002285953,0.1194062],"study_design_scores_gemma":[0.00000506488,0.00004016328,0.0001398687,0.000004411667,0.000009335439,0.00002631052,0.00001213562,0.9874105,0.0003773145,0.01132872,0.0006404642,0.000005664283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03366645,0.0004949227,0.9587401,0.0002339832,0.00008257937,0.00003402344,0.00004010956,0.00006090543,0.006646874],"genre_scores_gemma":[0.9152461,0.0007318899,0.0729305,0.0001169975,0.0001431061,0.0001182286,0.00007242566,0.00001521911,0.01062543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003204419,"threshold_uncertainty_score":0.006371498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041924304","doi":"10.1016/j.isatra.2020.07.005","title":"Distributed adaptive fault-tolerant close formation flight control of multiple trailing fixed-wing UAVs","year":2020,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"State Key Laboratory of Synthetical Automation for Process Industries; Higher Education Discipline Innovation Project; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Wake; Actuator; Flight control surfaces; Trailing edge; Computer science; Wing; Bounded function; Fault tolerance; Fixed wing; Engineering; Aerospace engineering; Control (management); Aerodynamics; Mathematics; Artificial intelligence; Distributed computing; Structural engineering","authors":[{"name":"Ziquan Yu","is_ca":false},{"name":"Youmin Zhang","is_ca":true},{"name":"Bin Jiang","is_ca":false},{"name":"Xiang Yu","is_ca":false},{"name":"Jun Fu","is_ca":false},{"name":"Ying Jin","is_ca":false},{"name":"Tianyou Chai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02486554381346599,"gpt":0.2245210386843473,"spread":0.1996554948708813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000327299,0.0004028608,0.0005367023,0.0002495407,0.0006969622,0.0006075835,0.0007509957,0.0004888945,0.0008633272],"category_scores_gemma":[0.001030267,0.0002143633,0.0002473515,0.0001819154,0.0005354842,0.0005332674,0.0009091751,0.0004221431,0.00009898429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779886,"about_ca_system_score_gemma":0.0004242514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003862477,"about_ca_topic_score_gemma":0.002821236,"domain_scores_codex":[0.999786,0.00003018434,0.000009546698,0.00006182696,0.00006763121,0.00004494885],"domain_scores_gemma":[0.9995275,0.0001231387,0.0001230685,0.00005380642,0.0001194636,0.0000530346],"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":[0.0003932012,0.00007863664,0.001365125,0.00005838738,0.00003702528,0.0002422567,0.0002512124,0.9256301,0.02031639,0.002302017,0.0004444761,0.0488813],"study_design_scores_gemma":[0.00002442424,0.0001396714,0.0004208756,0.000002206358,0.000005952675,0.00002583363,0.00002380334,0.996908,0.001599272,0.0006665021,0.0001794828,0.000003994372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4691019,0.0002253014,0.5257508,0.0002675539,0.0001732937,0.00005551313,0.00002896258,0.0002700695,0.004126664],"genre_scores_gemma":[0.9963559,0.00001505433,0.002994524,0.000008968655,0.000006169894,0.00001131485,0.000006610121,0.000002838978,0.0005987726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003862477,"threshold_uncertainty_score":0.007679999,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4225712666","doi":"10.1016/j.isatra.2021.12.004","title":"Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":56,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Mainland China; China; Geography; Psychological intervention; Outbreak; Demography; Coronavirus disease 2019 (COVID-19); Basic reproduction number; Reproduction; Confidence interval; Transmission (telecommunications); Mainland; Socioeconomics; Statistics; Medicine; Biology; Ecology; Population; Computer science; Disease; Mathematics; Virology; Infectious disease (medical specialty); Sociology","authors":[{"name":"Biao Tang","is_ca":false},{"name":"Fan Xia","is_ca":false},{"name":"Nicola Luigi Bragazzi","is_ca":true},{"name":"Zachary McCarthy","is_ca":true},{"name":"Xia Wang","is_ca":false},{"name":"Sha He","is_ca":false},{"name":"Xiaodan Sun","is_ca":false},{"name":"Sanyi Tang","is_ca":false},{"name":"Yanni Xiao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4621305008893982,"gpt":0.4728471989288142,"spread":0.01071669803941599,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003844159,0.0004951981,0.0007798561,0.0009161365,0.001522379,0.002204163,0.001705313,0.001336726,0.007417344],"category_scores_gemma":[0.01071766,0.0002095204,0.0006109666,0.00129881,0.001152665,0.003642751,0.001693224,0.001715905,0.0002128606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003716924,"about_ca_system_score_gemma":0.005562622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1990786,"about_ca_topic_score_gemma":0.2055255,"domain_scores_codex":[0.9990085,0.0006030332,0.00003317913,0.00007632966,0.0000553105,0.0002236619],"domain_scores_gemma":[0.9954736,0.002868131,0.0004633657,0.0002071083,0.0005166703,0.0004710818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001073284,0.001182503,0.4006728,0.0007994098,0.0009168128,0.006672716,0.02203406,0.118297,0.001366931,0.3491269,0.02145105,0.07640652],"study_design_scores_gemma":[0.0003369097,0.00106464,0.2483207,0.001356931,0.001226473,0.001104522,0.2021982,0.2592962,0.001483683,0.2429398,0.04038025,0.0002916601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477743,0.001536937,0.004668955,0.02187234,0.00006803164,0.00008175054,0.0004211805,0.00002864475,0.02354793],"genre_scores_gemma":[0.9973349,0.0005078809,0.0006921007,0.0004076826,0.00001103885,0.00001649657,0.00008579182,0.000008181579,0.0009359474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1990786,"threshold_uncertainty_score":0.3958396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946021714","doi":"10.1016/j.isatra.2019.05.007","title":"ACCUGRAM: A novel approach based on classification to frequency band selection for rotating machinery fault diagnosis","year":2019,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; National Key Research and Development Program of China; State Key Laboratory of Traction Power; Southwest Jiaotong University; National Natural Science Foundation of China","keywords":"Robustness (evolution); Frequency band; Benchmark (surveying); Fault (geology); Computer science; Envelope (radar); Fault detection and isolation; Engineering; Artificial intelligence; Data mining; Pattern recognition (psychology); Telecommunications; Bandwidth (computing); Actuator","authors":[{"name":"Zhiliang Liu","is_ca":false},{"name":"Yaqiang Jin","is_ca":false},{"name":"Ming J. Zuo","is_ca":true},{"name":"Dandan Peng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02431228438827998,"gpt":0.2854842519437954,"spread":0.2611719675555154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461841,0.001363514,0.001323433,0.002624779,0.0006891096,0.0009729002,0.001106859,0.001112563,0.00290935],"category_scores_gemma":[0.001064282,0.0002551993,0.0006473909,0.001321677,0.0002433185,0.0007232226,0.0009117603,0.0007030536,0.001868491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335681,"about_ca_system_score_gemma":0.0006034988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003362498,"about_ca_topic_score_gemma":0.005540837,"domain_scores_codex":[0.9993605,0.000118014,0.0000284069,0.0001326111,0.0002735109,0.00008698755],"domain_scores_gemma":[0.999521,0.0001294909,0.00004399689,0.00006779835,0.0002046771,0.00003303317],"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":[0.0004777964,0.0002189124,0.00198563,0.0001192736,0.00008529147,0.0001539702,0.00005160289,0.009142645,0.03300049,0.001331104,0.008411016,0.9450221],"study_design_scores_gemma":[0.00006688071,0.0003706183,0.005636037,0.00003947231,0.0001277963,0.0005564319,0.00008976812,0.9446602,0.0317353,0.002606738,0.0140584,0.00005236922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02403741,0.001052402,0.9658881,0.0001626037,0.0003027563,0.0001730491,0.0003088024,0.004940891,0.003133905],"genre_scores_gemma":[0.3167478,0.0005596985,0.6725077,0.0004003383,0.000368366,0.0002107179,0.001200779,0.0003268376,0.007677817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003362498,"threshold_uncertainty_score":0.009732783,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947464159","doi":"10.1016/j.isatra.2019.05.015","title":"Adaptive fuzzy funnel congestion control for TCP/AQM network","year":2019,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Active queue management; Control theory (sociology); Backstepping; Transmission Control Protocol; Fuzzy logic; Computer science; Fuzzy control system; Network congestion; Transient (computer programming); Queue; Controller (irrigation); Adaptive control; Network packet; Control (management); Computer network","authors":[{"name":"Kun Wang","is_ca":false},{"name":"Yang Liu","is_ca":false},{"name":"Xiaoping Liu","is_ca":true},{"name":"Yuanwei Jing","is_ca":false},{"name":"Siying Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01087331978030513,"gpt":0.2094389208189413,"spread":0.1985656010386362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008772375,0.000469886,0.0005347191,0.0004799,0.0005879715,0.00114013,0.001021956,0.0007212008,0.001274575],"category_scores_gemma":[0.001675886,0.0001951777,0.0003335308,0.0003689013,0.0005609209,0.0006009727,0.0006393547,0.0006958509,0.00009571628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008863,"about_ca_system_score_gemma":0.0006991639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008630418,"about_ca_topic_score_gemma":0.00496216,"domain_scores_codex":[0.9996941,0.00006071817,0.00001806367,0.00006939632,0.00009999522,0.00005774616],"domain_scores_gemma":[0.9994729,0.0001300015,0.00006711511,0.00002562722,0.0002773537,0.00002701799],"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":[0.0006561692,0.0001915105,0.001089807,0.0002369264,0.00008595091,0.0001668065,0.0001579578,0.8056052,0.02714761,0.01892996,0.00263951,0.1430926],"study_design_scores_gemma":[0.00001432583,0.00004267483,0.0001181969,0.000003034391,0.0000113295,0.000006806271,0.000004357201,0.9978174,0.0007631507,0.001066628,0.00014726,0.000004862154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09935738,0.0008346495,0.8927407,0.0003236567,0.0003412382,0.00008039083,0.00004709956,0.0005389986,0.00573582],"genre_scores_gemma":[0.988884,0.000106094,0.009856459,0.00003146119,0.00004118595,0.0000230636,0.00001140345,0.000007446054,0.001038938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008630418,"threshold_uncertainty_score":0.01716036,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2793853780","doi":"10.1016/j.isatra.2018.02.009","title":"Synchronization of multiple 3-DOF helicopters under actuator faults and saturations with prescribed performance","year":2018,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Graduate Research and Innovation Projects of Jiangsu Province; National Natural Science Foundation of China","keywords":"Control theory (sociology); Actuator; Synchronization (alternating current); Nonlinear system; Bounded function; Constraint (computer-aided design); Computer science; Scheme (mathematics); Attitude control; Control (management); Control engineering; Engineering; Channel (broadcasting); Mathematics; Artificial intelligence","authors":[{"name":"Huiliao Yang","is_ca":false},{"name":"Bin Jiang","is_ca":false},{"name":"Hao Yang","is_ca":false},{"name":"Hugh H. T. Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00971174946140192,"gpt":0.2044856315338952,"spread":0.1947738820724933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003979897,0.0004061822,0.0004097816,0.0002515743,0.0003308617,0.0004030418,0.0003018072,0.0005579434,0.000743508],"category_scores_gemma":[0.001705468,0.0001595414,0.0001828677,0.0001724008,0.0006332542,0.0003371837,0.0008426062,0.0003099763,0.00009923313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119606,"about_ca_system_score_gemma":0.0004208155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005201301,"about_ca_topic_score_gemma":0.002760358,"domain_scores_codex":[0.9998788,0.00002937693,0.00000871547,0.00002438033,0.00003180067,0.00002688551],"domain_scores_gemma":[0.9993752,0.0002559754,0.0001859953,0.00003764944,0.00009535229,0.00004990757],"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":[0.0007429194,0.00003035076,0.00217555,0.00008072208,0.00003297024,0.0003388138,0.0003469755,0.9487362,0.02263061,0.01028386,0.0003388628,0.01426215],"study_design_scores_gemma":[0.00001715065,0.00006285417,0.0004848014,0.000003096317,0.000003649355,0.00001052296,0.00002542225,0.9968444,0.001012373,0.001457065,0.0000743467,0.000004213927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.662392,0.000171198,0.3318102,0.0002492123,0.0000520325,0.00004302462,0.00008299473,0.0001684519,0.005030883],"genre_scores_gemma":[0.9980208,0.00002164126,0.001424979,0.00000606582,0.000003599594,0.00001002524,0.00001537636,0.0000041792,0.00049339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005201301,"threshold_uncertainty_score":0.01034206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586354808","doi":"10.1016/j.isatra.2017.01.029","title":"A KPI-based process monitoring and fault detection framework for large-scale processes","year":2017,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"State Key Laboratory of Mechanical System and Vibration; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Partial least squares regression; Fault detection and isolation; Process (computing); Benchmark (surveying); Kernel (algebra); Performance indicator; Scale (ratio); Representation (politics); Fault (geology); Computer science; Variable (mathematics); Engineering; Mathematics; Artificial intelligence; Machine learning","authors":[{"name":"Kai Zhang","is_ca":false},{"name":"Yuri A.W. Shardt","is_ca":true},{"name":"Zhiwen Chen","is_ca":false},{"name":"Xu Yang","is_ca":false},{"name":"Steven X. Ding","is_ca":false},{"name":"Kaixiang Peng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01339415524855479,"gpt":0.2726770774415563,"spread":0.2592829221930015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557576,0.001405635,0.001484549,0.001746099,0.0008272624,0.002517499,0.002682422,0.0009359951,0.002492376],"category_scores_gemma":[0.003227006,0.0005765148,0.001187962,0.001376877,0.0008277024,0.002753469,0.002200907,0.002495524,0.00108778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241545,"about_ca_system_score_gemma":0.003291116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109137,"about_ca_topic_score_gemma":0.01226082,"domain_scores_codex":[0.9985903,0.0001562202,0.0000983324,0.0002710569,0.0007378768,0.0001463058],"domain_scores_gemma":[0.9987549,0.0002818209,0.0001772062,0.0002623953,0.0004125071,0.0001112705],"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":[0.0003751465,0.0005449666,0.003740442,0.0004859702,0.0002511299,0.0005597567,0.0003741525,0.4972708,0.02431129,0.1116425,0.01033109,0.3501128],"study_design_scores_gemma":[0.00001352754,0.0000327472,0.0002251012,0.00001148561,0.00002488205,0.00005499139,0.00001809186,0.9803801,0.002960074,0.01363559,0.002624556,0.00001901387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002121235,0.0001098887,0.9933403,0.00008954674,0.00001926115,0.00006471016,0.0001239575,0.003472857,0.000658301],"genre_scores_gemma":[0.3011769,0.0003367176,0.6951326,0.0001210714,0.00008461435,0.0002164692,0.0006308742,0.0003027049,0.001998075],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01109137,"threshold_uncertainty_score":0.02205366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998402968","doi":"10.1016/j.isatra.2014.06.001","title":"A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation","year":2014,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Universiti Teknologi Petronas","keywords":"Control theory (sociology); Particle swarm optimization; Fuzzy logic; Defuzzification; Controller (irrigation); Servomotor; Type (biology); Computer science; Mathematics; Control engineering; Mathematical optimization; Fuzzy number; Algorithm; Fuzzy set; Engineering; Artificial intelligence; Control (management)","authors":[{"name":"Haytham M. Fayek","is_ca":false},{"name":"Irraivan Elamvazuthi","is_ca":false},{"name":"N. Perumal","is_ca":false},{"name":"Bala Venkatesh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01554759536673433,"gpt":0.2418539210015409,"spread":0.2263063256348065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004445001,0.0005518287,0.0006248606,0.0004228133,0.00055354,0.0009052136,0.0007555215,0.000813817,0.001700954],"category_scores_gemma":[0.000814728,0.0003071668,0.0003816014,0.000283763,0.0003180575,0.0004509273,0.0003953808,0.000614909,0.0004272397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405725,"about_ca_system_score_gemma":0.001097962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919425,"about_ca_topic_score_gemma":0.004437212,"domain_scores_codex":[0.9997175,0.00003837777,0.00001550798,0.00006698676,0.0001349283,0.00002673343],"domain_scores_gemma":[0.9997823,0.00006509734,0.00002536033,0.00002431779,0.00009207473,0.00001082202],"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":[0.0004192317,0.0002365012,0.0006746829,0.0004196927,0.0001161431,0.0002389463,0.0002160164,0.3006496,0.1278837,0.04690935,0.004288732,0.5179473],"study_design_scores_gemma":[0.00005963637,0.0001643606,0.0002273371,0.00001776506,0.00004138268,0.0001045003,0.00001128575,0.9763651,0.01544958,0.004190512,0.003344061,0.00002445943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006179966,0.0001310688,0.9906862,0.0000554085,0.00005210322,0.00005335245,0.00001891868,0.0004680179,0.002354905],"genre_scores_gemma":[0.460393,0.000161545,0.5362078,0.0001124658,0.00004882115,0.0001835117,0.00005071206,0.00004718654,0.002795001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002919425,"threshold_uncertainty_score":0.005804896,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2756414053","doi":"10.1016/j.isatra.2017.09.004","title":"A hybrid clustering approach for multivariate time series – A case study applied to failure analysis in a gas turbine","year":2017,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Division of Graduate Education; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Cluster analysis; Multivariate statistics; Data mining; Euclidean distance; Metric (unit); Series (stratigraphy); Computer science; Similarity (geometry); Artificial intelligence; Pattern recognition (psychology); Machine learning; Engineering","authors":[{"name":"Cristiano Hora Fontes","is_ca":false},{"name":"Hector Budman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01263515608843998,"gpt":0.2422126375456122,"spread":0.2295774814571722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001731799,0.0007031159,0.0007018627,0.001828885,0.0007655953,0.0009577232,0.001096487,0.0012562,0.001042926],"category_scores_gemma":[0.002750807,0.0002382842,0.001006725,0.001822284,0.0003721164,0.0006196813,0.0006585543,0.0005145307,0.0002229912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839729,"about_ca_system_score_gemma":0.0005822298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008211984,"about_ca_topic_score_gemma":0.0115869,"domain_scores_codex":[0.9991062,0.0003484733,0.0000574059,0.0001460923,0.0002694712,0.00007229584],"domain_scores_gemma":[0.9983512,0.0009094109,0.0001062654,0.0001651991,0.000409311,0.00005862927],"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":[0.000480548,0.0003607773,0.01224439,0.0003192436,0.0003634552,0.0009939284,0.0006355405,0.6562857,0.01550178,0.007591814,0.002216844,0.303006],"study_design_scores_gemma":[0.000009213579,0.00009011222,0.004190726,0.000009101636,0.00004416145,0.0001963299,0.0001441384,0.990782,0.0019889,0.001723729,0.0007916173,0.00003006364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3461127,0.0004576989,0.6487622,0.0003630194,0.00006844704,0.0001583084,0.0002767501,0.0005182111,0.003282813],"genre_scores_gemma":[0.8306516,0.0001625214,0.1667351,0.00003581962,0.00003870905,0.00006110417,0.0002106598,0.00009116433,0.002013267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008211984,"threshold_uncertainty_score":0.01632833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3159802296","doi":"10.1016/j.isatra.2021.04.026","title":"A new deep domain adaptation method with joint adversarial training for online detection of bearing early fault","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Robustness (evolution); Fault detection and isolation; Deep learning; Data mining; Domain adaptation; Machine learning; Classifier (UML)","authors":[{"name":"Wentao Mao","is_ca":false},{"name":"Ling Ding","is_ca":false},{"name":"Yamin Liu","is_ca":false},{"name":"Sajad Saraygord Afshari","is_ca":true},{"name":"Xihui Liang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02952334128083667,"gpt":0.2866256882412805,"spread":0.2571023469604438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005740711,0.0008796221,0.0008016282,0.0004774202,0.0002524595,0.0003931648,0.001288158,0.0008497593,0.001809146],"category_scores_gemma":[0.001018356,0.000376297,0.0006300632,0.0004476545,0.000332952,0.0007929516,0.001200996,0.001606457,0.001057516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843639,"about_ca_system_score_gemma":0.000591332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003552489,"about_ca_topic_score_gemma":0.004353033,"domain_scores_codex":[0.9997054,0.00005060913,0.00001483669,0.00008696198,0.00009805112,0.00004412216],"domain_scores_gemma":[0.9996393,0.0001266833,0.00003068448,0.0000635862,0.0001158023,0.00002398271],"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":[0.000238456,0.0001564458,0.001008995,0.00008276836,0.0001213246,0.0001291012,0.00004606964,0.3128532,0.03038177,0.00340735,0.007269897,0.6443046],"study_design_scores_gemma":[0.000002555955,0.00001662102,0.0001361745,0.000002342439,0.000006485593,0.00002189257,0.000002050901,0.9967356,0.002152395,0.0004432376,0.0004766287,0.0000040717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009073035,0.0004360931,0.9882982,0.00008988195,0.0001058599,0.00002378743,0.00005367946,0.001021672,0.0008977277],"genre_scores_gemma":[0.5398059,0.0006670904,0.4445919,0.0005112502,0.0001589863,0.0001189777,0.0007304903,0.0002472268,0.01316814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003552489,"threshold_uncertainty_score":0.007063627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991156363","doi":"10.1016/s0019-0578(07)60204-3","title":"Self-optimizing MPC of melt temperature in injection moulding","year":2002,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":48,"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":"Injection moulding; Setpoint; Temperature control; Overheating (electricity); Injection molding machine; Overshoot (microwave communication); Model predictive control; Plastics industry; Thermal; Process (computing); Materials science; Control theory (sociology); Mechanical engineering; Computer science; Process engineering; Engineering; Composite material; Control (management); Mold","authors":[{"name":"Rickey Dubay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006315812016535844,"gpt":0.1848475479800837,"spread":0.1785317359635479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004094921,0.0005015836,0.0006928203,0.0002595579,0.0003602391,0.0004412626,0.0003643731,0.0004015859,0.000712465],"category_scores_gemma":[0.0006643688,0.0003384507,0.0003477225,0.0002288915,0.000386309,0.0004106438,0.0004315422,0.0005443364,0.00008528321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437627,"about_ca_system_score_gemma":0.0005054541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004823785,"about_ca_topic_score_gemma":0.004411688,"domain_scores_codex":[0.9998908,0.00002674207,0.000004089032,0.00002387802,0.00002728454,0.00002724066],"domain_scores_gemma":[0.9997618,0.0001107666,0.00004409992,0.00002146595,0.00004826331,0.00001359736],"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":[0.0001157391,0.00003810966,0.0004168744,0.00002757848,0.00001401147,0.00001565717,0.00001671735,0.975467,0.006507436,0.0008960188,0.0001299858,0.0163548],"study_design_scores_gemma":[0.000003242068,0.0000220848,0.0001162466,7.961382e-7,0.00000241292,9.31445e-7,0.000001167756,0.9980662,0.001601267,0.0001364905,0.00004783196,0.000001257621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4762288,0.0004138889,0.5169672,0.0001924102,0.00007526196,0.00004732027,0.00005844484,0.0008373433,0.005179303],"genre_scores_gemma":[0.9931648,0.00002694638,0.006108265,0.000007626845,0.000005708649,0.00001118298,0.00001251714,0.00002070489,0.0006422458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004823785,"threshold_uncertainty_score":0.009591401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991333223","doi":"10.1016/j.isatra.2013.09.005","title":"Modeling and distributed gain scheduling strategy for load frequency control in smart grids with communication topology changes","year":2013,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Robustness (evolution); Smart grid; Computer science; Distributed computing; Network topology; Topology (electrical circuits); Scheduling (production processes); Grid; Load balancing (electrical power); Control theory (sociology); Engineering; Computer network; Control (management)","authors":[{"name":"Shichao Liu","is_ca":true},{"name":"Abdulmotaleb El Saddik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01652231124643203,"gpt":0.2269037655324577,"spread":0.2103814542860257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004459601,0.0005378031,0.0006883984,0.0002432883,0.0004394276,0.0008549328,0.0007959066,0.0005469989,0.002059898],"category_scores_gemma":[0.000721851,0.0002529619,0.0004082667,0.000292203,0.0004261266,0.0007505264,0.0004084921,0.0006050245,0.0002488502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008116204,"about_ca_system_score_gemma":0.0006628042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009934111,"about_ca_topic_score_gemma":0.00868657,"domain_scores_codex":[0.999813,0.00004483909,0.000007967673,0.00004043217,0.00006523376,0.00002858535],"domain_scores_gemma":[0.9997893,0.00007863406,0.00002963279,0.00001879476,0.00007215495,0.00001152096],"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":[0.0000425356,0.000023179,0.0001422331,0.00002433179,0.000009049816,0.00003111259,0.00003507392,0.9815839,0.001645377,0.006857469,0.00030176,0.009304067],"study_design_scores_gemma":[0.000002244667,0.000004872673,0.00001658015,6.229158e-7,0.000001671533,0.000001933751,0.000002291847,0.9993023,0.00008888154,0.0005195177,0.00005830267,8.580118e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.032635,0.000235242,0.9596713,0.000200221,0.00007544752,0.00004190118,0.00003320985,0.0001744496,0.006933233],"genre_scores_gemma":[0.9813682,0.0001288477,0.01602458,0.00003133549,0.00002623594,0.00004369183,0.00002460883,0.00002192415,0.002330592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009934111,"threshold_uncertainty_score":0.01975256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3132783101","doi":"10.1016/j.isatra.2021.02.031","title":"Iterative characteristic ridge extraction for bearing fault detection under variable rotational speed conditions","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Sichuan Province Science and Technology Support Program; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Vibration; Bearing (navigation); Computer science; Control theory (sociology); Ridge; Amplitude; Smoothness; Fault detection and isolation; Algorithm; Mathematics; Structural engineering; Geology; Acoustics; Engineering; Artificial intelligence; Mathematical analysis; Physics; Optics","authors":[{"name":"Yifan Li","is_ca":false},{"name":"Yaocheng Yang","is_ca":false},{"name":"Yuejian Chen","is_ca":true},{"name":"Zaigang Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01526852137749749,"gpt":0.294553576943163,"spread":0.2792850555656655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002826572,0.0004208768,0.0005407353,0.0006767349,0.0002376224,0.0003967191,0.0003770501,0.0004290424,0.0009681651],"category_scores_gemma":[0.001222433,0.0002610661,0.0003510684,0.0005501452,0.0001895747,0.0005115499,0.0003936062,0.0005184638,0.0005100009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390887,"about_ca_system_score_gemma":0.0004376224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422423,"about_ca_topic_score_gemma":0.002385433,"domain_scores_codex":[0.9997688,0.00003317938,0.00001251252,0.00003725008,0.0001060779,0.00004218194],"domain_scores_gemma":[0.9993743,0.0002621785,0.00008265396,0.00008335857,0.0001791445,0.00001832896],"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":[0.0004040589,0.0001165634,0.003450444,0.0001014859,0.00004825027,0.000193933,0.0001638402,0.05152252,0.2049878,0.001517179,0.001377533,0.7361163],"study_design_scores_gemma":[0.000009846738,0.00008714625,0.004648483,0.000006818561,0.00001907551,0.0001808632,0.00003810098,0.957456,0.03595978,0.0007252495,0.0008554733,0.00001315308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09228189,0.0001551192,0.9052911,0.00004849214,0.00001601856,0.00002223049,0.00007527892,0.001082289,0.001027494],"genre_scores_gemma":[0.7055984,0.0001359513,0.2917189,0.00002627674,0.00001551458,0.00003075624,0.0002427329,0.0001409798,0.002090618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001422423,"threshold_uncertainty_score":0.003238797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2948018258","doi":"10.1016/j.isatra.2019.05.021","title":"Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis","year":2019,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"South Dakota Agricultural Experiment Station; Shandong Academy of Sciences; National Natural Science Foundation of China; National Centre for Supercomputing Applications; Case Western Reserve University","keywords":"Softmax function; Computer science; Data mining; Classifier (UML); Constraint (computer-aided design); Artificial intelligence; Algorithm; Pattern recognition (psychology); Artificial neural network; Mathematics","authors":[{"name":"Jing Yang","is_ca":false},{"name":"Guo Xie","is_ca":false},{"name":"Yanxi Yang","is_ca":false},{"name":"Youmin Zhang","is_ca":true},{"name":"Wei Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0193247793827268,"gpt":0.2270625354847571,"spread":0.2077377561020303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004802782,0.0007217574,0.000796509,0.000632898,0.0002670575,0.0006110263,0.0006430693,0.0005269198,0.001324506],"category_scores_gemma":[0.001164891,0.0003769376,0.0006639824,0.0004986599,0.0001969729,0.0007979464,0.0007408402,0.001116679,0.0003414876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004798293,"about_ca_system_score_gemma":0.001065404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009413995,"about_ca_topic_score_gemma":0.01202189,"domain_scores_codex":[0.9998063,0.00003942304,0.00001512557,0.00004817786,0.00005263114,0.00003825891],"domain_scores_gemma":[0.9995308,0.0002212197,0.00005326942,0.00006479121,0.0001068311,0.00002305876],"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":[0.0003409152,0.0001791045,0.002595564,0.00008230196,0.0001784391,0.0001103515,0.0000491687,0.7452714,0.008198982,0.004121461,0.002175752,0.2366965],"study_design_scores_gemma":[0.000001465975,0.00001059359,0.0001044832,0.000001100747,0.000005028077,0.00000421296,0.000001362135,0.9986362,0.0004323665,0.0007302575,0.00007132643,0.000001504108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04030078,0.0004634222,0.9565558,0.0001845128,0.00007189258,0.00002276977,0.0001889897,0.00152749,0.0006844614],"genre_scores_gemma":[0.9134263,0.0002264866,0.08371209,0.0001167907,0.00004180163,0.00006360283,0.0005122342,0.00007617657,0.001824528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009413995,"threshold_uncertainty_score":0.01871836,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992824317","doi":"10.1016/j.isatra.2012.02.005","title":"Performance-based parameter tuning method of model-driven PID control systems","year":2012,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"PID controller; Control theory (sociology); Internal model; Position (finance); Tracking error; Process (computing); Computer science; Set (abstract data type); Control (management); Control engineering; Engineering; Temperature control; Artificial intelligence","authors":[{"name":"Yue Zhao","is_ca":true},{"name":"Wenfang Xie","is_ca":true},{"name":"Xikai Tu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02634283037546339,"gpt":0.2467339226584356,"spread":0.2203910922829722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006668577,0.0005444698,0.0006170927,0.0003820791,0.0004263275,0.0006476041,0.0006974689,0.0005027791,0.002188263],"category_scores_gemma":[0.001618527,0.0002456298,0.0003602914,0.000222014,0.0003077082,0.0004459341,0.0005255635,0.0006159807,0.0005044578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003965983,"about_ca_system_score_gemma":0.0005257467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183184,"about_ca_topic_score_gemma":0.001408008,"domain_scores_codex":[0.9996568,0.00007134936,0.00001675583,0.0000783163,0.0001509215,0.00002582989],"domain_scores_gemma":[0.9996756,0.0001073463,0.00002736153,0.00004099882,0.0001380345,0.00001061305],"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":[0.0003941594,0.0001275171,0.0006152549,0.0003839667,0.00008404674,0.0001088918,0.0002013593,0.4704284,0.06807348,0.01725774,0.002568202,0.439757],"study_design_scores_gemma":[0.00001279549,0.00004701885,0.0001963464,0.000007155552,0.00001027519,0.00003575603,0.000005207722,0.9928815,0.004814337,0.001007298,0.000972578,0.000009626121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006468887,0.0001523247,0.9901929,0.00003702388,0.00004504996,0.00002576093,0.00001081523,0.0004389834,0.002628228],"genre_scores_gemma":[0.8293561,0.000188454,0.166686,0.0000671122,0.00005682283,0.0001255046,0.00006504477,0.000129838,0.003325016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002188263,"threshold_uncertainty_score":0.007320464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3177419652","doi":"10.1016/j.isatra.2021.06.029","title":"Fuzzy adaptive finite-time output feedback control of stochastic nonlinear systems","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; Department of Education of Liaoning Province; National Natural Science Foundation of China","keywords":"Backstepping; Control theory (sociology); Nonlinear system; Fuzzy logic; Bounded function; Controller (irrigation); Observer (physics); Computer science; Fuzzy control system; State observer; Adaptive control; Mathematics; Control (management); Artificial intelligence","authors":[{"name":"Libin Wang","is_ca":false},{"name":"Huanqing Wang","is_ca":false},{"name":"Peter Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01421477795625241,"gpt":0.2045018981535616,"spread":0.1902871201973092,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006547294,0.000490104,0.0006124329,0.0002790097,0.000475391,0.0009644975,0.0007677656,0.0008074301,0.001376373],"category_scores_gemma":[0.002179755,0.000231275,0.0004459212,0.0002785558,0.0007043869,0.0004086584,0.0005709619,0.0007903591,0.0001422193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006496868,"about_ca_system_score_gemma":0.0008655541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109373,"about_ca_topic_score_gemma":0.008892099,"domain_scores_codex":[0.9997084,0.00006292165,0.00001971676,0.00006143489,0.0001011826,0.00004640194],"domain_scores_gemma":[0.9994699,0.000245796,0.00007841644,0.00002608083,0.0001536635,0.00002612778],"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":[0.0002333052,0.00006550558,0.0003948665,0.0001364267,0.00007706859,0.0001272753,0.0001531035,0.9200613,0.01153585,0.01626142,0.000720686,0.05023314],"study_design_scores_gemma":[0.000009009254,0.00003112616,0.0001360601,0.000005345549,0.000005726302,0.000008000534,0.000004573777,0.9979686,0.0005605094,0.001052109,0.0002143723,0.000004502838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09306094,0.0006613325,0.8983627,0.0003661488,0.0003303437,0.00004117819,0.00005603406,0.0002961569,0.00682525],"genre_scores_gemma":[0.9862186,0.0001834554,0.01127466,0.00005082169,0.00004041924,0.00004171485,0.00003243184,0.00001174034,0.002146149],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01109373,"threshold_uncertainty_score":0.02205831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3183514578","doi":"10.1016/j.isatra.2021.07.036","title":"Adaptive robust synchronized control for cooperative robotic manipulators with uncertain base coordinate system","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":47,"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":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Control theory (sociology); Coordinate system; Base (topology); Computer science; Synchronization (alternating current); Controller (irrigation); Control engineering; Position (finance); Trajectory; Adaptive control; Coordinate space; Control (management); Engineering; Artificial intelligence; Mathematics; Physics","authors":[{"name":"Anbang Zhai","is_ca":false},{"name":"Jin Wang","is_ca":false},{"name":"Haiyun Zhang","is_ca":false},{"name":"Guodong Lu","is_ca":false},{"name":"Howard Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02388135104908961,"gpt":0.2131817236687941,"spread":0.1893003726197045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003823728,0.0007388882,0.0004655972,0.0003716018,0.0004323763,0.0006007222,0.0007479938,0.0004412475,0.001362344],"category_scores_gemma":[0.0009724184,0.0003699891,0.0003555555,0.0003674865,0.0007108391,0.0005688475,0.001171592,0.0003824219,0.000289355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004012624,"about_ca_system_score_gemma":0.0005613476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003528123,"about_ca_topic_score_gemma":0.003434391,"domain_scores_codex":[0.9996963,0.00005404447,0.00001796552,0.00009527756,0.00009826581,0.00003815305],"domain_scores_gemma":[0.9996589,0.00007869282,0.0001186136,0.00003705739,0.00009123088,0.00001547154],"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":[0.0003481201,0.00006612629,0.0007349558,0.0001731248,0.0001145442,0.0003317195,0.0003744737,0.8718771,0.03713326,0.0189968,0.001246315,0.06860343],"study_design_scores_gemma":[0.00003587005,0.0001818018,0.0004463847,0.000007230967,0.00001827118,0.00002244838,0.00002376614,0.9940719,0.002161635,0.002356425,0.0006662321,0.000007933518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0636283,0.0001583572,0.9311892,0.00008219525,0.00007785809,0.00003842459,0.00003205673,0.0002777039,0.004515868],"genre_scores_gemma":[0.9827734,0.00008882554,0.014586,0.00002357832,0.0000297913,0.00008793565,0.00004525508,0.00002197341,0.002343266],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003528123,"threshold_uncertainty_score":0.007015169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128006530","doi":"10.1016/j.isatra.2021.02.004","title":"High Performance MPPT based on TS Fuzzy–integral backstepping control for PV system under rapid varying irradiance—Experimental validation","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Centre National pour la Recherche Scientifique et Technique; Providence Health Care","keywords":"Maximum power point tracking; Photovoltaic system; MATLAB; Computer science; Backstepping; Control theory (sociology); Fuzzy logic; Tracking (education); Power (physics); Focus (optics); Control engineering; Control (management); Engineering; Adaptive control; Inverter; Artificial intelligence; Physics; Electrical engineering","authors":[{"name":"Hajar Doubabi","is_ca":false},{"name":"Issam Salhi","is_ca":false},{"name":"Mohammed Chennani","is_ca":false},{"name":"Najib Essounbouli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02050082466214206,"gpt":0.2476286019923186,"spread":0.2271277773301765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002583188,0.0003168683,0.0003683023,0.0001719271,0.0003183748,0.0003326496,0.0005375943,0.0004435426,0.001918383],"category_scores_gemma":[0.0005563057,0.0001229187,0.0001851336,0.0002400926,0.0002185944,0.0002798516,0.0001746552,0.0003718598,0.0002066444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217959,"about_ca_system_score_gemma":0.0002006955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002250354,"about_ca_topic_score_gemma":0.001916544,"domain_scores_codex":[0.9998114,0.00003800393,0.00001267481,0.00003684988,0.00008129678,0.0000199139],"domain_scores_gemma":[0.999708,0.0001128624,0.00003035121,0.00005018818,0.0000871432,0.0000114477],"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":[0.002381539,0.0006495405,0.002652269,0.001675701,0.0001109587,0.0004393967,0.0005877989,0.2387011,0.5915514,0.002007746,0.001402172,0.1578405],"study_design_scores_gemma":[0.0001606708,0.001376411,0.007308261,0.00002525605,0.00004129484,0.0001128351,0.00008094858,0.754757,0.234126,0.0004359705,0.001548672,0.00002664939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8711588,0.0002236321,0.1177103,0.0001072527,0.00006172647,0.0001661691,0.0002014864,0.001205008,0.009165546],"genre_scores_gemma":[0.9963722,0.0000189475,0.003170303,0.000004512976,0.000001254699,0.00002023758,0.00001389932,0.000006544554,0.0003921258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002250354,"threshold_uncertainty_score":0.006417632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074967068","doi":"10.1016/s0019-0578(07)60055-x","title":"A novel sliding-mode control of induction motor using space vector modulation technique","year":2005,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Hong Kong Polytechnic University; Concordia University; Beihang University; Nanyang Technological University","keywords":"Control theory (sociology); Sliding mode control; Induction motor; Space vector modulation; Direct torque control; Torque ripple; Ripple; Vector control; Robustness (evolution); Torque; Engineering; Variable structure control; Controller (irrigation); Control engineering; Computer science; Pulse-width modulation; Physics; Control (management); Nonlinear system; Voltage; Artificial intelligence","authors":[{"name":"Tian-Jun Fu","is_ca":true},{"name":"Wenfang Xie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01521270064608927,"gpt":0.2331026124797267,"spread":0.2178899118336375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001562046,0.0003468597,0.0004445583,0.0002302436,0.0002458941,0.0003788305,0.0005429543,0.0003798952,0.001430087],"category_scores_gemma":[0.0001697557,0.0001465219,0.0002225443,0.0002552665,0.0002912018,0.0003675726,0.0002128817,0.0003404203,0.0002812972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303807,"about_ca_system_score_gemma":0.0001855468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006620036,"about_ca_topic_score_gemma":0.0009150564,"domain_scores_codex":[0.9998914,0.00001401714,0.000009134635,0.00002496543,0.00005169687,0.000008688626],"domain_scores_gemma":[0.9999127,0.0000189918,0.00001221465,0.0000114126,0.00003608336,0.000008620175],"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":[0.0007165778,0.0002116722,0.0007325615,0.0005795574,0.00009276226,0.0004417681,0.000359232,0.03208374,0.3574372,0.01590608,0.003203309,0.5882356],"study_design_scores_gemma":[0.0002052004,0.001949134,0.003146556,0.00004058562,0.00009514749,0.0006188919,0.00004997928,0.9091412,0.06329246,0.002510301,0.01890273,0.00004771522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06798888,0.001160368,0.9230275,0.0001490386,0.0004083103,0.00006973511,0.00002888612,0.0007115953,0.006455625],"genre_scores_gemma":[0.9127933,0.0005221168,0.08003313,0.00006831656,0.0001552478,0.00008995573,0.00005071591,0.00002134152,0.006265807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001430087,"threshold_uncertainty_score":0.004784167,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2055543564","doi":"10.1016/j.isatra.2007.02.005","title":"Real-time comparison of a number of predictive controllers","year":2007,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Setpoint; Model predictive control; Control theory (sociology); Conditionality; Computer science; Control (management); Control engineering; Engineering; Artificial intelligence","authors":[{"name":"Ma’moun Abu-Ayyad","is_ca":true},{"name":"Rickey Dubay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006579137692910819,"gpt":0.2578409436960068,"spread":0.251261806003096,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001881126,0.0007140879,0.0007930811,0.0008928159,0.0003876483,0.0009023013,0.0007065528,0.0008564771,0.001951677],"category_scores_gemma":[0.005699402,0.0002734645,0.0002718201,0.0005262029,0.0003628961,0.0007900614,0.0003655529,0.0006687648,0.0001732779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006774131,"about_ca_system_score_gemma":0.0005332873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398173,"about_ca_topic_score_gemma":0.003447534,"domain_scores_codex":[0.9994397,0.0001383807,0.00004127826,0.00008304662,0.0002269335,0.00007066024],"domain_scores_gemma":[0.9959506,0.002767476,0.0002245364,0.0002265589,0.0007532838,0.00007757809],"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":[0.01150538,0.0008217397,0.003727843,0.0009605021,0.0004159712,0.0002202001,0.0002554739,0.5920269,0.04750986,0.004806997,0.002344229,0.3354049],"study_design_scores_gemma":[0.0002507688,0.001173102,0.005573954,0.00001944996,0.0001063285,0.00008379075,0.00005498088,0.9685477,0.02263646,0.0006941375,0.00082833,0.00003098381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8654721,0.003428119,0.1216342,0.000318444,0.000408653,0.0001392316,0.0002119027,0.001029347,0.007357988],"genre_scores_gemma":[0.991194,0.0001152622,0.00793045,0.00002695543,0.00001132959,0.00003118091,0.00009081377,0.00001793508,0.0005821476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003398173,"threshold_uncertainty_score":0.009948432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2778753992","doi":"10.1016/j.isatra.2017.12.012","title":"A method to remove chattering alarms using median filters","year":2017,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"ALARM; False alarm; Window (computing); Constant false alarm rate; Process (computing); Reduction (mathematics); Computer science; Real-time computing; Reliability engineering; Engineering; Algorithm; Artificial intelligence; Mathematics","authors":[{"name":"Yongkui Sun","is_ca":true},{"name":"Wen Tan","is_ca":false},{"name":"Tongwen Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02600148772402041,"gpt":0.2955724956678593,"spread":0.2695710079438389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009323757,0.001354208,0.001472524,0.001383002,0.0009746473,0.001140893,0.001164593,0.001585021,0.002851589],"category_scores_gemma":[0.003002067,0.000663909,0.001047171,0.000899287,0.000544427,0.001090224,0.001000479,0.00170937,0.001431311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004727715,"about_ca_system_score_gemma":0.001061205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818706,"about_ca_topic_score_gemma":0.002727225,"domain_scores_codex":[0.9989906,0.00008760366,0.00006570717,0.0002221681,0.0005371695,0.00009668983],"domain_scores_gemma":[0.998377,0.0006023326,0.0001448477,0.0002284455,0.000589472,0.00005795501],"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":[0.0009623535,0.0001818845,0.001511218,0.0002651143,0.0001914225,0.0003177229,0.0001824446,0.02145959,0.1659486,0.005558765,0.00359089,0.7998301],"study_design_scores_gemma":[0.00007902679,0.0004729085,0.004550667,0.00005926283,0.0002167765,0.0009925882,0.0001044414,0.735694,0.2354379,0.007452727,0.01482826,0.0001113653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005899431,0.0001830472,0.9923921,0.00004139652,0.0001021622,0.00001778216,0.0000305786,0.0008946907,0.0004388607],"genre_scores_gemma":[0.1277781,0.0002608078,0.8662211,0.0001447502,0.000164593,0.00007476461,0.0002376991,0.0002266887,0.004891535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002851589,"threshold_uncertainty_score":0.009539485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2781357780","doi":"10.1016/j.isatra.2017.12.019","title":"Velocity-free attitude coordinated tracking control for spacecraft formation flying","year":2017,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Angular velocity; Convergence (economics); Spacecraft; Observer (physics); Attitude control; Tracking (education); Trajectory; Stability (learning theory); Rate of convergence; Control (management); Computer science; Engineering; Control engineering; Physics; Aerospace engineering; Artificial intelligence; Psychology; Classical mechanics","authors":[{"name":"Qinglei Hu","is_ca":false},{"name":"Jian Zhang","is_ca":false},{"name":"Youmin Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03805126506354482,"gpt":0.2853496545115424,"spread":0.2472983894479975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002346427,0.0003532277,0.0003950952,0.0002138578,0.000378393,0.0004750032,0.0005184141,0.0003335407,0.000990247],"category_scores_gemma":[0.0007187562,0.0002297997,0.0002154587,0.0002450978,0.0003945231,0.0004263523,0.0008348957,0.00045393,0.0001823584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955672,"about_ca_system_score_gemma":0.0005430212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006880691,"about_ca_topic_score_gemma":0.005593305,"domain_scores_codex":[0.9998645,0.00002201918,0.00000474186,0.00003311023,0.00004874646,0.00002687825],"domain_scores_gemma":[0.9997941,0.00005380306,0.00004218506,0.00002358068,0.000068701,0.00001776853],"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":[0.0002109932,0.00005641242,0.0005356157,0.00005155131,0.00004116297,0.00005711257,0.0001362471,0.9070355,0.01048971,0.009511212,0.001614729,0.07025979],"study_design_scores_gemma":[0.0000150877,0.0000703368,0.000231829,0.000002226552,0.000005748159,0.000008573493,0.00001068417,0.9966301,0.0008510043,0.001792339,0.0003785267,0.000003526092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08830243,0.0003273001,0.905131,0.0001855827,0.00014645,0.00002333341,0.00003881602,0.000236588,0.005608381],"genre_scores_gemma":[0.9859217,0.00006440647,0.01201253,0.00003039728,0.00002044569,0.00002041277,0.00003028683,0.00001460411,0.001885254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006880691,"threshold_uncertainty_score":0.01368129,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2021877058","doi":"10.1016/j.isatra.2013.08.004","title":"Real time simulation of nonlinear generalized predictive control for wind energy conversion system with nonlinear observer","year":2013,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Control theory (sociology); Nonlinear system; Torque; Turbine; Wind power; Aerodynamics; Robustness (evolution); Model predictive control; Control engineering; Engineering; Computer science; Control (management)","authors":[{"name":"Kamel Ouari","is_ca":false},{"name":"Toufik Rekioua","is_ca":false},{"name":"Mohand Ouhrouche","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006848354247776392,"gpt":0.1896363205980194,"spread":0.182787966350243,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004409233,0.0005180128,0.0004912494,0.0003170436,0.0002954589,0.0005873165,0.0005802842,0.0008670845,0.004561402],"category_scores_gemma":[0.001110026,0.0002282767,0.0004287327,0.0001792748,0.0004757677,0.0004430347,0.000403202,0.0007579991,0.0002546631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004543235,"about_ca_system_score_gemma":0.0004469885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01826162,"about_ca_topic_score_gemma":0.01065421,"domain_scores_codex":[0.9997882,0.00006277169,0.00001473611,0.00002476816,0.00006915535,0.00004028905],"domain_scores_gemma":[0.9993592,0.0003293932,0.00006603608,0.0000595821,0.0001579959,0.00002788692],"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":[0.0002239621,0.00005291546,0.0008839094,0.00008339161,0.00002131487,0.0001284733,0.00007105846,0.9910993,0.002429103,0.0010612,0.0003632239,0.003582102],"study_design_scores_gemma":[0.00001717249,0.00003577676,0.0003619189,0.000002301011,0.000003418408,0.000004043823,0.00001066198,0.9986377,0.0007023371,0.0001127255,0.0001090978,0.000002857778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8324772,0.0002230703,0.1369854,0.0004668493,0.0003619188,0.000129164,0.0006762161,0.001936395,0.02674378],"genre_scores_gemma":[0.9964373,0.0000224607,0.002204448,0.00001184761,0.000002593749,0.00002676319,0.000103739,0.00001933683,0.001171511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01826162,"threshold_uncertainty_score":0.03631061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3003471925","doi":"10.1016/j.isatra.2020.01.033","title":"Adaptive filtering enhanced windowed correlated kurtosis for multiple faults diagnosis of locomotive bearings","year":2020,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; Aerostatic Science Foundation; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Kurtosis; Fault (geology); SIGNAL (programming language); Noise (video); Computer science; Wavelet; Bearing (navigation); Basis (linear algebra); Engineering; Algorithm; Control theory (sociology); Electronic engineering; Artificial intelligence; Mathematics","authors":[{"name":"Chunlin Zhang","is_ca":false},{"name":"Yuling Liu","is_ca":false},{"name":"Fangyi Wan","is_ca":false},{"name":"Binqiang Chen","is_ca":false},{"name":"Jie Liu","is_ca":true},{"name":"Bingbing Hu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02073371352053467,"gpt":0.2392666355213714,"spread":0.2185329220008367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003519145,0.0005425228,0.0003823426,0.0007017463,0.0001993752,0.0003792267,0.0003447496,0.0003792106,0.0008339146],"category_scores_gemma":[0.001148787,0.0001825547,0.0003892159,0.0005372444,0.0001525362,0.0005971011,0.0003209781,0.0003933671,0.0003525492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188658,"about_ca_system_score_gemma":0.0003184701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519856,"about_ca_topic_score_gemma":0.002020736,"domain_scores_codex":[0.9997929,0.00003575234,0.00001664323,0.00004634173,0.00008484531,0.00002345709],"domain_scores_gemma":[0.9995956,0.0001405642,0.00005077078,0.00003238978,0.0001658244,0.00001479271],"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":[0.001231747,0.0001955172,0.003952571,0.000308345,0.0001445987,0.0003612353,0.0001641835,0.1574869,0.2382377,0.00306682,0.001876703,0.5929737],"study_design_scores_gemma":[0.00001271791,0.0001362786,0.003468355,0.000009846205,0.00003759452,0.0001257336,0.00001991047,0.9757922,0.01899169,0.0005199483,0.0008688898,0.00001685444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1210471,0.0005765098,0.8765895,0.00007070393,0.0001293996,0.00002805175,0.00008666958,0.0004572762,0.001014684],"genre_scores_gemma":[0.8637457,0.0004905175,0.1329626,0.00004082497,0.00007788711,0.0000373843,0.0002261528,0.00006905136,0.00234987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001519856,"threshold_uncertainty_score":0.003022015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061840454","doi":"10.1016/j.isatra.2007.12.002","title":"Control of nonlinear processes by using linear model predictive control algorithms","year":2008,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Nonlinear system; Control theory (sociology); Process (computing); Process control; Controller (irrigation); Simple (philosophy); Algorithm; Computer science; Nonlinear control; Control (management); Control engineering; Engineering; Artificial intelligence","authors":[{"name":"Bingfeng Gu","is_ca":true},{"name":"Yash P. Gupta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01242718561789777,"gpt":0.2221536275273222,"spread":0.2097264419094245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006270709,0.0006629372,0.0006960336,0.0003487263,0.0004589066,0.001199946,0.0007038661,0.0005760062,0.001372631],"category_scores_gemma":[0.001573906,0.0003140317,0.0003954718,0.0005292943,0.0006777601,0.001085219,0.0007674046,0.000928017,0.0003530727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037876,"about_ca_system_score_gemma":0.000558947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553017,"about_ca_topic_score_gemma":0.003190029,"domain_scores_codex":[0.9997186,0.00007272704,0.00001628028,0.00005067481,0.0001167815,0.00002491193],"domain_scores_gemma":[0.9996574,0.0001719967,0.00005395462,0.00003843297,0.00006943157,0.000008777603],"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":[0.0001151387,0.00006888548,0.0002603582,0.0001960156,0.00005247052,0.00005266724,0.0001014775,0.834953,0.006465181,0.01643447,0.001144552,0.1401558],"study_design_scores_gemma":[0.000007467203,0.0000215971,0.00004076848,0.000003935949,0.000006166929,0.000005124719,0.000002856078,0.9960974,0.0009842479,0.002399438,0.0004274028,0.000003635217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009684893,0.0004557188,0.9867133,0.0001133466,0.00008735692,0.00002197522,0.000016858,0.0003493917,0.002557296],"genre_scores_gemma":[0.8516366,0.0008125895,0.1415104,0.0001063557,0.0001387311,0.0001461351,0.00008160809,0.00006151928,0.005506061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003553017,"threshold_uncertainty_score":0.007064641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1970304041","doi":"10.1016/s0019-0578(07)60183-9","title":"Online optimization of fuzzy-PID control of a thermal process","year":2005,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Setpoint; PID controller; Control theory (sociology); Overshoot (microwave communication); Settling time; Benchmark (surveying); Fuzzy logic; Model predictive control; Control engineering; Computer science; Process (computing); Engineering; Temperature control; Control (management); Step response; Artificial intelligence","authors":[{"name":"S.E. Mansour","is_ca":true},{"name":"G. Kember","is_ca":true},{"name":"Rickey Dubay","is_ca":true},{"name":"Brent Robertson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005809572292063496,"gpt":0.2186867320801871,"spread":0.2128771597881236,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009116746,0.0006645303,0.001004454,0.0003226791,0.0005565534,0.001217833,0.0007348942,0.001014404,0.001932085],"category_scores_gemma":[0.001770235,0.0004607282,0.0004120329,0.0002307402,0.0006155294,0.0006963106,0.0005418613,0.0007456181,0.0002072818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000925161,"about_ca_system_score_gemma":0.00101401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009464416,"about_ca_topic_score_gemma":0.00712608,"domain_scores_codex":[0.9997095,0.00007186607,0.00001123977,0.00006570036,0.00008831394,0.00005336585],"domain_scores_gemma":[0.9994969,0.000278438,0.0000527576,0.00003353138,0.0001138164,0.00002445609],"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":[0.0002562228,0.0001022537,0.0002355339,0.00005418287,0.0000189437,0.00004640212,0.00002487135,0.9696561,0.005104234,0.001440955,0.0002794507,0.02278096],"study_design_scores_gemma":[0.000006355094,0.00002197744,0.00005953709,8.046576e-7,0.000002528624,0.000002093007,0.00000144073,0.9989377,0.0007440923,0.0001698333,0.00005186464,0.000001758956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1855406,0.0004351326,0.8015678,0.0003387642,0.0001997768,0.00008796877,0.00005592018,0.0006027625,0.01117137],"genre_scores_gemma":[0.9852251,0.0000380413,0.0131084,0.00001953252,0.00001128842,0.00002482579,0.0000138603,0.00001887147,0.001540103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009464416,"threshold_uncertainty_score":0.01881868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2904955113","doi":"10.1016/j.isatra.2018.12.009","title":"Study on internal stress damage detection in long-distance oil and gas pipelines via weak magnetic method","year":2018,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; University of Toronto","funders":"","keywords":"Pipeline transport; Stress (linguistics); Petroleum engineering; Internal stress; Structural engineering; Materials science; Engineering; Composite material; Mechanical engineering","authors":[{"name":"Bin Liu","is_ca":false},{"name":"Luyao He","is_ca":false},{"name":"Zeyu Ma","is_ca":false},{"name":"Hai Zhang","is_ca":true},{"name":"Стефано Сфарра","is_ca":false},{"name":"Henrique Fernandes","is_ca":false},{"name":"Stefano Perilli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01418273883123945,"gpt":0.2822833394720277,"spread":0.2681006006407883,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001774436,0.000235147,0.0001840136,0.0004035691,0.0002478101,0.0001861166,0.0002605275,0.0002602946,0.0007847236],"category_scores_gemma":[0.0003901616,0.0001059646,0.0001586899,0.0002037929,0.0003879979,0.000428679,0.0001618381,0.0001936405,0.00009980985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564774,"about_ca_system_score_gemma":0.000123885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007008698,"about_ca_topic_score_gemma":0.0009698421,"domain_scores_codex":[0.9998366,0.00001702372,0.000004484611,0.00003644967,0.00008376738,0.00002165955],"domain_scores_gemma":[0.9996449,0.0001084252,0.00005863072,0.00002679803,0.0001356101,0.00002565733],"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":[0.0002931964,0.00006204579,0.009614571,0.0001922053,0.00002310223,0.0003489992,0.0003848602,0.002538445,0.960517,0.0008115688,0.0002025056,0.02501143],"study_design_scores_gemma":[0.00002625527,0.001760426,0.08262077,0.00003452418,0.0001197447,0.001286708,0.00089279,0.09430765,0.8150896,0.0006357395,0.003168389,0.00005746718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785039,0.0003572888,0.01920247,0.00006652216,0.00001912644,0.0000116689,0.00002362858,0.00005637178,0.00175904],"genre_scores_gemma":[0.9978055,0.00008495111,0.001416157,0.000008304913,0.000006118008,0.00000215065,0.000008801114,0.000004276911,0.0006637204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007847236,"threshold_uncertainty_score":0.002625167,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903995359","doi":"10.1016/j.isatra.2018.12.008","title":"Nonlinear model predictive control of a Hammerstein Weiner model based experimental managed pressure drilling setup","year":2018,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Setpoint; Control theory (sociology); Controller (irrigation); Choke; Pressure control; Model predictive control; Well control; Engineering; Nonlinear system; Underbalanced drilling; Flow (mathematics); Drilling; Drilling fluid; Computer science; Control (management); Mechanics; Mechanical engineering; Physics","authors":[{"name":"Al Amin","is_ca":true},{"name":"Syed Imtiaz","is_ca":true},{"name":"Faisal Khan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00837471059732472,"gpt":0.2047153470493882,"spread":0.1963406364520635,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003857198,0.0004267771,0.0005612243,0.0001825434,0.0004252894,0.0007990078,0.0006785764,0.0007283832,0.002164888],"category_scores_gemma":[0.000556267,0.0002292935,0.0003241969,0.0001688342,0.0005460006,0.0004867929,0.0005242234,0.0006447561,0.000212372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004703267,"about_ca_system_score_gemma":0.0007748089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006807648,"about_ca_topic_score_gemma":0.006337928,"domain_scores_codex":[0.9998218,0.00003803739,0.00001173419,0.00004257845,0.00005916057,0.000026722],"domain_scores_gemma":[0.9997082,0.0001173208,0.00005308245,0.00003875855,0.00006690805,0.00001574691],"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":[0.0005798233,0.0001349779,0.0007820899,0.000248233,0.00003721888,0.0001701866,0.0001395357,0.9137027,0.063856,0.002846194,0.0004494546,0.01705364],"study_design_scores_gemma":[0.00003517887,0.0001616624,0.000588494,0.000005372532,0.00000966073,0.000007498541,0.00001503512,0.990522,0.00805637,0.0003110492,0.0002757462,0.00001186658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6871636,0.0002239758,0.2968839,0.0004493396,0.0001485946,0.0001707279,0.0004193443,0.001158363,0.01338211],"genre_scores_gemma":[0.9959616,0.00001909979,0.002975322,0.000007458777,0.000001799448,0.00003058696,0.00003575923,0.000005070306,0.0009633086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006807648,"threshold_uncertainty_score":0.01353604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903102125","doi":"10.1016/j.isatra.2018.12.006","title":"Robust model predictive control for switched linear systems","year":2018,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Model predictive control; Control theory (sociology); Computer science; Control (management); Artificial intelligence","authors":[{"name":"Peyman Sindareh‐Esfahani","is_ca":true},{"name":"Jeffrey Kurt Pieper","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01900516547455096,"gpt":0.2223957123213401,"spread":0.2033905468467891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008933822,0.001033752,0.001094679,0.0005287545,0.0004128245,0.001412767,0.001058499,0.0008629124,0.002787621],"category_scores_gemma":[0.002545873,0.0004936673,0.0005978753,0.0005957133,0.00092807,0.0007903784,0.0009718047,0.001426507,0.0004827653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006736452,"about_ca_system_score_gemma":0.0009465281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009291568,"about_ca_topic_score_gemma":0.005669516,"domain_scores_codex":[0.9995012,0.0001376523,0.00002748646,0.00009797222,0.000168785,0.00006682821],"domain_scores_gemma":[0.9992611,0.0003810922,0.0001169633,0.00008894953,0.0001360607,0.00001590309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001233203,0.00003574006,0.0001157784,0.0001510148,0.00007113002,0.00006060948,0.00005418341,0.9309197,0.002682741,0.01481199,0.001651554,0.04932222],"study_design_scores_gemma":[0.000009479319,0.00003111379,0.0000574464,0.000005363508,0.000007584273,0.000004361013,0.000003380761,0.9947142,0.0004029497,0.004418237,0.0003419413,0.000003863006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01637361,0.0009956902,0.9751902,0.0003710124,0.0001921704,0.00003739688,0.00009716419,0.0008974833,0.00584532],"genre_scores_gemma":[0.9708459,0.0004872284,0.02384543,0.0001094352,0.0001201232,0.0001237546,0.0001985442,0.00008526618,0.004184214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009291568,"threshold_uncertainty_score":0.01847494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}