{"meta":{"query_hash":"90713c4dc789","filters":{"venue":"Mathematical Problems in Engineering"},"cohort_total":229,"direct_labels_cover":1,"predictions_cover":229,"exported":229,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/90713c4dc789","api":"https://metacan.xera.ac/api/v1/cohort?venue=Mathematical+Problems+in+Engineering"},"results":[{"id":"W1481591881","doi":"10.1155/2015/591352","title":"Numerical Simulation of Vibration Deflection Effects on the Energy Efficiency of Ultrasonic Transducer for Sonochemistry","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Ultrasound and Cavitation Phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transducer; Materials science; Deflection (physics); Algorithm; Computer science; Acoustics; Physics; Optics","score_opus":0.01803797426296457,"score_gpt":0.24093464394458175,"score_spread":0.22289666968161717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481591881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8389739,0.0008977963,0.12183811,0.0007589546,0.00017895186,0.00009227549,0.0006237284,0.0005360074,0.036100395],"genre_scores_gemma":[0.97901917,0.00025457784,0.01702154,0.000047657864,0.000010279672,0.00008491,0.00015255099,0.000047898855,0.003361404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998128,0.00003844173,0.000009797692,0.000023305329,0.000064570355,0.00005111371],"domain_scores_gemma":[0.99926,0.0004598272,0.00007793146,0.00003681734,0.00013092501,0.000034470515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039462585,0.00045970778,0.0005786932,0.00043679736,0.00051528733,0.0006083884,0.00065630814,0.0014641755,0.00277115],"category_scores_gemma":[0.0014951875,0.00037739766,0.00057518354,0.0007501877,0.00059529673,0.00049154984,0.0004712853,0.00047569536,0.00021170967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052196763,0.000025653939,0.0010331658,0.00006369583,0.000009125855,0.00009798427,0.00006028725,0.9894671,0.005303351,0.0015547569,0.00024047337,0.0020923116],"study_design_scores_gemma":[0.0000057000857,0.000013445251,0.00021737356,0.0000049040104,0.0000030794524,0.000007822183,0.000017258957,0.99830306,0.0010537193,0.00018147679,0.00018735323,0.0000047401477],"about_ca_topic_score_codex":0.009297381,"about_ca_topic_score_gemma":0.0046291314,"teacher_disagreement_score":0.009297381,"about_ca_system_score_codex":0.0006951907,"about_ca_system_score_gemma":0.0007032677,"threshold_uncertainty_score":0.0184865},"labels":[],"label_agreement":null},{"id":"W1494789472","doi":"10.1155/2015/371272","title":"Ultrahigh Frequency Data Liquidity Duration Estimation: A Case Study of Chinese A Shares","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Market microstructure; Liquidity risk; Business; Duration (music); Econometrics; Accounting liquidity; Liquidity crisis; Financial economics; Economics; Order (exchange); Finance","score_opus":0.0906000876347417,"score_gpt":0.2665199872519111,"score_spread":0.17591989961716942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494789472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706095,0.00009424986,0.0020754763,0.00010197149,0.000001770876,0.000015641159,0.000106172396,0.000014203744,0.000529486],"genre_scores_gemma":[0.9970612,0.00008603346,0.0021882253,0.0000132464975,0.000007727026,0.000007986676,0.00013969911,0.0000049417417,0.00049083406],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963844,0.000109781664,0.000031502357,0.00006661656,0.00009183875,0.000061859224],"domain_scores_gemma":[0.9974693,0.0015601807,0.000325277,0.00020416519,0.00030723974,0.00013372915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012102062,0.00039754118,0.0003038302,0.0015305191,0.00074502366,0.0007585944,0.0007791607,0.00078360416,0.0009877984],"category_scores_gemma":[0.0033067318,0.00015979014,0.00047151782,0.001622407,0.0005616907,0.00094322284,0.0007398937,0.00036808537,0.00012782974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052685855,0.0007679273,0.8141464,0.00022167819,0.00021124881,0.023837043,0.0056763766,0.059396226,0.0076572034,0.0077731963,0.0013162957,0.078469425],"study_design_scores_gemma":[0.0000906141,0.0005180276,0.46708527,0.0000716835,0.0002640291,0.003571426,0.008877241,0.50027794,0.008775901,0.0062039304,0.004121642,0.00014223863],"about_ca_topic_score_codex":0.049795438,"about_ca_topic_score_gemma":0.03941563,"teacher_disagreement_score":0.049795438,"about_ca_system_score_codex":0.0009078792,"about_ca_system_score_gemma":0.00065396546,"threshold_uncertainty_score":0.09901124},"labels":[],"label_agreement":null},{"id":"W1498765256","doi":"10.1155/2015/271374","title":"A Study on Development of Engine Fault Diagnostic System","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Internet of Things and Social Network Interactions","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dong-Eui University; International Development Research Centre","keywords":"Protocol (science); Fault (geology); Transmission (telecommunications); Computer science; Real-time computing; Embedded system; Communications protocol; Simple (philosophy); Data transmission; Automotive engineering; Engineering; Computer hardware; Operating system; Telecommunications","score_opus":0.031656252151228345,"score_gpt":0.2563985971856181,"score_spread":0.22474234503438972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498765256","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255671,0.0019286948,0.03709167,0.00109095,0.00013380098,0.0003921207,0.0001129452,0.00033014145,0.033352505],"genre_scores_gemma":[0.9699238,0.0015589072,0.016867192,0.00014023276,0.000033533892,0.000085684806,0.00017201812,0.000043462718,0.011175144],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998912,0.00032331055,0.000064848915,0.00017528806,0.00041747163,0.00010704972],"domain_scores_gemma":[0.9982268,0.00048715493,0.00012346053,0.00014213147,0.0008836451,0.00013667582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009942132,0.00022973045,0.00016767257,0.00072778127,0.0004539629,0.00089673384,0.00062757824,0.000521039,0.0021307587],"category_scores_gemma":[0.004350981,0.00015676081,0.00022914111,0.00037136863,0.00022663978,0.0013354867,0.00041219237,0.0003481954,0.00047741315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067173253,0.0015510205,0.18807769,0.0015419275,0.00009963082,0.0044925422,0.013913989,0.015701,0.0723644,0.024288135,0.00965977,0.6676382],"study_design_scores_gemma":[0.0002832732,0.00852097,0.21538647,0.00108851,0.0006264528,0.008609331,0.025298785,0.17560732,0.22721778,0.005421474,0.3316707,0.00026894803],"about_ca_topic_score_codex":0.0026801033,"about_ca_topic_score_gemma":0.001677027,"teacher_disagreement_score":0.0026801033,"about_ca_system_score_codex":0.0006929487,"about_ca_system_score_gemma":0.00095742755,"threshold_uncertainty_score":0.00712806},"labels":[],"label_agreement":null},{"id":"W1506522060","doi":"10.1155/2015/425186","title":"Analytical Framework for End-to-End Delay Based on Unidirectional Highway Scenario","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Universiti Teknikal Malaysia Melaka","keywords":"Carry (investment); Computer science; Network packet; Wireless ad hoc network; Vehicular ad hoc network; Computer network; Simulation; Topology (electrical circuits); Engineering; Telecommunications; Wireless; Electrical engineering","score_opus":0.023721318911387675,"score_gpt":0.24260411985806934,"score_spread":0.21888280094668167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506522060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024176586,0.001833633,0.95866114,0.0005890906,0.00017426102,0.00009819342,0.00030870817,0.00026388722,0.013894499],"genre_scores_gemma":[0.92443156,0.0053252885,0.056746066,0.00023833611,0.00029035684,0.0003040845,0.0003407843,0.0001387589,0.012184708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992085,0.00018063498,0.00003148277,0.00017452065,0.00018933706,0.00021557185],"domain_scores_gemma":[0.9987147,0.0005811234,0.00017555135,0.00005344795,0.0004151007,0.000060004502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011291207,0.0011500583,0.00073376653,0.0017044612,0.0007215047,0.0014977254,0.0023491057,0.0010460728,0.003423761],"category_scores_gemma":[0.003539021,0.00048685764,0.0007038621,0.0016737195,0.0009171632,0.0023956683,0.0011768697,0.0010406218,0.0007992762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004520658,0.000037412152,0.000758537,0.0001574945,0.000028023853,0.0003625754,0.00020736031,0.82803816,0.0027592266,0.15459573,0.0028363643,0.010174],"study_design_scores_gemma":[0.0000036777378,0.000028513381,0.00017376513,0.000017255195,0.000015689415,0.00012402576,0.0000917308,0.98187906,0.00031055845,0.015354474,0.001985205,0.000016128477],"about_ca_topic_score_codex":0.008193635,"about_ca_topic_score_gemma":0.0044575394,"teacher_disagreement_score":0.008193635,"about_ca_system_score_codex":0.0027137927,"about_ca_system_score_gemma":0.0014858899,"threshold_uncertainty_score":0.019690096},"labels":[],"label_agreement":null},{"id":"W1520774566","doi":"10.1155/2015/274530","title":"A Decision Optimization Model for Leased Manufacturing Equipment with Warranty under Forecasting Production/Maintenance Problem","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Warranty; Lease; Purchasing; Production (economics); Order (exchange); Operations research; Business; Computer science; Operations management; Engineering; Economics; Microeconomics; Finance","score_opus":0.03263666116965983,"score_gpt":0.21510007750250976,"score_spread":0.18246341633284993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520774566","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075353324,0.001697316,0.8973675,0.0017748848,0.0001655663,0.00020630463,0.0006889349,0.0002348504,0.022511428],"genre_scores_gemma":[0.9342728,0.0012310421,0.044050995,0.0001854187,0.00010153918,0.0004141777,0.00042744412,0.00006221888,0.019254211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986998,0.00044510487,0.000057141067,0.0003081232,0.00018662223,0.0003031189],"domain_scores_gemma":[0.9982603,0.0010817349,0.00025800438,0.00004119512,0.00022300646,0.00013578964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022859732,0.0015512162,0.002566,0.0008852033,0.00078130537,0.0028998223,0.0026339216,0.0037823622,0.0063580554],"category_scores_gemma":[0.0031358327,0.001020216,0.0014956966,0.0012600519,0.0011745672,0.0015966023,0.0012403842,0.0027263684,0.00054490234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051506733,0.00003905529,0.0002773234,0.000073366646,0.000027699973,0.00016435537,0.000052464246,0.97036576,0.0005179235,0.0255129,0.0005571315,0.0023605803],"study_design_scores_gemma":[0.000010636117,0.0000151340055,0.00007738999,0.0000063648677,0.00000993881,0.000012740647,0.00001429988,0.9963701,0.00005547072,0.003195231,0.00022604367,0.000006736258],"about_ca_topic_score_codex":0.015126636,"about_ca_topic_score_gemma":0.0069499337,"teacher_disagreement_score":0.015126636,"about_ca_system_score_codex":0.002799766,"about_ca_system_score_gemma":0.0022445866,"threshold_uncertainty_score":0.030077219},"labels":[],"label_agreement":null},{"id":"W1521975135","doi":"10.1155/2015/496258","title":"Motion Constraints and Trajectory Planning of a Planar Active Dynamic Balancing Mechanism","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Trajectory; Constraint (computer-aided design); Control theory (sociology); Mechanism (biology); Motion planning; Collision; Computer science; Collision avoidance; Planar; Mathematical optimization; Control (management); Engineering; Mathematics; Robot; Physics; Artificial intelligence; Mechanical engineering","score_opus":0.020710377173658916,"score_gpt":0.237660661763636,"score_spread":0.2169502845899771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521975135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024015523,0.00006043546,0.97308934,0.00006700565,0.000015296124,0.000023594077,0.000028121989,0.000125221,0.0025756306],"genre_scores_gemma":[0.80438346,0.00018511395,0.19004814,0.00002625752,0.00001877038,0.00014278956,0.00009860229,0.000026381742,0.0050704107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999043,0.000017425844,0.0000049480686,0.000020266836,0.00003805878,0.000014934567],"domain_scores_gemma":[0.9998845,0.00002943405,0.00003629265,0.000015055795,0.000023919127,0.000010863971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023656285,0.00046113218,0.0002449394,0.00034583925,0.00034419104,0.0003830423,0.00082946196,0.0005473181,0.0022893352],"category_scores_gemma":[0.0004550957,0.00027835587,0.00021225418,0.00033339698,0.00047736263,0.00063768576,0.0006682994,0.00040223938,0.0002742713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008551506,0.000027071465,0.00038666432,0.00009125787,0.00001646824,0.00024212855,0.00012723323,0.8331057,0.023306677,0.06666828,0.0006680791,0.07527491],"study_design_scores_gemma":[0.00001828157,0.0000634583,0.000118983415,0.00000725499,0.0000059623817,0.00004275567,0.000021153019,0.98729205,0.0023568964,0.007590917,0.0024743741,0.000007950604],"about_ca_topic_score_codex":0.0017819282,"about_ca_topic_score_gemma":0.0016201548,"teacher_disagreement_score":0.0022893352,"about_ca_system_score_codex":0.000215485,"about_ca_system_score_gemma":0.00053991895,"threshold_uncertainty_score":0.007658541},"labels":[],"label_agreement":null},{"id":"W1527086115","doi":"10.1155/2015/132517","title":"Decentralized Finite-Time<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>Connective Control for a Class of Large-Scale Systems with Different Structural Forms","year":2015,"lang":"lv","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Algorithm; Computer science; Scale (ratio); Artificial intelligence; Physics","score_opus":0.014793247049816412,"score_gpt":0.22302578005196028,"score_spread":0.20823253300214387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527086115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10053818,0.00025533454,0.8870474,0.00062625314,0.000057694077,0.00008995987,0.00013924662,0.000101280784,0.011144644],"genre_scores_gemma":[0.96492577,0.00032753337,0.028201928,0.00006994716,0.000051838677,0.000107127635,0.00013967894,0.000019978026,0.006156104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955255,0.0001122837,0.00001449363,0.000158501,0.00010427406,0.000057822126],"domain_scores_gemma":[0.9983076,0.0009630698,0.00036237334,0.000116699484,0.00014370719,0.00010647439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095926004,0.0005334912,0.00048309765,0.00022339188,0.00048264794,0.0010784268,0.00094382826,0.0008404885,0.0032623517],"category_scores_gemma":[0.0029604814,0.00023230532,0.00055247947,0.00029153036,0.0011878484,0.0013833572,0.00086334825,0.0010806698,0.00019602239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012752479,0.00007326856,0.00066021434,0.00019186562,0.000039228344,0.00029895524,0.00019033966,0.72077847,0.0061636153,0.2527117,0.0011275666,0.017637268],"study_design_scores_gemma":[0.000048276666,0.00008373501,0.00032664786,0.000009038139,0.00001434079,0.00005034213,0.00005365545,0.9442673,0.0009632112,0.053209748,0.0009627413,0.000010954916],"about_ca_topic_score_codex":0.002999813,"about_ca_topic_score_gemma":0.003038329,"teacher_disagreement_score":0.0032623517,"about_ca_system_score_codex":0.0014593287,"about_ca_system_score_gemma":0.001239852,"threshold_uncertainty_score":0.01091361},"labels":[],"label_agreement":null},{"id":"W1538008266","doi":"10.1155/2015/918045","title":"Advanced Time Series Forecasting Methods","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Series (stratigraphy); Time series; Computer science; Econometrics; Mathematics; Machine learning; Geology","score_opus":0.03494468314731656,"score_gpt":0.26043454930570753,"score_spread":0.22548986615839098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538008266","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050098766,0.0020200184,0.98896664,0.00027131286,0.00037232725,0.000040912648,0.0001743012,0.00029362531,0.0028510524],"genre_scores_gemma":[0.28010103,0.0067746327,0.6895817,0.00035156403,0.0015470107,0.0003788625,0.0015529124,0.00025340662,0.019458914],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913543,0.00028906582,0.00007564962,0.00021188862,0.00023465566,0.000053337237],"domain_scores_gemma":[0.9982095,0.0008996423,0.00012975941,0.00021952219,0.0004954691,0.00004621123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019423355,0.0013529267,0.0014827091,0.0015848782,0.00043702667,0.0013977861,0.0014277119,0.0011869922,0.0054895007],"category_scores_gemma":[0.0047568385,0.00038966924,0.0013353404,0.0025035085,0.00036951125,0.0016972327,0.00088942295,0.0020160116,0.0026565492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012620391,0.00012609527,0.0019505532,0.0003275866,0.00032970266,0.0001263783,0.00010002248,0.30613917,0.0035568979,0.056808013,0.009072253,0.62133706],"study_design_scores_gemma":[0.000011066404,0.000023515458,0.00035763954,0.00002210371,0.000032863492,0.000033867425,0.0000074053687,0.97868663,0.00046644607,0.016257824,0.0040914784,0.000009173601],"about_ca_topic_score_codex":0.002843556,"about_ca_topic_score_gemma":0.0022242153,"teacher_disagreement_score":0.0054895007,"about_ca_system_score_codex":0.00043908806,"about_ca_system_score_gemma":0.0007878547,"threshold_uncertainty_score":0.018364191},"labels":[],"label_agreement":null},{"id":"W1556630114","doi":"10.1155/2015/920692","title":"Numerical Simulations of Gravity Driven Reversible Reactive Flows in Homogeneous Porous Media","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Waterloo","funders":"Western Canada Research Grid","keywords":"Instability; Mechanics; Porous medium; Convective instability; Flow (mathematics); Chemical reaction; Convection; Viscous fingering; Nonlinear system; Attenuation; Diffusion; Homogeneous; Thermodynamics; Materials science; Physics; Chemistry; Porosity","score_opus":0.027698688405525976,"score_gpt":0.2434657996596967,"score_spread":0.21576711125417072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556630114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968488,0.0001983217,0.0209981,0.00026365698,0.00005432341,0.00007417769,0.0003182686,0.00017448064,0.009430693],"genre_scores_gemma":[0.9915764,0.00009237977,0.0068280306,0.00002934917,0.000006139595,0.000056643104,0.00011938857,0.000014489057,0.0012771621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998635,0.000028524322,0.000008667751,0.000019652533,0.000037372818,0.000042117117],"domain_scores_gemma":[0.99923813,0.00046632762,0.00010715341,0.000036923146,0.00008495867,0.00006650865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003271851,0.00041468872,0.000618048,0.00055192737,0.00057300297,0.00065222074,0.0009198976,0.0011067917,0.001700865],"category_scores_gemma":[0.0013655182,0.00026754837,0.0004630871,0.0005943284,0.0010123666,0.00038520095,0.0005923214,0.00054579455,0.00010469881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000642226,0.000055276814,0.0009449537,0.000034250646,0.0000107474425,0.00007606313,0.00004533252,0.9931504,0.0023701326,0.0021509323,0.0000679418,0.001029789],"study_design_scores_gemma":[0.000012489899,0.000027677672,0.000228823,0.000003406651,0.0000027589583,0.0000063322586,0.000016907441,0.99854195,0.00077134726,0.00028923483,0.00009515647,0.000003860536],"about_ca_topic_score_codex":0.012679762,"about_ca_topic_score_gemma":0.0056642033,"teacher_disagreement_score":0.012679762,"about_ca_system_score_codex":0.00095885433,"about_ca_system_score_gemma":0.00096615666,"threshold_uncertainty_score":0.02521193},"labels":[],"label_agreement":null},{"id":"W1586623734","doi":"10.1155/2015/530147","title":"A Core Model for Parts Suppliers Selecting Method in Manufacturing Supply Chain","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Supply chain; Core (optical fiber); Enhanced Data Rates for GSM Evolution; Vertex (graph theory); Computer science; Key (lock); Service (business); Mathematical optimization; Mathematics; Business; Artificial intelligence; Theoretical computer science","score_opus":0.052276954179760485,"score_gpt":0.2657475527870817,"score_spread":0.2134705986073212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586623734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023151992,0.00039073703,0.9638481,0.000454002,0.00004810898,0.000089115005,0.000099164616,0.00016721945,0.011751533],"genre_scores_gemma":[0.81681156,0.0013802793,0.15091117,0.00019542257,0.00012161833,0.00044628617,0.00027633228,0.00017292475,0.02968438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907553,0.00034470545,0.000035869056,0.00019915806,0.00022038564,0.00012437002],"domain_scores_gemma":[0.9988098,0.00059711223,0.0001350584,0.000088763474,0.00025754664,0.00011179247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014080637,0.000743242,0.0007742838,0.0012680654,0.0009899244,0.001680616,0.002076303,0.0014216974,0.009075448],"category_scores_gemma":[0.0036540227,0.00041450455,0.0010549864,0.0014992686,0.00108213,0.0038117392,0.0014880352,0.0013027126,0.0009342471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100997364,0.0000772901,0.0015437669,0.00014715828,0.000042799944,0.00026374232,0.00043622815,0.6035093,0.0019865253,0.35127547,0.0032218958,0.03739479],"study_design_scores_gemma":[0.000011066388,0.000023296627,0.00013531199,0.000010825335,0.000012685632,0.000043438158,0.00003519854,0.9590411,0.00021815236,0.0388433,0.0016161514,0.0000094055],"about_ca_topic_score_codex":0.008261118,"about_ca_topic_score_gemma":0.005642147,"teacher_disagreement_score":0.009075448,"about_ca_system_score_codex":0.0020196098,"about_ca_system_score_gemma":0.0014862254,"threshold_uncertainty_score":0.030360341},"labels":[],"label_agreement":null},{"id":"W1588664200","doi":"10.1155/2015/942854","title":"Mathematical Modeling of Dual Intake Transparent Transpired Solar Collector","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Collège Shawinigan; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Mitacs","keywords":"Thermal; Nuclear engineering; Solar energy; Environmental science; Process engineering; Engineering; Thermodynamics; Electrical engineering; Physics","score_opus":0.06254882687124852,"score_gpt":0.2387692586802146,"score_spread":0.17622043180896607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588664200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03837758,0.0013073306,0.9274281,0.00045184165,0.000119478835,0.00010557494,0.0002896183,0.00028443156,0.031636003],"genre_scores_gemma":[0.8941814,0.0022149344,0.057976272,0.00017072853,0.00009472633,0.00048871763,0.00030576793,0.00014856285,0.04441892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974674,0.00004585378,0.000014323623,0.000053400778,0.00011135431,0.000028328825],"domain_scores_gemma":[0.99977607,0.00008098208,0.000041966738,0.000016982343,0.000072575946,0.000011386379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042971835,0.00071982516,0.0006555604,0.0006252031,0.0005400294,0.0012719223,0.0013412653,0.0014100758,0.0019654564],"category_scores_gemma":[0.00078503316,0.00048600102,0.0010534027,0.0005911165,0.0007487237,0.0013693724,0.00069748284,0.0008521679,0.00058156095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023513867,0.000027760696,0.00037022223,0.00014005753,0.000021401738,0.00021228903,0.00012063068,0.9407424,0.0084951455,0.04415878,0.00062925025,0.0050585913],"study_design_scores_gemma":[0.000004478775,0.000012923971,0.00010094668,0.00000674126,0.000006448697,0.000049967988,0.000012070143,0.9948,0.0007358202,0.0031315514,0.0011321077,0.0000070562824],"about_ca_topic_score_codex":0.0033001818,"about_ca_topic_score_gemma":0.0017361679,"teacher_disagreement_score":0.0033001818,"about_ca_system_score_codex":0.00088996213,"about_ca_system_score_gemma":0.00089705683,"threshold_uncertainty_score":0.0065751076},"labels":[],"label_agreement":null},{"id":"W1600825218","doi":"10.1155/2015/873794","title":"Compromise Rank Genetic Programming for Automated Nonlinear Design of Disaster Management","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Rank (graph theory); Compromise; Mathematical optimization; Computer science; Genetic algorithm; Nonlinear programming; Nonlinear system; Genetic programming; Multi-objective optimization; Process (computing); Artificial intelligence; Mathematics","score_opus":0.030851559950880823,"score_gpt":0.253591673032192,"score_spread":0.22274011308131117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600825218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008184952,0.000098013785,0.9892452,0.00008803101,0.000012451551,0.00003182048,0.000010892051,0.00010642929,0.0022222814],"genre_scores_gemma":[0.52462846,0.00024366315,0.47096777,0.00013404919,0.00002776405,0.0003391297,0.0000841704,0.00008834654,0.0034866557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995925,0.00017534509,0.000015320606,0.000061702085,0.00011576866,0.000039233248],"domain_scores_gemma":[0.99944264,0.0003533166,0.000064248234,0.00003107523,0.000085143816,0.000023559089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010714914,0.0008835172,0.00073855557,0.0007381939,0.00045733794,0.0006667109,0.0007405296,0.0010242498,0.0016947129],"category_scores_gemma":[0.00246326,0.00047009744,0.0007378331,0.00050397165,0.0006631112,0.00057459006,0.0009835196,0.0009046303,0.0002212501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014245771,0.00001535971,0.00019426321,0.000023665492,0.000014695192,0.000030221494,0.000028804076,0.9763643,0.0008265601,0.005415544,0.0001880954,0.016884193],"study_design_scores_gemma":[0.0000035232763,0.000016018743,0.000025570624,0.0000028929849,0.0000027337258,0.0000056706,0.0000041290587,0.99781835,0.00018236748,0.0016753041,0.00026119497,0.0000021656156],"about_ca_topic_score_codex":0.0024931724,"about_ca_topic_score_gemma":0.0019898687,"teacher_disagreement_score":0.0024931724,"about_ca_system_score_codex":0.0006955353,"about_ca_system_score_gemma":0.001038211,"threshold_uncertainty_score":0.0056693554},"labels":[],"label_agreement":null},{"id":"W1609990112","doi":"10.1155/2015/721842","title":"Research on the Fundamental Principles and Characteristics of Correspondence Function","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Epipolar geometry; Mathematics; Fundamental matrix (linear differential equation); Similarity (geometry); Function (biology); Parametric statistics; Point (geometry); Transformation (genetics); Space (punctuation); Homography; Image (mathematics); Margin (machine learning); Algorithm; Consistency (knowledge bases); Nonparametric statistics; Matrix similarity; Projective space; Computer science; Pure mathematics; Artificial intelligence; Discrete mathematics; Geometry; Mathematical analysis; Projective test; Statistics","score_opus":0.13261154308192077,"score_gpt":0.33532649722446006,"score_spread":0.2027149541425393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1609990112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021974634,0.004218005,0.96328074,0.00054826227,0.000120140176,0.000065356086,0.00006093055,0.00016894206,0.009562943],"genre_scores_gemma":[0.65112275,0.007436245,0.33474097,0.00038468058,0.00071306544,0.00040334638,0.0002647037,0.00029877806,0.0046353834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9930039,0.0019338117,0.00039987342,0.0019359892,0.002398316,0.00032808725],"domain_scores_gemma":[0.97896874,0.01400919,0.0015651484,0.0025622707,0.0026247986,0.0002698923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064692674,0.0010406639,0.0014776039,0.00444304,0.0016042389,0.0052838465,0.0025531286,0.0035059399,0.0028595931],"category_scores_gemma":[0.03547274,0.0010220342,0.0014200521,0.0049250666,0.0072857146,0.014488321,0.003059509,0.003845166,0.00078725175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006232877,0.000039052808,0.001574684,0.00027934348,0.000048416034,0.00015440444,0.00045491612,0.0314863,0.004279974,0.87360156,0.0006774424,0.08734151],"study_design_scores_gemma":[0.000028918626,0.00017801549,0.0026134627,0.0001306431,0.000037961014,0.0008176383,0.00030130395,0.25656167,0.007071972,0.7197611,0.012372562,0.00012474388],"about_ca_topic_score_codex":0.001410912,"about_ca_topic_score_gemma":0.00033653722,"teacher_disagreement_score":0.0064692674,"about_ca_system_score_codex":0.0024550648,"about_ca_system_score_gemma":0.001520452,"threshold_uncertainty_score":0.034213126},"labels":[],"label_agreement":null},{"id":"W1625439790","doi":"10.1155/2016/3647470","title":"Effect of Aspect Ratio and Boundary Conditions in Modeling Shape Memory Alloy Nanostructures with 3D Coupled Dynamic Phase-Field Theories","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Xunta de Galicia; FP7 Ideas: European Research Council; Compute Canada","keywords":"Shape-memory alloy; Materials science; Aspect ratio (aeronautics); Tetragonal crystal system; Martensite; Pseudoelasticity; Coupling (piping); Phase (matter); Strain rate; Phase boundary; Stress (linguistics); Mechanics; Composite material; Microstructure; Physics","score_opus":0.005461471609450299,"score_gpt":0.24159306608684786,"score_spread":0.23613159447739757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1625439790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4974654,0.0008227971,0.49063608,0.00034914876,0.000070781796,0.00010343693,0.00011643632,0.00016990384,0.010265996],"genre_scores_gemma":[0.96140903,0.00034629952,0.036399763,0.000050423463,0.000017094557,0.00013970019,0.000045528654,0.000058718426,0.0015334265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990296,0.00004039845,0.0000049381815,0.000012790579,0.000027678416,0.000011249796],"domain_scores_gemma":[0.9998247,0.00009212168,0.00003388285,0.000014298522,0.000017987171,0.000017092098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004098854,0.00055582495,0.00037805305,0.00050564954,0.00030229852,0.000681003,0.0006454364,0.0010438582,0.00048571458],"category_scores_gemma":[0.0008599668,0.00039347206,0.00056700513,0.00023061619,0.00082112406,0.0006986717,0.00061693863,0.00044670716,0.00011215846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023905086,0.000034933215,0.00059590384,0.00002437578,0.000010270924,0.000097924894,0.000036733007,0.9735179,0.010003977,0.0134119885,0.00004088494,0.0022012235],"study_design_scores_gemma":[0.0000026279602,0.0000046886853,0.00003912777,0.0000013856237,0.0000011986156,0.000004962455,0.0000028385527,0.9986265,0.0003747909,0.0008764046,0.00006368854,0.0000018401736],"about_ca_topic_score_codex":0.003697753,"about_ca_topic_score_gemma":0.0032600346,"teacher_disagreement_score":0.003697753,"about_ca_system_score_codex":0.0006426148,"about_ca_system_score_gemma":0.0004954564,"threshold_uncertainty_score":0.0073524714},"labels":[],"label_agreement":null},{"id":"W1678388453","doi":"10.1155/2015/354658","title":"ACO-Initialized Wavelet Neural Network for Vibration Fault Diagnosis of Hydroturbine Generating Unit","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Artificial neural network; Fault (geology); Wavelet; Vibration; Ant colony optimization algorithms; Convergence (economics); Artificial intelligence; Computer science; Pattern recognition (psychology); Engineering; Algorithm; Acoustics","score_opus":0.031831201354841444,"score_gpt":0.277420340822466,"score_spread":0.2455891394676246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1678388453","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0868993,0.00052616507,0.9082805,0.0001544723,0.0001073238,0.00005428961,0.000044534714,0.0004106878,0.0035226904],"genre_scores_gemma":[0.8998559,0.00031701394,0.09729014,0.000047257716,0.000027012487,0.00006600742,0.00008607653,0.000027347016,0.0022831752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999843,0.00003309244,0.000011479264,0.00003277819,0.000062051935,0.0000175491],"domain_scores_gemma":[0.99968255,0.000121738565,0.00003816515,0.000022949775,0.00012260448,0.000011972946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042089765,0.00042369528,0.0003891265,0.00041086267,0.00025488634,0.0004453861,0.00059031084,0.0005517385,0.00069452456],"category_scores_gemma":[0.0016761475,0.00021920743,0.00032466144,0.00044501666,0.00026277392,0.0005532467,0.00025341767,0.00056035095,0.00013478337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017420502,0.00006645392,0.0016864181,0.00009305317,0.000044253415,0.00014960447,0.00004963669,0.8117296,0.011805696,0.0030525064,0.0008344777,0.17031409],"study_design_scores_gemma":[0.0000034000893,0.000009459458,0.00018685224,0.000001970262,0.0000031871114,0.000009039595,0.0000023534624,0.99859565,0.00088504795,0.00022499856,0.00007610329,0.0000019055426],"about_ca_topic_score_codex":0.005155471,"about_ca_topic_score_gemma":0.0033569182,"teacher_disagreement_score":0.005155471,"about_ca_system_score_codex":0.00043873594,"about_ca_system_score_gemma":0.0005559869,"threshold_uncertainty_score":0.010250926},"labels":[],"label_agreement":null},{"id":"W1680052179","doi":"10.1155/2015/382954","title":"One-Step-Ahead Predictive Control for Hydroturbine Governor","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China; Strong","keywords":"Control theory (sociology); Governor; Model predictive control; PID controller; Controller (irrigation); Nonlinear system; Artificial neural network; Generator (circuit theory); Step response; Computer science; Control engineering; SIGNAL (programming language); Line (geometry); Engineering; Control (management); Temperature control; Artificial intelligence; Mathematics; Power (physics)","score_opus":0.01454269095974436,"score_gpt":0.21093524609790895,"score_spread":0.1963925551381646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1680052179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13296628,0.001305038,0.850722,0.0003455117,0.0002096712,0.00012761036,0.00007547472,0.0012342185,0.0130141955],"genre_scores_gemma":[0.9869257,0.00020262471,0.010922302,0.000032201882,0.000016600898,0.000055511755,0.000025851825,0.000011274993,0.0018079268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998307,0.000029444313,0.000008217689,0.000038973092,0.00007119578,0.000021468213],"domain_scores_gemma":[0.9997352,0.00012309106,0.00004432897,0.00001586497,0.000071706956,0.000009765384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003925504,0.00041004425,0.00045875413,0.00022817685,0.00040731655,0.0005930744,0.0007146084,0.00044543474,0.0009552849],"category_scores_gemma":[0.00078910275,0.00022803983,0.00020125328,0.00025220716,0.00039700375,0.0002538658,0.00033136993,0.0006027435,0.00011805274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011430436,0.00006364119,0.00047761158,0.000140136,0.000026134316,0.000135364,0.00007774649,0.9219429,0.006355732,0.0021136056,0.0008448301,0.06770801],"study_design_scores_gemma":[0.0000071486884,0.000037767546,0.00014909431,0.0000037419516,0.000004973238,0.00000912635,0.00000345129,0.99844176,0.0008755517,0.00020619624,0.00025817877,0.0000030683236],"about_ca_topic_score_codex":0.010826694,"about_ca_topic_score_gemma":0.011006852,"teacher_disagreement_score":0.010826694,"about_ca_system_score_codex":0.00049305125,"about_ca_system_score_gemma":0.000651892,"threshold_uncertainty_score":0.02152735},"labels":[],"label_agreement":null},{"id":"W1749238948","doi":"10.1155/2015/767456","title":"New Delay-Dependent Exponential Stability Criteria for Neural Networks with Mixed Time-Varying Delays","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Program for New Century Excellent Talents in University; National Key Research and Development Program of China; National Defense Pre-Research Foundation of China; National Natural Science Foundation of China","keywords":"Mathematics; Exponential stability; Stability (learning theory); Artificial neural network; Convex optimization; Convex combination; Regular polygon; Linear matrix inequality; Exponential function; Applied mathematics; Mathematical optimization; Control theory (sociology); Computer science; Nonlinear system; Mathematical analysis; Artificial intelligence; Machine learning","score_opus":0.030603977490964954,"score_gpt":0.23499869845456892,"score_spread":0.20439472096360395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1749238948","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006946651,0.0005392039,0.99049133,0.00006499394,0.00004382608,0.000026225836,0.00002742571,0.00004242931,0.001817998],"genre_scores_gemma":[0.8191221,0.0019550992,0.17233765,0.000107362284,0.00015962188,0.0003727639,0.0001828769,0.00009142324,0.0056711165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999244,0.00018395265,0.0000762844,0.00014772611,0.0003000624,0.000048079957],"domain_scores_gemma":[0.9987225,0.00058429077,0.00017190556,0.000032670094,0.00045044307,0.000038150425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016711768,0.0013474649,0.0006326115,0.00066888623,0.0003008506,0.00136579,0.0010650855,0.00090286805,0.0013950206],"category_scores_gemma":[0.0029114557,0.0002998721,0.00052776485,0.00043797668,0.00064674456,0.0014093966,0.0011636496,0.0012582061,0.00023542701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014493121,0.000045885492,0.0005014197,0.0006034926,0.00007796881,0.00019293824,0.00026043569,0.8219606,0.02637736,0.089201376,0.0011033138,0.059530172],"study_design_scores_gemma":[0.0000063489383,0.00004149922,0.000073472795,0.000018996705,0.000010083003,0.00002253345,0.000014830783,0.9905798,0.001988788,0.006248216,0.0009845182,0.000010911844],"about_ca_topic_score_codex":0.00093345967,"about_ca_topic_score_gemma":0.0011774629,"teacher_disagreement_score":0.0016711768,"about_ca_system_score_codex":0.0009998755,"about_ca_system_score_gemma":0.00064515445,"threshold_uncertainty_score":0.008838177},"labels":[],"label_agreement":null},{"id":"W1769081502","doi":"10.1155/2015/764643","title":"Inverse Problems via the “Generalized Collage Theorem” for Vector-Valued Lax-Milgram-Based Variational Problems","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Inverse; Mathematics; Milgram experiment; Inverse problem; Applied mathematics; Calculus (dental); Mathematical analysis; Pure mathematics; Algebra over a field; Geometry; Political science; Law","score_opus":0.09478737871887571,"score_gpt":0.30026705104290763,"score_spread":0.20547967232403191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1769081502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012700952,0.00037165525,0.9738038,0.0004631897,0.00014254116,0.000035921254,0.000034658322,0.00006400511,0.012383211],"genre_scores_gemma":[0.6304676,0.0011614504,0.3450082,0.0006638624,0.00050011254,0.0003385033,0.000164976,0.00029883496,0.021396564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913824,0.0003674181,0.000037507787,0.000103967956,0.0002870902,0.00006573324],"domain_scores_gemma":[0.99901354,0.00047347014,0.00012424069,0.0001240994,0.00018601709,0.00007857649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020587523,0.0010868618,0.0011245512,0.0011109314,0.0008947465,0.0023087051,0.0010755203,0.001623882,0.0040154196],"category_scores_gemma":[0.004095681,0.00038502493,0.001243516,0.00056811655,0.0033339509,0.00281199,0.0038194472,0.0021125164,0.0006544911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013955779,0.000011068699,0.00012949045,0.000057104426,0.000018154284,0.00012391667,0.00011264078,0.047988784,0.0014105628,0.9429316,0.00089872023,0.006304043],"study_design_scores_gemma":[0.000014134695,0.000035526184,0.00008021081,0.000027174887,0.000010059496,0.00012461442,0.000048175185,0.4012251,0.000978735,0.5937705,0.003662688,0.00002299637],"about_ca_topic_score_codex":0.0010715475,"about_ca_topic_score_gemma":0.0007404968,"teacher_disagreement_score":0.0040154196,"about_ca_system_score_codex":0.0008382282,"about_ca_system_score_gemma":0.00097058475,"threshold_uncertainty_score":0.01343292},"labels":[],"label_agreement":null},{"id":"W1898764733","doi":"10.1155/2015/613940","title":"Information Management and Applications of Intelligent Transportation System","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Intelligent transportation system; Transport engineering; Engineering; Telecommunications; China; Information system; Engineering management; Business; Library science; Geography; Computer science","score_opus":0.008349914323366866,"score_gpt":0.19004810938465788,"score_spread":0.181698195061291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1898764733","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049310226,0.07530589,0.5697599,0.019211689,0.002927345,0.0003968738,0.0010553125,0.002087518,0.27994534],"genre_scores_gemma":[0.8314037,0.038501333,0.09542833,0.0007937852,0.0020577072,0.00021266904,0.0012151076,0.00011481368,0.030272476],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992379,0.00024430305,0.00007298889,0.000113196824,0.00027130538,0.000060192044],"domain_scores_gemma":[0.9988403,0.0004812933,0.000114445735,0.00013843486,0.00036765166,0.000057863475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096844364,0.00047602307,0.00037517343,0.0019588908,0.0005007772,0.0025829144,0.0006712468,0.00086649734,0.006474805],"category_scores_gemma":[0.0035135264,0.00013456095,0.00041220256,0.0037239795,0.0005509862,0.0024431325,0.0008316649,0.0005611591,0.0013762605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010309477,0.000094926814,0.006604622,0.0006597646,0.000106534855,0.00045500562,0.00040433777,0.052953634,0.002546985,0.2775129,0.051291756,0.6072664],"study_design_scores_gemma":[0.000023412253,0.0001244759,0.005304796,0.000352078,0.00011251049,0.00048121106,0.0005474261,0.34966114,0.0033268211,0.2593199,0.38069314,0.000053132713],"about_ca_topic_score_codex":0.003034302,"about_ca_topic_score_gemma":0.0017054927,"teacher_disagreement_score":0.006474805,"about_ca_system_score_codex":0.0012783319,"about_ca_system_score_gemma":0.0010708903,"threshold_uncertainty_score":0.021660328},"labels":[],"label_agreement":null},{"id":"W1942068614","doi":"10.1155/2015/240354","title":"A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Southwest Forestry University; China Scholarship Council; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Artificial intelligence; Markov random field; Pattern recognition (psychology); Cluster analysis; Fuzzy clustering; Image segmentation; Fuzzy logic; Image texture; Computer vision; Computer science; Pixel; Mathematics; Segmentation","score_opus":0.03767410724835893,"score_gpt":0.263141590138535,"score_spread":0.22546748289017607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942068614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029907234,0.0001357679,0.9957131,0.000041908825,0.000034902445,0.000036869922,0.00002634384,0.00042486808,0.0005955508],"genre_scores_gemma":[0.07690175,0.00022622469,0.9205355,0.00008615361,0.000057725898,0.00008700057,0.00015728398,0.00016893253,0.0017794544],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945277,0.00006429779,0.000022179609,0.00016214488,0.00025375496,0.000044885768],"domain_scores_gemma":[0.9995467,0.00010872472,0.00005187236,0.0000582183,0.0002034023,0.000031041523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065096596,0.0006767291,0.001055471,0.0024186117,0.0006759965,0.00084729004,0.0014018895,0.0010453869,0.0014706986],"category_scores_gemma":[0.0013386351,0.00049973174,0.0011792576,0.0016724197,0.00064635085,0.001065833,0.000534434,0.00087684643,0.0006483266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016982773,0.00011424193,0.0015287192,0.00030782138,0.00016096549,0.00012706852,0.00018092971,0.18354687,0.06288734,0.01734507,0.004985171,0.728646],"study_design_scores_gemma":[0.00001260064,0.000038957365,0.0007565725,0.000012039829,0.000027161066,0.00016794815,0.00002239691,0.98286533,0.009604873,0.003341198,0.003103335,0.000047544934],"about_ca_topic_score_codex":0.010129303,"about_ca_topic_score_gemma":0.008954811,"teacher_disagreement_score":0.010129303,"about_ca_system_score_codex":0.0012289099,"about_ca_system_score_gemma":0.0012459649,"threshold_uncertainty_score":0.020140707},"labels":[],"label_agreement":null},{"id":"W1965412610","doi":"10.1155/2014/801791","title":"The High Contact Principle with Reward Functions Involving Initial Points","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"China Postdoctoral Science Foundation; Social Sciences and Humanities Research Council of Canada; Central University of Finance and Economics; National Natural Science Foundation of China; Beijing Municipal Office of Philosophy and Social Science Planning","keywords":"Constant (computer programming); Point (geometry); Class (philosophy); Mathematics; Process (computing); Applied mathematics; Calculus (dental); Mathematical analysis; Computer science; Geometry; Artificial intelligence","score_opus":0.012976978155335052,"score_gpt":0.23150550161488448,"score_spread":0.21852852345954943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965412610","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032755185,0.00046559056,0.94408524,0.00065035844,0.000051463805,0.000045042634,0.000028607232,0.000110542846,0.021807998],"genre_scores_gemma":[0.88115335,0.000687141,0.096717186,0.000309841,0.00020721888,0.00016445004,0.00006565507,0.0001592121,0.020535896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980761,0.0006131643,0.00007946207,0.00032108196,0.0006813771,0.00022880221],"domain_scores_gemma":[0.99593854,0.002620902,0.00040702525,0.00041496442,0.00035450488,0.00026412564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027463564,0.0006712906,0.00086044474,0.0006684341,0.0008913704,0.0021485821,0.0016080353,0.00224464,0.0055060796],"category_scores_gemma":[0.007499702,0.00039063251,0.0009580818,0.0006643865,0.0039344,0.0035912793,0.0022378636,0.002396536,0.00073385745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028702683,0.000021713457,0.0002445281,0.00005695513,0.000014111575,0.00013117188,0.00010616384,0.043947265,0.0014356963,0.9422673,0.000722206,0.011024238],"study_design_scores_gemma":[0.000028705297,0.00008899227,0.00031998818,0.000020875284,0.000010871657,0.00014724363,0.000039191058,0.22637133,0.00113849,0.7676679,0.0041461615,0.000020242302],"about_ca_topic_score_codex":0.00093506643,"about_ca_topic_score_gemma":0.0005585129,"teacher_disagreement_score":0.0055060796,"about_ca_system_score_codex":0.0013817272,"about_ca_system_score_gemma":0.0014220116,"threshold_uncertainty_score":0.018419623},"labels":[],"label_agreement":null},{"id":"W1965985170","doi":"10.1155/2015/236958","title":"Environmental and Economic Optimization Model for Electric System Planning in Ningxia, China: Inexact Stochastic Risk-Aversion Programming Approach","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Stochastic programming; Risk aversion (psychology); Profit (economics); Downside risk; Investment (military); Computer science; Operations research; Environmental economics; Economics; Risk analysis (engineering); Mathematical optimization; Business; Engineering; Microeconomics; Expected utility hypothesis; Finance; Mathematics","score_opus":0.010782719136076773,"score_gpt":0.17679441961107548,"score_spread":0.1660117004749987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965985170","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09717754,0.0008702721,0.8832023,0.0010270663,0.00007868723,0.00011705237,0.0004103462,0.00014569222,0.016971128],"genre_scores_gemma":[0.9574514,0.0008265652,0.029964602,0.000100577236,0.000038324884,0.00031703088,0.00023355064,0.000032271586,0.011035652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956983,0.00017060574,0.000017382741,0.0000912371,0.00008600409,0.00006484628],"domain_scores_gemma":[0.99972814,0.00013378833,0.00005157213,0.000010415526,0.000052624113,0.000023401859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009544157,0.0010920443,0.0009151751,0.0006155135,0.0004696874,0.001566108,0.0011165023,0.0011637355,0.0020738088],"category_scores_gemma":[0.0010655462,0.00060276414,0.00093749457,0.0006658717,0.00074138225,0.0009488423,0.0010339165,0.0011368608,0.00014847984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066004527,0.0000058190994,0.00017170823,0.000013826431,0.000007757382,0.00004921616,0.00001165262,0.9947232,0.000100464276,0.0039116377,0.0001121395,0.0008860988],"study_design_scores_gemma":[0.0000030793258,0.0000058981495,0.00008271777,0.000002231868,0.0000039215765,0.000005557278,0.000007959888,0.99831045,0.00003214321,0.0014023157,0.0001408219,0.0000028826987],"about_ca_topic_score_codex":0.023560455,"about_ca_topic_score_gemma":0.014095988,"teacher_disagreement_score":0.023560455,"about_ca_system_score_codex":0.0016005359,"about_ca_system_score_gemma":0.0024167935,"threshold_uncertainty_score":0.04684663},"labels":[],"label_agreement":null},{"id":"W1972500063","doi":"10.1155/2013/218981","title":"Minimizing the Makespan for Scheduling Problems with General Deterioration Effects","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Directorate for Computer and Information Science and Engineering; Research and Innovation Foundation; Government of Jiangsu Province; Southeast University; National Natural Science Foundation of China","keywords":"Job shop scheduling; Flow shop scheduling; Mathematical optimization; Scheduling (production processes); Computer science; Time complexity; Mathematics; Algorithm; Computer network","score_opus":0.009020743116191754,"score_gpt":0.19673195719285572,"score_spread":0.18771121407666397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972500063","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13759579,0.0029928822,0.854197,0.0003453727,0.00008848676,0.00011209599,0.00012969194,0.00018136887,0.0043572574],"genre_scores_gemma":[0.85711664,0.00298466,0.13690904,0.000075566284,0.00012077785,0.00013544911,0.00029158877,0.00011139052,0.0022549203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927765,0.00027149866,0.00002975703,0.0001294853,0.00018007935,0.000111459056],"domain_scores_gemma":[0.9993068,0.0004576429,0.000100008074,0.00004476282,0.00004702947,0.000043636246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012337315,0.00129169,0.0010575615,0.00054359116,0.00038683577,0.0007063403,0.0006591889,0.0006675451,0.00064422074],"category_scores_gemma":[0.0027255996,0.00045469587,0.0008129579,0.00083067175,0.00050133886,0.001130542,0.00063863886,0.0007337955,0.00009595498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008187429,0.000040448467,0.00035980224,0.00024887786,0.00007730175,0.000098347016,0.000041747877,0.9636705,0.004971696,0.009823028,0.00051806826,0.020068297],"study_design_scores_gemma":[0.000013074974,0.00010588532,0.00059772405,0.000015595433,0.000028273096,0.00006011919,0.000019704663,0.979924,0.0012899701,0.017199708,0.00073746976,0.000008479956],"about_ca_topic_score_codex":0.0016042771,"about_ca_topic_score_gemma":0.0015867323,"teacher_disagreement_score":0.0016042771,"about_ca_system_score_codex":0.00080954446,"about_ca_system_score_gemma":0.0010516223,"threshold_uncertainty_score":0.0065246224},"labels":[],"label_agreement":null},{"id":"W1973050294","doi":"10.1155/2012/694194","title":"Finite Element Analysis of Schwarz P Surface Pore Geometries for Tissue‐Engineered Scaffolds","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Finite element method; Materials science; Surface (topology); Tissue engineering; Structural engineering; Composite material; Biomedical engineering; Engineering; Geometry; Mathematics","score_opus":0.017234472501671566,"score_gpt":0.23757699970868223,"score_spread":0.22034252720701067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973050294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3481801,0.00017651121,0.64194745,0.00024545097,0.000033763852,0.00006579652,0.00008621284,0.00017994193,0.009084792],"genre_scores_gemma":[0.94883835,0.000096168136,0.04890156,0.000021072738,0.000009576858,0.00006769494,0.000067908906,0.000037176567,0.001960388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999032,0.000031868945,0.0000036370993,0.000007881583,0.000043152493,0.000010178498],"domain_scores_gemma":[0.9997665,0.00015602456,0.000022302143,0.000014154625,0.000030063322,0.000010959085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026486794,0.0002888404,0.00021728904,0.0003554364,0.00016962572,0.00039363618,0.0002822724,0.00065518566,0.0011141633],"category_scores_gemma":[0.00092260377,0.0002412275,0.00033037597,0.00018742714,0.00054304325,0.00032501787,0.00028544772,0.0002609516,0.00015912509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037539827,0.000024702804,0.0005651366,0.000027412807,0.0000061847895,0.0000796682,0.000047536996,0.9648574,0.013797001,0.014771892,0.00025640512,0.00552917],"study_design_scores_gemma":[0.0000033626764,0.000009872254,0.00008667256,0.0000015979133,7.881502e-7,0.000011609916,0.0000070098563,0.99769324,0.00077574915,0.001226799,0.00018124889,0.0000019758957],"about_ca_topic_score_codex":0.0009502849,"about_ca_topic_score_gemma":0.00095015316,"teacher_disagreement_score":0.0011141633,"about_ca_system_score_codex":0.00027546525,"about_ca_system_score_gemma":0.0003979089,"threshold_uncertainty_score":0.0037272573},"labels":[],"label_agreement":null},{"id":"W1974896458","doi":"10.1155/mpe/2006/54295","title":"On semi‐inverse solutions for the time‐dependent flows of a second‐grade fluid","year":2006,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Quaid-i-Azam University","keywords":"Rotational symmetry; Stream function; Inverse; Polar coordinate system; Polar; Plane (geometry); Function (biology); Mathematics; Mechanics; Mathematical analysis; Physics; Geometry; Vortex","score_opus":0.010700401211416537,"score_gpt":0.20523396303522548,"score_spread":0.19453356182380893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974896458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039177608,0.0016076149,0.9342062,0.0005856572,0.00028165203,0.00007196095,0.000040342038,0.00009251714,0.023936573],"genre_scores_gemma":[0.4928616,0.008694401,0.44661114,0.00051807996,0.0006421879,0.00031500732,0.000296323,0.00032324082,0.049737938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996307,0.000112331465,0.000018916495,0.000029313083,0.00018066166,0.000028033444],"domain_scores_gemma":[0.99908686,0.00044589696,0.00013664975,0.000053966323,0.00023840096,0.000038249535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010000094,0.00096912624,0.00044502705,0.0008950701,0.00052619714,0.001454423,0.00065281277,0.0011645544,0.0020476074],"category_scores_gemma":[0.004208876,0.0003453615,0.0009488635,0.00043727085,0.0019841348,0.0020140316,0.001201045,0.0016595349,0.0007423925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061841,0.00008536744,0.00023541815,0.00041741857,0.00002345689,0.00030126626,0.0006344424,0.1032121,0.024856148,0.82983345,0.0025732436,0.037765905],"study_design_scores_gemma":[0.000037581787,0.00009888026,0.00025313898,0.00012433082,0.000018249018,0.00051182514,0.00018331897,0.7410128,0.009632675,0.23410176,0.013963584,0.00006199605],"about_ca_topic_score_codex":0.0009997163,"about_ca_topic_score_gemma":0.0007295962,"teacher_disagreement_score":0.0020476074,"about_ca_system_score_codex":0.00046854664,"about_ca_system_score_gemma":0.0009200659,"threshold_uncertainty_score":0.006849885},"labels":[],"label_agreement":null},{"id":"W1977671120","doi":"10.1080/1024123021000061935","title":"Modeling and forecasting the peak flows of a river","year":2002,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flow (mathematics); Value (mathematics); Econometrics; Stochastic modelling; Environmental science; Mathematics; Meteorology; Linear regression; Statistics; Geography","score_opus":0.02322917601180236,"score_gpt":0.18404123043359832,"score_spread":0.16081205442179597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977671120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53478044,0.00045062727,0.4578681,0.000566326,0.000039622028,0.00007654708,0.0011498323,0.0007078742,0.0043605873],"genre_scores_gemma":[0.9833334,0.00024173081,0.014783841,0.000013405784,0.0000190155,0.000046849855,0.00037698625,0.00001976057,0.001164988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978274,0.000053127224,0.000011412045,0.00005251358,0.00005002525,0.000050153798],"domain_scores_gemma":[0.9996289,0.00015700233,0.00008016279,0.00001653792,0.000089764544,0.00002757089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005965258,0.00044462277,0.00046554755,0.0005197753,0.0004358422,0.0008740083,0.0009576616,0.00068975455,0.0005381369],"category_scores_gemma":[0.0017926643,0.00032761085,0.00035422592,0.00071708986,0.00041470333,0.00054629,0.00029567818,0.00050827616,0.000096252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007253588,0.000006436456,0.001302217,0.000006584657,0.0000069517337,0.000013754368,0.000012397675,0.99522096,0.00023391582,0.0008859286,0.00011628631,0.0021873205],"study_design_scores_gemma":[0.0000016972223,0.0000035705366,0.00047041592,0.0000011288937,0.0000026704595,0.0000024833446,0.0000052132154,0.99877685,0.00007424529,0.00054824277,0.000111093825,0.0000024248745],"about_ca_topic_score_codex":0.22622147,"about_ca_topic_score_gemma":0.16428354,"teacher_disagreement_score":0.22622147,"about_ca_system_score_codex":0.0018999495,"about_ca_system_score_gemma":0.0024121718,"threshold_uncertainty_score":0.44980943},"labels":[],"label_agreement":null},{"id":"W1977820268","doi":"10.1155/2012/467175","title":"Pattern Classification of Signals Using Fisher Kernels","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fisher kernel; Recurrence plot; Outlier; Pattern recognition (psychology); Visualization; Computer science; Fisher information; Feature vector; Artificial intelligence; Support vector machine; Dimension (graph theory); Data mining; Kernel method; Mathematics; Machine learning; Nonlinear system; Kernel Fisher discriminant analysis","score_opus":0.044472818498046775,"score_gpt":0.24354094821532743,"score_spread":0.19906812971728066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977820268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19362864,0.0002923737,0.80305773,0.00018815901,0.00005334905,0.00005755225,0.00019530077,0.0013009298,0.0012259731],"genre_scores_gemma":[0.8070513,0.0003173991,0.19065063,0.00003916148,0.000022745737,0.000047739923,0.0004182303,0.00007684252,0.0013761028],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993098,0.00017699094,0.00006907968,0.00012993888,0.00022408644,0.00009007507],"domain_scores_gemma":[0.9969938,0.0017517601,0.00027701556,0.00032997777,0.00058357156,0.000063856525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018432102,0.0007354263,0.00060224073,0.0020603784,0.00027371958,0.0011981707,0.0004534757,0.000769646,0.0014348917],"category_scores_gemma":[0.010232363,0.0001854226,0.0007881171,0.001371539,0.0004095411,0.0017805549,0.0005174867,0.0006026418,0.00068672886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008501662,0.00021497827,0.013480956,0.00021177273,0.00011365501,0.00026665462,0.0003698692,0.15189804,0.07145889,0.010115361,0.0019317981,0.7490878],"study_design_scores_gemma":[0.000008295895,0.000080575264,0.008951613,0.000017562945,0.000019817164,0.00014015583,0.00006923463,0.96997607,0.015754996,0.004212481,0.0007366057,0.000032622414],"about_ca_topic_score_codex":0.0030153864,"about_ca_topic_score_gemma":0.0014630355,"teacher_disagreement_score":0.0030153864,"about_ca_system_score_codex":0.00050446525,"about_ca_system_score_gemma":0.00043928038,"threshold_uncertainty_score":0.009747982},"labels":[],"label_agreement":null},{"id":"W1979166501","doi":"10.1155/s1024123x04402038","title":"<i>ℋ</i><sub><i>∞</i></sub> constant gain state feedback stabilization of stochastic hybrid systems with Wiener process","year":2004,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Algorithm; State (computer science); Class (philosophy); Computer science; Artificial intelligence","score_opus":0.006466121039558214,"score_gpt":0.18058785311703535,"score_spread":0.17412173207747714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979166501","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12996498,0.0006408822,0.86331517,0.00018922538,0.00004478708,0.000020044507,0.000022514389,0.00019300885,0.0056094327],"genre_scores_gemma":[0.985832,0.00035959264,0.011629338,0.00003507677,0.000036224796,0.000031633543,0.000028133793,0.000018666391,0.0020294164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998834,0.000022527935,0.000006874577,0.000030951076,0.00004427377,0.000011946047],"domain_scores_gemma":[0.9998198,0.00007612874,0.000056855868,0.000010341907,0.000030828687,0.000006076071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002251118,0.00035345613,0.00029585187,0.00014054711,0.00020651934,0.0005562988,0.00032146933,0.0002634711,0.00065363676],"category_scores_gemma":[0.00046686034,0.00010008843,0.00021881964,0.0001746692,0.000613676,0.0004078693,0.00033391453,0.00035608961,0.00010637134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028416768,0.000061569255,0.0015320203,0.00039562603,0.00007934562,0.0004486974,0.0002526943,0.63413405,0.12121635,0.12967373,0.0013161213,0.110605605],"study_design_scores_gemma":[0.000012122233,0.00010715554,0.00063266256,0.0000099278295,0.000019640667,0.00011273294,0.000030725943,0.96804863,0.015866542,0.013903892,0.0012426355,0.000013358896],"about_ca_topic_score_codex":0.0009362547,"about_ca_topic_score_gemma":0.000421752,"teacher_disagreement_score":0.0009362547,"about_ca_system_score_codex":0.00028832204,"about_ca_system_score_gemma":0.00027678738,"threshold_uncertainty_score":0.0021865964},"labels":[],"label_agreement":null},{"id":"W1983492818","doi":"10.1155/2010/209780","title":"Shape Sensitivity Analysis in Flow Models Using a Finite‐Difference Approach","year":2010,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Air Force Office of Scientific Research","keywords":"Sensitivity (control systems); Mathematics; Flow (mathematics); Projection (relational algebra); Range (aeronautics); Galerkin method; Point of delivery; Finite difference; Applied mathematics; Mathematical analysis; Mathematical optimization; Algorithm; Finite element method; Geometry; Engineering; Structural engineering","score_opus":0.027252216589081286,"score_gpt":0.23223443235469068,"score_spread":0.2049822157656094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983492818","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07262569,0.00018862903,0.9231104,0.00020149279,0.000032720527,0.00005824405,0.00006412163,0.00029952388,0.0034192041],"genre_scores_gemma":[0.9188836,0.00037992085,0.0760163,0.000089630754,0.000030162017,0.00017550291,0.00013389121,0.00009761363,0.0041934443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972993,0.00009643104,0.000011414935,0.000027475087,0.00011123622,0.000023508286],"domain_scores_gemma":[0.99926907,0.00046981924,0.00006956999,0.000063360334,0.00010026691,0.000027833185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073109916,0.0005385795,0.00069850957,0.00076560373,0.0003396343,0.000849463,0.0007092046,0.001004247,0.0009512804],"category_scores_gemma":[0.002186404,0.0005804637,0.0010435097,0.00039633823,0.0009838257,0.00076724193,0.0007673275,0.00092973607,0.00014978612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055249293,0.0000087674025,0.00012773581,0.000008442117,0.000006174394,0.000012047282,0.000013831048,0.9939002,0.0010972436,0.0030563006,0.000030815085,0.0017330304],"study_design_scores_gemma":[5.5013294e-7,0.0000016190941,0.000022453005,6.655251e-7,6.027692e-7,0.0000014586452,7.8416895e-7,0.9991928,0.0001788063,0.00055362534,0.000045334516,0.0000011877264],"about_ca_topic_score_codex":0.0071791383,"about_ca_topic_score_gemma":0.0031540573,"teacher_disagreement_score":0.0071791383,"about_ca_system_score_codex":0.0009054582,"about_ca_system_score_gemma":0.00090724364,"threshold_uncertainty_score":0.014274716},"labels":[],"label_agreement":null},{"id":"W1986244770","doi":"10.1155/2013/790160","title":"Data Mining and Knowledge Discovery in Industrial Engineering","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Knowledge extraction; Data science; Computer science; Engineering; Data mining","score_opus":0.04987662620668604,"score_gpt":0.2508070764253217,"score_spread":0.20093045021863565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986244770","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03322652,0.10928802,0.81079495,0.023397708,0.001173365,0.0001864123,0.0007611226,0.00038239214,0.020789461],"genre_scores_gemma":[0.4685547,0.072845995,0.43947834,0.0021167905,0.002060906,0.00038796285,0.0011989233,0.000086471075,0.013269917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782336,0.00076443213,0.00025341133,0.00034503255,0.0007329407,0.000080846345],"domain_scores_gemma":[0.9928173,0.005714396,0.00046042178,0.00042316402,0.00047312598,0.00011162564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031157874,0.0005855229,0.0012605673,0.0030257297,0.0008862034,0.0038397212,0.0016903807,0.0016001337,0.003330008],"category_scores_gemma":[0.013030445,0.00046712207,0.00089837326,0.004705531,0.0029804178,0.005776918,0.0016859712,0.0020031522,0.0010496781],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013420118,0.00025382388,0.005207758,0.0023546943,0.00014512007,0.00031261554,0.00042450317,0.038876407,0.0011565739,0.5206621,0.015355116,0.41511706],"study_design_scores_gemma":[0.000023021157,0.00003541782,0.0011750687,0.0002863834,0.000044421522,0.00016638916,0.00022349213,0.09584375,0.0013408652,0.8668266,0.034007195,0.000027322609],"about_ca_topic_score_codex":0.0022262756,"about_ca_topic_score_gemma":0.0016357898,"teacher_disagreement_score":0.0038397212,"about_ca_system_score_codex":0.0017971419,"about_ca_system_score_gemma":0.0022881266,"threshold_uncertainty_score":0.016478062},"labels":[],"label_agreement":null},{"id":"W1990875258","doi":"10.1155/2012/986867","title":"A Fuzzy Simulation‐Based Optimization Approach for Groundwater Remediation Design at Contaminated Aquifers","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Environmental remediation; Groundwater remediation; Fuzzy logic; Hazardous waste; Groundwater; Aquifer; Environmental science; Computer science; Environmental engineering; Waste management; Engineering; Contamination; Artificial intelligence; Geotechnical engineering","score_opus":0.026446429020096335,"score_gpt":0.21035778706070193,"score_spread":0.1839113580406056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990875258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012808268,0.00012488908,0.98376185,0.000119212156,0.000019230492,0.000054746644,0.00004112098,0.00010296479,0.0029676703],"genre_scores_gemma":[0.78451115,0.00036003283,0.21104918,0.000091201044,0.00003792421,0.000539066,0.00012536712,0.00006416147,0.0032218506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996594,0.00014540656,0.0000141308565,0.000040604846,0.00009584015,0.00004453467],"domain_scores_gemma":[0.9994568,0.00034644266,0.00004937723,0.000017922552,0.0001015865,0.000027801934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008101584,0.0009976997,0.0011640121,0.0008287087,0.00059016765,0.0008398356,0.0010626985,0.0011728811,0.0016435119],"category_scores_gemma":[0.0013743372,0.0006883378,0.0011850602,0.00059645355,0.0007517998,0.0005178119,0.00079360127,0.00089793594,0.00013785297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062039917,0.0000053870685,0.000044232453,0.000006513991,0.000007854488,0.00000592116,0.0000044930357,0.9969308,0.00019937156,0.0011139748,0.00002752074,0.0016477358],"study_design_scores_gemma":[0.000002626079,0.000006276303,0.000014933746,0.0000014811815,0.0000022617457,0.0000014078081,0.0000015038311,0.99922585,0.00009412063,0.0005559723,0.000091830356,0.000001723651],"about_ca_topic_score_codex":0.017802898,"about_ca_topic_score_gemma":0.010503102,"teacher_disagreement_score":0.017802898,"about_ca_system_score_codex":0.0015333244,"about_ca_system_score_gemma":0.0020352693,"threshold_uncertainty_score":0.035398543},"labels":[],"label_agreement":null},{"id":"W1998811959","doi":"10.1155/2011/572424","title":"Controller Design for Rotary Inverted Pendulum System Using Evolutionary Algorithms","year":2011,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Tabriz","keywords":"Inverted pendulum; Control theory (sociology); Particle swarm optimization; Robustness (evolution); Nonlinear system; Ant colony optimization algorithms; Genetic algorithm; Engineering; Position (finance); Computer science; Control engineering; Algorithm; Mathematical optimization; Mathematics; Control (management); Artificial intelligence; Physics","score_opus":0.051690455338644914,"score_gpt":0.2151247349704864,"score_spread":0.16343427963184148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998811959","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010249506,0.00045354347,0.985,0.00007832057,0.00006730119,0.000058071833,0.0000129179225,0.00024529448,0.0038349882],"genre_scores_gemma":[0.74008435,0.0009249567,0.25305805,0.00014979784,0.00007679932,0.00040741623,0.00009436087,0.00005042663,0.0051540076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998343,0.000028878438,0.000012246339,0.00003427703,0.0000697817,0.000020489073],"domain_scores_gemma":[0.99986434,0.000035865887,0.000025133093,0.000007780814,0.000059761012,0.0000070774345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003721141,0.00055602076,0.0005578272,0.00037627993,0.00035767135,0.0006509961,0.00068652234,0.00066510553,0.00133629],"category_scores_gemma":[0.0006402993,0.00021643011,0.00033138064,0.00027712694,0.00025997046,0.00029409144,0.00033442362,0.00043298546,0.00031503537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009749524,0.00007350174,0.000601576,0.0003471789,0.00009872749,0.00035202876,0.00015968912,0.7350154,0.038773175,0.014658041,0.0016908672,0.20813237],"study_design_scores_gemma":[0.000028130198,0.00008637476,0.00015144375,0.000014191259,0.00001571628,0.000054177355,0.000010373996,0.9944607,0.0023390495,0.0009329899,0.0018992666,0.000007636854],"about_ca_topic_score_codex":0.0016927159,"about_ca_topic_score_gemma":0.0014493245,"teacher_disagreement_score":0.0016927159,"about_ca_system_score_codex":0.00018398988,"about_ca_system_score_gemma":0.00042416467,"threshold_uncertainty_score":0.0044702888},"labels":[],"label_agreement":null},{"id":"W1999581873","doi":"10.1155/2014/745963","title":"Output‐Feedback Control of a Chaotic MEMS Resonator for Oscillation Amplitude Enhancement","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Attractor; Backstepping; Control theory (sociology); Oscillation (cell signaling); Chaotic; Amplitude; Parametric statistics; Resonator; Microelectromechanical systems; Physics; Computer science; Control (management); Nonlinear system; Mathematics; Mathematical analysis; Optics; Adaptive control","score_opus":0.01268835573462166,"score_gpt":0.22083492828989948,"score_spread":0.20814657255527783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999581873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54698324,0.00026615747,0.44783086,0.00014147318,0.000102115475,0.000038627957,0.000017557617,0.00019002933,0.004429953],"genre_scores_gemma":[0.9847233,0.000056131328,0.014329442,0.000008744867,0.000008283327,0.000014465198,0.000004632111,0.0000051438633,0.0008497462],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994934,0.000009695514,0.000002621405,0.000012156029,0.000019760239,0.0000064324427],"domain_scores_gemma":[0.9999254,0.000025765226,0.000021520016,0.0000057057405,0.000016188642,0.0000053764857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012961081,0.00021047128,0.00013522699,0.00007185279,0.00013925564,0.00019465548,0.00031714485,0.00017428823,0.00047509946],"category_scores_gemma":[0.00020804052,0.00008133545,0.00013122185,0.000060502596,0.00021583909,0.000120239274,0.00024403985,0.00013619105,0.00005871213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015498498,0.000056183846,0.0003632641,0.00012052355,0.000023462851,0.00020724395,0.00015992075,0.07266578,0.8851446,0.007513825,0.00024980208,0.033340465],"study_design_scores_gemma":[0.000048433038,0.00039978742,0.0005376399,0.0000060827047,0.000019079112,0.00006285629,0.000015473857,0.88806593,0.10856871,0.0008261528,0.0014358223,0.000014004471],"about_ca_topic_score_codex":0.00043159345,"about_ca_topic_score_gemma":0.00039573794,"teacher_disagreement_score":0.00047509946,"about_ca_system_score_codex":0.00014530175,"about_ca_system_score_gemma":0.00012895362,"threshold_uncertainty_score":0.0015894175},"labels":[],"label_agreement":null},{"id":"W2002198692","doi":"10.1155/2014/865968","title":"Possibilistic Fuzzy Net Present Value Model and Application","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Net (polyhedron); Moment (physics); Fuzzy logic; Cash flow; Mathematics; Net present value; Present value; Value (mathematics); Flow (mathematics); Function (biology); Fuzzy number; Order (exchange); Applied mathematics; Mathematical optimization; Fuzzy set; Computer science; Statistics; Economics; Artificial intelligence; Production (economics); Geometry","score_opus":0.016148160367036552,"score_gpt":0.24511844887872708,"score_spread":0.22897028851169052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002198692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025571587,0.0024985098,0.931659,0.0014330136,0.00009924249,0.00006344678,0.00028637482,0.00018641504,0.038202327],"genre_scores_gemma":[0.88564396,0.0021165719,0.09428336,0.0001634778,0.00017109598,0.00015521268,0.00018984711,0.000041264066,0.017235173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939597,0.0001822026,0.000028108634,0.00011843063,0.0002183389,0.00005689098],"domain_scores_gemma":[0.99929595,0.00037097017,0.000085581145,0.000049375594,0.0001429034,0.000055249966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088258536,0.00076779013,0.0009097071,0.0011685325,0.00080549665,0.0018694361,0.0018727499,0.002182727,0.0057504945],"category_scores_gemma":[0.0027357163,0.00040289003,0.0012971059,0.0015866191,0.0009931703,0.0023341696,0.0012337633,0.0017907013,0.0005821036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003914085,0.000036673893,0.0004028033,0.0001185798,0.000036299,0.00041642578,0.00013340653,0.43011814,0.0011007825,0.5506423,0.001311032,0.015644345],"study_design_scores_gemma":[0.0000055340115,0.00001721202,0.000099086414,0.000016556744,0.0000097064,0.00015630177,0.000021025715,0.80244863,0.0002484273,0.1941984,0.0027592075,0.000019896097],"about_ca_topic_score_codex":0.003736178,"about_ca_topic_score_gemma":0.0020188035,"teacher_disagreement_score":0.0057504945,"about_ca_system_score_codex":0.0018082458,"about_ca_system_score_gemma":0.0010018675,"threshold_uncertainty_score":0.01923734},"labels":[],"label_agreement":null},{"id":"W2005740289","doi":"10.1155/2012/478295","title":"Multidimensional Wave Field Signal Theory: Transfer Function Relationships","year":2011,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wavenumber; Helmholtz equation; Fourier transform; Curvilinear coordinates; Transfer function; Helmholtz free energy; Frequency domain; Mathematical analysis; Mathematics; Inversion (geology); Multidimensional systems; Physics; Geometry; Optics","score_opus":0.028771441076376685,"score_gpt":0.18140694775649704,"score_spread":0.15263550668012035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005740289","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031233593,0.0014499614,0.98857063,0.00043226464,0.000058814345,0.00001694732,0.000056840603,0.00009146436,0.0061997436],"genre_scores_gemma":[0.37122518,0.011788454,0.5909763,0.0010298599,0.0008185268,0.00034833362,0.0004326972,0.0003504906,0.023030158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995196,0.00017194779,0.000023056416,0.00009047369,0.00016630917,0.000028523133],"domain_scores_gemma":[0.99921906,0.00040609922,0.00008875176,0.00009548225,0.0001632418,0.00002744162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010172786,0.00076971244,0.00042884424,0.0013528533,0.0002988871,0.0020745045,0.0008091835,0.0012033352,0.003968568],"category_scores_gemma":[0.0030268189,0.00030243892,0.00053021585,0.0011494423,0.0014362679,0.0027968292,0.00096911605,0.001664516,0.001834864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023341468,0.00002918037,0.0002998838,0.00018622109,0.000024309069,0.00017368195,0.00025141923,0.06222742,0.006369389,0.85759926,0.0021915669,0.070624344],"study_design_scores_gemma":[0.000009845433,0.000038766182,0.00033334555,0.000049438317,0.000013238602,0.00033942526,0.000056774905,0.39290616,0.0026621628,0.5911499,0.012405057,0.00003584322],"about_ca_topic_score_codex":0.0007001915,"about_ca_topic_score_gemma":0.00034951206,"teacher_disagreement_score":0.003968568,"about_ca_system_score_codex":0.0007912197,"about_ca_system_score_gemma":0.00036859844,"threshold_uncertainty_score":0.01327616},"labels":[],"label_agreement":null},{"id":"W2007393642","doi":"10.1155/2013/760939","title":"Vibrations due to Flow-Driven Repeated Impacts","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Vibration; Mechanics; Drag; Coefficient of restitution; Momentum (technical analysis); Quadratic equation; Mechanism (biology); Drag coefficient; Flow (mathematics); Focus (optics); Fluid–structure interaction; Classical mechanics; Physics; Mathematics; Engineering; Structural engineering; Geometry; Finite element method; Acoustics","score_opus":0.008199837011886814,"score_gpt":0.1877951454672914,"score_spread":0.17959530845540458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007393642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79995745,0.00027605094,0.1856284,0.00027829033,0.00008095815,0.000049409402,0.00011275451,0.00017377619,0.0134429205],"genre_scores_gemma":[0.9951499,0.000083296836,0.0014291627,0.000026228669,0.000011592341,0.000023740073,0.000028331593,0.00001577417,0.0032319692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998548,0.000027788905,0.0000051342668,0.000027955728,0.000043689743,0.00004051561],"domain_scores_gemma":[0.99978966,0.000067681656,0.000058993595,0.000019094714,0.000021207416,0.000043333945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688271,0.00050143903,0.0005031773,0.00038952715,0.0003283156,0.00053824077,0.0006849921,0.0010656776,0.0016350431],"category_scores_gemma":[0.0007128752,0.00027141947,0.00066970976,0.0002538118,0.0012057986,0.00062414,0.00095526176,0.0005026442,0.00015932064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007623769,0.000037537222,0.0012679294,0.000042355034,0.000026520123,0.0005105031,0.00016782043,0.97211456,0.011108387,0.01137002,0.00025475654,0.0030233588],"study_design_scores_gemma":[0.000008586843,0.000022059789,0.0004747259,0.0000028730192,0.000004213494,0.000038520277,0.000023275683,0.9970138,0.0003236587,0.001989998,0.000089374706,0.000008923916],"about_ca_topic_score_codex":0.0044103144,"about_ca_topic_score_gemma":0.0018148308,"teacher_disagreement_score":0.0044103144,"about_ca_system_score_codex":0.00044242025,"about_ca_system_score_gemma":0.0003527398,"threshold_uncertainty_score":0.008769333},"labels":[],"label_agreement":null},{"id":"W2007530979","doi":"10.1155/mpe/2006/91846","title":"Closed‐form solution for piezoelectric layer with two collinear cracks parallel to the boundaries","year":2006,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Numerical methods in engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Piezoelectricity; Electric displacement field; Mathematical analysis; Displacement (psychology); Trigonometric functions; Layer (electronics); Stress intensity factor; Plane (geometry); Integral equation; Materials science; Mathematics; Stress (linguistics); Kernel (algebra); Geometry; Composite material; Fracture mechanics; Pure mathematics","score_opus":0.013388457055939008,"score_gpt":0.24274986355483516,"score_spread":0.22936140649889616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007530979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08454597,0.00092862523,0.8911501,0.0008066082,0.0001414886,0.0001306876,0.00034556238,0.0002767939,0.021674192],"genre_scores_gemma":[0.6738257,0.0011101366,0.2859499,0.00039405437,0.00015383783,0.0006632014,0.00064531574,0.0002945523,0.03696343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997434,0.000040311308,0.000010944292,0.000069952715,0.00008988679,0.000045457713],"domain_scores_gemma":[0.99896634,0.0005703155,0.00009735143,0.00004728007,0.00025257448,0.00006622943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009656312,0.0008441777,0.001251238,0.0006172636,0.00052169967,0.0017153943,0.0012651592,0.0034755426,0.0078029423],"category_scores_gemma":[0.0033814202,0.0006469597,0.0006581882,0.00049136835,0.0011193777,0.0014486002,0.0012612303,0.0012473749,0.0006640925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007108069,0.00007740175,0.0009864997,0.00034295744,0.000031395924,0.0005039487,0.00025627896,0.87973,0.006036402,0.09550302,0.0020439122,0.014417107],"study_design_scores_gemma":[0.000022104881,0.000014452452,0.00012539618,0.0000147848,0.000004819104,0.000049574555,0.00006419285,0.9884715,0.00048864394,0.0099350475,0.0007993019,0.000010084512],"about_ca_topic_score_codex":0.0052035446,"about_ca_topic_score_gemma":0.0039465856,"teacher_disagreement_score":0.0078029423,"about_ca_system_score_codex":0.0008516249,"about_ca_system_score_gemma":0.0016907814,"threshold_uncertainty_score":0.026103437},"labels":[],"label_agreement":null},{"id":"W2010488371","doi":"10.1155/2014/905826","title":"A Bioinspired Neural Model Based Extended Kalman Filter for Robot SLAM","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Fundamental Research Funds for the Central Universities; Science and Technology Commission of Shanghai Municipality; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Extended Kalman filter; Robustness (evolution); Simultaneous localization and mapping; Noise (video); Computer science; Kalman filter; Artificial intelligence; Robot; Control theory (sociology); Computer vision; Mobile robot","score_opus":0.016500793663595394,"score_gpt":0.2121746838527255,"score_spread":0.19567389018913012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010488371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004537279,0.0003947701,0.99304044,0.00009661404,0.000082406834,0.000013755892,0.000035065714,0.00026090915,0.0015388307],"genre_scores_gemma":[0.68452716,0.0013715195,0.30495504,0.0002758449,0.00015399068,0.00024935347,0.00032132602,0.000058676917,0.008087066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996691,0.000052535263,0.000021090325,0.00011186859,0.000118055184,0.000027339853],"domain_scores_gemma":[0.9997718,0.000053492993,0.000036090318,0.000020914402,0.00010860048,0.0000091814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044270544,0.0005106017,0.0006211148,0.00033035802,0.0003611336,0.0005211326,0.0009632178,0.0009096746,0.0014243406],"category_scores_gemma":[0.0010056103,0.0002730953,0.0005965431,0.0005736844,0.00038381832,0.0009125428,0.0006497224,0.00086184946,0.00038895404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006681367,0.000047340276,0.0008428591,0.00014027598,0.00007256513,0.00011649413,0.000086673346,0.82630354,0.008720706,0.009210414,0.0015857031,0.15280658],"study_design_scores_gemma":[0.000006954101,0.000028035107,0.00016668164,0.000007973996,0.000010713681,0.000027893788,0.0000047580947,0.9962979,0.0008009444,0.0014735591,0.0011653329,0.000009289948],"about_ca_topic_score_codex":0.009376176,"about_ca_topic_score_gemma":0.00790829,"teacher_disagreement_score":0.009376176,"about_ca_system_score_codex":0.0005994741,"about_ca_system_score_gemma":0.0008122207,"threshold_uncertainty_score":0.0186432},"labels":[],"label_agreement":null},{"id":"W2012202749","doi":"10.1155/2012/792057","title":"A New Method for Bilateral Teleoperation Passivity under Varying Time Delays","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Teleoperation; Passivity; Control theory (sociology); Channel (broadcasting); Estimator; Feed forward; Constant (computer programming); Block (permutation group theory); Computer science; Haptic technology; Simulation; Engineering; Control engineering; Control (management); Mathematics; Telecommunications; Artificial intelligence","score_opus":0.017924763795434787,"score_gpt":0.2525315835093281,"score_spread":0.2346068197138933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012202749","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007961661,0.000064433414,0.9984805,0.00001597308,0.000029142853,0.000013211634,0.000005153103,0.00006166742,0.0005337636],"genre_scores_gemma":[0.2292857,0.0007943208,0.7582431,0.00011147182,0.00022376917,0.00032400127,0.0000702566,0.00013356746,0.010813879],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995202,0.00009981217,0.000027107122,0.00011231198,0.00020166072,0.000038890754],"domain_scores_gemma":[0.99960357,0.00015937522,0.0000461433,0.000056936133,0.00011047225,0.0000235152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007475997,0.0010279807,0.00077826617,0.000663291,0.00036100554,0.0007958733,0.0011130223,0.0010480604,0.0037266978],"category_scores_gemma":[0.0013595355,0.00035109234,0.0009959802,0.00035354492,0.0008064578,0.0013531788,0.0012156577,0.0013087415,0.00056167814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018217009,0.00010320229,0.00042253456,0.0006272123,0.0001795414,0.00043180128,0.00051267206,0.2492173,0.11135423,0.17744002,0.0032763032,0.45625302],"study_design_scores_gemma":[0.000032090044,0.00020116544,0.00019775111,0.000027925445,0.00003962781,0.00034147414,0.00003411462,0.9652219,0.011071389,0.014152651,0.008634036,0.000045888464],"about_ca_topic_score_codex":0.0010047982,"about_ca_topic_score_gemma":0.0010826394,"teacher_disagreement_score":0.0037266978,"about_ca_system_score_codex":0.0004992899,"about_ca_system_score_gemma":0.00073740503,"threshold_uncertainty_score":0.012467027},"labels":[],"label_agreement":null},{"id":"W2013634234","doi":"10.1155/2012/678952","title":"Metropolis Parking Problems and Management Planning Solutions for Traffic Operation Effectiveness","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"National Natural Science Foundation of China","keywords":"Transport engineering; Urbanization; Parking guidance and information; Computer science; Perspective (graphical); Operations research; Engineering; Economics","score_opus":0.044092605319705054,"score_gpt":0.2766152962275899,"score_spread":0.23252269090788485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013634234","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.123094186,0.0034447762,0.7992955,0.008157039,0.00017176048,0.00028552272,0.0006154033,0.0003335071,0.06460224],"genre_scores_gemma":[0.85792035,0.0023752055,0.12915944,0.000160144,0.00013191994,0.00023025706,0.0003291692,0.000047887348,0.009645563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992632,0.00032235202,0.000044330398,0.00013041375,0.00015265202,0.00008712419],"domain_scores_gemma":[0.9992397,0.00039147687,0.00011566711,0.000044060667,0.00015104609,0.00005812681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010535176,0.00052472315,0.000519837,0.0011521676,0.00078162004,0.0021302355,0.00075049134,0.00091365166,0.0067304764],"category_scores_gemma":[0.0033447363,0.00030215763,0.0007838741,0.0012239895,0.0011017984,0.0022068396,0.0014560506,0.0011151725,0.00028262948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042261418,0.00006044981,0.0027587712,0.00022066875,0.00007988862,0.00012705775,0.0002697294,0.23045617,0.00051998824,0.71074754,0.004335112,0.050382383],"study_design_scores_gemma":[0.000027942335,0.00006932898,0.0020419376,0.000079942416,0.000052116255,0.00015158995,0.00083038496,0.53174937,0.0009132175,0.45186365,0.012193472,0.000027065442],"about_ca_topic_score_codex":0.0038103575,"about_ca_topic_score_gemma":0.0040022507,"teacher_disagreement_score":0.0067304764,"about_ca_system_score_codex":0.0016931681,"about_ca_system_score_gemma":0.00180654,"threshold_uncertainty_score":0.022515655},"labels":[],"label_agreement":null},{"id":"W2015541171","doi":"10.1155/mpe/2006/42489","title":"Discrete‐time systems with time‐varying time delay: Stability and stabilizability","year":2006,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control theory (sociology); Discrete time and continuous time; Upper and lower bounds; Formalism (music); Stability (learning theory); Class (philosophy); Time complexity; Mathematics; Computer science; Control (management); Algorithm; Mathematical analysis","score_opus":0.006191179091899632,"score_gpt":0.17247894380342096,"score_spread":0.16628776471152135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015541171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04850658,0.0036512434,0.93329275,0.0007999995,0.00020236359,0.00007965977,0.00015928024,0.00030384748,0.013004136],"genre_scores_gemma":[0.9676068,0.0023360364,0.024550434,0.0000870652,0.00019716258,0.00011230578,0.00012054605,0.000027615524,0.0049620373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963,0.00005211529,0.000020538815,0.00009544795,0.00015796203,0.000043983313],"domain_scores_gemma":[0.9993358,0.00034516558,0.0001600941,0.000038673636,0.00009920146,0.000021008611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003453327,0.0006504237,0.00051260495,0.0002891206,0.0004095819,0.0012350202,0.0005583538,0.0008418951,0.0017323839],"category_scores_gemma":[0.0018194589,0.00022167388,0.00027327187,0.00062998943,0.0007923466,0.0009431375,0.00065011973,0.0009540797,0.00031283527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044704234,0.00010032657,0.0014023286,0.00087660423,0.00007772255,0.001297162,0.00050637266,0.5887461,0.064459674,0.24118735,0.0026398788,0.09825951],"study_design_scores_gemma":[0.000051555606,0.0001268808,0.0007321159,0.00003653341,0.000030015444,0.00026224004,0.0000770752,0.9315808,0.008871632,0.051957354,0.0062455,0.000028459222],"about_ca_topic_score_codex":0.0023669268,"about_ca_topic_score_gemma":0.001159766,"teacher_disagreement_score":0.0023669268,"about_ca_system_score_codex":0.00055707374,"about_ca_system_score_gemma":0.000493402,"threshold_uncertainty_score":0.0057953596},"labels":[],"label_agreement":null},{"id":"W2015704531","doi":"10.1155/2008/930820","title":"Closed‐Form Solutions for a Mode‐III Moving Interface Crack at theInterface of Two Bonded Dissimilar Orthotropic Elastic Layers","year":2008,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Numerical methods in engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Orthotropic material; Antiplane shear; Tearing; Materials science; Shear (geology); Enhanced Data Rates for GSM Evolution; Structural engineering; Composite material; Stress intensity factor; Mechanics; Geometry; Fracture mechanics; Mathematics; Physics; Engineering","score_opus":0.030005694828468956,"score_gpt":0.2755326115749728,"score_spread":0.24552691674650381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015704531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058373943,0.0006345508,0.920887,0.00057950994,0.00015568333,0.00014501184,0.00020086797,0.00018767001,0.018835688],"genre_scores_gemma":[0.53147626,0.0012769413,0.42091143,0.00034875056,0.000165189,0.0010395468,0.00056135736,0.00030013244,0.043920364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997751,0.000045565674,0.000010516737,0.00004090593,0.00009533462,0.000032544292],"domain_scores_gemma":[0.99905115,0.00051959173,0.00012775618,0.000039950697,0.00021005621,0.000051468684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010798816,0.0010983993,0.00094252615,0.000720067,0.0006060818,0.0017295025,0.0013735272,0.0038683894,0.00824356],"category_scores_gemma":[0.0035112866,0.0005651779,0.00085215125,0.00049909716,0.0014933541,0.0013368796,0.0011544867,0.0015569244,0.0009054396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106532236,0.00024412926,0.001141754,0.00054716197,0.000050942792,0.00090609846,0.000830629,0.47588772,0.01734144,0.4536606,0.0051696026,0.044113412],"study_design_scores_gemma":[0.0000556406,0.000048673817,0.0002268207,0.000038136157,0.000010121789,0.00020745868,0.0002435853,0.9586068,0.0017224856,0.036364425,0.0024451218,0.00003078459],"about_ca_topic_score_codex":0.0014003075,"about_ca_topic_score_gemma":0.0018362278,"teacher_disagreement_score":0.00824356,"about_ca_system_score_codex":0.0007483988,"about_ca_system_score_gemma":0.0012462569,"threshold_uncertainty_score":0.02757746},"labels":[],"label_agreement":null},{"id":"W2016656428","doi":"10.1155/2014/926079","title":"Statistical Pattern‐Based Assessment of Structural Health Monitoring Data","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Structural health monitoring; Reliability (semiconductor); Matching (statistics); Bridge (graph theory); Data mining; Computer science; Statistical hypothesis testing; Reliability engineering; Test data; Engineering; Statistics; Structural engineering; Mathematics","score_opus":0.041667308234789535,"score_gpt":0.34546653965154606,"score_spread":0.3037992314167565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016656428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19012879,0.00046098037,0.8055537,0.00022208133,0.000050539642,0.00011538988,0.0008610338,0.0006625301,0.0019449985],"genre_scores_gemma":[0.88737434,0.0003597291,0.11022817,0.000055497312,0.000053645887,0.00011299232,0.0010708197,0.000047901984,0.00069686613],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869365,0.00028312116,0.000117784206,0.00020599212,0.00064749137,0.000051963296],"domain_scores_gemma":[0.99503845,0.0024421583,0.00080929487,0.00050218456,0.0011333429,0.000074523494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017127312,0.00054583664,0.0005094131,0.0028774312,0.00014867578,0.0007535722,0.0005240923,0.0005734015,0.0008612669],"category_scores_gemma":[0.008603338,0.0001984321,0.0003458348,0.0021753688,0.0003521122,0.0014683966,0.0006290804,0.00046647975,0.00037826935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043619986,0.00026663853,0.06233946,0.00036310044,0.00022947899,0.0003299484,0.00025006008,0.17534673,0.06217864,0.0062110364,0.0017103644,0.69033843],"study_design_scores_gemma":[0.000010594022,0.0002516116,0.04819363,0.000027970606,0.000048775833,0.0003199827,0.000114640534,0.92857003,0.014100545,0.0064453376,0.0018726839,0.000044203516],"about_ca_topic_score_codex":0.00090928294,"about_ca_topic_score_gemma":0.00093023985,"teacher_disagreement_score":0.0028774312,"about_ca_system_score_codex":0.00030269133,"about_ca_system_score_gemma":0.00034922248,"threshold_uncertainty_score":0.009057879},"labels":[],"label_agreement":null},{"id":"W2016755071","doi":"10.1155/2007/14504","title":"Delay Analysis of an<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"E1\"><mml:mrow><mml:mi>M</mml:mi><mml:mo>/</mml:mo><mml:mi>G</mml:mi><mml:mo>/</mml:mo><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mi>K</mml:mi></mml:mrow></mml:math>Priority Queueing System with Push-out Scheme","year":2007,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Iran Telecommunication Research Center; LG Yeonam Cultural Foundation","keywords":"Algorithm; Computer science","score_opus":0.012971276414057127,"score_gpt":0.22457110485479925,"score_spread":0.21159982844074213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016755071","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33707476,0.0024573212,0.6340236,0.0027721901,0.00030776273,0.0001942022,0.0006257814,0.00041726636,0.022127012],"genre_scores_gemma":[0.97974396,0.00064887793,0.009515938,0.000101587626,0.0000867505,0.000040045503,0.00012038074,0.000064999025,0.009677405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945134,0.00010751052,0.000019889949,0.00009408192,0.00012409271,0.00020301218],"domain_scores_gemma":[0.998243,0.0010337796,0.00017363882,0.000043440392,0.00034957952,0.00015660473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000971496,0.0007572716,0.00064317207,0.00074019376,0.0007035841,0.0014101565,0.00093497284,0.0006580665,0.0052747647],"category_scores_gemma":[0.0028963815,0.0003293379,0.0005499104,0.00043177142,0.0007115317,0.0012388002,0.00089613843,0.0008459851,0.00031184396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050498504,0.00008598416,0.0031747585,0.00020968978,0.000086357744,0.00056029245,0.00032888722,0.86728007,0.012953909,0.09833846,0.003530614,0.0129458625],"study_design_scores_gemma":[0.0000078334615,0.000031734962,0.00024645086,0.000006477665,0.000014751288,0.000028479366,0.000040721457,0.9928444,0.00063469924,0.0057512154,0.0003850784,0.00000816835],"about_ca_topic_score_codex":0.018188557,"about_ca_topic_score_gemma":0.010308592,"teacher_disagreement_score":0.018188557,"about_ca_system_score_codex":0.0029372412,"about_ca_system_score_gemma":0.0019825604,"threshold_uncertainty_score":0.036165416},"labels":[],"label_agreement":null},{"id":"W2017660874","doi":"10.1155/2012/178651","title":"A Compromise Programming Model for Highway Maintenance Resources Allocation Problem","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Compromise; Bridge (graph theory); Computer science; Mathematical optimization; Resource allocation; Resource (disambiguation); Programming paradigm; Optimal maintenance; Operations research; Engineering; Mathematics","score_opus":0.01274814095388648,"score_gpt":0.21626380410783838,"score_spread":0.2035156631539519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017660874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067132693,0.00027472683,0.98523337,0.00028296252,0.000025908801,0.000039672133,0.000076203665,0.000075103846,0.007278704],"genre_scores_gemma":[0.634508,0.0013485755,0.3441041,0.00024673078,0.000096441094,0.00071401545,0.0003640126,0.0001439809,0.018474173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989845,0.0004166287,0.000040703086,0.00020113616,0.00023898065,0.00011801182],"domain_scores_gemma":[0.9992268,0.00049282756,0.00007476414,0.00002877361,0.0001228417,0.000054030326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015484138,0.0011469579,0.001252854,0.00075443584,0.00054692564,0.0023169608,0.0015477851,0.0021958745,0.0041527734],"category_scores_gemma":[0.0027037954,0.00078240025,0.0011561898,0.001222479,0.0009558972,0.0017407998,0.0014944011,0.0022557997,0.00060459785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002160442,0.00002515102,0.000107242624,0.000053647986,0.000017072422,0.00007615773,0.000055076616,0.96018803,0.0005736434,0.03277884,0.0005011377,0.005602334],"study_design_scores_gemma":[0.0000061548753,0.000020152711,0.000030760588,0.000009240761,0.000005615227,0.00002232664,0.000013287522,0.98458683,0.00013717887,0.014251319,0.00091065717,0.000006470808],"about_ca_topic_score_codex":0.00266504,"about_ca_topic_score_gemma":0.0018689131,"teacher_disagreement_score":0.0041527734,"about_ca_system_score_codex":0.0016637159,"about_ca_system_score_gemma":0.0014788306,"threshold_uncertainty_score":0.013892412},"labels":[],"label_agreement":null},{"id":"W2020593786","doi":"10.1155/2014/292609","title":"A Structured Approach to Solve the Inverse Eigenvalue Problem for a Beam with Added Mass","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Elasticity and Wave Propagation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eigenvalues and eigenvectors; Inverse; Beam (structure); Euler's formula; Point (geometry); Inverse problem; Inverse system; Bernoulli's principle; Field (mathematics); Mathematics; Mathematical analysis; Applied mathematics; Physics; Engineering; Structural engineering; Geometry; Pure mathematics; Aerospace engineering; Quantum mechanics","score_opus":0.009641909044681101,"score_gpt":0.18004910663299883,"score_spread":0.17040719758831774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020593786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018540453,0.000041515043,0.9956293,0.00006921803,0.000029229877,0.000027252023,0.0000118614535,0.000031306397,0.0023062548],"genre_scores_gemma":[0.080460474,0.0003297169,0.90649945,0.00018661954,0.00013199415,0.00038353243,0.000089113215,0.00010622082,0.011812882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997664,0.00007220265,0.000008959619,0.000039286202,0.000096912496,0.000016294856],"domain_scores_gemma":[0.99970216,0.00016261962,0.00002245526,0.000026751866,0.000069749454,0.000016334729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006775161,0.00086714857,0.0005969031,0.0005525321,0.00038287856,0.0006250651,0.0009783752,0.0014166469,0.0074705053],"category_scores_gemma":[0.0011769062,0.00042911724,0.0009878399,0.0002844824,0.00081808446,0.0008565827,0.0013564115,0.0014185889,0.0015562522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007354417,0.00017099336,0.00037187774,0.00044248352,0.00007104759,0.0002966883,0.00038392452,0.6407546,0.032691155,0.23381315,0.0040753605,0.086855166],"study_design_scores_gemma":[0.000023271876,0.00010208698,0.00007175151,0.000024117318,0.000010427798,0.00007214047,0.000049924656,0.9547979,0.0012297188,0.039394587,0.0042111627,0.000013026259],"about_ca_topic_score_codex":0.00084479526,"about_ca_topic_score_gemma":0.0014712246,"teacher_disagreement_score":0.0074705053,"about_ca_system_score_codex":0.00024762072,"about_ca_system_score_gemma":0.0008502784,"threshold_uncertainty_score":0.024991393},"labels":[],"label_agreement":null},{"id":"W2022123767","doi":"10.1155/2013/848392","title":"An Improved Secure Image Encryption Algorithm Based on Rubik's Cube Principle and Digital Chaotic Cipher","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Encryption; Cipher; Cube (algebra); Algorithm; Cryptosystem; Image (mathematics); Bitwise operation; Key space; CHAOS (operating system); Computer science; Block cipher; Watermarking attack; Digital image; Cryptography; Chaotic; Mathematics; Theoretical computer science; Probabilistic encryption; Deterministic encryption; Image processing; Artificial intelligence; Computer security","score_opus":0.005173535195256191,"score_gpt":0.20734471028135074,"score_spread":0.20217117508609456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022123767","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05125487,0.0013084164,0.93492407,0.0005132215,0.00022283832,0.00016910597,0.000109928704,0.00092470297,0.0105728805],"genre_scores_gemma":[0.45009217,0.0013966801,0.5373964,0.0002041206,0.00010923997,0.00013956317,0.00021769335,0.000102584076,0.0103415325],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976677,0.000031877542,0.000020013073,0.000031782318,0.000119089906,0.000030438685],"domain_scores_gemma":[0.9998641,0.000026682763,0.000019250645,0.00002639812,0.000051036353,0.00001253287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022278033,0.00042297554,0.00054242456,0.0005364367,0.00025869167,0.00044810047,0.00056654407,0.00043580605,0.001295694],"category_scores_gemma":[0.0003861974,0.00016730413,0.00053178024,0.0005652617,0.00039611573,0.0010978559,0.0005551052,0.00061712833,0.0006370907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057362247,0.00010121124,0.0007570889,0.0004395154,0.000105004816,0.001216266,0.00032531322,0.07257129,0.35350856,0.20219737,0.0064869216,0.36171782],"study_design_scores_gemma":[0.00019084518,0.00051795086,0.00093107513,0.0000496741,0.00008665631,0.0031420193,0.00007095098,0.74041325,0.18193664,0.026711365,0.04581759,0.0001320376],"about_ca_topic_score_codex":0.0006728063,"about_ca_topic_score_gemma":0.00049399544,"teacher_disagreement_score":0.001295694,"about_ca_system_score_codex":0.00041431887,"about_ca_system_score_gemma":0.00068801607,"threshold_uncertainty_score":0.0043345094},"labels":[],"label_agreement":null},{"id":"W2023997661","doi":"10.1155/2011/586316","title":"Fatigue Reliability Sensitivity Analysis of Complex Mechanical Components under Random Excitation","year":2011,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Program for Changjiang Scholars and Innovative Research Team in University; Fundamental Research Funds for the Central Universities","keywords":"Reliability (semiconductor); Sensitivity (control systems); Monte Carlo method; Structural engineering; Reliability engineering; Limit state design; Vibration fatigue; Random variable; Moment (physics); Engineering; Failure mode and effects analysis; First-order reliability method; Computer science; Mathematics; Finite element method; Statistics; Physics","score_opus":0.06132771083652649,"score_gpt":0.23922447714440395,"score_spread":0.17789676630787746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023997661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5139639,0.0006392483,0.4806198,0.00015830685,0.000016300612,0.000050800012,0.0000981565,0.00022052552,0.004232955],"genre_scores_gemma":[0.99458534,0.00013394114,0.004845719,0.000010393577,0.000004964732,0.00002096835,0.000027851816,0.0000113102815,0.0003595168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999387,0.00021382152,0.000017894485,0.00009141009,0.00023317398,0.000056689325],"domain_scores_gemma":[0.9971317,0.0020799008,0.0002909132,0.00015737368,0.0003124748,0.000027654347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012774427,0.0004521434,0.00037689216,0.0009245604,0.00014086979,0.00028683714,0.0003247685,0.00045273124,0.0005030027],"category_scores_gemma":[0.004047174,0.0002895203,0.00044775015,0.0003281044,0.00051148527,0.00039605118,0.0003298576,0.00028739282,0.000075538956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052711475,0.000019649726,0.0012004218,0.000046436202,0.000039346614,0.00010893215,0.00005238963,0.97385865,0.014770855,0.003547775,0.000111582,0.0061912867],"study_design_scores_gemma":[0.000002134195,0.000033731885,0.0012717934,0.00000317275,0.000010406331,0.00003768824,0.0000063524903,0.99535286,0.0019731182,0.0012193257,0.00008206841,0.000007350558],"about_ca_topic_score_codex":0.0017544256,"about_ca_topic_score_gemma":0.000677232,"teacher_disagreement_score":0.0017544256,"about_ca_system_score_codex":0.00055498775,"about_ca_system_score_gemma":0.00022628091,"threshold_uncertainty_score":0.0067558885},"labels":[],"label_agreement":null},{"id":"W2024687844","doi":"10.1155/2013/482095","title":"An Inventory-Theory-Based Inexact Multistage Stochastic Programming Model for Water Resources Management","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Program for Changjiang Scholars and Innovative Research Team in University; National Key Research and Development Program of China; State Key Laboratory of Hydroscience and Engineering; National Natural Science Foundation of China","keywords":"Economic shortage; Mathematical optimization; Stochastic programming; Computer science; Context (archaeology); Dynamic programming; Operations research; Inventory management; Mathematics; Operations management; Engineering","score_opus":0.010970689552596762,"score_gpt":0.2008256065170339,"score_spread":0.18985491696443715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024687844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004441452,0.00018428145,0.9928053,0.00014700805,0.000035218898,0.00003444823,0.00010688374,0.00007509804,0.0021703467],"genre_scores_gemma":[0.7767164,0.0013676335,0.21071498,0.00016657135,0.00010565011,0.00080832245,0.0005848021,0.00010127932,0.009434377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921,0.00029196302,0.000042701187,0.00011065794,0.00025049178,0.00009417067],"domain_scores_gemma":[0.99891937,0.0006546794,0.00014294889,0.000032372685,0.00018925447,0.00006146925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015422044,0.0010753804,0.0017159334,0.00073724164,0.00051213,0.001587052,0.0017654409,0.0015801196,0.0025918926],"category_scores_gemma":[0.0027622972,0.00079832546,0.0012640619,0.0012077275,0.0012496029,0.0012864157,0.0012219773,0.0021093343,0.00028680186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000770243,0.000006984308,0.0000674999,0.000024865452,0.000006483956,0.000023516064,0.000010042854,0.9922603,0.00012265684,0.0056838994,0.00016613536,0.0016198657],"study_design_scores_gemma":[0.0000016670714,0.0000050222325,0.00001770007,0.0000022234794,0.000002209385,0.0000028580716,0.0000020002528,0.9982395,0.00004576178,0.001546517,0.00013199373,0.0000025149975],"about_ca_topic_score_codex":0.011037281,"about_ca_topic_score_gemma":0.0069189817,"teacher_disagreement_score":0.011037281,"about_ca_system_score_codex":0.0015668172,"about_ca_system_score_gemma":0.0026412648,"threshold_uncertainty_score":0.021946073},"labels":[],"label_agreement":null},{"id":"W2024797507","doi":"10.1155/s1024123x01001715","title":"Absolute stability of nonlinear systems with time delays and applications to neural networks","year":2001,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Artificial neural network; Stability (learning theory); Control theory (sociology); Simple (philosophy); Exponential stability; Mathematics; Differential (mechanical device); Computer science; Applied mathematics; Engineering; Physics; Artificial intelligence; Machine learning","score_opus":0.011943625278341788,"score_gpt":0.2043686163108511,"score_spread":0.19242499103250932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024797507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06538234,0.010413716,0.9090865,0.0008410706,0.00027689064,0.00001637316,0.000049873717,0.00013603187,0.013797135],"genre_scores_gemma":[0.9347388,0.008155525,0.04668587,0.00010940653,0.00029582132,0.000063024076,0.00007975017,0.000043608146,0.009828097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997749,0.000046149362,0.000020456715,0.00005184201,0.00008709676,0.000019530062],"domain_scores_gemma":[0.9994266,0.00034794584,0.00007990136,0.000023281867,0.00010296992,0.000019301953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005204324,0.00049783476,0.00039280285,0.00063152204,0.00032810718,0.00066255755,0.00044040405,0.00053772953,0.001853631],"category_scores_gemma":[0.0017450475,0.00019261372,0.00027511382,0.0006722596,0.00092372304,0.0013220123,0.00079521904,0.0007033247,0.00020507531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012615649,0.000026003541,0.00063365063,0.0004531927,0.00006525529,0.00036799005,0.00041606143,0.28363675,0.035954807,0.59332174,0.0011864027,0.083812036],"study_design_scores_gemma":[0.000013034605,0.000093970586,0.0004601353,0.00006137088,0.000023222738,0.00022001687,0.00010438185,0.6473324,0.008706605,0.3362928,0.006653544,0.00003855273],"about_ca_topic_score_codex":0.00086747087,"about_ca_topic_score_gemma":0.00071424205,"teacher_disagreement_score":0.001853631,"about_ca_system_score_codex":0.00045697344,"about_ca_system_score_gemma":0.0003917853,"threshold_uncertainty_score":0.0062010884},"labels":[],"label_agreement":null},{"id":"W2025002988","doi":"10.1155/2013/276987","title":"Minimum System Sensitivity Study of Linear Discrete Time Systems for Fault Detection","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Computer science; Mathematics","score_opus":0.007457646005535787,"score_gpt":0.20096347606576806,"score_spread":0.19350583006023228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025002988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042934243,0.0026181769,0.9384279,0.0015941478,0.00013225322,0.00008767553,0.00022822124,0.00021731465,0.013760065],"genre_scores_gemma":[0.9589726,0.0018122371,0.03155753,0.00046281618,0.00026810716,0.00021925697,0.00030281738,0.00015123487,0.00625347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977428,0.00090606476,0.00007759001,0.0003725809,0.00066819193,0.00023287539],"domain_scores_gemma":[0.984752,0.013213402,0.0006292547,0.0002945182,0.00082134956,0.0002895169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00268625,0.001726851,0.0014994021,0.0016848432,0.0005730464,0.0021189759,0.0010493111,0.00138182,0.004151039],"category_scores_gemma":[0.016734367,0.0007570948,0.0016254978,0.0008084378,0.0014983253,0.0020237889,0.0017065841,0.0034381773,0.00037698596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028164734,0.00007802953,0.001824785,0.00079573423,0.00033549813,0.0006896687,0.0007094389,0.72683,0.015838033,0.23511535,0.0022873008,0.015214572],"study_design_scores_gemma":[0.000008741714,0.000059343336,0.00055436254,0.000051188537,0.00003925431,0.0000766824,0.000034323937,0.9306631,0.0013129696,0.06636892,0.00081140583,0.00001966248],"about_ca_topic_score_codex":0.002673694,"about_ca_topic_score_gemma":0.0011785688,"teacher_disagreement_score":0.004151039,"about_ca_system_score_codex":0.001796533,"about_ca_system_score_gemma":0.001078205,"threshold_uncertainty_score":0.014206409},"labels":[],"label_agreement":null},{"id":"W2026747976","doi":"10.1155/s1024123x04403081","title":"Optimum feedback strategy for access control mechanism modelled as stochastic differential equation in computer network","year":2004,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computation; Network congestion; Stochastic differential equation; Mathematical optimization; Simulated annealing; Differential (mechanical device); Control (management); Control theory (sociology); Algorithm; Computer network; Engineering; Network packet; Mathematics; Artificial intelligence","score_opus":0.023346169320879313,"score_gpt":0.23871638430317918,"score_spread":0.21537021498229986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026747976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10245639,0.0006103209,0.89014983,0.0006505122,0.00005836285,0.000087827764,0.000046669447,0.000136607,0.005803525],"genre_scores_gemma":[0.9800367,0.0002532152,0.01674364,0.000053827855,0.000025530935,0.00009143398,0.000016488822,0.0000124600265,0.0027667135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999482,0.00017795766,0.000018537317,0.00010996208,0.00011538465,0.00009619781],"domain_scores_gemma":[0.999253,0.00041986702,0.00014135696,0.00002421977,0.00011579116,0.000045734905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009228051,0.0006837418,0.001000604,0.00047227423,0.00047640188,0.0010619502,0.0008850983,0.0012274863,0.0017598422],"category_scores_gemma":[0.0015534606,0.00038556725,0.00064932124,0.00038745048,0.0011388183,0.00090137334,0.0006364129,0.0007959559,0.00012280063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006163169,0.0000400665,0.00036469052,0.00006378031,0.000034872486,0.00014654976,0.000073157404,0.95402527,0.004113731,0.035019506,0.000426026,0.005630767],"study_design_scores_gemma":[0.000009362287,0.00002487626,0.000048943144,0.0000019099584,0.0000054236098,0.000007265528,0.000003807262,0.99729556,0.00019309636,0.0023198838,0.0000863596,0.000003407331],"about_ca_topic_score_codex":0.0077710296,"about_ca_topic_score_gemma":0.0040610307,"teacher_disagreement_score":0.0077710296,"about_ca_system_score_codex":0.0014247795,"about_ca_system_score_gemma":0.0009952328,"threshold_uncertainty_score":0.0154515505},"labels":[],"label_agreement":null},{"id":"W2028419090","doi":"10.1155/2015/832468","title":"Approximated Fractional Order Chebyshev Lowpass Filters","year":2015,"lang":"lv","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Algorithm; Chebyshev filter; Computer science; Mathematics; Mathematical analysis","score_opus":0.02472373247020114,"score_gpt":0.22663428808986424,"score_spread":0.2019105556196631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028419090","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014930123,0.000087718836,0.98281777,0.00005936417,0.000023950368,0.00001336278,0.000021586158,0.000341179,0.0017049989],"genre_scores_gemma":[0.35791382,0.0003044534,0.6340216,0.00012374249,0.00004286069,0.000093938055,0.00013776931,0.00013961828,0.007222205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99958223,0.0000877833,0.000018977846,0.00006405444,0.00019784195,0.00004921145],"domain_scores_gemma":[0.99957377,0.00015289472,0.00005299519,0.00006611505,0.00014199801,0.000012192556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006361673,0.0006934908,0.00056786695,0.0003434154,0.0003385696,0.0009683232,0.0007712517,0.00097451394,0.0018292275],"category_scores_gemma":[0.0016939,0.00036999825,0.00078002067,0.00034151864,0.00055975764,0.0010672809,0.0003040252,0.0008687128,0.0007494557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018244774,0.00006964062,0.00082341855,0.00009102135,0.00006106922,0.00011695612,0.00012133685,0.84783006,0.036816675,0.021271301,0.0009085951,0.091707446],"study_design_scores_gemma":[0.0000050762465,0.000019514659,0.00013472476,0.0000046769164,0.000007195136,0.000025381232,0.0000063062766,0.9909315,0.0065655974,0.0014827917,0.0008104156,0.0000068585196],"about_ca_topic_score_codex":0.0053309184,"about_ca_topic_score_gemma":0.0048747794,"teacher_disagreement_score":0.0053309184,"about_ca_system_score_codex":0.0010554121,"about_ca_system_score_gemma":0.0010610321,"threshold_uncertainty_score":0.010599792},"labels":[],"label_agreement":null},{"id":"W2030218354","doi":"10.1080/10241230215282","title":"Systems approach to modeling the Token Bucket algorithm incomputer networks","year":2002,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dimensioning; Computer science; Token bucket; Quality of service; Security token; Multiplexer; Leaky bucket; Computer network; Construct (python library); Algorithm; Multiplexing; Node (physics); Traffic policing; Real-time computing; Distributed computing; Traffic shaping; Network traffic control; Engineering; Network packet","score_opus":0.017409177408571317,"score_gpt":0.1834947560871378,"score_spread":0.1660855786785665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030218354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00478391,0.00041545852,0.9893751,0.00034725244,0.00009586333,0.00004050648,0.00008049316,0.0001366094,0.0047247526],"genre_scores_gemma":[0.59456235,0.0028540078,0.38187277,0.00034054127,0.00043768773,0.0006817275,0.0004406217,0.00013824803,0.018672122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901175,0.00032893568,0.00005493272,0.00018229033,0.00030367804,0.00011836117],"domain_scores_gemma":[0.99929714,0.0003425484,0.00008662706,0.00008435203,0.00014928184,0.000040118008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009545366,0.0009808985,0.0006601363,0.0006731841,0.0006478605,0.0019966767,0.0023957232,0.0018959119,0.004825511],"category_scores_gemma":[0.0020298788,0.00042427468,0.0006877797,0.0008975968,0.001301504,0.003007504,0.0011336387,0.0019679011,0.00080756017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003062365,0.00004734994,0.00029612062,0.000075017466,0.000025380758,0.00009957031,0.000111076486,0.46973917,0.001726237,0.5160023,0.0008761365,0.010970889],"study_design_scores_gemma":[0.000013956462,0.000025147856,0.000046763744,0.000010362209,0.000010085033,0.000028791297,0.000019063418,0.91530174,0.0006276971,0.078175,0.005730882,0.000010448102],"about_ca_topic_score_codex":0.004101857,"about_ca_topic_score_gemma":0.0023815178,"teacher_disagreement_score":0.004825511,"about_ca_system_score_codex":0.0019960694,"about_ca_system_score_gemma":0.0012339031,"threshold_uncertainty_score":0.016142905},"labels":[],"label_agreement":null},{"id":"W2032058157","doi":"10.1155/2015/468567","title":"On the Cryptanalysis of Two Cryptographic Algorithms That Utilize Chaotic Neural Networks","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hash function; Computer science; Plaintext; Algorithm; MDC-2; Ciphertext; Cryptanalysis; Theoretical computer science; Encryption; Cryptographic hash function; Block cipher; Cryptography; Cipher; Double hashing; Computer network; Computer security","score_opus":0.03909510824172906,"score_gpt":0.24473771345538003,"score_spread":0.20564260521365096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032058157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19427165,0.0015391124,0.77565426,0.0016149015,0.0003135141,0.0002132045,0.00008459639,0.00027205245,0.02603675],"genre_scores_gemma":[0.8751055,0.0012588454,0.1177777,0.00020114038,0.00010221986,0.00008845936,0.000070598086,0.000039991795,0.00535566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865144,0.0003136469,0.00006522761,0.000109701934,0.0006897452,0.00017022497],"domain_scores_gemma":[0.99785197,0.0013250374,0.00023933657,0.0003187588,0.00023266068,0.000032247117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014084136,0.00056956004,0.00046729104,0.00088078796,0.000544542,0.000981127,0.0005044167,0.00079769245,0.0015030632],"category_scores_gemma":[0.0057050604,0.00022388334,0.0004833752,0.0006567486,0.0021171325,0.0025667483,0.0011404277,0.0011586987,0.00030918908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005438496,0.00008827433,0.0017092162,0.00023408968,0.00010824274,0.00039515164,0.0002227902,0.17206793,0.026696239,0.71300256,0.0015133546,0.08341818],"study_design_scores_gemma":[0.000070466245,0.00024893697,0.0006878938,0.00007548694,0.000036308425,0.00068615715,0.000090225745,0.7993941,0.045059267,0.14683901,0.0067543583,0.000057810154],"about_ca_topic_score_codex":0.00049902225,"about_ca_topic_score_gemma":0.0004013383,"teacher_disagreement_score":0.0015030632,"about_ca_system_score_codex":0.001090498,"about_ca_system_score_gemma":0.0009692323,"threshold_uncertainty_score":0.007912159},"labels":[],"label_agreement":null},{"id":"W2033620553","doi":"10.1155/2015/783640","title":"An Improved Gyrocompass Alignment Method for Large Azimuth Misalignment","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Harbin Engineering University; National Natural Science Foundation of China; National Science Foundation","keywords":"Azimuth; Nonlinear system; Control theory (sociology); Computer science; Optics; Physics; Artificial intelligence","score_opus":0.018852678591887204,"score_gpt":0.2724587673157467,"score_spread":0.2536060887238595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033620553","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011487155,0.000182932,0.9865009,0.000038409886,0.00005335849,0.000018951021,0.000010805599,0.000316697,0.0013908494],"genre_scores_gemma":[0.30267745,0.00044725146,0.69041467,0.000057785128,0.00007867678,0.000071458686,0.00007741573,0.00009163723,0.006083586],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996141,0.00006249473,0.000020802958,0.000079553254,0.0001938891,0.00002901506],"domain_scores_gemma":[0.9997918,0.000035698067,0.00003201297,0.000052854106,0.00007190805,0.000015764634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027605944,0.00044948896,0.00047819284,0.0002651117,0.0003847204,0.000420571,0.0006701116,0.000439015,0.001863794],"category_scores_gemma":[0.00047629248,0.00027231994,0.00045005535,0.00037530297,0.00028459498,0.0010628358,0.00049583265,0.0007047451,0.0006790888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024704283,0.000103024315,0.0019162614,0.0002948544,0.000103420345,0.00033003328,0.00041804076,0.10207197,0.310554,0.032504104,0.003269624,0.5481876],"study_design_scores_gemma":[0.000039917668,0.00017058627,0.0007247224,0.000010966519,0.00003745522,0.0004639214,0.000040978244,0.92063826,0.06287123,0.0024006858,0.012555498,0.000045724562],"about_ca_topic_score_codex":0.0018719353,"about_ca_topic_score_gemma":0.0016836318,"teacher_disagreement_score":0.0018719353,"about_ca_system_score_codex":0.00026455472,"about_ca_system_score_gemma":0.00069602695,"threshold_uncertainty_score":0.006235063},"labels":[],"label_agreement":null},{"id":"W2033947442","doi":"10.1155/2012/506709","title":"PV Maximum Power‐Point Tracking by Using Artificial Neural Network","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Artificial neural network; Tracking (education); Maximum power point tracking; Power point; Power (physics); Point (geometry); Control theory (sociology); Computer science; Artificial intelligence; Mathematics; Physics; Psychology; Control (management); Geometry","score_opus":0.024584950859044327,"score_gpt":0.24234311179614554,"score_spread":0.2177581609371012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033947442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037835687,0.00054934225,0.9545784,0.00015183723,0.00007153689,0.00002222018,0.000026550384,0.0009779468,0.0057865144],"genre_scores_gemma":[0.88728935,0.0004161908,0.107559696,0.00007490931,0.00004406039,0.000060688748,0.00006218034,0.000057422905,0.0044355174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983144,0.00004163086,0.000010056929,0.00003813019,0.00006358085,0.000015202564],"domain_scores_gemma":[0.9997887,0.00008411792,0.000033924793,0.000016847089,0.000071137605,0.000005191325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036884728,0.0003301546,0.0003321461,0.00036716735,0.00022678547,0.00045851737,0.00041888692,0.00054022705,0.00070528593],"category_scores_gemma":[0.0007951894,0.00024582705,0.0002445868,0.00050953444,0.0001451587,0.0006462439,0.00023529436,0.00041331924,0.0002575343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016186261,0.000069304704,0.0014596506,0.00013112123,0.00006513524,0.000102632024,0.00006686443,0.6198415,0.022482838,0.0027648378,0.001243074,0.35161114],"study_design_scores_gemma":[0.000004295187,0.000016734954,0.0002793908,0.000006717159,0.000006313323,0.000014921839,0.0000025754623,0.9956689,0.0029157093,0.000573279,0.00050609576,0.000004995231],"about_ca_topic_score_codex":0.0018762042,"about_ca_topic_score_gemma":0.002024336,"teacher_disagreement_score":0.0018762042,"about_ca_system_score_codex":0.00034174827,"about_ca_system_score_gemma":0.00019818003,"threshold_uncertainty_score":0.0037305355},"labels":[],"label_agreement":null},{"id":"W2035698914","doi":"10.1155/2014/370382","title":"On Delay‐Fractional‐Dependent Stability Criteria for Takagi‐Sugeno Fuzzy Systems with Interval Delay","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Science and Technology Program of Hunan Province; China Scholarship Council; National Natural Science Foundation of China","keywords":"Mathematics; Bounding overwatch; Stability (learning theory); Interval (graph theory); Control theory (sociology); Upper and lower bounds; Fuzzy logic; Stability conditions; Variable (mathematics); Stability criterion; Scalar (mathematics); Fuzzy control system; Applied mathematics; Computer science; Mathematical analysis; Discrete time and continuous time; Statistics; Control (management)","score_opus":0.017921351750198773,"score_gpt":0.2280534655038712,"score_spread":0.21013211375367244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035698914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027562395,0.00059553364,0.96733797,0.0000885762,0.000045925342,0.00004591361,0.000043645345,0.0000621092,0.0042179795],"genre_scores_gemma":[0.9423309,0.000816188,0.05433658,0.000035164536,0.000056901044,0.00015480856,0.000097635966,0.000036328976,0.002135425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993824,0.0001362621,0.000042137457,0.00013698601,0.00024991264,0.00005223886],"domain_scores_gemma":[0.9984047,0.00095452537,0.00016201826,0.000045628927,0.00039319426,0.0000399202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012261476,0.0011717593,0.0005655255,0.000671964,0.0005497112,0.0014039042,0.00065734755,0.0006502353,0.0016923943],"category_scores_gemma":[0.0029155116,0.00027168405,0.0006318029,0.00050579634,0.0008359266,0.00094808365,0.00067936914,0.0009817386,0.00020576437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023393285,0.000054321208,0.0006254292,0.0005502969,0.00006138809,0.00031988582,0.00045657516,0.8388279,0.027768677,0.088516206,0.00083322165,0.041752156],"study_design_scores_gemma":[0.000012920495,0.00008593925,0.00018390144,0.000024285933,0.000013833433,0.000030046174,0.000031235453,0.9819816,0.0038322783,0.012950176,0.000839167,0.000014739718],"about_ca_topic_score_codex":0.0020246904,"about_ca_topic_score_gemma":0.0012391796,"teacher_disagreement_score":0.0020246904,"about_ca_system_score_codex":0.0010699232,"about_ca_system_score_gemma":0.00082344376,"threshold_uncertainty_score":0.0077628493},"labels":[],"label_agreement":null},{"id":"W2036805960","doi":"10.1155/2014/357864","title":"Adaptive PI‐Based Sliding Mode Control for Nanopositioning of Piezoelectric Actuators","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Key Scientific Instrument and Equipment Development Projects of China","keywords":"Control theory (sociology); Sliding mode control; PID controller; Actuator; Controller (irrigation); Convergence (economics); Adaptive control; Nonlinear system; Lyapunov stability; Lyapunov function; Tracking error; Stability (learning theory); Control engineering; Engineering; Computer science; Control (management); Temperature control; Physics; Artificial intelligence","score_opus":0.005979025671836746,"score_gpt":0.1929335363205657,"score_spread":0.18695451064872895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036805960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015090829,0.0004662065,0.9823744,0.000040565163,0.00007072801,0.000024635852,0.000007524941,0.00021125998,0.00171385],"genre_scores_gemma":[0.889791,0.0007073069,0.106091775,0.0000616691,0.00005512169,0.000146423,0.00003725408,0.00002380703,0.0030855665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997528,0.00003867011,0.00001901587,0.00006756115,0.00010517151,0.00001682144],"domain_scores_gemma":[0.9998375,0.00006086383,0.000028909228,0.000016113841,0.00005016023,0.000006329582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032335139,0.00039317337,0.00033231016,0.00020775589,0.00022912562,0.000323492,0.00074339536,0.00035928935,0.00066305563],"category_scores_gemma":[0.00057933864,0.00021255757,0.00035028043,0.00019131799,0.00034427093,0.00040339137,0.00033953818,0.00043047336,0.00013629576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037522355,0.00011140097,0.0011699939,0.0006218521,0.00014287146,0.00032254498,0.00032178315,0.42202073,0.18476164,0.019061908,0.0012777502,0.36981228],"study_design_scores_gemma":[0.000019993993,0.00020960072,0.00032837118,0.000008596628,0.000020841422,0.000058698737,0.000009022283,0.9841813,0.012087109,0.000925775,0.0021400487,0.000010646462],"about_ca_topic_score_codex":0.00093542144,"about_ca_topic_score_gemma":0.0007237183,"teacher_disagreement_score":0.00093542144,"about_ca_system_score_codex":0.00019366357,"about_ca_system_score_gemma":0.00024914983,"threshold_uncertainty_score":0.0022180676},"labels":[],"label_agreement":null},{"id":"W2037429848","doi":"10.1080/1024123021000061944","title":"Survival maximization for a Laguerre population","year":2002,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laguerre polynomials; Maximization; Mathematics; Constant (computer programming); Combinatorics; Population; Sensitivity (control systems); Value (mathematics); Diffusion; Applied mathematics; Statistics; Mathematical optimization; Physics; Mathematical analysis; Computer science; Thermodynamics; Demography; Engineering","score_opus":0.04188804813662942,"score_gpt":0.26278124818946536,"score_spread":0.22089320005283594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037429848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34556395,0.0025188068,0.6330095,0.0033953534,0.00012574399,0.000090726564,0.00037505367,0.00026240738,0.014658461],"genre_scores_gemma":[0.9346195,0.0015539407,0.03375414,0.00043750307,0.00017927011,0.00020619524,0.00042222862,0.000096678545,0.028730651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937326,0.00028276103,0.000026018837,0.00012159371,0.00006436249,0.0001321434],"domain_scores_gemma":[0.99706215,0.0020519777,0.0003285023,0.00008430428,0.00024610633,0.00022682389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029164406,0.0010366036,0.0015243095,0.0008699122,0.0005611281,0.0014956375,0.0013180715,0.0021992067,0.0034724441],"category_scores_gemma":[0.006636629,0.0004518063,0.0009002343,0.0006191747,0.0016671799,0.0013908419,0.0011063062,0.0010945325,0.00055551704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010463556,0.00004223738,0.0015899078,0.00012127755,0.00008467418,0.00018931484,0.00026079617,0.8081572,0.0018540007,0.17992604,0.0014881644,0.0061816587],"study_design_scores_gemma":[0.00001688383,0.000038204686,0.00033373715,0.000011721382,0.000016406575,0.000029565284,0.00003086977,0.9699265,0.0001471934,0.0290025,0.00043034577,0.000016155944],"about_ca_topic_score_codex":0.0058974866,"about_ca_topic_score_gemma":0.0024563498,"teacher_disagreement_score":0.0058974866,"about_ca_system_score_codex":0.002078268,"about_ca_system_score_gemma":0.0009993208,"threshold_uncertainty_score":0.015423775},"labels":[],"label_agreement":null},{"id":"W2039824825","doi":"10.1155/2014/301595","title":"Control, Analysis, and Modeling of Vehicular Systems","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control (management); Computer science; Artificial intelligence","score_opus":0.008030106400988427,"score_gpt":0.19390681578205227,"score_spread":0.18587670938106385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039824825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020920768,0.0040045157,0.95765984,0.0006125632,0.0002112405,0.000068886846,0.00036247564,0.00031584044,0.015843907],"genre_scores_gemma":[0.9587993,0.003609566,0.025658678,0.000078015706,0.0002602166,0.00023662437,0.0005709327,0.00007045779,0.010716051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996358,0.00009737469,0.000018595827,0.0000767169,0.00011707461,0.000054447297],"domain_scores_gemma":[0.99972755,0.0001060395,0.000049734183,0.00002245384,0.00008198224,0.000012303536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004241586,0.0009271023,0.0009516979,0.000568726,0.00043648313,0.0015340027,0.00089127576,0.00082856655,0.0014886715],"category_scores_gemma":[0.0011126524,0.000296982,0.00056082435,0.0007690111,0.00050210813,0.00063761923,0.0008721976,0.0008320109,0.0004206594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013535951,0.000010635358,0.000239219,0.000042144846,0.000015936415,0.00003153783,0.00002498181,0.97590387,0.0006175494,0.013909002,0.00049812987,0.008693412],"study_design_scores_gemma":[0.0000020285208,0.00000858123,0.00012528454,0.0000049216515,0.00000351643,0.0000061970823,0.0000056883623,0.9946996,0.00010528155,0.00408016,0.00095506944,0.000003655435],"about_ca_topic_score_codex":0.02195977,"about_ca_topic_score_gemma":0.01000517,"teacher_disagreement_score":0.02195977,"about_ca_system_score_codex":0.0008010444,"about_ca_system_score_gemma":0.0011697571,"threshold_uncertainty_score":0.04366392},"labels":[],"label_agreement":null},{"id":"W2039907676","doi":"10.1155/2012/985930","title":"Time Series Adaptive Online Prediction Method Combined with Modified LS‐SVR and AGO","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Chinese Aeronautical Establishment; National Natural Science Foundation of China; University of Alberta","keywords":"Series (stratigraphy); Computer science; Process (computing); Time series; Scheme (mathematics); Data mining; Inverse; Artificial intelligence; Machine learning; Quality (philosophy); Algorithm; Mathematics","score_opus":0.010549537091389501,"score_gpt":0.20669926613611558,"score_spread":0.19614972904472608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039907676","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029105362,0.0001640048,0.9688252,0.000114337,0.000068519126,0.000027088769,0.00003283385,0.000772723,0.000889966],"genre_scores_gemma":[0.780116,0.00025918518,0.21495365,0.000085788284,0.00010197438,0.000116195464,0.00021423021,0.00012419037,0.0040287385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995702,0.000110330424,0.00003144075,0.000101966485,0.00015320814,0.000032835316],"domain_scores_gemma":[0.99936444,0.00028029064,0.000078102545,0.00006389712,0.000184591,0.000028749482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009206671,0.00062527304,0.00089830393,0.000572516,0.00023925099,0.00058296474,0.0011587081,0.0007189956,0.0011981067],"category_scores_gemma":[0.0019797233,0.00035704736,0.00067547,0.0005502166,0.00029878254,0.001203635,0.00053533615,0.0009836054,0.00024604512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022606668,0.0001418162,0.0021130915,0.0001263115,0.000117204014,0.0001549562,0.00010278163,0.7360143,0.014083525,0.005830909,0.001665736,0.23942335],"study_design_scores_gemma":[0.0000026618416,0.000013187172,0.00009961014,9.565473e-7,0.0000028873244,0.000009275239,0.0000010583349,0.9990108,0.0005437341,0.00019976945,0.000112927344,0.0000031299733],"about_ca_topic_score_codex":0.0045989947,"about_ca_topic_score_gemma":0.003133684,"teacher_disagreement_score":0.0045989947,"about_ca_system_score_codex":0.00030571598,"about_ca_system_score_gemma":0.00062620256,"threshold_uncertainty_score":0.009144485},"labels":[],"label_agreement":null},{"id":"W2042119543","doi":"10.1080/10241230212910","title":"Linear discrete‐time systems with Markovian jumps and modedependent time‐delay: Stability and stabilizability","year":2002,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Discrete time and continuous time; Stability (learning theory); Mathematics; Linear matrix inequality; Control theory (sociology); Class (philosophy); Mode (computer interface); Applied mathematics; Control (management); Computer science; Mathematical optimization; Statistics","score_opus":0.010782749243319118,"score_gpt":0.17369247426098122,"score_spread":0.1629097250176621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042119543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12676458,0.0013128148,0.864008,0.0006569541,0.000082308296,0.000052857155,0.00010325762,0.00033868398,0.0066804904],"genre_scores_gemma":[0.990218,0.00047638253,0.007466399,0.000039062987,0.00005016342,0.000044711815,0.000045504836,0.000010461632,0.00164929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99960285,0.00006740803,0.000018360459,0.00008182557,0.000183941,0.000045648456],"domain_scores_gemma":[0.9991555,0.00046499347,0.0002136173,0.00003167728,0.000111948975,0.000022233804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044235025,0.0004905082,0.00042044814,0.00025051855,0.00032090652,0.0007830089,0.0005160371,0.0006420066,0.0008974787],"category_scores_gemma":[0.0018656914,0.00023770191,0.00030861923,0.0004388932,0.0007449885,0.0005998219,0.0007811617,0.000766543,0.00014843342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025682856,0.00006115492,0.0012059243,0.00030320906,0.00008211451,0.00052816264,0.00026158083,0.8528892,0.03144055,0.07540741,0.00074626,0.036817655],"study_design_scores_gemma":[0.000019080957,0.000063960186,0.00044497798,0.0000083380155,0.000018915269,0.000060689028,0.00001764276,0.9834358,0.0027997391,0.01251191,0.00060767325,0.000011283303],"about_ca_topic_score_codex":0.0031981359,"about_ca_topic_score_gemma":0.0021417944,"teacher_disagreement_score":0.0031981359,"about_ca_system_score_codex":0.00048527837,"about_ca_system_score_gemma":0.0005425763,"threshold_uncertainty_score":0.0063590407},"labels":[],"label_agreement":null},{"id":"W2042598815","doi":"10.1155/2013/726721","title":"Fractional Resonance-Based<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:msub><mml:mi>RL</mml:mi><mml:mi>β</mml:mi></mml:msub><mml:msub><mml:mi>C</mml:mi><mml:mi>α</mml:mi></mml:msub></mml:math>Filters","year":2013,"lang":"lv","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Innovates - Technology Futures; Ministry of Advanced Education, Government of Alberta","keywords":"Algorithm; Artificial intelligence; Computer science","score_opus":0.01580783625095106,"score_gpt":0.2210780147476067,"score_spread":0.20527017849665563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042598815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014423744,0.00093676854,0.9115214,0.0012140827,0.00075260876,0.00013397113,0.000391165,0.009496707,0.06112955],"genre_scores_gemma":[0.3737057,0.00086161355,0.5437149,0.0012471329,0.00032086545,0.00013246264,0.00094702456,0.00094711664,0.078123204],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993362,0.00009189981,0.000037470527,0.00015046199,0.0002955459,0.00008838812],"domain_scores_gemma":[0.9992642,0.00013141667,0.000059209568,0.00025216615,0.000253597,0.000039401024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005792787,0.00087042135,0.00051503663,0.00087787217,0.0010772655,0.0024440982,0.0021384454,0.0015948246,0.01764919],"category_scores_gemma":[0.0013366389,0.0003470628,0.00083134166,0.00079818437,0.00066782633,0.0020784352,0.0006378213,0.0010598424,0.0094294865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010255895,0.00039830813,0.00094854645,0.0005150932,0.00014039225,0.00060925423,0.00046935922,0.03177824,0.30534598,0.14431386,0.041768663,0.4726868],"study_design_scores_gemma":[0.00016393396,0.00047583028,0.0009858116,0.0001239243,0.00023206619,0.0013132872,0.00017939888,0.25341618,0.3266413,0.042174045,0.37407687,0.00021736122],"about_ca_topic_score_codex":0.004963691,"about_ca_topic_score_gemma":0.007669565,"teacher_disagreement_score":0.01764919,"about_ca_system_score_codex":0.0019060983,"about_ca_system_score_gemma":0.0011027099,"threshold_uncertainty_score":0.059042454},"labels":[],"label_agreement":null},{"id":"W2045162452","doi":"10.1155/2015/280940","title":"Reliability-Based Robust Design Optimization of Structures Considering Uncertainty in Design Variables","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sobol sequence; Robustness (evolution); Weighting; Reliability (semiconductor); Mathematical optimization; Sensitivity (control systems); Variance (accounting); Engineering design process; Reliability engineering; Computer science; Engineering; Mathematics","score_opus":0.14073431811240197,"score_gpt":0.29649670705087877,"score_spread":0.1557623889384768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045162452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065440703,0.00022721806,0.9916338,0.000044252778,0.000008800425,0.000014695975,0.000015987845,0.00006515087,0.0014460307],"genre_scores_gemma":[0.7734598,0.000806098,0.2223296,0.00007428683,0.000055538967,0.00030475,0.00014811747,0.00012988265,0.002691937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992021,0.00032691436,0.000025057852,0.00013751742,0.00024607277,0.00006246778],"domain_scores_gemma":[0.9989197,0.0007541064,0.00012473772,0.00005378857,0.00013233218,0.00001530345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016041961,0.0013375933,0.0012539721,0.00087734876,0.00027288028,0.0008183479,0.0006922332,0.0009030737,0.001120166],"category_scores_gemma":[0.0030422283,0.00059610145,0.0009906791,0.0005572296,0.0007942636,0.0006555011,0.0008257232,0.0007428748,0.0002552263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019410145,0.0000071168533,0.00009251545,0.00006235622,0.000021328286,0.000024535508,0.000019067858,0.9797157,0.0023811448,0.006050436,0.00009523362,0.011511077],"study_design_scores_gemma":[0.0000032072562,0.000027665119,0.00005605337,0.0000054026145,0.000007901042,0.000010214348,0.000003196282,0.99557364,0.0008377574,0.0031822019,0.00028883413,0.000003957548],"about_ca_topic_score_codex":0.0012123568,"about_ca_topic_score_gemma":0.00080512173,"teacher_disagreement_score":0.0016041961,"about_ca_system_score_codex":0.0006108767,"about_ca_system_score_gemma":0.0009783431,"threshold_uncertainty_score":0.008483946},"labels":[],"label_agreement":null},{"id":"W2045638017","doi":"10.1155/s1024123x04403019","title":"Access control for MPEG video applications using neural network and simulated annealing","year":2004,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial neural network; Multiplexer; Simulated annealing; Security token; Real-time computing; Nonlinear system; Computer network; Artificial intelligence; Algorithm; Multiplexing; Telecommunications","score_opus":0.018985487631870194,"score_gpt":0.25417852202206676,"score_spread":0.23519303439019656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045638017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15924941,0.0007096933,0.831035,0.0006509498,0.00006643937,0.00012198366,0.00004912551,0.0003705563,0.007746814],"genre_scores_gemma":[0.96082854,0.00023598367,0.03558644,0.000058070967,0.000022642605,0.00014217332,0.00003513845,0.000023423043,0.003067465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997428,0.00009479529,0.000011587305,0.000044408178,0.00006321397,0.000043211745],"domain_scores_gemma":[0.9994048,0.0003881798,0.00007096877,0.000027078055,0.00008076246,0.000028183264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006270025,0.0005980138,0.00067423936,0.00037232804,0.00043803325,0.0007075436,0.00081101886,0.0009233645,0.0014371962],"category_scores_gemma":[0.0019326628,0.00042842832,0.0005682942,0.0003177665,0.0009472778,0.00082558434,0.0005993567,0.0007566484,0.00010077213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001935783,0.0000120129835,0.000110846835,0.000010361688,0.000007912001,0.000009160243,0.000011255575,0.9940257,0.00042814136,0.0026993474,0.00006943473,0.002596317],"study_design_scores_gemma":[0.0000029570172,0.0000061313544,0.000023399194,7.6329417e-7,0.0000015146267,0.0000011794203,0.0000010134528,0.99912065,0.00009760661,0.0007089431,0.000034760982,0.00000100898],"about_ca_topic_score_codex":0.011115506,"about_ca_topic_score_gemma":0.0069508087,"teacher_disagreement_score":0.011115506,"about_ca_system_score_codex":0.0016111158,"about_ca_system_score_gemma":0.0008171012,"threshold_uncertainty_score":0.022101581},"labels":[],"label_agreement":null},{"id":"W2046887762","doi":"10.1155/2015/181653","title":"Pricing Analysis in Geo/Geo/1 Queueing System","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; Hunan Provincial Innovation Foundation for Postgraduate; Simon Fraser University; National Natural Science Foundation of China","keywords":"Toll; Server; Queueing theory; Payment; Queueing system; Profit (economics); Computer science; Queue; Scheme (mathematics); Operations research; Computer network; Mathematical optimization; Microeconomics; Economics; Mathematics","score_opus":0.015133759335949099,"score_gpt":0.2125324678819696,"score_spread":0.1973987085460205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046887762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4592735,0.001944816,0.5144659,0.0020680611,0.00023253213,0.0001488737,0.00025979307,0.00027673968,0.021329708],"genre_scores_gemma":[0.991265,0.0003332457,0.005497076,0.00008252068,0.0000712281,0.00002530698,0.00003963889,0.000019403738,0.002666433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983145,0.0005613705,0.00005025022,0.00023337177,0.00033555782,0.0005049431],"domain_scores_gemma":[0.99813473,0.0008965802,0.0003204795,0.0000757505,0.00041356042,0.00015889051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873786,0.00077116786,0.0009928042,0.0010073967,0.001153392,0.0019539283,0.0014921246,0.001198343,0.00394465],"category_scores_gemma":[0.0041736183,0.00043675097,0.00064840046,0.0009079407,0.0013341607,0.0022892882,0.0011035117,0.00097011705,0.0002919824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011898576,0.00009846595,0.002882882,0.00008012979,0.000048073995,0.0005103229,0.00023964394,0.78246576,0.0040664435,0.20062174,0.0021455572,0.0067220195],"study_design_scores_gemma":[0.000005017368,0.000013180523,0.00025207025,0.0000021391559,0.0000065158833,0.000030401607,0.00004061548,0.9894694,0.00011356454,0.009880096,0.0001789735,0.000008058774],"about_ca_topic_score_codex":0.013963718,"about_ca_topic_score_gemma":0.005266153,"teacher_disagreement_score":0.013963718,"about_ca_system_score_codex":0.002835114,"about_ca_system_score_gemma":0.001521402,"threshold_uncertainty_score":0.027764916},"labels":[],"label_agreement":null},{"id":"W2047802804","doi":"10.1155/2014/130804","title":"Performance Tuning of Coordinated Active Traffic Control Algorithm: Simultaneously Improving Corridor Safety and Mobility Performances","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Algorithm; Control (management); Model predictive control; Metering mode; Computer science; Traffic flow (computer networking); Speed limit; Engineering; Transport engineering; Computer network; Artificial intelligence","score_opus":0.0033682647957106963,"score_gpt":0.16657109541758666,"score_spread":0.16320283062187596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047802804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3804166,0.00034964056,0.6113632,0.00015544714,0.000060069255,0.000087881,0.00006730999,0.0009519995,0.0065477407],"genre_scores_gemma":[0.98796767,0.000022083947,0.011701742,0.000011924479,0.000005679009,0.000028698976,0.000026681519,0.000008030414,0.00022755378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971205,0.000053428823,0.000013320201,0.00009173906,0.000072743685,0.000056674733],"domain_scores_gemma":[0.9994167,0.00019152659,0.00012387108,0.000060806542,0.0001624041,0.000044721102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005228327,0.0006684567,0.00055057515,0.00042894197,0.00032270528,0.0007686232,0.000630683,0.00048503722,0.00054935925],"category_scores_gemma":[0.0014994121,0.00014991901,0.00020295213,0.00024543126,0.00030406463,0.00038977453,0.00044629534,0.0003916443,0.00012191727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018445103,0.0001564799,0.0020840073,0.000049910683,0.000035011282,0.000039841627,0.00004455859,0.92469525,0.012111484,0.0013517962,0.00045453053,0.0587926],"study_design_scores_gemma":[0.000017813376,0.00009843529,0.00067872694,0.0000028367983,0.000007403488,0.000012266971,0.000008351453,0.99634016,0.002453241,0.00020008997,0.00017582194,0.00000483983],"about_ca_topic_score_codex":0.0053761113,"about_ca_topic_score_gemma":0.0032883813,"teacher_disagreement_score":0.0053761113,"about_ca_system_score_codex":0.000517823,"about_ca_system_score_gemma":0.0012806547,"threshold_uncertainty_score":0.010689616},"labels":[],"label_agreement":null},{"id":"W2048387430","doi":"10.1155/s1024123x04110016","title":"New filtering technique for the impulsive noise reduction in color images","year":2004,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Median filter; Noise reduction; Reduction (mathematics); Noise (video); Impulse noise; Filter (signal processing); Artificial intelligence; Pixel; Image (mathematics); Computer vision; Salt-and-pepper noise; Algorithm; Computer science; Mathematics; Image noise; Value noise; Pattern recognition (psychology); Image processing","score_opus":0.015519101944365421,"score_gpt":0.26109579134725364,"score_spread":0.2455766894028882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048387430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003803587,0.00035251398,0.9951363,0.000056544544,0.00006574826,0.000016108233,0.0000126263985,0.00014085129,0.00041578544],"genre_scores_gemma":[0.05704874,0.00088744174,0.93851423,0.00011446637,0.00017786273,0.00006676305,0.00007499818,0.000066331246,0.003049258],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959415,0.000039493647,0.00002200189,0.00007605017,0.00024512215,0.000023165165],"domain_scores_gemma":[0.99970144,0.00008710673,0.00004200216,0.000045130724,0.00010514966,0.000019217652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005357997,0.0005594496,0.000745464,0.0010283211,0.00035334728,0.000671576,0.0008904745,0.0010195698,0.0013593024],"category_scores_gemma":[0.00089581835,0.00032164622,0.0008051916,0.00090258685,0.00059026835,0.0011020314,0.0005790631,0.0010003013,0.0005230448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001821065,0.000105133826,0.00052182964,0.00045046906,0.00018296731,0.00022721625,0.00019854683,0.029319452,0.36354315,0.0338471,0.0030025,0.5684195],"study_design_scores_gemma":[0.00007806163,0.00036134082,0.0015765447,0.00004814469,0.0002007742,0.0015349494,0.00006375606,0.7518508,0.19377358,0.018623497,0.031783897,0.00010470835],"about_ca_topic_score_codex":0.0006063819,"about_ca_topic_score_gemma":0.0009729555,"teacher_disagreement_score":0.0013593024,"about_ca_system_score_codex":0.00036655567,"about_ca_system_score_gemma":0.00040608484,"threshold_uncertainty_score":0.0045473576},"labels":[],"label_agreement":null},{"id":"W2050210825","doi":"10.1155/2013/325121","title":"A New Neumann Series Method for Solving a Family of Local Fractional Fredholm and Volterra Integral Equations","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Neumann series; Integral equation; Operator (biology); Series (stratigraphy); Fredholm integral equation; Fredholm theory; Fractional calculus; Fredholm determinant; Volterra integral equation; Mathematical analysis; Integral transform; Applied mathematics","score_opus":0.04485353486249995,"score_gpt":0.30267461413857705,"score_spread":0.2578210792760771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050210825","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010943008,0.00034036124,0.9835994,0.0001107858,0.00014913418,0.00004294151,0.000014968967,0.000050515064,0.0047487454],"genre_scores_gemma":[0.2258871,0.001102357,0.75900304,0.00016237138,0.00020036043,0.00038235413,0.00007754446,0.00011631859,0.013068538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997657,0.00008539801,0.000011706576,0.000031175587,0.00009079265,0.00001528008],"domain_scores_gemma":[0.9998603,0.000050890692,0.000009613758,0.000014272259,0.000045182514,0.000019660156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007801876,0.00055464136,0.00074620993,0.0007302138,0.0006164264,0.00048706768,0.001028497,0.0007357523,0.0016226048],"category_scores_gemma":[0.0009512628,0.00025145372,0.00080029026,0.0004998199,0.00082751556,0.0013185134,0.0010297872,0.0011531294,0.00038647326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096110256,0.00016112886,0.00085786195,0.0004484411,0.00009478801,0.0004068761,0.00044947918,0.19415843,0.051178526,0.5905043,0.0029625269,0.15868153],"study_design_scores_gemma":[0.000022872186,0.00007978375,0.000088908324,0.000023172006,0.000019671379,0.00019304382,0.00003939737,0.9320527,0.003714392,0.05757346,0.006166545,0.000026031927],"about_ca_topic_score_codex":0.0007777094,"about_ca_topic_score_gemma":0.0009871982,"teacher_disagreement_score":0.0016226048,"about_ca_system_score_codex":0.0003848251,"about_ca_system_score_gemma":0.00066651584,"threshold_uncertainty_score":0.005428195},"labels":[],"label_agreement":null},{"id":"W2050712230","doi":"10.1155/s1024123x03204014","title":"Robust dissipativity for uncertain impulsive dynamical systems","year":2003,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Dynamical systems theory; Control theory (sociology); Quadratic equation; Mathematics; Linear dynamical system; Robust control; Applied mathematics; Computer science; Linear system; Mathematical analysis; Nonlinear system; Physics; Control (management); Artificial intelligence; Geometry","score_opus":0.022123033361919803,"score_gpt":0.21782216651719846,"score_spread":0.19569913315527865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050712230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0539835,0.00092761277,0.93240625,0.00043572776,0.0000916078,0.000023675222,0.0000771265,0.00012702483,0.011927555],"genre_scores_gemma":[0.9815217,0.00090591307,0.01177435,0.00008206928,0.00011752676,0.00005886914,0.000081902115,0.000026598904,0.005431059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995022,0.0000992865,0.00003481789,0.00008881763,0.00022195802,0.000052947194],"domain_scores_gemma":[0.9991794,0.00035325607,0.00024236852,0.000056835168,0.00013594526,0.000032134296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009791557,0.00058937084,0.0005628676,0.00053182995,0.00026018993,0.0011699508,0.0006582676,0.0005622805,0.0016486077],"category_scores_gemma":[0.0023402204,0.00023675509,0.00051091274,0.00040781175,0.0010876185,0.0010299545,0.0010047092,0.0006501021,0.00017537261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008636288,0.00003234941,0.0003381679,0.0002714668,0.00009448669,0.0004217238,0.0002492008,0.52885,0.01914996,0.43314606,0.0008721402,0.016488094],"study_design_scores_gemma":[0.000009164607,0.000056853867,0.00027963033,0.000012019108,0.000017885428,0.00006423823,0.000027081038,0.926665,0.002000366,0.069552295,0.0012985573,0.000016936507],"about_ca_topic_score_codex":0.0009636029,"about_ca_topic_score_gemma":0.00046651333,"teacher_disagreement_score":0.0016486077,"about_ca_system_score_codex":0.0006512552,"about_ca_system_score_gemma":0.00037654958,"threshold_uncertainty_score":0.005515158},"labels":[],"label_agreement":null},{"id":"W2053023753","doi":"10.1155/2014/317979","title":"Efficient LED‐SAC Sparse Estimator Using Fast Sequential Adaptive Coordinate‐Wise Optimization (LED‐2SAC)","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Estimator; Computer science; Algorithm; Mathematics; Mathematical optimization; Control theory (sociology); Artificial intelligence; Statistics","score_opus":0.018231680972550734,"score_gpt":0.22494597498209282,"score_spread":0.20671429400954208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053023753","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002971745,0.00010280483,0.99588865,0.000090509064,0.000032297678,0.000020205589,0.000034978315,0.00032081333,0.0005380014],"genre_scores_gemma":[0.08726584,0.0002599957,0.9087954,0.0001634576,0.00009896256,0.00014173085,0.0004218764,0.000130871,0.0027218654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993297,0.00018159328,0.000029839972,0.000103245766,0.00030084667,0.00005492181],"domain_scores_gemma":[0.9989446,0.00043979887,0.00011380485,0.00012244786,0.00031566757,0.000063655374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000951155,0.00095552794,0.0010646954,0.00069987855,0.00039054113,0.0007144916,0.0009530712,0.0011241147,0.0018544004],"category_scores_gemma":[0.0031011575,0.0004982867,0.0007021584,0.0009999208,0.00058146205,0.0011072113,0.0014223738,0.0015418526,0.0009011178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032586072,0.00013240006,0.0018835448,0.00033515063,0.00013456742,0.00022139994,0.00018217377,0.5017698,0.03802107,0.0329725,0.014807813,0.40921378],"study_design_scores_gemma":[0.000017320757,0.00003217446,0.00014592489,0.000006711578,0.0000056902377,0.000073015515,0.0000087568205,0.9928284,0.0030288564,0.0016283056,0.0022131687,0.000011613931],"about_ca_topic_score_codex":0.003884187,"about_ca_topic_score_gemma":0.005589787,"teacher_disagreement_score":0.003884187,"about_ca_system_score_codex":0.00040503632,"about_ca_system_score_gemma":0.0022752276,"threshold_uncertainty_score":0.0077231526},"labels":[],"label_agreement":null},{"id":"W2056964743","doi":"10.1155/2014/492965","title":"Rotor‐Flying Manipulator: Modeling, Analysis, and Control","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Manipulator (device); Rotor (electric); Control theory (sociology); Control (management); Computer science; Control engineering; Engineering; Mechanical engineering; Robot; Artificial intelligence","score_opus":0.0120626360923726,"score_gpt":0.21301550628534366,"score_spread":0.20095287019297106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056964743","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008926428,0.0020495455,0.9750548,0.00026116867,0.0000680385,0.00007210449,0.00011324409,0.0003695679,0.013085168],"genre_scores_gemma":[0.86308724,0.0060346723,0.10997654,0.0001678018,0.00023162433,0.0008298075,0.0005565581,0.00010344084,0.019012319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997912,0.000026010166,0.00001025806,0.00004884316,0.000103056416,0.000020591713],"domain_scores_gemma":[0.9998609,0.00003083407,0.00004958263,0.0000121266785,0.000040662213,0.000005892355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030236022,0.0009423663,0.00063087326,0.00050541945,0.0004449509,0.0008603402,0.0011309664,0.0011247183,0.0018860679],"category_scores_gemma":[0.00034315226,0.0004048084,0.00074300653,0.00051722786,0.0005436302,0.0008445627,0.00066751265,0.0008957291,0.0006829141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024934765,0.000049873357,0.00075183343,0.00022164593,0.000031438234,0.00027099063,0.0001492028,0.9249965,0.011820507,0.02784971,0.0016469781,0.03218649],"study_design_scores_gemma":[0.0000040787313,0.000028094657,0.00030122962,0.000008801695,0.0000066480516,0.000050383893,0.00001311739,0.99473035,0.00052143895,0.0026327202,0.0016937075,0.000009368775],"about_ca_topic_score_codex":0.009831536,"about_ca_topic_score_gemma":0.0044137496,"teacher_disagreement_score":0.009831536,"about_ca_system_score_codex":0.0005729836,"about_ca_system_score_gemma":0.000899818,"threshold_uncertainty_score":0.019548655},"labels":[],"label_agreement":null},{"id":"W2057069530","doi":"10.1155/2012/186481","title":"Stabilizing of Subspaces Based on DPGA and Chaos Genetic Algorithm for Optimizing State Feedback Controller","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hermite polynomials; Linear subspace; Control theory (sociology); Convergence (economics); Controller (irrigation); Algorithm; State (computer science); CHAOS (operating system); Genetic algorithm; Mathematical optimization; Population; Full state feedback; Domain (mathematical analysis); Mathematics; Computer science; Local optimum; Control (management); Artificial intelligence","score_opus":0.019537700497482366,"score_gpt":0.24975011349248302,"score_spread":0.23021241299500067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057069530","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03679329,0.00026813662,0.9579792,0.000085952066,0.000028560215,0.00005498289,0.000014717783,0.00021587587,0.004559327],"genre_scores_gemma":[0.8062345,0.00031941602,0.18981609,0.000065338936,0.00002464491,0.00036373615,0.000058062793,0.000055168963,0.0030630636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974054,0.00009311027,0.0000101879705,0.000037531834,0.00009438273,0.000024279863],"domain_scores_gemma":[0.9997894,0.00008915108,0.000030146839,0.000015664185,0.00006431031,0.000011226624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004927818,0.0005565982,0.0005809776,0.0005857325,0.00043411748,0.0005224003,0.0005716763,0.0004490748,0.0007979905],"category_scores_gemma":[0.0009086845,0.00023297875,0.0004528016,0.0005022771,0.00045985746,0.00036109384,0.0006244816,0.00047117754,0.000106316584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003116002,0.000033685494,0.0005362892,0.000055579316,0.00003950345,0.00003980713,0.00008334203,0.93696654,0.0042930474,0.012707258,0.0005053614,0.04470844],"study_design_scores_gemma":[0.000007738115,0.000026561378,0.0000829894,0.0000037071377,0.000004704728,0.000009756524,0.0000062292343,0.9975925,0.0004492626,0.001455445,0.00035743846,0.0000036982074],"about_ca_topic_score_codex":0.00377044,"about_ca_topic_score_gemma":0.0028217472,"teacher_disagreement_score":0.00377044,"about_ca_system_score_codex":0.0005583179,"about_ca_system_score_gemma":0.0008487777,"threshold_uncertainty_score":0.0074970126},"labels":[],"label_agreement":null},{"id":"W2058286959","doi":"10.1155/mpe/2006/17406","title":"An efficient computational method for statistical moments of Burger′s equation with random initial conditions","year":2006,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Ministry of Communications and Information, Singapore; Iran Telecommunication Research Center; University of Southern California","keywords":"Mathematics; Applied mathematics; Moment (physics); Computer science; Statistical physics; Physics; Classical mechanics","score_opus":0.04778429510404731,"score_gpt":0.3660280276989176,"score_spread":0.3182437325948703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058286959","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004862621,0.0001245348,0.9930722,0.00010133677,0.000051047984,0.000044371394,0.000032445132,0.00023148042,0.0014799256],"genre_scores_gemma":[0.12676497,0.00025656816,0.868834,0.000093320596,0.00007356839,0.0005050313,0.00012055754,0.00023872878,0.003113318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996575,0.00010461313,0.000016538126,0.00002314431,0.00016693439,0.000031163887],"domain_scores_gemma":[0.99928975,0.0004012414,0.000047754682,0.000078795376,0.00014546553,0.000036921003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083464314,0.0004550632,0.0007798887,0.00063524785,0.000597954,0.00054491474,0.0010440756,0.0007220739,0.0023621155],"category_scores_gemma":[0.002473103,0.00033139237,0.0005677225,0.00074358843,0.00064542744,0.000941003,0.0009801502,0.0012373173,0.00071727845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015647469,0.00010506106,0.0007582684,0.00028008188,0.0000792149,0.00034173793,0.00018494502,0.49251845,0.018415146,0.33077747,0.0044404566,0.15194261],"study_design_scores_gemma":[0.000014193287,0.000010433505,0.000052429023,0.0000064782116,0.0000036923566,0.000024044584,0.0000037751847,0.98777235,0.00089258084,0.009480036,0.001732305,0.000007702595],"about_ca_topic_score_codex":0.0016454253,"about_ca_topic_score_gemma":0.0019265797,"teacher_disagreement_score":0.0023621155,"about_ca_system_score_codex":0.0004604127,"about_ca_system_score_gemma":0.0014064701,"threshold_uncertainty_score":0.007902026},"labels":[],"label_agreement":null},{"id":"W2058314168","doi":"10.1155/2014/316395","title":"New Trends in Networked Control of Complex Dynamic Systems: Theories and Applications","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Control (management); Computer science; Distributed computing; Control engineering; Mathematics; Engineering; Artificial intelligence","score_opus":0.006169752415628159,"score_gpt":0.20540739122294527,"score_spread":0.1992376388073171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058314168","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006597359,0.49293128,0.42583868,0.021109406,0.0046870545,0.000060833478,0.00013932865,0.00020849082,0.048427522],"genre_scores_gemma":[0.17575164,0.6537883,0.13378052,0.0049613137,0.01745981,0.00038582427,0.0002785903,0.00012411973,0.013469815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921334,0.00022310209,0.000054111795,0.00012878867,0.00034396007,0.000036615933],"domain_scores_gemma":[0.9988097,0.00076279877,0.000076785705,0.000098797354,0.00019934484,0.00005260305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011220766,0.0007614782,0.0009874725,0.0011261555,0.00044369066,0.0020647892,0.0010795272,0.0015426537,0.0033514793],"category_scores_gemma":[0.0020342304,0.0003326271,0.0005913264,0.001974367,0.0022134231,0.003393634,0.001192756,0.003832567,0.0006280237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033618315,0.00006007407,0.00057756604,0.0015992854,0.000049425234,0.0001422069,0.0003448762,0.018532015,0.0013136945,0.8043915,0.01341252,0.15954329],"study_design_scores_gemma":[0.000018320621,0.00009988702,0.00054663303,0.00070532836,0.000038998467,0.00029459366,0.00029551773,0.10861177,0.0007071128,0.6726031,0.21602806,0.00005068655],"about_ca_topic_score_codex":0.000784497,"about_ca_topic_score_gemma":0.00071559276,"teacher_disagreement_score":0.0033514793,"about_ca_system_score_codex":0.00086429063,"about_ca_system_score_gemma":0.0007129333,"threshold_uncertainty_score":0.0112118125},"labels":[],"label_agreement":null},{"id":"W2060611557","doi":"10.1155/2013/749256","title":"Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; Hong Kong Polytechnic University; East China University of Science and Technology; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Swarm intelligence; Particle swarm optimization; Mathematical optimization; Computer science; Multi-swarm optimization; Variable (mathematics); Swarm behaviour; Metaheuristic; Variable neighborhood search; Artificial intelligence; Mathematics","score_opus":0.03208382069360572,"score_gpt":0.26648784778753665,"score_spread":0.23440402709393093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060611557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011287634,0.0011086442,0.9810357,0.00024512128,0.00008570325,0.000059980932,0.000011308907,0.000096785814,0.006069096],"genre_scores_gemma":[0.51992786,0.002427012,0.4705414,0.000289516,0.00014246462,0.00048053596,0.000079951235,0.00005133184,0.0060599516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997019,0.00009934528,0.000017368897,0.000033006425,0.00012847116,0.000019823725],"domain_scores_gemma":[0.9998092,0.000091666814,0.000022395257,0.000013600208,0.000047536163,0.000015568883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005493857,0.0006252308,0.0007091698,0.00057862676,0.00034589827,0.0008350955,0.00090793334,0.0007572583,0.0009966182],"category_scores_gemma":[0.00095349853,0.00023709642,0.0007438329,0.0006118926,0.00079466903,0.00076237414,0.00072184135,0.0007154853,0.0002029858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004865052,0.00008539646,0.0011642567,0.00037553915,0.00022462415,0.0003538468,0.00027952608,0.662516,0.0071000042,0.1874349,0.0026325607,0.13778473],"study_design_scores_gemma":[0.00003763796,0.0001261874,0.00017582084,0.000024517147,0.00003120737,0.00009342539,0.000022081316,0.9648846,0.0010839179,0.028122295,0.0053816675,0.000016657492],"about_ca_topic_score_codex":0.0017832248,"about_ca_topic_score_gemma":0.0012988466,"teacher_disagreement_score":0.0017832248,"about_ca_system_score_codex":0.00043364763,"about_ca_system_score_gemma":0.0008938011,"threshold_uncertainty_score":0.003545761},"labels":[],"label_agreement":null},{"id":"W2061511668","doi":"10.1155/2013/136453","title":"Application of MM5-CAMx-PSAT Modeling Approach for Investigating Emission Source Contribution to Atmospheric<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mrow><mml:msub><mml:mrow><mml:mtext>SO</mml:mtext></mml:mrow><mml:mn mathvariant=\"bold\">2</mml:mn></mml:msub></mml:mrow></mml:math>Pollution in Tangshan, Northern China","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China; Ministry of Education of the People's Republic of China; Beijing Nova Program; Natural Science Foundation of Beijing Municipality; Ministry of Environmental Protection; National Natural Science Foundation of China","keywords":"MM5; Variation (astronomy); Terrain; Air quality index; Environmental science; Planetary boundary layer; Principal component analysis; Meteorology; Wind speed; Atmospheric sciences; Correlation coefficient; Mathematics; Climatology; Statistics; Geography; Precipitation; Cartography; Physics; Geology","score_opus":0.01835004744394666,"score_gpt":0.23631959247451037,"score_spread":0.2179695450305637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061511668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7464102,0.00010257111,0.24398045,0.00017836966,0.00002715856,0.00009439944,0.0010590265,0.00072043156,0.0074273716],"genre_scores_gemma":[0.9774485,0.000030098641,0.020858347,0.0000112086755,0.000005830527,0.000047606052,0.00039984062,0.000029539995,0.0011689888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998518,0.00005612651,0.000007823097,0.00004391142,0.000025783953,0.000014488295],"domain_scores_gemma":[0.9998288,0.00008809524,0.000024245515,0.000012703917,0.000036489102,0.000009719673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042575103,0.00055373757,0.0002596561,0.0003748701,0.00035000822,0.000495272,0.000703674,0.0003832156,0.0009672319],"category_scores_gemma":[0.0006663498,0.00028231548,0.00075630884,0.00051883556,0.000145321,0.00025098163,0.0004096817,0.00029336527,0.00009584341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003103543,0.000019564712,0.006084769,0.000017794753,0.000033678265,0.00003766883,0.00002708988,0.9855547,0.0012086689,0.00083783077,0.00020363966,0.0059436345],"study_design_scores_gemma":[0.0000024415456,0.000008561584,0.0010876455,7.6033103e-7,0.0000054331645,0.000003915224,0.0000066756643,0.9984353,0.00023213004,0.00010788947,0.000106511165,0.0000026342514],"about_ca_topic_score_codex":0.05986203,"about_ca_topic_score_gemma":0.03534667,"teacher_disagreement_score":0.05986203,"about_ca_system_score_codex":0.00069183885,"about_ca_system_score_gemma":0.0010638235,"threshold_uncertainty_score":0.11902714},"labels":[],"label_agreement":null},{"id":"W2062350784","doi":"10.1155/2014/171958","title":"A SLAM Algorithm Based on Adaptive Cubature Kalman Filter","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Kalman filter; Simultaneous localization and mapping; Estimator; Divergence (linguistics); Noise (video); Algorithm; Extended Kalman filter; Computer science; Nonlinear system; A priori and a posteriori; Mathematics; Control theory (sociology); Artificial intelligence; Statistics; Robot; Mobile robot","score_opus":0.008254735961848796,"score_gpt":0.18470008233372068,"score_spread":0.17644534637187187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062350784","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003468661,0.00018131862,0.9944021,0.0000625282,0.00006864158,0.000026649454,0.000032443135,0.0007233507,0.0010343023],"genre_scores_gemma":[0.35263985,0.0008304375,0.6378233,0.00017025981,0.00015745228,0.00035340042,0.0004445199,0.00017920499,0.0074016345],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995158,0.000072303264,0.000032502572,0.0001403049,0.00019356649,0.000045433673],"domain_scores_gemma":[0.9996797,0.00006466676,0.000041834744,0.000044291137,0.0001519157,0.000017608407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047492536,0.0006769578,0.0010027139,0.00067989057,0.0006238712,0.00067984,0.0009389924,0.0007188319,0.0015843998],"category_scores_gemma":[0.0009295621,0.00047598314,0.0006387134,0.0009963874,0.0004150603,0.0012202895,0.00090486614,0.0010643835,0.00058097974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020527504,0.000060606544,0.0015593858,0.00025387274,0.000117533455,0.00012707015,0.0001999256,0.39916044,0.029444778,0.022139369,0.005935133,0.5407966],"study_design_scores_gemma":[0.00002948352,0.000050074636,0.0004122688,0.00000984318,0.00001764813,0.000076439355,0.000014895452,0.98622245,0.0036425558,0.0029221762,0.0065753763,0.000026755773],"about_ca_topic_score_codex":0.008291865,"about_ca_topic_score_gemma":0.0046812315,"teacher_disagreement_score":0.008291865,"about_ca_system_score_codex":0.00053910335,"about_ca_system_score_gemma":0.0014881089,"threshold_uncertainty_score":0.01648724},"labels":[],"label_agreement":null},{"id":"W2062746856","doi":"10.1155/2014/404198","title":"Evaluation of a Depth‐Based Multivariate <i>k</i>‐Nearest Neighbor Resampling Method with Stormwater Quality Data","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"National Research Foundation of Korea; National Research Foundation; U.S. Environmental Protection Agency","keywords":"Algorithm; Resampling; Nonparametric statistics; Multivariate statistics; Mathematics; Computer science; Data mining; Statistics; Machine learning","score_opus":0.07653283563386216,"score_gpt":0.33704099952835254,"score_spread":0.2605081638944904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062746856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15538622,0.0001476668,0.84261125,0.00015955948,0.00003881817,0.00011340734,0.000068671114,0.00039707517,0.001077253],"genre_scores_gemma":[0.77992773,0.000090161375,0.21925747,0.000042722324,0.000014798667,0.0000840932,0.00012135664,0.000042989945,0.00041869818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988218,0.00068057515,0.000053774373,0.0001431106,0.0002475259,0.000053089323],"domain_scores_gemma":[0.9960562,0.0024834322,0.00031841313,0.0002921859,0.0007338491,0.00011591657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038264443,0.00049623504,0.00056140946,0.00050741667,0.0003460048,0.000539912,0.0010742525,0.00079870026,0.0005593533],"category_scores_gemma":[0.008598939,0.000266438,0.00049135054,0.0003855055,0.00039797818,0.0010343854,0.00065306015,0.00053967454,0.000091891576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003062206,0.00016834811,0.008706907,0.00009053249,0.00009633376,0.000071980896,0.0001108171,0.89995277,0.005682023,0.005881738,0.00040931362,0.07852299],"study_design_scores_gemma":[0.0000038571675,0.000034160017,0.00036275416,0.0000013894467,0.0000031334127,0.000010451574,0.000007165021,0.9986217,0.00069185125,0.00018336586,0.00007518613,0.0000050792055],"about_ca_topic_score_codex":0.012814962,"about_ca_topic_score_gemma":0.010755336,"teacher_disagreement_score":0.012814962,"about_ca_system_score_codex":0.0007875132,"about_ca_system_score_gemma":0.00093812274,"threshold_uncertainty_score":0.025480747},"labels":[],"label_agreement":null},{"id":"W2063312902","doi":"10.1155/mpe.2005.49","title":"A filtered renewal process as a model for a river flow","year":2005,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponential function; Flow (mathematics); Process (computing); Poisson process; Poisson distribution; Exponential distribution; Hydrology (agriculture); Environmental science; Mathematics; Applied mathematics; Computer science; Geology; Statistics; Mathematical analysis; Geotechnical engineering; Geometry","score_opus":0.011284065169560072,"score_gpt":0.23175554824726113,"score_spread":0.22047148307770106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063312902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048453543,0.0011204643,0.9392446,0.00096762745,0.00022169128,0.00007693677,0.0009319374,0.00045095728,0.008532228],"genre_scores_gemma":[0.8672784,0.0029952363,0.0863349,0.00042470946,0.0005277899,0.00052835234,0.0012294236,0.00011734217,0.040563855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908566,0.00025261284,0.00006254455,0.00018607982,0.00025427353,0.00015880531],"domain_scores_gemma":[0.9983943,0.00094501267,0.00020018646,0.00012330414,0.00023767563,0.00009950311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001967327,0.0006791879,0.00096745824,0.0015746722,0.0007157967,0.0022829464,0.0025866504,0.002750489,0.004384501],"category_scores_gemma":[0.004759433,0.00040815456,0.0013847814,0.0018225394,0.0013491175,0.0028425409,0.00085545104,0.0016469604,0.001109335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006265818,0.00006880717,0.0018812843,0.000073540636,0.000053844135,0.00030120419,0.00023503127,0.3883924,0.0016944732,0.5893197,0.0022664666,0.015650617],"study_design_scores_gemma":[0.000021766724,0.000038349517,0.00031102786,0.00001692035,0.00003103921,0.00013163031,0.000019642197,0.89291596,0.00019127874,0.10219928,0.0040998105,0.00002334091],"about_ca_topic_score_codex":0.01152098,"about_ca_topic_score_gemma":0.0059876395,"teacher_disagreement_score":0.01152098,"about_ca_system_score_codex":0.0018342163,"about_ca_system_score_gemma":0.001467425,"threshold_uncertainty_score":0.022907853},"labels":[],"label_agreement":null},{"id":"W2064055503","doi":"10.1155/2015/493142","title":"Automatic Side-Scan Sonar Image Enhancement in Curvelet Transform Domain","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Curvelet; Artificial intelligence; Inverse; Computer science; Channel (broadcasting); Image (mathematics); Computer vision; Sonar; Algorithm; Contrast (vision); Pattern recognition (psychology); Nonlinear system; Noise (video); Wavelet transform; Mathematics; Wavelet; Physics; Telecommunications","score_opus":0.015265868627888948,"score_gpt":0.24191238597975973,"score_spread":0.22664651735187077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064055503","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017959619,0.00023324606,0.97996473,0.00006554633,0.000042257867,0.000029580753,0.000019028521,0.00032827753,0.0013577287],"genre_scores_gemma":[0.15302882,0.0006681555,0.841489,0.00008663644,0.00008654049,0.000057003723,0.00013433494,0.00009707727,0.0043524443],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997203,0.000038967453,0.000014946493,0.000050570427,0.00015508069,0.00002017231],"domain_scores_gemma":[0.9995491,0.00012727203,0.000049352315,0.00007818667,0.00017730636,0.000018761348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038499132,0.00057059276,0.00053854665,0.00051311654,0.00014886672,0.00045389798,0.00060323544,0.0006033142,0.0012662128],"category_scores_gemma":[0.0007305677,0.00025337926,0.00056756637,0.00046293047,0.00033639156,0.0010072634,0.00045471278,0.0007182607,0.000866007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002899141,0.00010038469,0.0007342249,0.00017326452,0.000057844718,0.00018919024,0.00009921953,0.03537181,0.44469416,0.007345629,0.0015776224,0.50936675],"study_design_scores_gemma":[0.00003416997,0.00028806782,0.0009994122,0.000017002309,0.000044931556,0.0009890205,0.00002108281,0.7252711,0.26247984,0.0021639194,0.007659383,0.000032106145],"about_ca_topic_score_codex":0.00025391564,"about_ca_topic_score_gemma":0.0003056571,"teacher_disagreement_score":0.0012662128,"about_ca_system_score_codex":0.00014157285,"about_ca_system_score_gemma":0.00023742375,"threshold_uncertainty_score":0.0042359233},"labels":[],"label_agreement":null},{"id":"W2066211231","doi":"10.1155/2015/761964","title":"An Approach to Model Earth Conductivity Structures with Lateral Changes for Calculating Induced Currents and Geoelectric Fields during Geomagnetic Disturbances","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Beijing Municipal Commission of Education; National Natural Science Foundation of China","keywords":"Geomagnetically induced current; Earth's magnetic field; Conductivity; Geophysics; Geology; Electrical conductor; Grid; Finite element method; Planar; Current (fluid); Flow (mathematics); Magnetic field; Field (mathematics); Electrical resistivity and conductivity; Electric field; Mechanics; Geomagnetic storm; Physics; Geodesy; Mathematics; Computer science","score_opus":0.03798307159198019,"score_gpt":0.246508053314286,"score_spread":0.2085249817223058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066211231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016886454,0.00013440565,0.9772134,0.00008828806,0.000026088894,0.000029512223,0.00006250914,0.0002530988,0.005306142],"genre_scores_gemma":[0.6841923,0.0006129548,0.30919445,0.00009151417,0.00003963987,0.00018974967,0.00018451463,0.00013508495,0.005359751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999213,0.000019198797,0.0000053972285,0.000013715959,0.00003193441,0.000008416804],"domain_scores_gemma":[0.99988997,0.00003575169,0.00002124329,0.000016104288,0.000029789126,0.0000071791246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014289001,0.00036168023,0.00026602906,0.00030698295,0.00025038316,0.00052885455,0.0006457194,0.0008576841,0.0009125932],"category_scores_gemma":[0.00049375225,0.00024325025,0.00047554597,0.00034561477,0.00041943474,0.0006958887,0.0004438753,0.00054362044,0.00027178277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000119763645,0.000024222127,0.00067097566,0.00005614995,0.000011380248,0.0001009754,0.000084491854,0.95248145,0.010255511,0.022246178,0.0003528827,0.013703879],"study_design_scores_gemma":[0.000004680401,0.000014107745,0.00013571033,0.000006311589,0.0000036575839,0.00004922087,0.000019253363,0.9926273,0.001437831,0.0035956728,0.0021009578,0.0000052508717],"about_ca_topic_score_codex":0.0022598386,"about_ca_topic_score_gemma":0.0017710726,"teacher_disagreement_score":0.0022598386,"about_ca_system_score_codex":0.00031755056,"about_ca_system_score_gemma":0.0005985772,"threshold_uncertainty_score":0.0044934154},"labels":[],"label_agreement":null},{"id":"W2067071761","doi":"10.1155/2010/578406","title":"Design and Lyapunov Stability Analysis of a Fuzzy Logic Controller for Autonomous Road Following","year":2010,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Nonholonomic system; Control theory (sociology); Controller (irrigation); Fuzzy logic; Control engineering; Fuzzy control system; Lyapunov function; Stability (learning theory); Lyapunov stability; Convergence (economics); Computer science; Focus (optics); Engineering; Control (management); Mobile robot; Robot; Artificial intelligence; Nonlinear system","score_opus":0.02600243796180825,"score_gpt":0.2504396496857319,"score_spread":0.22443721172392364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067071761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05015483,0.00053102756,0.93712467,0.00020250036,0.00006727015,0.00014615616,0.000037592,0.0003916672,0.0113441935],"genre_scores_gemma":[0.9593794,0.000198755,0.037178237,0.0000599876,0.000018301555,0.00016432346,0.00004037922,0.000021288724,0.0029393658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976546,0.00003173551,0.000011897754,0.0000461993,0.00012070643,0.000024009585],"domain_scores_gemma":[0.99962556,0.000118296855,0.00005110575,0.000017415272,0.00017536544,0.000012216629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049072754,0.00045560332,0.0003962472,0.00040288255,0.00054371444,0.0007887408,0.0005687954,0.00061117427,0.0014911444],"category_scores_gemma":[0.00094894134,0.0002743058,0.00033594915,0.00016443801,0.00042688247,0.00026812294,0.00029185854,0.00043693063,0.00023789622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015905184,0.00008397789,0.0006587934,0.00026153462,0.00006466913,0.00047949408,0.00034981582,0.8319877,0.07630427,0.023138724,0.0013650802,0.065146916],"study_design_scores_gemma":[0.000020271984,0.00008891451,0.00020950972,0.000007415038,0.000009400048,0.000033840028,0.000014321788,0.9941539,0.0037468714,0.0009989527,0.0007070353,0.000009484522],"about_ca_topic_score_codex":0.008002502,"about_ca_topic_score_gemma":0.0040687714,"teacher_disagreement_score":0.008002502,"about_ca_system_score_codex":0.00085826084,"about_ca_system_score_gemma":0.0012482217,"threshold_uncertainty_score":0.015911818},"labels":[],"label_agreement":null},{"id":"W2069015676","doi":"10.1155/2014/912652","title":"Regret Theory and Equilibrium Asset Prices","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Science Foundation of Ministry of Education of China; China Postdoctoral Science Foundation; Fundamental Research Funds for the Central Universities; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Regret; Economics; Portfolio; Capital asset pricing model; Benchmark (surveying); Econometrics; Asset (computer security); Behavioral economics; Market portfolio; Microeconomics; Financial economics; Computer science","score_opus":0.016378084342018054,"score_gpt":0.1936161189601901,"score_spread":0.17723803461817206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069015676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086369894,0.003124271,0.8521943,0.004788742,0.00020499808,0.00006145304,0.0002667821,0.00022099196,0.052768555],"genre_scores_gemma":[0.96166515,0.0019977507,0.0262587,0.0003817202,0.00034992784,0.00012350755,0.00018294012,0.000053615702,0.008986835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791056,0.0009150928,0.00008483787,0.0002928734,0.0005115268,0.00028509082],"domain_scores_gemma":[0.99508274,0.00314467,0.0008596136,0.00023982415,0.00050295575,0.00017010944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029809831,0.0009367518,0.0011720826,0.0008640498,0.00065860705,0.0031113636,0.0012663165,0.0019358551,0.0052668396],"category_scores_gemma":[0.012968868,0.00044633728,0.0008458082,0.00094914157,0.0023883304,0.00363921,0.0009134871,0.0019954627,0.00061675935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025461488,0.000030307634,0.0006916538,0.000048804326,0.000044516673,0.000071866445,0.00006655993,0.119550556,0.00026181948,0.87018573,0.0011168781,0.007905853],"study_design_scores_gemma":[0.000014009102,0.000024748191,0.0004215834,0.000017996692,0.000009652292,0.00002872141,0.000023630702,0.21670252,0.00010734644,0.7815679,0.0010656187,0.000016246458],"about_ca_topic_score_codex":0.0022497827,"about_ca_topic_score_gemma":0.001044666,"teacher_disagreement_score":0.0052668396,"about_ca_system_score_codex":0.0021978857,"about_ca_system_score_gemma":0.0012061226,"threshold_uncertainty_score":0.017619371},"labels":[],"label_agreement":null},{"id":"W2069928593","doi":"10.1155/2014/697085","title":"Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Linear programming; Fuzzy number; Fuzzy logic; Mathematics; Mathematical optimization; Sensitivity (control systems); Algorithm; Computer science; Fuzzy set; Artificial intelligence; Engineering","score_opus":0.07227195991487365,"score_gpt":0.3893664908525233,"score_spread":0.3170945309376496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069928593","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013002192,0.00090692745,0.9956548,0.00009202856,0.000053904692,0.000029358887,0.000014489058,0.00003371147,0.0019145386],"genre_scores_gemma":[0.16026926,0.0031275146,0.8295104,0.00019562668,0.00026333763,0.0004441177,0.00008148543,0.00011230307,0.0059959665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99731207,0.0015654339,0.00011508014,0.00024204502,0.0006648615,0.00010060948],"domain_scores_gemma":[0.9976186,0.001813708,0.00012757495,0.000089960464,0.00032153158,0.000028485236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037339616,0.0011646647,0.0016510456,0.002033671,0.0007121704,0.0012274149,0.0015791917,0.0012988057,0.0031681107],"category_scores_gemma":[0.0048969635,0.000685773,0.0023881781,0.0015343985,0.0013168833,0.0017537404,0.0014650509,0.003264261,0.00048466472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011759538,0.00008257551,0.00027299757,0.0010145766,0.00029077975,0.00018298264,0.00033178064,0.52088577,0.008397521,0.3308385,0.0023640578,0.13522083],"study_design_scores_gemma":[0.00000971087,0.000040634073,0.00007278368,0.00004371444,0.000025679554,0.000036334673,0.00002495786,0.9486286,0.0017809122,0.046687093,0.0026221036,0.000027465614],"about_ca_topic_score_codex":0.0015314514,"about_ca_topic_score_gemma":0.0015992061,"teacher_disagreement_score":0.0037339616,"about_ca_system_score_codex":0.00086927216,"about_ca_system_score_gemma":0.0010048039,"threshold_uncertainty_score":0.019747317},"labels":[],"label_agreement":null},{"id":"W2070085040","doi":"10.1155/2012/829037","title":"Further Stability Criterion on Delayed Recurrent Neural Networks Based on Reciprocal Convex Technique","year":2011,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Reciprocal; Interval (graph theory); Control theory (sociology); Mathematics; Regular polygon; Upper and lower bounds; Stability (learning theory); Derivative (finance); Artificial neural network; Convex combination; State (computer science); Convex optimization; Computer science; Algorithm; Combinatorics; Mathematical analysis; Artificial intelligence; Control (management)","score_opus":0.030280937163707874,"score_gpt":0.2233580197840578,"score_spread":0.19307708262034995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070085040","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010673193,0.00023580425,0.9827011,0.00014495288,0.000048762697,0.000028691025,0.000077425066,0.00015099878,0.005939091],"genre_scores_gemma":[0.8507337,0.00093533803,0.1348496,0.00016203917,0.00012819686,0.0002411268,0.00036921597,0.00018111858,0.012399616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996013,0.00008717212,0.000031271247,0.00010009882,0.00013667137,0.00004349448],"domain_scores_gemma":[0.9995097,0.00015280562,0.00007811145,0.00003383695,0.00020080825,0.000024698009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008911713,0.0013275797,0.0007657267,0.0005520289,0.00044453397,0.0009891329,0.0008393632,0.00071628054,0.0036298232],"category_scores_gemma":[0.001572546,0.0002862978,0.0008081529,0.00044719136,0.0007148028,0.0012215356,0.00080649584,0.0011742226,0.00064377487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016090652,0.00004979967,0.00042385102,0.0003834267,0.00007076077,0.0004265988,0.0002726522,0.6057405,0.06011648,0.26944032,0.005177608,0.05773718],"study_design_scores_gemma":[0.000008217889,0.000053708623,0.000105743784,0.000010711281,0.000012135644,0.00008260379,0.00001877348,0.9769682,0.006026769,0.0153807895,0.0013181757,0.000014133795],"about_ca_topic_score_codex":0.0012993879,"about_ca_topic_score_gemma":0.0009017873,"teacher_disagreement_score":0.0036298232,"about_ca_system_score_codex":0.0009883266,"about_ca_system_score_gemma":0.0007568247,"threshold_uncertainty_score":0.012143016},"labels":[],"label_agreement":null},{"id":"W2072874566","doi":"10.1155/2013/362601","title":"Ameliorated Austenite Carbon Content Control in Austempered Ductile Irons by Support Vector Regression","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"National Science Council","keywords":"Austempering; Austenite; Support vector machine; Histogram; Bainite; Materials science; Carbon fibers; Microstructure; Alloy; Autoregressive model; Metallurgy; Computer science; Composite material; Artificial intelligence; Mathematics; Statistics; Image (mathematics)","score_opus":0.012189813145993428,"score_gpt":0.18104433611589824,"score_spread":0.1688545229699048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072874566","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14217867,0.00019247933,0.8563658,0.000069130976,0.0000167307,0.00002032224,0.00002928826,0.0005799189,0.00054767035],"genre_scores_gemma":[0.9302023,0.00009744772,0.06815704,0.000022648317,0.000011330343,0.000025188652,0.000081463804,0.000045766923,0.001356795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997278,0.00006193393,0.000018568102,0.0000877021,0.00007225312,0.000031782198],"domain_scores_gemma":[0.999288,0.00032778014,0.00013939479,0.00005319978,0.00017227228,0.000019395444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008466452,0.0005945063,0.0006047549,0.0003579685,0.00017186873,0.00051307864,0.0006807305,0.00062820513,0.00042756824],"category_scores_gemma":[0.0015545676,0.00029618377,0.00037209352,0.00033014896,0.00031230424,0.0005280136,0.00032966898,0.00060410023,0.00020319976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016548875,0.00010490543,0.0012625809,0.00009905759,0.000040404087,0.000054035514,0.000056550532,0.8362803,0.04424997,0.0010853342,0.0002923593,0.11630907],"study_design_scores_gemma":[0.0000016819946,0.00002345907,0.0001771977,9.883732e-7,0.000002466021,0.0000035401113,0.000002850599,0.99653107,0.0030627896,0.00012854737,0.000062745785,0.0000027408194],"about_ca_topic_score_codex":0.0033391884,"about_ca_topic_score_gemma":0.0031747029,"teacher_disagreement_score":0.0033391884,"about_ca_system_score_codex":0.0002873961,"about_ca_system_score_gemma":0.00040720688,"threshold_uncertainty_score":0.00663954},"labels":[],"label_agreement":null},{"id":"W2074353100","doi":"10.1155/2010/378652","title":"Knowledge‐Based Green′s Kernel for Support Vector Regression","year":2010,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Support vector machine; Kernel (algebra); Polynomial kernel; Radial basis function kernel; Kernel method; Mathematics; Kernel embedding of distributions; Regularization (linguistics); Regularization perspectives on support vector machines; Artificial intelligence; Benchmark (surveying); Computer science; Pattern recognition (psychology); Machine learning; Inverse problem; Mathematical analysis; Pure mathematics","score_opus":0.021498149984607844,"score_gpt":0.26249896589083543,"score_spread":0.2410008159062276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074353100","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002551228,0.000120862176,0.9967429,0.000055079807,0.000013275145,0.000009418247,0.000016271191,0.00015131391,0.00033970972],"genre_scores_gemma":[0.37278396,0.00092296477,0.6201539,0.00025621275,0.000135799,0.00017156356,0.00044592173,0.00024289753,0.004886776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984345,0.0004796531,0.00010023821,0.0002674886,0.00061014993,0.00010808226],"domain_scores_gemma":[0.99689376,0.0017170244,0.000240558,0.000412563,0.0006541673,0.00008186829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020273111,0.00093867665,0.0015182783,0.0011819173,0.00036477693,0.0012538771,0.0017154539,0.0019496833,0.001729221],"category_scores_gemma":[0.008257469,0.00042981506,0.0012858816,0.0012727057,0.0011930872,0.0026988124,0.0011414221,0.0018087727,0.0011962177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002142241,0.000114259106,0.0008313578,0.00026401467,0.0001465501,0.00020222794,0.00012281968,0.6176835,0.012487777,0.09308361,0.0030305206,0.27181914],"study_design_scores_gemma":[0.000004311815,0.000023496952,0.00009618658,0.000008705323,0.000007513222,0.00003675638,0.0000044915982,0.98833,0.00209586,0.008453245,0.000928825,0.00001061151],"about_ca_topic_score_codex":0.0017185499,"about_ca_topic_score_gemma":0.00093165727,"teacher_disagreement_score":0.0020273111,"about_ca_system_score_codex":0.0009953324,"about_ca_system_score_gemma":0.0010525825,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2075280697","doi":"10.1155/2013/323750","title":"A Multidimensional and Multimembership Clustering Method for Social Networks and Its Application in Customer Relationship Management","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Science Foundation of Ministry of Education of China; Independent Innovation Foundation of Shandong University; China Postdoctoral Science Foundation; Shandong University; Ministry of Education of the People's Republic of China; National Science Foundation","keywords":"Computer science; Hierarchical clustering; Data mining; Cluster analysis; Redundancy (engineering); Tree (set theory); Feature (linguistics); Graph; Artificial intelligence; Machine learning; Theoretical computer science; Mathematics","score_opus":0.019920322069317122,"score_gpt":0.2784200982199617,"score_spread":0.2584997761506446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075280697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004719161,0.000374419,0.9934818,0.0001947613,0.00007033226,0.00007709982,0.000110303765,0.00024340615,0.0007287557],"genre_scores_gemma":[0.07047768,0.00059421017,0.92592734,0.000100080026,0.00012638627,0.00026664478,0.00042627472,0.00011319516,0.0019682867],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822944,0.0005969503,0.00009073565,0.0003855583,0.00062771403,0.000069725655],"domain_scores_gemma":[0.9977386,0.00092526205,0.00026552417,0.0002753691,0.0006665417,0.00012878246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016698287,0.00088129623,0.0009803809,0.0049502095,0.0014587909,0.00119301,0.0015288587,0.001508616,0.0020547202],"category_scores_gemma":[0.0055579017,0.00042987568,0.0013786271,0.004916668,0.00082691456,0.0022738413,0.0014574768,0.0014417534,0.0010794983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001452507,0.0002486434,0.0044307117,0.00052906206,0.00039344458,0.00024224119,0.00083736243,0.18941627,0.010233864,0.06849207,0.013120136,0.7119109],"study_design_scores_gemma":[0.000015714528,0.0000592144,0.0016709652,0.000035082194,0.000041200674,0.00028258984,0.00013294973,0.95453215,0.0021826588,0.033172272,0.0078023034,0.000072847666],"about_ca_topic_score_codex":0.0036863605,"about_ca_topic_score_gemma":0.0046754116,"teacher_disagreement_score":0.0049502095,"about_ca_system_score_codex":0.0010220085,"about_ca_system_score_gemma":0.0011612135,"threshold_uncertainty_score":0.008830965},"labels":[],"label_agreement":null},{"id":"W2075436787","doi":"10.1080/10241230211381","title":"QCA implementation of a multichannel filter for image processing","year":2002,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cellular automaton; Computer science; Filter (signal processing); Quantum dot cellular automaton; Image (mathematics); Image processing; Composite image filter; Computer engineering; Theoretical computer science; Algorithm; Computer vision; Artificial intelligence; Electronic engineering; Engineering","score_opus":0.0252468534914703,"score_gpt":0.25696868569422154,"score_spread":0.23172183220275125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075436787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066584766,0.00077251595,0.90690136,0.00074131443,0.0006640067,0.00012065343,0.00021741429,0.0012077206,0.022790277],"genre_scores_gemma":[0.5196148,0.0005210712,0.4685466,0.00025562555,0.00007017551,0.00012633497,0.00007558295,0.0000769241,0.010712903],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998957,0.00001051582,0.0000046853943,0.000022180297,0.000051630373,0.000015290392],"domain_scores_gemma":[0.9998497,0.000040111718,0.000013185803,0.000028628743,0.00005562151,0.000012623639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013974251,0.00018934316,0.00016358508,0.00017491737,0.0003559206,0.00049065927,0.00043050232,0.0004834807,0.0028113679],"category_scores_gemma":[0.0003764008,0.00012979892,0.00020636954,0.00020195183,0.00029479407,0.00043197686,0.00021562577,0.0005084654,0.0005621679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011339248,0.00015418774,0.000497877,0.00017080117,0.00004487474,0.0002056155,0.00013803518,0.01652703,0.66040105,0.21638015,0.0037058317,0.10166117],"study_design_scores_gemma":[0.000039476523,0.00016812286,0.00065396907,0.000025955193,0.000035408466,0.0003308754,0.000029122435,0.50076735,0.42845747,0.018041769,0.051397625,0.000052928193],"about_ca_topic_score_codex":0.001633775,"about_ca_topic_score_gemma":0.0029765677,"teacher_disagreement_score":0.0028113679,"about_ca_system_score_codex":0.0005959381,"about_ca_system_score_gemma":0.0005479126,"threshold_uncertainty_score":0.009404957},"labels":[],"label_agreement":null},{"id":"W2076237346","doi":"10.1155/2010/537571","title":"Modeling and Pricing of Variance and Volatility Swaps for Local Semi‐Markov Volatilities in Financial Engineering","year":2010,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain; Econometrics; Martingale (probability theory); Volatility (finance); Stochastic volatility; Markov process; Variance swap; Mathematics; Economics; Financial economics; Forward volatility; Applied mathematics; Statistics","score_opus":0.011850319845038329,"score_gpt":0.1934389070333124,"score_spread":0.1815885871882741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076237346","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3554032,0.0007063973,0.6387538,0.0008286351,0.00004087419,0.00002673306,0.00006041055,0.000063362204,0.0041167005],"genre_scores_gemma":[0.9863165,0.00032205536,0.010160374,0.000031470492,0.000035340534,0.000038853388,0.000029127217,0.00001197783,0.0030541897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966335,0.00012442042,0.000015284171,0.00006073188,0.00007641743,0.00005981987],"domain_scores_gemma":[0.9989519,0.00062810193,0.00022476458,0.0000424716,0.000078970246,0.00007380729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011851765,0.0005508759,0.00079819275,0.0005127317,0.00034631157,0.0013934406,0.0008933154,0.001335535,0.0012881714],"category_scores_gemma":[0.0030679025,0.00044051764,0.0008691541,0.00035570876,0.0014522295,0.0017480039,0.00073884707,0.0009136599,0.00013303293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051676474,0.000059899638,0.0017100498,0.00004939673,0.000051766638,0.00021259589,0.000102925114,0.6759594,0.0038958413,0.31333804,0.00026843286,0.0042999503],"study_design_scores_gemma":[0.0000063288326,0.00001680564,0.0002652909,0.0000039640117,0.0000070519786,0.000020903411,0.000011826049,0.9481756,0.00025581114,0.051107347,0.000120370125,0.0000086612035],"about_ca_topic_score_codex":0.0025300137,"about_ca_topic_score_gemma":0.0020827597,"teacher_disagreement_score":0.0025300137,"about_ca_system_score_codex":0.0010741118,"about_ca_system_score_gemma":0.00086243724,"threshold_uncertainty_score":0.007793188},"labels":[],"label_agreement":null},{"id":"W2078069517","doi":"10.1155/2013/702939","title":"An Inventory Model for Perishable Products with Stock-Dependent Demand and Trade Credit under Inflation","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea; National Natural Science Foundation of China; National Research Foundation","keywords":"Economic order quantity; Trade credit; Purchasing; Revenue; Economics; Stock (firearms); Holding cost; Time value of money; Interest rate; Microeconomics; Monetary economics; Business; Finance; Supply chain; Operations management","score_opus":0.022636802010272114,"score_gpt":0.20616153738015797,"score_spread":0.18352473536988584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078069517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40566647,0.003938503,0.5390694,0.003193667,0.00035620437,0.0003538492,0.0025253335,0.00068044255,0.044216074],"genre_scores_gemma":[0.9693159,0.0010977277,0.00823142,0.00010013696,0.00007050422,0.00017168092,0.00038860767,0.000047969046,0.02057613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927276,0.00019715604,0.000049786,0.00016272534,0.00012976961,0.00018784274],"domain_scores_gemma":[0.9991159,0.00033475808,0.000199044,0.000035496072,0.00017774274,0.00013708303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013104922,0.0013934001,0.002144846,0.0011243337,0.0011200882,0.0030809771,0.0034018348,0.0037754744,0.005482017],"category_scores_gemma":[0.00178405,0.0011091437,0.001404526,0.0022232588,0.001406862,0.0030785147,0.0014999355,0.0020762852,0.00071139203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012268317,0.00006549376,0.00097315403,0.000113468355,0.000026818414,0.00063437613,0.00012965439,0.97374594,0.001026767,0.020071324,0.0006943843,0.0023959693],"study_design_scores_gemma":[0.000027329546,0.000050510702,0.00024046734,0.000011502851,0.000021016933,0.00005851576,0.00004195775,0.99478996,0.00008579697,0.00419097,0.00046029725,0.000021707669],"about_ca_topic_score_codex":0.024611628,"about_ca_topic_score_gemma":0.0131933885,"teacher_disagreement_score":0.024611628,"about_ca_system_score_codex":0.0028966928,"about_ca_system_score_gemma":0.0018988177,"threshold_uncertainty_score":0.048936725},"labels":[],"label_agreement":null},{"id":"W2078978921","doi":"10.1155/2013/837919","title":"Bilevel Multiobjective Programming Applied to Water Resources Allocation","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National High-tech Research and Development Program; Ministry of Water Resources; National Natural Science Foundation of China","keywords":"Mathematical optimization; Bilevel optimization; Linear programming; Computer science; Analytic hierarchy process; Fuzzy logic; Hierarchy; Operations research; Mathematics; Optimization problem; Artificial intelligence","score_opus":0.008404664537964594,"score_gpt":0.19489940562292482,"score_spread":0.18649474108496022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078978921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066327727,0.000538442,0.9892945,0.0001668348,0.00003443681,0.000045243592,0.000021826541,0.000055979042,0.0032098885],"genre_scores_gemma":[0.5545452,0.001997183,0.4378328,0.0001461231,0.000077569726,0.00053061714,0.0001394972,0.00008063799,0.004650393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987746,0.00070463814,0.00005736928,0.00012761488,0.00022818129,0.00010767035],"domain_scores_gemma":[0.9989812,0.00069455075,0.000092125985,0.000031754436,0.00015525761,0.00004499064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016745875,0.0013135436,0.0014472958,0.0011128697,0.0008184973,0.0017341569,0.0008792665,0.0012731211,0.0017007776],"category_scores_gemma":[0.0032152934,0.0006866104,0.0012593385,0.0023126088,0.0009539529,0.0009887128,0.0016712786,0.0020412828,0.00022358279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012574657,0.000024642632,0.0002447264,0.00010410178,0.000039431347,0.000065170454,0.000048972117,0.96655256,0.00045640962,0.018004483,0.0002762278,0.01417079],"study_design_scores_gemma":[0.000003949293,0.00002001369,0.00003611728,0.000011098334,0.000006318606,0.00001203849,0.0000148959925,0.9880271,0.00019330814,0.011088543,0.00058146846,0.00000516374],"about_ca_topic_score_codex":0.0053965244,"about_ca_topic_score_gemma":0.0040958175,"teacher_disagreement_score":0.0053965244,"about_ca_system_score_codex":0.0012858112,"about_ca_system_score_gemma":0.0018748752,"threshold_uncertainty_score":0.010730207},"labels":[],"label_agreement":null},{"id":"W2079717677","doi":"10.1155/2013/272491","title":"A Genetic-Algorithms-Based Approach for Programming Linear and Quadratic Optimization Problems with Uncertainty","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Quadratic programming; Computer science; MATLAB; Genetic algorithm; Solver; Mathematical optimization; Binary number; Linear programming; Computation; Sequential quadratic programming; Algorithm; Mathematics; Programming language","score_opus":0.009889674053944883,"score_gpt":0.18322880362651914,"score_spread":0.17333912957257425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079717677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009470917,0.00009732616,0.99736685,0.00004796026,0.000016103882,0.000015596783,0.000005636403,0.000059155172,0.0014443083],"genre_scores_gemma":[0.11857061,0.00047713565,0.87769115,0.00012933658,0.00007038738,0.0002660101,0.00005791316,0.000108031156,0.0026293204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992906,0.00022719994,0.00002430064,0.00007005426,0.00035286066,0.000035007008],"domain_scores_gemma":[0.9995136,0.00031440184,0.000040219067,0.000026831998,0.00008976857,0.00001512858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079812435,0.0010847559,0.00082346465,0.00096256647,0.00058884866,0.0009014442,0.0012134498,0.0012209336,0.0016276466],"category_scores_gemma":[0.0019780262,0.00034328527,0.00096431654,0.0010450941,0.000995322,0.0007210933,0.00089993584,0.0015149371,0.0003266543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001877224,0.000033221622,0.00018887177,0.000094615236,0.000054999633,0.000055091932,0.00006380909,0.8769528,0.0016772343,0.043019727,0.00075069454,0.077090174],"study_design_scores_gemma":[0.0000073188776,0.000019976373,0.000050418064,0.00001335682,0.000010436206,0.000025853566,0.000009459182,0.9848972,0.0005779082,0.012374718,0.0020054493,0.0000078789535],"about_ca_topic_score_codex":0.004588032,"about_ca_topic_score_gemma":0.0037895828,"teacher_disagreement_score":0.004588032,"about_ca_system_score_codex":0.00074917224,"about_ca_system_score_gemma":0.0012001696,"threshold_uncertainty_score":0.00912267},"labels":[],"label_agreement":null},{"id":"W2080439709","doi":"10.1155/2013/176249","title":"Bayesian Sparse Estimation Using Double Lomax Priors","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Prior probability; Smoothing; Latent variable; Bayesian inference; Inference; Bayesian probability; Autoregressive model; Mathematics; Computer science; Algorithm; Applied mathematics; Artificial intelligence; Mathematical optimization; Statistics","score_opus":0.01923914469937144,"score_gpt":0.22640934628454298,"score_spread":0.20717020158517155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080439709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00200424,0.000058137997,0.99721366,0.0000742088,0.000006578176,0.000009825769,0.000025783233,0.00006857893,0.0005389391],"genre_scores_gemma":[0.28105214,0.0006705725,0.71136045,0.00030378578,0.00012032096,0.00023426863,0.00048547192,0.00016289164,0.005610131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999164,0.00037248447,0.00003144896,0.00015094204,0.00021762431,0.00006357089],"domain_scores_gemma":[0.99857116,0.00094424485,0.00014372965,0.00015488073,0.00013136299,0.000054629785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016412782,0.00079595135,0.0008525277,0.0007186644,0.0003962353,0.0009676394,0.001171448,0.0010191057,0.0024516224],"category_scores_gemma":[0.005209173,0.00063534745,0.0006673676,0.0008144322,0.0012358527,0.0020475052,0.0018587124,0.0018266976,0.0006722651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020154429,0.0000844315,0.001227214,0.00022427994,0.000087978595,0.00014996837,0.00020527434,0.5643479,0.0131470235,0.26215407,0.0031198123,0.15505044],"study_design_scores_gemma":[0.000011423473,0.000023326094,0.00016722469,0.000015205631,0.0000069647126,0.00003628607,0.000010674618,0.9612529,0.0015577464,0.03535288,0.0015507324,0.000014611972],"about_ca_topic_score_codex":0.0023508137,"about_ca_topic_score_gemma":0.0030754386,"teacher_disagreement_score":0.0024516224,"about_ca_system_score_codex":0.00057231117,"about_ca_system_score_gemma":0.0011199676,"threshold_uncertainty_score":0.008679986},"labels":[],"label_agreement":null},{"id":"W2082518332","doi":"10.1155/2007/54683","title":"Suboptimal RED Feedback Control for Buffered TCP Flow Dynamics in Computer Network","year":2007,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Active queue management; Random early detection; Network congestion; Computer science; Router; Queue; Network packet; Control theory (sociology); Process (computing); Synchronization (alternating current); Mathematical optimization; Computer network; Channel (broadcasting); Control (management); Mathematics","score_opus":0.007484638976436698,"score_gpt":0.1995714042946248,"score_spread":0.1920867653181881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082518332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2663941,0.00060433306,0.7253461,0.00056497275,0.0000935437,0.00005738878,0.000061875086,0.00046434338,0.0064133033],"genre_scores_gemma":[0.99379444,0.00008148599,0.005197735,0.000027599091,0.000008326723,0.000022166174,0.000009450291,0.000008198724,0.0008505583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968016,0.00012987466,0.0000109573,0.000058859634,0.00006519735,0.00005491467],"domain_scores_gemma":[0.99942327,0.00029468027,0.00011657537,0.000026155183,0.0001061687,0.000033292075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006821,0.00061026245,0.00058014784,0.0002731893,0.00034476904,0.00073609495,0.0005467646,0.000547485,0.00091523223],"category_scores_gemma":[0.001971402,0.00030616162,0.00025275265,0.00018385678,0.00091791415,0.0004912475,0.00072047714,0.00054222374,0.00007904618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073439405,0.000022193799,0.0002080903,0.000033447366,0.000014298189,0.000054170963,0.00005139718,0.984916,0.0032985057,0.0078022853,0.0002130998,0.0033131167],"study_design_scores_gemma":[0.000007924057,0.000022496386,0.000042694588,0.0000011660741,0.0000026779078,0.0000020308337,0.0000020376917,0.99910706,0.0001484862,0.00061870314,0.000042979533,0.0000016696838],"about_ca_topic_score_codex":0.011142286,"about_ca_topic_score_gemma":0.005337134,"teacher_disagreement_score":0.011142286,"about_ca_system_score_codex":0.0012814879,"about_ca_system_score_gemma":0.0008147524,"threshold_uncertainty_score":0.022154868},"labels":[],"label_agreement":null},{"id":"W2084768404","doi":"10.1155/2011/831695","title":"Synchronization for an Array of Coupled Cohen‐Grossberg Neural Networks with Time‐Varying Delay","year":2011,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Jiangsu Planned Projects for Postdoctoral Research Funds; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Kronecker product; Synchronization (alternating current); Artificial neural network; Weighting; Convex combination; Control theory (sociology); Product (mathematics); Computer science; Matrix (chemical analysis); Linear matrix inequality; Mathematics; Coupling (piping); Algorithm; Regular polygon; Applied mathematics; Mathematical optimization; Kronecker delta; Convex optimization; Topology (electrical circuits); Engineering; Artificial intelligence; Combinatorics; Physics","score_opus":0.019257075817143768,"score_gpt":0.20878457519766092,"score_spread":0.18952749938051716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084768404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11896858,0.00044169906,0.8750636,0.0002654045,0.000076540586,0.00002720802,0.000045961922,0.00008830139,0.0050226804],"genre_scores_gemma":[0.97456145,0.00028577016,0.021577429,0.000057527857,0.000022381095,0.000058017606,0.000029591769,0.000012566539,0.0033951248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997397,0.00006584825,0.0000134864595,0.000092525006,0.00005723227,0.000031213924],"domain_scores_gemma":[0.9995689,0.00019768163,0.00010267762,0.00002276299,0.00008566144,0.000022279708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005931912,0.0006190107,0.00044743315,0.0002711585,0.00031331016,0.0005318616,0.0005833135,0.0008451077,0.0008488702],"category_scores_gemma":[0.0013771829,0.0002424542,0.00044282377,0.00028672203,0.000772019,0.0009037313,0.0007432746,0.0006310443,0.00011573147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011655524,0.000023356886,0.0009648371,0.000109288194,0.0000779818,0.00029529043,0.00021790944,0.90277094,0.019988684,0.061376084,0.00033057368,0.0137284165],"study_design_scores_gemma":[0.000008400929,0.000037043454,0.00015293728,0.000003817801,0.000013488131,0.000026785496,0.00001847592,0.99123424,0.0012023279,0.007033529,0.00025923157,0.000009729378],"about_ca_topic_score_codex":0.0021115497,"about_ca_topic_score_gemma":0.002656582,"teacher_disagreement_score":0.0021115497,"about_ca_system_score_codex":0.0007972528,"about_ca_system_score_gemma":0.00041447888,"threshold_uncertainty_score":0.0057845116},"labels":[],"label_agreement":null},{"id":"W2085919517","doi":"10.1155/2014/737694","title":"Fractal‐Based Methods and Inverse Problems for Differential Equations: Current State of the Art","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Current (fluid); Fractal; Mathematics; Inverse; Partial differential equation; Domain (mathematical analysis); Inverse problem; String (physics); State (computer science); Ordinary differential equation; Applied mathematics; Mathematical analysis; Differential equation; Algorithm; Physics; Geometry","score_opus":0.024091957199946713,"score_gpt":0.26425868500496574,"score_spread":0.24016672780501902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085919517","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038103368,0.6195535,0.3582419,0.0014317319,0.00062322395,0.000045844612,0.00008785757,0.0002508361,0.015954707],"genre_scores_gemma":[0.05111138,0.7050486,0.23404665,0.0005835046,0.0027889877,0.00014006982,0.00026906116,0.00017464302,0.005836994],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99935466,0.00014400273,0.000060559138,0.0001053242,0.00030606502,0.000029461971],"domain_scores_gemma":[0.99771416,0.0016794024,0.00010542091,0.0001537924,0.00029987405,0.000047443074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014166374,0.0008434509,0.001536495,0.002491534,0.00037369996,0.0020040856,0.0012881868,0.0020364588,0.002817039],"category_scores_gemma":[0.002941354,0.0006526485,0.0009256424,0.0026638224,0.0016892127,0.002894322,0.0011949218,0.001800164,0.0016234483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007339878,0.00011703929,0.0006844675,0.007825475,0.00013714386,0.00019954865,0.00042650633,0.02495119,0.007964579,0.2068517,0.009611153,0.74115777],"study_design_scores_gemma":[0.000045010536,0.00020462387,0.001330731,0.0023701985,0.00010454489,0.0017895198,0.00032214733,0.14284241,0.007797294,0.2778405,0.56510276,0.0002503402],"about_ca_topic_score_codex":0.0006206175,"about_ca_topic_score_gemma":0.0004890549,"teacher_disagreement_score":0.002817039,"about_ca_system_score_codex":0.00052289275,"about_ca_system_score_gemma":0.00058354734,"threshold_uncertainty_score":0.009423912},"labels":[],"label_agreement":null},{"id":"W2086173812","doi":"10.1155/2014/939853","title":"A Lexicographic Approach to Postdisaster Relief Logistics Planning Considering Fill Rates and Costs under Uncertainty","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; China Postdoctoral Science Foundation; National University of Defense Technology; National Natural Science Foundation of China","keywords":"Stochastic programming; Lexicographical order; Mathematical optimization; Decomposition; Operations research; Computer science; Software deployment; Heuristic; Total cost; Programming paradigm; Population; Emergency management; Engineering; Mathematics; Economics","score_opus":0.033178785439891056,"score_gpt":0.23621162493717981,"score_spread":0.20303283949728876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086173812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074215387,0.00018687955,0.98771137,0.00037153793,0.000034587178,0.00010034654,0.00024875093,0.00008852645,0.003836429],"genre_scores_gemma":[0.30491063,0.0011065826,0.6867375,0.0002401492,0.00010558515,0.0007926559,0.00065743044,0.00017722195,0.0052722795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840945,0.00096358743,0.000077495606,0.00017605777,0.00024763285,0.00012576368],"domain_scores_gemma":[0.99761045,0.0018208318,0.00019617443,0.00007931728,0.00021339847,0.000079822436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021119486,0.0013461238,0.001761172,0.0020479115,0.0007585168,0.0023526475,0.0016130705,0.0016406907,0.005450306],"category_scores_gemma":[0.0047106277,0.0015036794,0.001657478,0.0029585906,0.0012366298,0.002109743,0.0012694292,0.0017233407,0.0006467514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014779178,0.000013920265,0.00012652077,0.000039165647,0.000017492923,0.000046046593,0.00002238871,0.9793931,0.00013966308,0.015089792,0.00034840114,0.0047487025],"study_design_scores_gemma":[0.000008599858,0.000022592963,0.000055933746,0.000009814736,0.000006152891,0.000018035678,0.000024734863,0.9830199,0.000115648116,0.016097832,0.00061109185,0.00000965629],"about_ca_topic_score_codex":0.008435929,"about_ca_topic_score_gemma":0.009422126,"teacher_disagreement_score":0.008435929,"about_ca_system_score_codex":0.002595518,"about_ca_system_score_gemma":0.0030716558,"threshold_uncertainty_score":0.01883185},"labels":[],"label_agreement":null},{"id":"W2086361751","doi":"10.1155/mpe.2005.7","title":"Real‐time feedback control of computer networks based on predicted state estimation","year":2005,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Control (management); Feedback control; Computer science; State (computer science); Model predictive control; Telecommunications network; Networked control system; Control theory (sociology); Control engineering; Engineering; Artificial intelligence; Computer network; Algorithm","score_opus":0.004349945398587476,"score_gpt":0.1840630551090433,"score_spread":0.17971310971045584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086361751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08668147,0.00044435167,0.9076778,0.00035585937,0.00015361393,0.000043347933,0.00002780166,0.00066103536,0.0039546397],"genre_scores_gemma":[0.98639953,0.00013789735,0.012391468,0.000031311567,0.000037756065,0.000036942594,0.000014774677,0.0000090837175,0.000941342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998122,0.00004353956,0.000006759001,0.00004351681,0.000059434216,0.000034557193],"domain_scores_gemma":[0.9993643,0.0003529592,0.000114549584,0.000039360162,0.000097990094,0.000030683033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044447233,0.00063042965,0.0003681833,0.00026038644,0.00026436333,0.0005050409,0.0008339909,0.0005245326,0.0009708909],"category_scores_gemma":[0.0014639511,0.00019287209,0.00020658333,0.00025196056,0.00076417945,0.00062041846,0.00048259573,0.0006578019,0.0001080302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009742053,0.00006407636,0.00029333736,0.0000442327,0.00001734328,0.00008904813,0.00005250965,0.9564284,0.008809328,0.0066627543,0.00058461295,0.026856925],"study_design_scores_gemma":[0.000008611695,0.000041101146,0.000046945966,0.0000016752267,0.0000037303205,0.0000059690733,0.0000018765389,0.99770856,0.0011626782,0.00086764985,0.00014801217,0.0000031757065],"about_ca_topic_score_codex":0.005019401,"about_ca_topic_score_gemma":0.0032614358,"teacher_disagreement_score":0.005019401,"about_ca_system_score_codex":0.00044729005,"about_ca_system_score_gemma":0.00047172038,"threshold_uncertainty_score":0.009980381},"labels":[],"label_agreement":null},{"id":"W2088519797","doi":"10.1155/mpe/2006/29643","title":"Intersection test and blossoming perturbation for disk parametric curves and ball parametric surfaces","year":2006,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tensor product; Ball (mathematics); Parametric statistics; Mathematics; Bézier curve; Parametric surface; Parametric equation; Mathematical analysis; Geometry; Pure mathematics; Statistics","score_opus":0.005714358145732484,"score_gpt":0.20064002474079984,"score_spread":0.19492566659506735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088519797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079060234,0.00009467114,0.9172483,0.00005797869,0.000020823994,0.000053904343,0.00003419471,0.0004368953,0.0029929285],"genre_scores_gemma":[0.6801088,0.00015217804,0.3162301,0.00002303286,0.000023060267,0.000067567635,0.00017951246,0.00018096251,0.0030348338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981919,0.00036218003,0.00007196798,0.00017950614,0.0010626338,0.00013176106],"domain_scores_gemma":[0.9940308,0.0036913648,0.00060374406,0.0006628754,0.00084298383,0.00016820089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015785416,0.00067706546,0.0010553403,0.0016459203,0.00063564815,0.0014386579,0.0012186854,0.00080959656,0.0021804317],"category_scores_gemma":[0.014257317,0.00034326123,0.00048437604,0.0016537288,0.0017687433,0.0019608794,0.0020334357,0.001302189,0.00037710098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011024497,0.0001598657,0.005681426,0.00014740572,0.00005779156,0.00042712834,0.0004737478,0.43197167,0.03359966,0.15862235,0.001716895,0.36603972],"study_design_scores_gemma":[0.0000047928224,0.000057830035,0.00033324526,0.0000054824404,0.0000037214256,0.00011616753,0.00004208814,0.9762438,0.011081876,0.011580009,0.0005158973,0.00001512971],"about_ca_topic_score_codex":0.0018477751,"about_ca_topic_score_gemma":0.0009637149,"teacher_disagreement_score":0.0021804317,"about_ca_system_score_codex":0.00073551363,"about_ca_system_score_gemma":0.00060744747,"threshold_uncertainty_score":0.008348227},"labels":[],"label_agreement":null},{"id":"W2088577305","doi":"10.1155/2008/341720","title":"Parameterized Regulator Synthesis for Bimodal Linear Systems Based on Bilinear Matrix Inequalities","year":2008,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Regulator; Parameterized complexity; Control theory (sociology); Controller (irrigation); Linear system; Bilinear interpolation; Mathematics; Linear regulator; Computer science; Control (management); Algorithm","score_opus":0.02933687243816828,"score_gpt":0.2311371854324299,"score_spread":0.2018003129942616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088577305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033648252,0.00011168995,0.9944917,0.00003621249,0.000016916361,0.000022286178,0.000015013859,0.00012918124,0.0018121646],"genre_scores_gemma":[0.7454668,0.00059384125,0.24904625,0.00008565128,0.000058035414,0.000368419,0.00013869627,0.00007205836,0.0041701803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957746,0.00013883818,0.000021455979,0.00008207491,0.00014414187,0.00003605231],"domain_scores_gemma":[0.9995146,0.00025257983,0.000076378456,0.000044105287,0.00009850549,0.000013827521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067782827,0.0006383026,0.0005478927,0.00027518175,0.0002320992,0.0007382284,0.0006246661,0.000495019,0.0026703125],"category_scores_gemma":[0.0013595917,0.0002788688,0.00051289913,0.00030275134,0.00043146574,0.0006041543,0.0007266132,0.0009363403,0.00037261352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010655513,0.000076884084,0.00028973803,0.00042308637,0.000042477244,0.00021210506,0.0003472873,0.66141284,0.10433893,0.11782651,0.0015543762,0.113369174],"study_design_scores_gemma":[0.000016859783,0.00009660164,0.000056612567,0.00001648076,0.000009134478,0.00003502796,0.000019492558,0.98281,0.0057714595,0.00836102,0.0027957025,0.000011515392],"about_ca_topic_score_codex":0.00068940094,"about_ca_topic_score_gemma":0.00069990987,"teacher_disagreement_score":0.0026703125,"about_ca_system_score_codex":0.0004133061,"about_ca_system_score_gemma":0.00056749827,"threshold_uncertainty_score":0.008933127},"labels":[],"label_agreement":null},{"id":"W2088591343","doi":"10.1155/2014/137253","title":"Critical Layer Analysis of Stuart Vortices in a Plane Jet","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Vortex; Inviscid flow; Jet (fluid); Plane (geometry); Physics; Amplitude; Tourbillon; Steady state (chemistry); Nonlinear system; Mechanics; Classical mechanics; Mathematics; Geometry; Optics; Quantum mechanics; Chemistry","score_opus":0.008935776349522364,"score_gpt":0.2193714414646037,"score_spread":0.21043566511508133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088591343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76356965,0.0016737173,0.21634872,0.00017887987,0.00007482767,0.00007360129,0.00008261747,0.00024676902,0.017751357],"genre_scores_gemma":[0.98797613,0.00034867812,0.008282998,0.00001886031,0.000025592135,0.000018792085,0.000037359125,0.000025536501,0.0032660002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994266,0.000013352377,0.000003410018,0.000007619638,0.000019017012,0.00001389429],"domain_scores_gemma":[0.9998479,0.00003683872,0.00003805921,0.000008861028,0.00004763776,0.000020735026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019464454,0.0003345046,0.00022984788,0.0010219169,0.00031310768,0.0008085835,0.00027165818,0.00028809538,0.0008088887],"category_scores_gemma":[0.00057354884,0.00012472375,0.00027502127,0.0002399013,0.0007217767,0.00065929507,0.00040705284,0.0003452634,0.00012890113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044447446,0.00011078279,0.0055997344,0.00016411372,0.00009053933,0.00090233504,0.00043317865,0.40529642,0.15262538,0.3924156,0.0018459476,0.040071495],"study_design_scores_gemma":[0.000009668721,0.000040372564,0.0013115513,0.000009627939,0.000007240411,0.00006650714,0.000030771003,0.9808202,0.004259287,0.012860769,0.00057263236,0.000011270574],"about_ca_topic_score_codex":0.0019617502,"about_ca_topic_score_gemma":0.00062563317,"teacher_disagreement_score":0.0019617502,"about_ca_system_score_codex":0.00043234866,"about_ca_system_score_gemma":0.00028926233,"threshold_uncertainty_score":0.0039007068},"labels":[],"label_agreement":null},{"id":"W2090035883","doi":"10.1155/2014/763469","title":"Robust Missing Traffic Flow Imputation Considering Nonnegativity and Road Capacity","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"National Key Research and Development Program of China; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Imputation (statistics); Missing data; Outlier; Data mining; Computer science; Traffic flow (computer networking); Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Machine learning","score_opus":0.017851016373866952,"score_gpt":0.19202022552383605,"score_spread":0.17416920914996908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090035883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008797232,0.00012106623,0.99031574,0.00011074795,0.000034718418,0.000020555706,0.00013720065,0.00025285457,0.00020991989],"genre_scores_gemma":[0.52092516,0.00050274504,0.4728708,0.00020127493,0.00027879784,0.00022817912,0.0025799987,0.00018142407,0.0022316307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958983,0.0016546597,0.00021139253,0.0011442807,0.00072723837,0.0003639871],"domain_scores_gemma":[0.98955697,0.005349976,0.0012345295,0.0018581132,0.0016812464,0.00031919073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007107919,0.0012585052,0.0026510074,0.001719059,0.0011340075,0.001704093,0.0038025193,0.0018186313,0.0012658667],"category_scores_gemma":[0.018352183,0.0008811929,0.0021773735,0.0027488063,0.0012009311,0.003186166,0.0018386914,0.0035474692,0.00052048004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004527071,0.00023152491,0.0093902275,0.00039062102,0.00040119395,0.0004303009,0.0003180603,0.7796464,0.0039656432,0.027332297,0.00464456,0.17279646],"study_design_scores_gemma":[0.0000134756665,0.000041838033,0.000731852,0.000015686854,0.00002334632,0.00007866754,0.000036805915,0.9836428,0.0013263436,0.013305474,0.0007579589,0.000025840936],"about_ca_topic_score_codex":0.005268156,"about_ca_topic_score_gemma":0.0031470382,"teacher_disagreement_score":0.007107919,"about_ca_system_score_codex":0.00077586697,"about_ca_system_score_gemma":0.002583337,"threshold_uncertainty_score":0.037590683},"labels":[],"label_agreement":null},{"id":"W2090646188","doi":"10.1155/2015/923692","title":"A Reliability-Oriented Local-Area Model for Large-Scale Wireless Sensor Networks","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Algorithm; Reliability (semiconductor); Computer science; Scale (ratio); Wireless sensor network; Machine learning; Artificial intelligence; Power (physics); Physics; Thermodynamics","score_opus":0.017496681062759957,"score_gpt":0.22112748216121,"score_spread":0.20363080109845005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090646188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006333961,0.0004971561,0.98911077,0.0005314129,0.00007710241,0.0000531293,0.00018761698,0.00031293588,0.002895916],"genre_scores_gemma":[0.7500291,0.0029022421,0.2307873,0.0005168711,0.0005180456,0.00079268456,0.00089392316,0.00027340837,0.013286507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878174,0.00037936345,0.00006744458,0.00026374208,0.00039351534,0.000114231305],"domain_scores_gemma":[0.9978529,0.0009795818,0.00038147415,0.00026260247,0.00039701475,0.00012638749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016317359,0.0011078829,0.0008551739,0.0008985941,0.000506691,0.0014914903,0.002770079,0.0014772149,0.0018484956],"category_scores_gemma":[0.005360034,0.00047008783,0.0012104282,0.0012491768,0.0012289762,0.0031784761,0.0012178377,0.0018581713,0.00085190486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057424008,0.000044380733,0.0006790323,0.00013439808,0.00004039382,0.00020052603,0.00018218812,0.7715126,0.0026407037,0.20895788,0.0027427028,0.012807696],"study_design_scores_gemma":[0.000010437616,0.000037053967,0.000099390105,0.000008508704,0.00001505708,0.000058818376,0.000017181399,0.9540014,0.00019950542,0.043476906,0.0020635454,0.000012148422],"about_ca_topic_score_codex":0.004054881,"about_ca_topic_score_gemma":0.002635666,"teacher_disagreement_score":0.004054881,"about_ca_system_score_codex":0.0011436265,"about_ca_system_score_gemma":0.0010600818,"threshold_uncertainty_score":0.0086295605},"labels":[],"label_agreement":null},{"id":"W2091196392","doi":"10.1155/2009/696253","title":"Improving Accuracy of Coarse Grid Numerical Solution of Solid‐Solid Reactions by Taylor Series Expansion of the Reaction Term","year":2009,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Ingenuity","keywords":"Taylor series; Exothermic reaction; Series (stratigraphy); Scale (ratio); Term (time); Grid; Solid solution; Materials science; Mathematics; Geometry; Thermodynamics; Mathematical analysis; Physics; Geology; Metallurgy","score_opus":0.013912380122290659,"score_gpt":0.2443936637939808,"score_spread":0.23048128367169016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091196392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06436765,0.00035787607,0.92373645,0.00034819276,0.00017886492,0.00007591899,0.000055178964,0.0006729691,0.01020683],"genre_scores_gemma":[0.6154198,0.00060467183,0.37773424,0.00009549376,0.00007110666,0.00012262564,0.000105877705,0.00033290475,0.0055133444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970716,0.00006632268,0.000024134193,0.000027469323,0.00014919945,0.000025571235],"domain_scores_gemma":[0.99909747,0.00048674352,0.0000770711,0.00016795982,0.00014937103,0.00002141649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008510274,0.00059156655,0.0006305685,0.00040048696,0.00045517206,0.00073688064,0.0007484176,0.00071573193,0.0023283605],"category_scores_gemma":[0.002507174,0.00028912944,0.0005670713,0.0003524218,0.0008678632,0.0010403948,0.0007658807,0.0010756103,0.0006403597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006143135,0.00009113864,0.0010752581,0.00021458665,0.000025894547,0.000180595,0.00017838992,0.799023,0.09247271,0.050119687,0.00131928,0.05523815],"study_design_scores_gemma":[0.0000059568893,0.000011361655,0.000053123058,0.000003951204,0.000003282674,0.0000130125945,0.0000048867223,0.9892379,0.007722007,0.0020835595,0.00085667375,0.000004287396],"about_ca_topic_score_codex":0.0026097454,"about_ca_topic_score_gemma":0.0025486653,"teacher_disagreement_score":0.0026097454,"about_ca_system_score_codex":0.00068422384,"about_ca_system_score_gemma":0.0010355184,"threshold_uncertainty_score":0.007789135},"labels":[],"label_agreement":null},{"id":"W2093134946","doi":"10.1155/2010/191053","title":"Asymptotic Method of Solution for a Problem of Construction of Optimal Gas‐Lift Process Modes","year":2010,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Lift (data mining); Gas lift; Process (computing); Mathematical optimization; Computer science; Structural engineering; Mathematics; Engineering; Petroleum engineering","score_opus":0.005909306747604143,"score_gpt":0.23321811069139547,"score_spread":0.22730880394379133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093134946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030485762,0.00036196696,0.99208575,0.00015647459,0.000064331296,0.000042158408,0.000020946913,0.0000565462,0.0041632275],"genre_scores_gemma":[0.41884115,0.0019736774,0.55709916,0.0002815026,0.00039861124,0.001445424,0.00025016963,0.00036272485,0.01934758],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952817,0.00025313476,0.000017761364,0.000039014994,0.00013176745,0.000030129537],"domain_scores_gemma":[0.9990446,0.0006100985,0.00007190551,0.00004519627,0.00018679189,0.000041414587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001665549,0.0009259542,0.0008777062,0.0010174772,0.0005719894,0.0007456459,0.0009523514,0.0016425553,0.004409542],"category_scores_gemma":[0.0038800878,0.00031964394,0.00094651466,0.00059160456,0.001230032,0.0008163654,0.0017851314,0.0021522269,0.00070701947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011546191,0.00009243192,0.0006197043,0.0006217762,0.00008108907,0.0002021596,0.00033263466,0.45789742,0.008966654,0.46653643,0.0037994122,0.06073479],"study_design_scores_gemma":[0.000011286199,0.000047087222,0.00007976563,0.000026488358,0.000008319042,0.000041401247,0.000021090345,0.959598,0.00050494244,0.036737297,0.0029137516,0.000010554473],"about_ca_topic_score_codex":0.0016755076,"about_ca_topic_score_gemma":0.0012136798,"teacher_disagreement_score":0.004409542,"about_ca_system_score_codex":0.0007790163,"about_ca_system_score_gemma":0.0011451958,"threshold_uncertainty_score":0.014751434},"labels":[],"label_agreement":null},{"id":"W2093672477","doi":"10.1155/s1024123x03206013","title":"Stability and stabilizability of dynamicalsystems with multiple time‐varying delays:delay‐dependent criteria","year":2003,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Stability (learning theory); Control theory (sociology); Mathematics; Computer science; Control (management); Artificial intelligence; Machine learning","score_opus":0.01972064906980718,"score_gpt":0.2474466757771308,"score_spread":0.22772602670732361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093672477","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085622005,0.0015925168,0.90493715,0.0006482734,0.0001032003,0.000087156004,0.00011128049,0.00023075978,0.0066676186],"genre_scores_gemma":[0.98157436,0.0006025123,0.015546667,0.00005508054,0.00012055849,0.00016607982,0.00007536275,0.000027253378,0.0018321604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991234,0.00021005177,0.00007571533,0.00020903879,0.00029910862,0.000082679486],"domain_scores_gemma":[0.99569833,0.002457452,0.0009266997,0.00012913339,0.0006771238,0.0001112673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012884733,0.0012973777,0.00060551276,0.0009820706,0.0004918362,0.0014730575,0.0007012639,0.0010172771,0.0018563714],"category_scores_gemma":[0.004637719,0.00032482736,0.0004369404,0.0006022694,0.0012717339,0.0014989967,0.0012070966,0.0009303471,0.00022182654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051482726,0.00009871288,0.0018235943,0.00063594274,0.00016401851,0.0009064896,0.0004406059,0.75548136,0.06487921,0.09742212,0.001148437,0.07648471],"study_design_scores_gemma":[0.000060758022,0.000314488,0.0009256478,0.000039658087,0.00003900923,0.00013051217,0.000077639874,0.9449923,0.012184498,0.038981143,0.0022167398,0.00003763302],"about_ca_topic_score_codex":0.0015619575,"about_ca_topic_score_gemma":0.0008571237,"teacher_disagreement_score":0.0018563714,"about_ca_system_score_codex":0.00081850623,"about_ca_system_score_gemma":0.000618888,"threshold_uncertainty_score":0.006814182},"labels":[],"label_agreement":null},{"id":"W2095142844","doi":"10.1155/mpe.2005.477","title":"Suboptimal feedback control of TCP flows in computer network using random early discard (RED) mechanism","year":2005,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Random early detection; Active queue management; Queue; Router; Network congestion; Computer science; Transmission (telecommunications); Control theory (sociology); Process (computing); Dynamic programming; Mathematical optimization; Control (management); Mathematics; Computer network; Algorithm; Telecommunications","score_opus":0.008434004762839972,"score_gpt":0.19270160968304523,"score_spread":0.18426760492020525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095142844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3077413,0.00044286335,0.68709713,0.00049494865,0.000074123476,0.000057911806,0.0000393499,0.00034935016,0.0037030422],"genre_scores_gemma":[0.99451506,0.00007185033,0.004878594,0.000022326565,0.0000079075735,0.00002226484,0.0000064815517,0.000005535955,0.00046997855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955004,0.00018504886,0.000016922604,0.00008654079,0.000077515055,0.00008388462],"domain_scores_gemma":[0.998998,0.00048614864,0.00024654935,0.000049744784,0.0001561619,0.000063458814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095054606,0.00057256484,0.000687743,0.00030737158,0.00037817578,0.000807945,0.0007764165,0.00071711553,0.0004736037],"category_scores_gemma":[0.0022576582,0.00030515977,0.00032756088,0.00023434934,0.0010733989,0.00054713886,0.0006661888,0.000525973,0.00005123566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050852188,0.000021748807,0.0002970002,0.00002338122,0.000015326103,0.000059065056,0.000033307882,0.9884692,0.0026084473,0.0055518355,0.00014574963,0.0027241432],"study_design_scores_gemma":[0.000010021541,0.00002316876,0.00005181666,0.0000011275706,0.0000041707967,0.00000353532,0.0000020899145,0.99896395,0.00017284183,0.0007263531,0.00003831467,0.0000025364968],"about_ca_topic_score_codex":0.0103408415,"about_ca_topic_score_gemma":0.0046217022,"teacher_disagreement_score":0.0103408415,"about_ca_system_score_codex":0.0011890637,"about_ca_system_score_gemma":0.00090580113,"threshold_uncertainty_score":0.020561278},"labels":[],"label_agreement":null},{"id":"W2096691748","doi":"10.1155/2013/972358","title":"Scheduling with Learning Effects and/or Time-Dependent Processing Times to Minimize the Weighted Number of Tardy Jobs on a Single Machine","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Single-machine scheduling; Scheduling (production processes); Learning effect; Computer science; Due date; Mathematical optimization; Response time; Job shop scheduling; Mathematics; Schedule","score_opus":0.005597428197517109,"score_gpt":0.19912287874309761,"score_spread":0.1935254505455805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096691748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24509679,0.0004341462,0.75156784,0.0003121317,0.000100732905,0.0001253994,0.00010986738,0.0002282357,0.0020248648],"genre_scores_gemma":[0.85009223,0.00032501432,0.14646098,0.000069588714,0.00011768214,0.00012375186,0.0001265385,0.000104219835,0.0025800883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999469,0.00012879264,0.000030890722,0.00014049155,0.00012177989,0.000109110966],"domain_scores_gemma":[0.99854773,0.000745395,0.00031539323,0.000099643374,0.00013964812,0.00015212127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011688031,0.0010176222,0.0018195775,0.0006352467,0.00048315566,0.00065401715,0.0012551023,0.0007162089,0.0018571279],"category_scores_gemma":[0.0024381191,0.000525536,0.0008169323,0.0010527004,0.0006774812,0.0009521581,0.0005105102,0.00087251427,0.00023254156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109378154,0.00008739894,0.00023511857,0.000091289825,0.000027625973,0.000053292013,0.00002011821,0.98265195,0.0037469221,0.0020334462,0.0002741581,0.010669306],"study_design_scores_gemma":[0.000016945225,0.000049141567,0.00012527766,0.000002440281,0.000008125261,0.000015071265,0.0000042298707,0.9953111,0.001172377,0.0032044465,0.00008659394,0.0000041660805],"about_ca_topic_score_codex":0.0027929966,"about_ca_topic_score_gemma":0.0023688076,"teacher_disagreement_score":0.0027929966,"about_ca_system_score_codex":0.0007962105,"about_ca_system_score_gemma":0.0013390821,"threshold_uncertainty_score":0.0062127113},"labels":[],"label_agreement":null},{"id":"W2109882695","doi":"10.1155/2015/136102","title":"Temporal-Spatial Analysis of Traffic Congestion Based on Modified CTM","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Central University of Finance and Economics; National Natural Science Foundation of China","keywords":"Cell Transmission Model; Traffic flow (computer networking); Traffic congestion; Computer science; Occupancy; Piecewise; Adaptability; Geography; Transport engineering; Mathematics; Engineering; Computer network; Civil engineering; Ecology","score_opus":0.018155785965928734,"score_gpt":0.2080736186689894,"score_spread":0.18991783270306067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109882695","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3609602,0.0003353915,0.6331541,0.00021373735,0.000058425914,0.000039191316,0.00046363348,0.0003154867,0.0044598067],"genre_scores_gemma":[0.99201727,0.00009831357,0.0067667756,0.000009473456,0.000011280389,0.000023073084,0.00009371793,0.000013980766,0.0009661303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998307,0.000045365712,0.0000072398752,0.000041121766,0.00003990074,0.000035527602],"domain_scores_gemma":[0.99958783,0.00013069596,0.00010843056,0.000033068063,0.00010319437,0.00003674543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003091985,0.00044016232,0.00033277684,0.0007015648,0.00022214549,0.00048260126,0.0010067084,0.0004438336,0.0009784778],"category_scores_gemma":[0.0014514219,0.00016524844,0.00047668192,0.00086190534,0.00040742627,0.00062616105,0.00037090303,0.00044937732,0.00008828246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015402382,0.000007386812,0.0018625718,0.000010117819,0.000010336284,0.000049851926,0.000022601185,0.987817,0.0013046409,0.006051458,0.00020720984,0.0026415715],"study_design_scores_gemma":[3.2375777e-7,0.0000019781887,0.00019718507,4.6595605e-7,0.0000011268704,0.000004711387,0.0000019080999,0.99950576,0.000038984363,0.00020710294,0.000038929567,0.0000015449126],"about_ca_topic_score_codex":0.040468067,"about_ca_topic_score_gemma":0.012637342,"teacher_disagreement_score":0.040468067,"about_ca_system_score_codex":0.0010107085,"about_ca_system_score_gemma":0.0005885232,"threshold_uncertainty_score":0.08046502},"labels":[],"label_agreement":null},{"id":"W2110616735","doi":"10.1155/2015/105245","title":"Modeling Routing Overhead of Reactive Protocols at Link Layer and Network Layer in Wireless Multihop Networks","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"","keywords":"Computer network; Computer science; Routing protocol; Distance-vector routing protocol; Dynamic Source Routing; Flooding (psychology); Link-state routing protocol; Link layer; Ad hoc On-Demand Distance Vector Routing; Network packet; Network layer; Zone Routing Protocol; Distributed computing; Layer (electronics)","score_opus":0.037764749594988226,"score_gpt":0.26534628245159453,"score_spread":0.22758153285660632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110616735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32377854,0.0021334721,0.657721,0.0008458623,0.00020612185,0.00016867837,0.00020028262,0.00042424118,0.014521867],"genre_scores_gemma":[0.9752813,0.0006690819,0.02159468,0.000056621993,0.000043727472,0.000117990334,0.00006304363,0.000052507603,0.002121058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992717,0.00025443805,0.00003272967,0.00008629207,0.00026150158,0.00009339638],"domain_scores_gemma":[0.9975642,0.0017213314,0.0003149702,0.00016479017,0.00019535827,0.000039322553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011854464,0.00076039013,0.0003128099,0.00075328717,0.00036900907,0.00078530586,0.0013503142,0.0008535843,0.0008653129],"category_scores_gemma":[0.004699931,0.00030484863,0.00033584714,0.0005924634,0.0005042434,0.0015989578,0.00046866323,0.00055766955,0.00015938141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046393223,0.000044194567,0.00081212487,0.0000407461,0.000013920927,0.000053686515,0.000044100547,0.9780993,0.0020650274,0.012264006,0.00018185381,0.006334635],"study_design_scores_gemma":[0.0000034562024,0.000024861434,0.00021018178,0.0000043447917,0.000008719381,0.00001745659,0.000009854672,0.9969759,0.00041135898,0.0021209468,0.00020894449,0.000003968318],"about_ca_topic_score_codex":0.002837544,"about_ca_topic_score_gemma":0.0020222361,"teacher_disagreement_score":0.002837544,"about_ca_system_score_codex":0.0013119945,"about_ca_system_score_gemma":0.0005883028,"threshold_uncertainty_score":0.00951916},"labels":[],"label_agreement":null},{"id":"W2131846481","doi":"10.1155/2013/874805","title":"A Hybrid Stochastic-Interval Analytic Hierarchy Process Approach for Prioritizing the Strategies of Reusing Treated Wastewater","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; United Nations Development Programme; United Nations","keywords":"Reuse; Landscaping; Analytic hierarchy process; Interval (graph theory); Process (computing); Computer science; Lexicographical order; Operations research; Engineering; Mathematics; Waste management","score_opus":0.08914447505457057,"score_gpt":0.35284219344159556,"score_spread":0.263697718387025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131846481","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065806746,0.00016579541,0.99163604,0.00011783179,0.000015840651,0.00005605901,0.000029284254,0.00006108277,0.001337405],"genre_scores_gemma":[0.4126498,0.0004528363,0.5853835,0.00009442496,0.000059494323,0.0003584875,0.00012642001,0.000027451964,0.00084752945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966949,0.001676604,0.0001742233,0.00022641255,0.0010836166,0.00014423192],"domain_scores_gemma":[0.9981811,0.0011678645,0.00019409957,0.0000581661,0.00032130233,0.000077581986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003609052,0.0010493781,0.0012659577,0.0026391714,0.00059009006,0.0015903481,0.0017381172,0.0009630669,0.0011819736],"category_scores_gemma":[0.0052197296,0.0005035513,0.0014892302,0.0019095952,0.0006712401,0.0013703698,0.0012431156,0.00094457984,0.0001672137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006475415,0.000101423655,0.0010868129,0.00038734212,0.00021017513,0.00014278931,0.0003695236,0.85260165,0.0024405553,0.046594925,0.0006721558,0.0953278],"study_design_scores_gemma":[0.000013209742,0.000075378724,0.00015691647,0.000020867117,0.000028969882,0.000027082873,0.000051756913,0.980149,0.00034443507,0.018365506,0.0007505589,0.000016383336],"about_ca_topic_score_codex":0.0043388726,"about_ca_topic_score_gemma":0.004246651,"teacher_disagreement_score":0.0043388726,"about_ca_system_score_codex":0.001274625,"about_ca_system_score_gemma":0.0023890168,"threshold_uncertainty_score":0.019086719},"labels":[],"label_agreement":null},{"id":"W2132226179","doi":"10.1155/2013/780354","title":"RSW-MCFP: A Resource-Oriented Solid Waste Management System for a Mixed Rural-Urban Area through Monte Carlo Simulation-Based Fuzzy Programming","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China; United Nations Development Programme","keywords":"Dispose pattern; Municipal solid waste; Fuzzy logic; Population; Resource (disambiguation); Waste management; Environmental economics; Business; Computer science; Engineering; Economics","score_opus":0.012972199488078175,"score_gpt":0.2227957339788043,"score_spread":0.20982353449072613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132226179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074868225,0.0000813591,0.91893256,0.00013634238,0.000024012648,0.00016262893,0.00011768578,0.0012153791,0.0044618417],"genre_scores_gemma":[0.8169133,0.0000877067,0.17993648,0.00004330243,0.000008819112,0.00026050583,0.00010017452,0.000044130058,0.0026056084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979573,0.000063187545,0.000010497004,0.000038390368,0.00006476865,0.000027539752],"domain_scores_gemma":[0.9997973,0.00008537864,0.000030370373,0.000012872091,0.000054680277,0.000019412159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004625339,0.00053474,0.0005225836,0.00040318375,0.000573157,0.00071903534,0.00080332236,0.0008300964,0.001828023],"category_scores_gemma":[0.0006191178,0.0003202772,0.00055675127,0.00035932052,0.00034216148,0.00050414127,0.0005706213,0.00044000146,0.00021808087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038592138,0.0000481679,0.00038600623,0.000025548648,0.000014577575,0.000047014735,0.00002296868,0.9820549,0.002476096,0.0015063271,0.00021033379,0.013169428],"study_design_scores_gemma":[0.0000041924445,0.0000135858,0.000040208008,0.0000015103122,0.00000272105,0.0000050599333,0.0000028855636,0.99909866,0.00043443765,0.00021959833,0.00017450961,0.0000026578998],"about_ca_topic_score_codex":0.010020484,"about_ca_topic_score_gemma":0.008657235,"teacher_disagreement_score":0.010020484,"about_ca_system_score_codex":0.0007303481,"about_ca_system_score_gemma":0.001367279,"threshold_uncertainty_score":0.019924343},"labels":[],"label_agreement":null},{"id":"W2133135235","doi":"10.1155/2013/384246","title":"Numerical Solution of a Moving Boundary Problem of One-Dimensional Flow in Semi-Infinite Long Porous Media with Threshold Pressure Gradient","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Program for Changjiang Scholars and Innovative Research Team in University; China Scholarship Council; National Natural Science Foundation of China","keywords":"Porous medium; Discretization; Dimensionless quantity; Mathematics; Boundary value problem; Partial differential equation; Flow (mathematics); Mathematical analysis; Boundary (topology); Finite difference method; Pressure gradient; Boundary problem; Mechanics; Geometry; Physics; Materials science; Porosity","score_opus":0.007121036400073233,"score_gpt":0.18356615199506657,"score_spread":0.17644511559499335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133135235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035759043,0.00025833835,0.9607141,0.00017088187,0.00006245144,0.000045971225,0.00002662174,0.00014901768,0.0028136242],"genre_scores_gemma":[0.50314957,0.00036650087,0.4928842,0.00006657122,0.00003742714,0.0002779824,0.000081266604,0.000055374003,0.0030811634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998029,0.00005456109,0.000014540905,0.00003112004,0.00007374157,0.000023125544],"domain_scores_gemma":[0.9995504,0.00025959907,0.0000536617,0.000033129134,0.00006942923,0.00003376654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058918854,0.00037716678,0.0006420825,0.0004233727,0.0005639145,0.00056369574,0.0008389661,0.0014198911,0.0012813726],"category_scores_gemma":[0.0011379952,0.00027860145,0.0005026097,0.0003674438,0.0011516014,0.00069686625,0.00064338295,0.0007150117,0.00017134169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058191228,0.00005974598,0.0010545249,0.00027007924,0.000024029354,0.0003286789,0.00020226864,0.8972118,0.034473665,0.041553486,0.00053469447,0.024228826],"study_design_scores_gemma":[0.000008874453,0.000015288226,0.00006889073,0.000007883074,0.0000022795502,0.000034631386,0.000011213011,0.9963588,0.0014219275,0.0015935398,0.00047035486,0.00000621917],"about_ca_topic_score_codex":0.002116791,"about_ca_topic_score_gemma":0.0010670841,"teacher_disagreement_score":0.002116791,"about_ca_system_score_codex":0.0004856345,"about_ca_system_score_gemma":0.0010762956,"threshold_uncertainty_score":0.004286647},"labels":[],"label_agreement":null},{"id":"W2134740088","doi":"10.1155/2012/264295","title":"Research on the Behavior Characteristics of Pedestrian Crowd Weaving Flow in Transport Terminal","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"National Key Research and Development Program of China; Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China","keywords":"Weaving; Pedestrian; Stairs; Terminal (telecommunication); Transport engineering; Computer science; GRASP; Engineering; Simulation; Architectural engineering; Civil engineering; Telecommunications; Mechanical engineering","score_opus":0.04835567970022424,"score_gpt":0.29524435001702887,"score_spread":0.24688867031680461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134740088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98893166,0.00010983481,0.0096303485,0.000053420637,0.000005612566,0.000012204402,0.000055100936,0.000018827237,0.0011829239],"genre_scores_gemma":[0.99860805,0.0000949319,0.0009072705,0.0000036098588,0.0000035881255,0.0000056926992,0.000053996453,0.0000018453221,0.0003210069],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998109,0.00004539736,0.000010583652,0.000052747702,0.00004298549,0.000037313053],"domain_scores_gemma":[0.99943537,0.00019428991,0.00013129711,0.000025527057,0.0001550062,0.000058455254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032353797,0.00020045506,0.0002121793,0.00093236315,0.00037149273,0.00035274922,0.0002357336,0.00024618895,0.0004905431],"category_scores_gemma":[0.0015266315,0.000108550215,0.00023130723,0.0006806646,0.00026515318,0.00072483614,0.00022206186,0.00019777381,0.00006104185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036314595,0.00033118087,0.6762224,0.0004196684,0.0001548808,0.0017464402,0.004881649,0.15553536,0.047765024,0.01535227,0.001852962,0.09537502],"study_design_scores_gemma":[0.000009223311,0.00024271598,0.43528235,0.000039994375,0.000075791395,0.00063905225,0.00400515,0.545223,0.008597875,0.0039405013,0.0018648686,0.00007943719],"about_ca_topic_score_codex":0.005027925,"about_ca_topic_score_gemma":0.0031873095,"teacher_disagreement_score":0.005027925,"about_ca_system_score_codex":0.0004088158,"about_ca_system_score_gemma":0.00026232685,"threshold_uncertainty_score":0.009997308},"labels":[],"label_agreement":null},{"id":"W2135118236","doi":"10.1155/2014/642949","title":"Optimizing Gear Shifting Strategy for Off‐Road Vehicle with Dynamic Programming","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; University of Waterloo","keywords":"Dynamic programming; Fuel efficiency; Schedule; Automotive engineering; Computer science; Engineering; Algorithm","score_opus":0.010209715066898951,"score_gpt":0.21215383989496137,"score_spread":0.20194412482806243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135118236","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08959682,0.00027149954,0.89917743,0.00011090784,0.000032051095,0.00006409311,0.000034069508,0.00012121304,0.010591872],"genre_scores_gemma":[0.9505058,0.00025123483,0.045092516,0.000028257045,0.000013658391,0.00011288135,0.000049628426,0.000037357328,0.0039085923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998399,0.000038411254,0.00000580924,0.000031778218,0.000047981433,0.000036016274],"domain_scores_gemma":[0.9998989,0.00004161156,0.00001796985,0.0000055525907,0.00002707362,0.000008850467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026595502,0.0006681319,0.0006151004,0.00040317283,0.00029226116,0.00064166856,0.0005061515,0.0004057921,0.0012812013],"category_scores_gemma":[0.00046573044,0.0003126075,0.00040328564,0.0003171757,0.00032747377,0.00045098897,0.0004779377,0.00039489547,0.00017236007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026344109,0.000031699485,0.00032770223,0.000045834222,0.000011049787,0.000055397617,0.000030606716,0.9747263,0.003652291,0.0040107537,0.00031513162,0.016766766],"study_design_scores_gemma":[0.0000037081556,0.00002409024,0.00008183923,0.0000017382014,0.0000033778183,0.0000068705513,0.000008035315,0.99825007,0.0004134217,0.000998876,0.00020577972,0.0000022173028],"about_ca_topic_score_codex":0.0050118584,"about_ca_topic_score_gemma":0.0026287532,"teacher_disagreement_score":0.0050118584,"about_ca_system_score_codex":0.0004920665,"about_ca_system_score_gemma":0.00070815807,"threshold_uncertainty_score":0.00996536},"labels":[],"label_agreement":null},{"id":"W2137846206","doi":"10.1155/2014/957652","title":"Regularity and Chaos in the Hydrogen Atom Highly Excited with a Strong Magnetic Field","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Quantum chaos and dynamical systems","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Diamagnetism; Hydrogen atom; Excited state; Atomic physics; Magnetic field; Physics; Spectral line; Energy (signal processing); Atom (system on chip); Nucleus; Hydrogen; Field (mathematics); Recoil; Quantum mechanics; Mathematics","score_opus":0.004931189523687448,"score_gpt":0.18370345322297088,"score_spread":0.17877226369928342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137846206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820327,0.000182313,0.011393184,0.00031586477,0.000025157144,0.000010705733,0.000027333066,0.000109031454,0.0059037483],"genre_scores_gemma":[0.997929,0.00005262789,0.0015783482,0.00001577616,0.000011187624,0.0000072950693,0.000021240809,0.000016520193,0.00036804524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999291,0.000026951197,0.0000021960022,0.0000054226803,0.000018700977,0.000017643179],"domain_scores_gemma":[0.99976534,0.000110305984,0.000036961796,0.000021119087,0.00002687364,0.00003944391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017601105,0.0002222974,0.00028806378,0.0004306823,0.0005950304,0.00043473096,0.00045778198,0.0004606164,0.0010446894],"category_scores_gemma":[0.00074850826,0.00018022019,0.0002680948,0.00028187037,0.0011471682,0.0004966619,0.00056804396,0.00040411094,0.00006577558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006176899,0.00016892454,0.0074719824,0.00027916787,0.00011150174,0.0014368873,0.0005919579,0.5758567,0.059550818,0.34272367,0.0018532051,0.0093374215],"study_design_scores_gemma":[0.00003573803,0.00006622453,0.002414186,0.0000063433627,0.000008613514,0.000079740086,0.00006928448,0.9650808,0.002284898,0.029644223,0.00029306876,0.000016863927],"about_ca_topic_score_codex":0.0009765704,"about_ca_topic_score_gemma":0.000598211,"teacher_disagreement_score":0.0010446894,"about_ca_system_score_codex":0.00035860413,"about_ca_system_score_gemma":0.00022523565,"threshold_uncertainty_score":0.0034948587},"labels":[],"label_agreement":null},{"id":"W2141901926","doi":"10.1155/2009/759363","title":"Double Hopf Bifurcation with Strong Resonances in Delayed Systems with Nonlinerities","year":2009,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Program of Shanghai Subject Chief Scientist; Research Grants Council, University Grants Committee; National Natural Science Foundation of China; City University of Hong Kong","keywords":"Codimension; Hopf bifurcation; Mathematics; Bifurcation diagram; Biological applications of bifurcation theory; Bifurcation; Transcritical bifurcation; Bogdanov–Takens bifurcation; Saddle-node bifurcation; Nonlinear system; Mathematical analysis; Period-doubling bifurcation; Consistency (knowledge bases); Control theory (sociology); Physics; Geometry; Computer science; Quantum mechanics","score_opus":0.010385767267050245,"score_gpt":0.20786614617236837,"score_spread":0.19748037890531814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141901926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24064834,0.00032537727,0.7558655,0.000074123,0.000033775,0.000063538595,0.000023418832,0.00014766924,0.002818274],"genre_scores_gemma":[0.86361545,0.00013192644,0.13466595,0.000014076112,0.000008648924,0.0000933675,0.000017752753,0.000014084545,0.001438781],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993896,0.000019788999,0.0000029652022,0.000011409432,0.000019673707,0.000007143565],"domain_scores_gemma":[0.9998902,0.000049491817,0.000020599762,0.000015681908,0.000013599962,0.000010379135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022563095,0.00034953558,0.00028486783,0.00032325214,0.00023725108,0.00019117811,0.000290014,0.00031044797,0.0006024193],"category_scores_gemma":[0.0003115572,0.00016086425,0.00023907177,0.00014480989,0.00041005775,0.00045140914,0.00041012676,0.00028872423,0.000086013446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020741721,0.000100719335,0.0030152013,0.0003608799,0.000074460884,0.0007983509,0.00059292483,0.30488852,0.4514391,0.17495966,0.00051956397,0.063043244],"study_design_scores_gemma":[0.00003138309,0.000105013234,0.00053513737,0.0000064576475,0.000008696132,0.00021498444,0.00003540256,0.9665744,0.016617218,0.014671792,0.0011818869,0.00001779526],"about_ca_topic_score_codex":0.00020796755,"about_ca_topic_score_gemma":0.00029121703,"teacher_disagreement_score":0.0006024193,"about_ca_system_score_codex":0.00025801233,"about_ca_system_score_gemma":0.0001620098,"threshold_uncertainty_score":0.0020152926},"labels":[],"label_agreement":null},{"id":"W2143172342","doi":"10.1155/2013/751030","title":"Mesh Partitioning Algorithm Based on Parallel Finite Element Analysis and Its Actualization","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Fonds Spéciaux de Recherche; China Institute of Water Resources and Hydropower Research; National Natural Science Foundation of China","keywords":"Computer science; Graph partition; Parallel computing; Graph; Preprocessor; Software; Finite element method; Domain decomposition methods; Key (lock); Algorithm; Decomposition; Theoretical computer science; Programming language; Engineering","score_opus":0.010271315962459305,"score_gpt":0.20675619929368114,"score_spread":0.19648488333122183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143172342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003850932,0.00008515232,0.99248403,0.00005087942,0.000029121453,0.000037068272,0.000016379834,0.00053230464,0.0029142208],"genre_scores_gemma":[0.102522455,0.00030581138,0.8926502,0.00006596045,0.000041674673,0.00021999149,0.00023773371,0.00028878808,0.003667396],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956185,0.00006325692,0.000028668497,0.00008409819,0.00023135309,0.000030635936],"domain_scores_gemma":[0.99972075,0.000073277886,0.000014850991,0.000053658514,0.00012949774,0.0000078193125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039810737,0.00042616724,0.00047215066,0.0009693118,0.0006175066,0.0005537112,0.00082850223,0.0004542018,0.0035547514],"category_scores_gemma":[0.0011751296,0.00028536908,0.00051858835,0.0007629436,0.0005280753,0.0010897424,0.000707698,0.0005612444,0.0008402222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013930337,0.000070185495,0.0013467314,0.00020177204,0.000033662687,0.00015480538,0.00031142234,0.20813237,0.04086321,0.10511675,0.005210299,0.6384195],"study_design_scores_gemma":[0.00003225919,0.00006002415,0.000342443,0.00002137306,0.00001718683,0.00022553526,0.00004917607,0.94232,0.014757049,0.023441179,0.018714843,0.00001896722],"about_ca_topic_score_codex":0.0021632295,"about_ca_topic_score_gemma":0.0013997902,"teacher_disagreement_score":0.0035547514,"about_ca_system_score_codex":0.0003987027,"about_ca_system_score_gemma":0.0006991329,"threshold_uncertainty_score":0.011891842},"labels":[],"label_agreement":null},{"id":"W2144551715","doi":"10.1155/mpe.2005.617","title":"Modelling and optimization of computer network traffic controllers","year":2005,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Traffic network; Control engineering; Engineering; Transport engineering","score_opus":0.009403635083881813,"score_gpt":0.18393983621034846,"score_spread":0.17453620112646664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144551715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064299114,0.00052951794,0.9181457,0.00047232542,0.000059305657,0.00012998281,0.00017623174,0.00029727866,0.015890501],"genre_scores_gemma":[0.9261211,0.0006413165,0.06619765,0.000068011854,0.00003161159,0.0004082607,0.00017464932,0.00007379301,0.0062836083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994593,0.00016056054,0.000018896448,0.00009671462,0.0001723084,0.00009214107],"domain_scores_gemma":[0.99939907,0.00034070676,0.00008848139,0.000033657718,0.00011153481,0.000026518026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063674565,0.0007853927,0.0005732455,0.00049333944,0.0004173838,0.0012930403,0.0008973329,0.0012208272,0.0015697291],"category_scores_gemma":[0.0021914868,0.00043390028,0.00044061028,0.0005784886,0.0011204953,0.0008263872,0.0005510818,0.0008277699,0.00021873202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004162549,0.0000043392897,0.000046160174,0.000005417806,0.0000020524153,0.0000063083094,0.000004483862,0.9933708,0.00027927017,0.0056276885,0.000049122307,0.00060031586],"study_design_scores_gemma":[0.0000027293192,0.0000032958724,0.000020047148,0.0000010203448,9.60773e-7,0.0000019162362,0.0000018055084,0.99768174,0.00010627337,0.0019891236,0.00018978857,0.0000012203035],"about_ca_topic_score_codex":0.011822632,"about_ca_topic_score_gemma":0.0051654247,"teacher_disagreement_score":0.011822632,"about_ca_system_score_codex":0.0017509992,"about_ca_system_score_gemma":0.001947923,"threshold_uncertainty_score":0.023507655},"labels":[],"label_agreement":null},{"id":"W2147655141","doi":"10.1155/2014/486576","title":"A Generalized Fuzzy Integer Programming Approach for Environmental Management under Uncertainty","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Ministry of Education, India","keywords":"Discretization; Mathematical optimization; Fuzzy logic; Fuzzy set; Function (biology); Integer programming; Linear programming; Integer (computer science); Mathematics; Computer science; Algorithm; Artificial intelligence","score_opus":0.00944996269157952,"score_gpt":0.18245519947792324,"score_spread":0.17300523678634372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147655141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011798303,0.00028427917,0.99596584,0.000114214155,0.000028981876,0.000028708138,0.000024983414,0.00003555589,0.0023375594],"genre_scores_gemma":[0.13109647,0.0014175654,0.8631095,0.00018650685,0.00015131985,0.00043296124,0.00011786891,0.00006933057,0.0034183827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889416,0.0005374635,0.00004880846,0.00013480587,0.00031698073,0.00006781323],"domain_scores_gemma":[0.9994273,0.00036379453,0.00005541481,0.000029740831,0.000103915256,0.000019868352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017303606,0.0014335786,0.001087818,0.00079879427,0.00053349754,0.0014207792,0.0015904352,0.0011582115,0.002405615],"category_scores_gemma":[0.0019791205,0.0004627297,0.0015797655,0.0013545597,0.00088971877,0.0012770869,0.0011367693,0.0021480261,0.00036521954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015204356,0.00002755459,0.00010843315,0.00014966642,0.00004772499,0.00007502296,0.000069975795,0.8727603,0.00077295385,0.09375851,0.0008282408,0.03138637],"study_design_scores_gemma":[0.000007001047,0.000021865582,0.000027418837,0.000022847658,0.000010263459,0.000018328381,0.00001799178,0.9621464,0.00022543831,0.035009313,0.002484864,0.000008203966],"about_ca_topic_score_codex":0.003434843,"about_ca_topic_score_gemma":0.0035535034,"teacher_disagreement_score":0.003434843,"about_ca_system_score_codex":0.0011714983,"about_ca_system_score_gemma":0.0020475306,"threshold_uncertainty_score":0.009151161},"labels":[],"label_agreement":null},{"id":"W2148038327","doi":"10.1155/2011/171834","title":"Linearizability of Systems of Ordinary Differential Equations Obtained by Complex Symmetry Analysis","year":2011,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Nonlinear Waves and Solitons","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Mathematics; Ordinary differential equation; Scalar (mathematics); Equivalence (formal languages); Canonical form; Separable partial differential equation; Pure mathematics; Differential equation; Differential algebraic equation; Applied mathematics; Symmetry (geometry); Mathematical analysis","score_opus":0.02706017930926743,"score_gpt":0.24326373461308287,"score_spread":0.21620355530381544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148038327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8097441,0.00024399343,0.13307352,0.0006978283,0.0000959056,0.00021295938,0.00012688657,0.00014947457,0.05565521],"genre_scores_gemma":[0.9791302,0.00012285353,0.016954014,0.00006490562,0.000053321008,0.00010022117,0.000148843,0.000025180334,0.0034003991],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99918646,0.00018746467,0.0000611569,0.0001306684,0.00026641053,0.0001678747],"domain_scores_gemma":[0.9993748,0.00012591192,0.00015656908,0.00012720552,0.00014893833,0.00006665898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008716921,0.00037367165,0.0004867606,0.00094082963,0.0007381292,0.0015656115,0.000525655,0.0005346995,0.004042364],"category_scores_gemma":[0.0018626854,0.00024743355,0.0007108143,0.00033698752,0.0024923293,0.00179793,0.0012815723,0.0010673922,0.00031640765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023735654,0.000044133933,0.00079482206,0.00002718287,0.00001327866,0.000109644905,0.00026111698,0.0050758994,0.006355309,0.98208904,0.0003391512,0.00486661],"study_design_scores_gemma":[0.000050033206,0.000062605955,0.0017551722,0.000015743091,0.000013787793,0.00016529683,0.00029085405,0.0793394,0.0068166684,0.908673,0.0027879574,0.000029425602],"about_ca_topic_score_codex":0.0008924141,"about_ca_topic_score_gemma":0.0005504025,"teacher_disagreement_score":0.004042364,"about_ca_system_score_codex":0.0010014633,"about_ca_system_score_gemma":0.0007830697,"threshold_uncertainty_score":0.013523042},"labels":[],"label_agreement":null},{"id":"W2148142904","doi":"10.1155/2013/382619","title":"A Novel Feature-Level Data Fusion Method for Indoor Autonomous Localization","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National High-tech Research and Development Program; China Postdoctoral Science Foundation; Education Department of Jiangxi Province; National Natural Science Foundation of China","keywords":"Artificial intelligence; Computer vision; Position (finance); Monocular; Feature (linguistics); Computer science; Orientation (vector space); Sensor fusion; Enhanced Data Rates for GSM Evolution; Monocular vision; Fusion; Pattern recognition (psychology); Mathematics","score_opus":0.04221864116947354,"score_gpt":0.25647028103103103,"score_spread":0.21425163986155749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148142904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030046965,0.000105919,0.99623626,0.000023974486,0.000021243764,0.000010525024,0.00002652694,0.00035748124,0.00021351056],"genre_scores_gemma":[0.16519314,0.00018522455,0.83312756,0.000067482615,0.000042073367,0.00007990528,0.00021943789,0.00007823925,0.0010069461],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992199,0.000084289226,0.000039795217,0.00019537185,0.0004055521,0.00005511231],"domain_scores_gemma":[0.99953663,0.00007037434,0.00007231154,0.00010131828,0.00019483158,0.000024597552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052091386,0.00057386846,0.00084020256,0.0011624674,0.0004726737,0.0006076964,0.0011787775,0.00079037045,0.0011904654],"category_scores_gemma":[0.0013849377,0.0003929156,0.00071013556,0.0013668974,0.0003748876,0.0016407906,0.0013297081,0.0008213522,0.00078517717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014901115,0.00007907856,0.0009186385,0.00017815686,0.00010024564,0.00015714312,0.00020865307,0.04423601,0.121239044,0.005921367,0.0024926949,0.82431996],"study_design_scores_gemma":[0.00002849653,0.00020142467,0.001979596,0.000028072154,0.00006685496,0.00059660926,0.00006473122,0.8997212,0.08002766,0.004992907,0.012196746,0.000095741285],"about_ca_topic_score_codex":0.0014200067,"about_ca_topic_score_gemma":0.0015177471,"teacher_disagreement_score":0.0014200067,"about_ca_system_score_codex":0.00037550373,"about_ca_system_score_gemma":0.0005675872,"threshold_uncertainty_score":0.0039824843},"labels":[],"label_agreement":null},{"id":"W2153365440","doi":"10.1155/2011/695087","title":"A Novel Ranking Method Based on Subjective Probability Theory for Evolutionary Multiobjective Optimization","year":2011,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ranking (information retrieval); Multi-objective optimization; Pareto principle; Mathematical optimization; Set (abstract data type); Preference; Computer science; Transitive relation; Pareto optimal; Decision maker; Mathematics; Artificial intelligence; Operations research; Statistics","score_opus":0.03152620258173917,"score_gpt":0.26019325520533504,"score_spread":0.22866705262359588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153365440","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011527117,0.00014694451,0.9976846,0.000037648424,0.00004351417,0.000025951771,0.000011380854,0.00006505753,0.00083216996],"genre_scores_gemma":[0.16499174,0.0006622412,0.82968706,0.0001261388,0.00019796462,0.0002593114,0.00013659487,0.000098880366,0.003840119],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981908,0.00061520824,0.00012764179,0.00020236438,0.00079946645,0.0000643866],"domain_scores_gemma":[0.99845433,0.00075742864,0.000119951466,0.000115313516,0.00048406777,0.00006882258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022183182,0.0008559679,0.001136425,0.0020365599,0.0005716686,0.0013775969,0.001109659,0.0007824241,0.0021052794],"category_scores_gemma":[0.0045786365,0.00033783464,0.0011152889,0.0016327337,0.0007934811,0.001883461,0.00077460444,0.0011589598,0.00056953944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008580263,0.00013371395,0.0010683022,0.0004954979,0.00018827364,0.000236908,0.00018379411,0.33121118,0.013605431,0.17302103,0.006027191,0.4737429],"study_design_scores_gemma":[0.000022074211,0.00011452272,0.00036548707,0.000022294003,0.000037668895,0.0001716328,0.000020484404,0.9688251,0.002288664,0.022783326,0.0052931546,0.000055594042],"about_ca_topic_score_codex":0.001189927,"about_ca_topic_score_gemma":0.0012338725,"teacher_disagreement_score":0.0022183182,"about_ca_system_score_codex":0.0006928606,"about_ca_system_score_gemma":0.0009448072,"threshold_uncertainty_score":0.011731744},"labels":[],"label_agreement":null},{"id":"W2153367960","doi":"10.1155/2010/508092","title":"Least Squares for Practitioners","year":2010,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Control Systems and Identification","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Confusion; Reliability (semiconductor); Identification (biology); Simple (philosophy); Least-squares function approximation; Computer science; Management science; Mathematics; Statistics; Engineering; Epistemology; Psychology","score_opus":0.007823995556214042,"score_gpt":0.20732701034197598,"score_spread":0.19950301478576193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153367960","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013788923,0.10673,0.4872053,0.27511817,0.019748416,0.00018837414,0.00070190744,0.0017693192,0.10715965],"genre_scores_gemma":[0.080371454,0.16849542,0.47667116,0.113645084,0.04526343,0.001394386,0.0018420613,0.0019097133,0.1104073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98864925,0.0054975785,0.0010473876,0.0019618133,0.0025624158,0.00028153838],"domain_scores_gemma":[0.9766074,0.013194091,0.0012517159,0.0032567594,0.004850059,0.00083993084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014242307,0.0018617609,0.0013392684,0.0026599877,0.0016270175,0.0068317964,0.002009687,0.0091160275,0.028933562],"category_scores_gemma":[0.04328998,0.0006218775,0.000718015,0.0035615375,0.008892885,0.009193572,0.0039235335,0.014314521,0.03053645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046573292,0.000053303687,0.0005890963,0.0007420884,0.000038770937,0.0001581609,0.0011503933,0.001781848,0.0006021232,0.5824845,0.24433237,0.16802076],"study_design_scores_gemma":[0.000013849301,0.000037354515,0.00022745409,0.00057077996,0.000008236761,0.00022846511,0.00039987924,0.0021212874,0.00019797678,0.43307275,0.5630921,0.000029956343],"about_ca_topic_score_codex":0.0018541322,"about_ca_topic_score_gemma":0.0013633202,"teacher_disagreement_score":0.028933562,"about_ca_system_score_codex":0.0023280836,"about_ca_system_score_gemma":0.0038071086,"threshold_uncertainty_score":0.0967924},"labels":[],"label_agreement":null},{"id":"W2157193389","doi":"10.1155/2012/273631","title":"Improved Polynomial Fuzzy Modeling and Controller with Stability Analysis for Nonlinear Dynamical Systems","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Polynomial; Nonlinear system; Mathematics; Control theory (sociology); Fuzzy logic; Controller (irrigation); Kharitonov's theorem; Taylor series; Fuzzy control system; Stability (learning theory); Lyapunov function; Mathematical optimization; Applied mathematics; Computer science; Matrix polynomial; Artificial intelligence; Control (management); Mathematical analysis; Square-free polynomial; Machine learning","score_opus":0.015130734524209764,"score_gpt":0.20706346694418917,"score_spread":0.1919327324199794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157193389","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060567856,0.00018268308,0.99145836,0.000051002226,0.000022814695,0.000015878086,0.000012503342,0.00015330222,0.0020466628],"genre_scores_gemma":[0.78843236,0.00063573674,0.20498587,0.00004969612,0.000050084986,0.00014951744,0.00010039466,0.00007767537,0.0055186325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997024,0.00006208038,0.000011909354,0.000051533727,0.000154579,0.000017468376],"domain_scores_gemma":[0.99981683,0.00005643003,0.000031034935,0.000023424567,0.00006494035,0.0000074184754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041217823,0.0006489463,0.0005570403,0.00031978963,0.00036214443,0.000538091,0.00070997176,0.0005847745,0.0014081844],"category_scores_gemma":[0.0009514083,0.00020422357,0.00053344085,0.00035737635,0.00039663,0.0006342234,0.00059339474,0.0007575351,0.00045492893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008632525,0.000044937005,0.00023108469,0.00016399694,0.000030932708,0.00012359649,0.0001452133,0.8638572,0.025944985,0.0363669,0.0007468538,0.07225787],"study_design_scores_gemma":[0.0000030472515,0.000019677565,0.000042391977,0.0000024109402,0.000003055933,0.000013155373,0.0000032036287,0.9968556,0.0009304177,0.0013966878,0.000726287,0.0000040019895],"about_ca_topic_score_codex":0.004088829,"about_ca_topic_score_gemma":0.0026083668,"teacher_disagreement_score":0.004088829,"about_ca_system_score_codex":0.0005048641,"about_ca_system_score_gemma":0.0005634175,"threshold_uncertainty_score":0.008130014},"labels":[],"label_agreement":null},{"id":"W2157396246","doi":"10.1155/2014/535634","title":"Stability and Bifurcation Analysis of a Singular Delayed Predator‐Prey Bioeconomic Model with Stochastic Fluctuations","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"National Natural Science Foundation of China","keywords":"Hopf bifurcation; Mathematics; Predator; Stability (learning theory); Applied mathematics; White noise; Control theory (sociology); Population; Predation; Ordinary differential equation; Bifurcation; Algebraic number; Differential equation; Mathematical analysis; Nonlinear system; Economics; Statistics; Ecology; Computer science; Physics","score_opus":0.016910500943301432,"score_gpt":0.24119847271273387,"score_spread":0.22428797176943244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157396246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56585014,0.00091169804,0.41949943,0.0007912091,0.00009863208,0.00005018573,0.00011873779,0.00015264188,0.012527346],"genre_scores_gemma":[0.9958176,0.0001433195,0.0025824797,0.000016840293,0.000012209313,0.000021077021,0.000019112564,0.000006497602,0.0013809967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998317,0.000049043607,0.000010290025,0.000039150676,0.0000432829,0.000026628182],"domain_scores_gemma":[0.9997304,0.000088074565,0.000084274725,0.000015451486,0.00004903448,0.000032821696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037193904,0.00047187554,0.0006317719,0.0005711401,0.00048681145,0.00079767726,0.0006452752,0.00063907815,0.00071075774],"category_scores_gemma":[0.0009772633,0.00025236062,0.0007298806,0.00029899855,0.00093894766,0.0005094405,0.000793843,0.00049127935,0.000075493444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006830164,0.00003121338,0.0025833838,0.00006015229,0.00007715697,0.00053176505,0.00014374433,0.9207906,0.010320093,0.061515253,0.00035241465,0.003525784],"study_design_scores_gemma":[0.000005214151,0.000013880633,0.0003109162,0.0000027239632,0.000011492709,0.00003265424,0.000017251365,0.9942267,0.00022712734,0.0050362227,0.00010964877,0.0000061716996],"about_ca_topic_score_codex":0.0062697716,"about_ca_topic_score_gemma":0.0018061169,"teacher_disagreement_score":0.0062697716,"about_ca_system_score_codex":0.00083393406,"about_ca_system_score_gemma":0.0007274238,"threshold_uncertainty_score":0.01246655},"labels":[],"label_agreement":null},{"id":"W2158576414","doi":"10.1155/2014/796596","title":"Novel Stabilization Conditions for Uncertain Singular Systems with Time‐Varying Delay","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Jiangxi University of Science and Technology; National Natural Science Foundation of China","keywords":"Control theory (sociology); Mathematics; Bounded function; Stability (learning theory); Expression (computer science); Norm (philosophy); State (computer science); Control (management); Computer science; Mathematical analysis; Law; Algorithm","score_opus":0.012442640918863587,"score_gpt":0.20783708434426662,"score_spread":0.19539444342540302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158576414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013966142,0.0009037105,0.9782081,0.00020350268,0.00014001869,0.000049914015,0.00009100838,0.00014582428,0.0062918523],"genre_scores_gemma":[0.9296143,0.0022525045,0.06109615,0.00013143623,0.00035057816,0.00022479301,0.00029433004,0.000064530555,0.0059714066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996388,0.00005802572,0.00002873917,0.000091593,0.00015323896,0.000029658237],"domain_scores_gemma":[0.9994536,0.00018539878,0.00012733597,0.00002408081,0.00018770013,0.000021954449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006506925,0.0010165926,0.00070117536,0.0006238754,0.00033114917,0.0008789167,0.0006194834,0.0008428796,0.0025287962],"category_scores_gemma":[0.001339672,0.000250328,0.0005184942,0.00038694066,0.00070447143,0.0011173707,0.0008555227,0.0010433884,0.00033247302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019693265,0.00006143629,0.00048698438,0.0009817069,0.00006965548,0.0008006618,0.0005817783,0.5841242,0.08524963,0.27029166,0.004168003,0.05298741],"study_design_scores_gemma":[0.000024770985,0.000105899635,0.00021676811,0.000031482457,0.000019021141,0.00010765239,0.00007089392,0.9670721,0.0071394043,0.020591997,0.0045992504,0.000020777443],"about_ca_topic_score_codex":0.0008994031,"about_ca_topic_score_gemma":0.0007468125,"teacher_disagreement_score":0.0025287962,"about_ca_system_score_codex":0.00062239775,"about_ca_system_score_gemma":0.0006104221,"threshold_uncertainty_score":0.008459628},"labels":[],"label_agreement":null},{"id":"W2160178006","doi":"10.1155/2015/323475","title":"Microstructure Models with Short-Term Inertia and Stochastic Volatility","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stochastic volatility; Volatility (finance); Econometrics; Market microstructure; Bayes' theorem; SABR volatility model; Heston model; Bayes factor; Inertia; Mathematics; Term (time); Economics; Bayesian probability; Statistics; Physics; Finance","score_opus":0.03260796329618637,"score_gpt":0.2051085772141684,"score_spread":0.17250061391798202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160178006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31737316,0.00091959233,0.6756988,0.0011432719,0.00012629805,0.00007165061,0.0007270385,0.0002641688,0.0036760408],"genre_scores_gemma":[0.9713595,0.0006542856,0.023760127,0.000103701765,0.00018050015,0.00008067117,0.00046468124,0.000033849996,0.0033627148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896157,0.00034058245,0.00007610656,0.00024905498,0.00022372397,0.00014894165],"domain_scores_gemma":[0.9934562,0.0033297085,0.0018098062,0.0007950726,0.00037054226,0.00023862539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023935065,0.0007664648,0.0013518744,0.0010596717,0.00032637198,0.0025270586,0.0018176904,0.0018627555,0.0014071012],"category_scores_gemma":[0.010122836,0.00088718,0.0013181568,0.0009972046,0.0016020035,0.003947967,0.0011338082,0.0017132489,0.00024278546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011832442,0.00006720001,0.009614911,0.0000757602,0.00015892966,0.0003806873,0.00027080107,0.44563028,0.0030458933,0.52844286,0.0010194334,0.011174943],"study_design_scores_gemma":[0.00001568383,0.000030668,0.0022635432,0.000009917038,0.000019661466,0.00008106539,0.00001831158,0.88973856,0.00020791446,0.10698409,0.00060151494,0.000029102635],"about_ca_topic_score_codex":0.0036274167,"about_ca_topic_score_gemma":0.0025107397,"teacher_disagreement_score":0.0036274167,"about_ca_system_score_codex":0.0009953694,"about_ca_system_score_gemma":0.0007187462,"threshold_uncertainty_score":0.012658179},"labels":[],"label_agreement":null},{"id":"W2163286871","doi":"10.1155/2013/958954","title":"Fault Detection for Non-Gaussian Stochastic Systems with Time-Varying Delay","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China; Qinglan Project of Jiangsu Province of China; University of Alberta; National Science Foundation","keywords":"Fault detection and isolation; Observer (physics); Control theory (sociology); Gaussian; Linear matrix inequality; Sensitivity (control systems); Fault (geology); Mathematics; Computer science; Probability density function; Lyapunov function; Mathematical optimization; Nonlinear system; Engineering; Statistics; Artificial intelligence; Control (management)","score_opus":0.005595801499910208,"score_gpt":0.1859827544436224,"score_spread":0.18038695294371218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163286871","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06510064,0.00036810368,0.9334196,0.00018457063,0.000053092906,0.000028291599,0.000024092931,0.0001677729,0.000653769],"genre_scores_gemma":[0.9889249,0.00019528791,0.010147132,0.000026865244,0.000016012958,0.000018978102,0.000018016184,0.000004673905,0.0006481245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992893,0.00012412822,0.00004853565,0.00021267643,0.00020815832,0.00011735512],"domain_scores_gemma":[0.99767965,0.0012835625,0.00061468064,0.0000674091,0.00030537668,0.00004938838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009637181,0.00094936497,0.0010445466,0.00043815415,0.00040051597,0.0008148177,0.00068055076,0.0009913542,0.00039311158],"category_scores_gemma":[0.0034002156,0.00029249114,0.00059796876,0.00050896243,0.00084845454,0.00077762833,0.00072899286,0.0007099146,0.000065297485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048981677,0.00007966263,0.0037584505,0.00041146323,0.00009793569,0.00053561304,0.00032583368,0.89880806,0.015889522,0.01890371,0.00039594778,0.060304016],"study_design_scores_gemma":[0.000010954726,0.00006255191,0.00038303915,0.000005500183,0.0000112395,0.000035743116,0.000014252492,0.9961851,0.0015477096,0.0016183292,0.00011913952,0.000006478254],"about_ca_topic_score_codex":0.0047547533,"about_ca_topic_score_gemma":0.0035427106,"teacher_disagreement_score":0.0047547533,"about_ca_system_score_codex":0.0009394881,"about_ca_system_score_gemma":0.001001804,"threshold_uncertainty_score":0.009454131},"labels":[],"label_agreement":null},{"id":"W2163634216","doi":"10.1155/2015/989542","title":"Optimal Design of Stochastic Distributed Order Linear SISO Systems Using Hybrid Spectral Method","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Linear system; Polynomial chaos; Computer science; Mathematical optimization; Stochastic process; Monte Carlo method; Mathematics","score_opus":0.15332937425393292,"score_gpt":0.3454075811458249,"score_spread":0.192078206891892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163634216","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02216107,0.0001868783,0.97480506,0.00012476127,0.000024782665,0.000042353786,0.000023207363,0.000101504804,0.0025302677],"genre_scores_gemma":[0.93971515,0.00019483328,0.058055054,0.00006340227,0.000019759998,0.00021610588,0.00003704307,0.00002613469,0.001672479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996358,0.0001283315,0.00001986594,0.000066408706,0.000105828636,0.000043732027],"domain_scores_gemma":[0.9993543,0.00039816438,0.00008985686,0.000023989622,0.00010903417,0.000024715659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093141367,0.0007000123,0.0010343273,0.00041444943,0.00031581122,0.00078918133,0.00047896494,0.000750986,0.0011495919],"category_scores_gemma":[0.0013101646,0.00047474995,0.0005691761,0.00037366664,0.00089826965,0.0004700858,0.0008217644,0.0005178159,0.00014176304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003547475,0.000013662305,0.00012095552,0.00005346652,0.00001943817,0.000023199373,0.000033102926,0.984251,0.0017635425,0.007069922,0.00012757868,0.006488638],"study_design_scores_gemma":[0.0000045947727,0.000015373567,0.000020031835,0.0000026364255,0.0000026971686,0.0000017824202,0.000003208124,0.99885345,0.00015963,0.00085485226,0.000079805905,0.0000019590739],"about_ca_topic_score_codex":0.0033281615,"about_ca_topic_score_gemma":0.0027626823,"teacher_disagreement_score":0.0033281615,"about_ca_system_score_codex":0.00055014103,"about_ca_system_score_gemma":0.0009825306,"threshold_uncertainty_score":0.0066176057},"labels":[],"label_agreement":null},{"id":"W2166175195","doi":"10.1155/2013/895061","title":"Optimal Modeling and Filtering of Stochastic Time Series for Geoscience Applications","year":2013,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences; University of Calgary","funders":"","keywords":"Covariance; Biorthogonal system; Series (stratigraphy); Applied mathematics; Nonlinear system; Computer science; Mathematics; Algorithm; Mathematical optimization; Statistics; Geology; Artificial intelligence","score_opus":0.021927938235769436,"score_gpt":0.25245000025967707,"score_spread":0.23052206202390763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166175195","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00214201,0.00061026355,0.99619484,0.00018392292,0.000037858048,0.000008103389,0.00004205585,0.000072791394,0.00070810283],"genre_scores_gemma":[0.3752564,0.008141159,0.60722333,0.0002414926,0.00055155775,0.00025990076,0.00082724827,0.00022655571,0.007272378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996387,0.00013762279,0.000030628707,0.000075781914,0.00009084156,0.000026511538],"domain_scores_gemma":[0.9993025,0.0004528576,0.00008384233,0.000053777683,0.000089009736,0.000017993643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010798984,0.0006586547,0.00096017716,0.0005614416,0.00036207092,0.0012907739,0.0007083454,0.0011199948,0.0013549337],"category_scores_gemma":[0.0036261345,0.0004178462,0.0006992052,0.0010785989,0.0007101369,0.0014042832,0.00076983345,0.0011044681,0.0004219772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032177297,0.00002085614,0.00038015988,0.00013961262,0.00003640193,0.000038173534,0.000047856232,0.84560716,0.0021355504,0.10246181,0.0016571741,0.047443092],"study_design_scores_gemma":[0.0000018719935,0.0000041699595,0.000061389124,0.000007602992,0.0000038959847,0.0000059822037,0.0000049794635,0.97631866,0.00024323438,0.022409715,0.0009335115,0.00000508124],"about_ca_topic_score_codex":0.005449014,"about_ca_topic_score_gemma":0.004569761,"teacher_disagreement_score":0.005449014,"about_ca_system_score_codex":0.000769818,"about_ca_system_score_gemma":0.0011107393,"threshold_uncertainty_score":0.010834634},"labels":[],"label_agreement":null},{"id":"W2169655313","doi":"10.1155/2012/240204","title":"Output Regulation in Discrete‐Time Switched Bimodal Systems Based on Youla Parameterized Stabilizing Controllers","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Parameterized complexity; Observer (physics); Control theory (sociology); Constraint (computer-aided design); Discrete time and continuous time; Regulator; Computer science; Set (abstract data type); Algorithm; Mathematics; Control (management); Artificial intelligence; Statistics","score_opus":0.01406976830294291,"score_gpt":0.2061550255246765,"score_spread":0.19208525722173359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169655313","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05914356,0.00018277392,0.9375006,0.00006706003,0.000022730303,0.00003072426,0.00002133275,0.0002149286,0.002816291],"genre_scores_gemma":[0.98407054,0.00010484009,0.014655455,0.000024900137,0.000009225545,0.00007085722,0.000025224617,0.0000099736035,0.0010289543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996674,0.000089442336,0.000020030826,0.00008863625,0.00009664051,0.000037851176],"domain_scores_gemma":[0.9994097,0.000267588,0.00014900135,0.00004953469,0.00010780202,0.00001637861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005106241,0.0004361404,0.00045728713,0.00019752544,0.0001665589,0.0007518403,0.000541229,0.0004863439,0.000948605],"category_scores_gemma":[0.0011073749,0.00016907767,0.00030191228,0.00016215448,0.00056403974,0.00041390577,0.0005752268,0.0004952472,0.00015830332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003448755,0.00009660772,0.00080220297,0.0002632951,0.00006520624,0.00017199751,0.00037119695,0.7987309,0.108745836,0.026447605,0.0007488758,0.06321139],"study_design_scores_gemma":[0.0000144275045,0.00011447112,0.00017538392,0.000009714876,0.000009350806,0.000014234936,0.000023314844,0.9909184,0.0069687366,0.001219927,0.00052433443,0.0000076587],"about_ca_topic_score_codex":0.001387129,"about_ca_topic_score_gemma":0.0010521354,"teacher_disagreement_score":0.001387129,"about_ca_system_score_codex":0.00037075806,"about_ca_system_score_gemma":0.00034930604,"threshold_uncertainty_score":0.003173411},"labels":[],"label_agreement":null},{"id":"W2170946417","doi":"10.1155/2012/636159","title":"Robust Nash Dynamic Game Strategy for User Cooperation Energy Efficiency in Wireless Cellular Networks","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Relay; Computer science; Game theory; Nash equilibrium; Wireless; Stochastic game; Efficient energy use; Computer network; Perfect information; Base station; Wireless network; Non-cooperative game; Distributed computing; Mathematical optimization; Telecommunications; Engineering","score_opus":0.03179220572550204,"score_gpt":0.2406289481041166,"score_spread":0.20883674237861458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170946417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046921387,0.00035130413,0.92395157,0.00062063825,0.000058971367,0.00018033436,0.00008165701,0.00009508266,0.02773905],"genre_scores_gemma":[0.9665373,0.0002656334,0.027484523,0.00013661331,0.000027421804,0.00028358135,0.00003773293,0.000017049886,0.0052101305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761873,0.0014119261,0.00006855898,0.00024539273,0.00041664875,0.00023880693],"domain_scores_gemma":[0.99833965,0.0010439705,0.00015364714,0.000089416266,0.00026511715,0.00010812602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020611295,0.001116305,0.0010316938,0.0005859358,0.0006340753,0.0014835728,0.0016151944,0.0013501046,0.0016552993],"category_scores_gemma":[0.004925048,0.00030844775,0.0005632591,0.0006587501,0.0019283575,0.0015267797,0.0014533472,0.00094630494,0.00028666927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017851955,0.00008244908,0.0005081348,0.00011200496,0.00008612749,0.0004032695,0.0003302763,0.5292123,0.004312784,0.4499973,0.0021787295,0.012598076],"study_design_scores_gemma":[0.000032996446,0.000054372533,0.00011928199,0.000012182203,0.000016621587,0.00006221054,0.000049532257,0.9248852,0.00042713693,0.07326391,0.0010576413,0.000018890543],"about_ca_topic_score_codex":0.0048033637,"about_ca_topic_score_gemma":0.0027921335,"teacher_disagreement_score":0.0048033637,"about_ca_system_score_codex":0.0024259042,"about_ca_system_score_gemma":0.0017997092,"threshold_uncertainty_score":0.017601311},"labels":[],"label_agreement":null},{"id":"W2215641263","doi":"10.1155/2015/976742","title":"Supplier Evaluation Process by Pairwise Comparisons","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Pairwise comparison; Bidding; Consistency (knowledge bases); Procurement; Service (business); Process (computing); Supplier evaluation; Selection (genetic algorithm); Computer science; Viewpoints; Operations research; Business; Process management; Marketing; Mathematics; Supply chain management; Supply chain; Machine learning; Artificial intelligence","score_opus":0.25654635449315755,"score_gpt":0.43353891474332934,"score_spread":0.1769925602501718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215641263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017963236,0.0003686406,0.97142136,0.0006456152,0.00010914985,0.001613481,0.000110978406,0.00017758449,0.007589996],"genre_scores_gemma":[0.16078986,0.0003034077,0.8342349,0.00013311811,0.00009396582,0.0016686611,0.00021478385,0.00008095927,0.002480344],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9032697,0.06747947,0.005006343,0.005513633,0.017364472,0.0013662494],"domain_scores_gemma":[0.9063159,0.05658145,0.006013724,0.004731523,0.025002228,0.0013551703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07103299,0.0021684214,0.0025896574,0.0071089785,0.0024212203,0.005760438,0.0033152164,0.0018548684,0.0088653695],"category_scores_gemma":[0.12621251,0.0008851599,0.0026129098,0.0068192934,0.00246224,0.007360953,0.005405375,0.0032379758,0.0018622412],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006741924,0.0004982335,0.009198659,0.0017202565,0.0007758382,0.00046327,0.00545251,0.05919254,0.005911121,0.1893374,0.005536289,0.7212397],"study_design_scores_gemma":[0.00031010184,0.0021788217,0.007668791,0.0007270334,0.00056801055,0.0005968566,0.0040944396,0.39272994,0.014469533,0.5426953,0.03355814,0.0004030271],"about_ca_topic_score_codex":0.00181149,"about_ca_topic_score_gemma":0.0021290227,"teacher_disagreement_score":0.07103299,"about_ca_system_score_codex":0.0026583918,"about_ca_system_score_gemma":0.0066116676,"threshold_uncertainty_score":0.37566286},"labels":[],"label_agreement":null},{"id":"W2236665116","doi":"10.1155/2016/6120169","title":"Existence of Positive Solutions for a Class of Nonlinear Algebraic Systems","year":2016,"lang":"lv","type":"article","venue":"Mathematical Problems in Engineering","topic":"Nonlinear Differential Equations Analysis","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Algorithm; Computer science","score_opus":0.039820375580504226,"score_gpt":0.27083839368675633,"score_spread":0.2310180181062521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236665116","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40709996,0.0017716006,0.5159364,0.0033731153,0.00027947113,0.00020883228,0.00021160256,0.00030270295,0.070816316],"genre_scores_gemma":[0.95736957,0.00081826316,0.02261483,0.00019497357,0.00011410612,0.00024424423,0.00011355021,0.000042207674,0.018488279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994968,0.00013043417,0.000023861197,0.00010157924,0.0001426403,0.00010467634],"domain_scores_gemma":[0.9990889,0.0004452186,0.0001522763,0.000032240194,0.00019093462,0.00009044953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009644548,0.0009318037,0.0007922835,0.0012963593,0.0012621839,0.0017989838,0.00072783814,0.0014966633,0.004465178],"category_scores_gemma":[0.0030097468,0.000543028,0.0012050896,0.00045661724,0.0019261908,0.0013635617,0.0017798397,0.001831763,0.00043176013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116910625,0.000077624856,0.0013978878,0.0003337443,0.00012247232,0.0006847577,0.00096041476,0.05535285,0.01567731,0.90379894,0.002962593,0.018514428],"study_design_scores_gemma":[0.000080722115,0.00018539786,0.0010527703,0.00012335916,0.000059243266,0.00059688644,0.0005891409,0.56101,0.005010019,0.42427877,0.0069238,0.00008982216],"about_ca_topic_score_codex":0.0012502434,"about_ca_topic_score_gemma":0.0006572789,"teacher_disagreement_score":0.004465178,"about_ca_system_score_codex":0.0011123271,"about_ca_system_score_gemma":0.0011504736,"threshold_uncertainty_score":0.01493758},"labels":[],"label_agreement":null},{"id":"W2280526391","doi":"10.1155/2016/4967937","title":"Compact Wide Frequency Range Fractional-Order Models of Human Body Impedance against Contact Currents","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrical impedance; Nonlinear system; Range (aeronautics); Integer (computer science); Order (exchange); Mathematics; Control theory (sociology); Mathematical analysis; Acoustics; Physics; Engineering; Computer science; Electrical engineering","score_opus":0.018253117352570365,"score_gpt":0.2412670740509767,"score_spread":0.22301395669840632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280526391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19783463,0.00044830935,0.7910469,0.00024886444,0.00006027627,0.00008031346,0.00045286087,0.0008824163,0.008945528],"genre_scores_gemma":[0.9714149,0.00027903056,0.025352357,0.000039176375,0.000012130236,0.000083486804,0.00023853776,0.000035528723,0.0025447123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984825,0.000034953067,0.000007363068,0.0000326554,0.000059453996,0.000017264516],"domain_scores_gemma":[0.99968505,0.00016346766,0.00003468896,0.00006301297,0.000044713022,0.000009119241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023824669,0.0005222666,0.00043499214,0.00032997274,0.0001782334,0.00052000105,0.000763592,0.000857486,0.0016707082],"category_scores_gemma":[0.0012287361,0.00017501514,0.00051199016,0.00047922644,0.00029053012,0.00076128304,0.00020420332,0.0004679729,0.00046775298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011850869,0.000052775868,0.00075607747,0.00010119731,0.000026835773,0.00012266629,0.00015903136,0.95596856,0.013698076,0.0039902395,0.0005539341,0.02445205],"study_design_scores_gemma":[0.0000056139456,0.00005310351,0.00033644686,0.000007654797,0.0000092357195,0.000047870595,0.000016776394,0.9950551,0.0024672349,0.0013256869,0.0006685419,0.0000067588526],"about_ca_topic_score_codex":0.001984825,"about_ca_topic_score_gemma":0.0020790603,"teacher_disagreement_score":0.001984825,"about_ca_system_score_codex":0.00032850314,"about_ca_system_score_gemma":0.0003145234,"threshold_uncertainty_score":0.0055891275},"labels":[],"label_agreement":null},{"id":"W2316901784","doi":"10.1155/2016/3543571","title":"Space-Dependent Sobolev Gradients as a Regularization for Inverse Radiative Transfer Problems","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sobolev space; Regularization (linguistics); Algorithm; Inverse problem; Applied mathematics; Gradient descent; Mathematics; Computer science; Conjugate gradient method; Mathematical analysis; Artificial intelligence; Artificial neural network","score_opus":0.013719550995984443,"score_gpt":0.2587164468264349,"score_spread":0.24499689583045048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316901784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004455767,0.00068891875,0.9918766,0.00024594288,0.000061328414,0.000029295046,0.000033616932,0.00016996918,0.002438578],"genre_scores_gemma":[0.15534888,0.0025367476,0.82847905,0.00024936598,0.00024209057,0.0001800125,0.00024751603,0.0007434437,0.01197282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927336,0.00035263118,0.000030619587,0.0000681349,0.00023684882,0.000038486927],"domain_scores_gemma":[0.998833,0.0006823948,0.00010143802,0.00009463868,0.00021321543,0.00007530602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018880427,0.0014735381,0.000693314,0.00097598066,0.00036735012,0.0013219336,0.00072631624,0.0014920265,0.0014476217],"category_scores_gemma":[0.0032713525,0.0004700804,0.00087566377,0.0005802103,0.0015365266,0.0015965467,0.0015199685,0.0023888962,0.00084559823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016066758,0.00009700554,0.0006108271,0.0005146099,0.00008847781,0.00028161317,0.0003158865,0.42041498,0.042544227,0.4160533,0.0057348087,0.11318358],"study_design_scores_gemma":[0.000005951579,0.000029460192,0.0001296298,0.000025939933,0.000007905847,0.00006823302,0.000018106262,0.94787216,0.005441749,0.038791265,0.0075865597,0.00002302995],"about_ca_topic_score_codex":0.0014135304,"about_ca_topic_score_gemma":0.001364295,"teacher_disagreement_score":0.0018880427,"about_ca_system_score_codex":0.00066900766,"about_ca_system_score_gemma":0.00081396825,"threshold_uncertainty_score":0.00998503},"labels":[],"label_agreement":null},{"id":"W2319277364","doi":"10.1155/2016/9187438","title":"Joint TAS and Power Allocation for SDF Relaying M2M Cooperative Networks","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Nakagami distribution; Relay; Fading; Computer science; Transmitter power output; Selection (genetic algorithm); Power (physics); Outage probability; Antenna (radio); Joint (building); Mathematical optimization; Algorithm; Mathematics; Computer network; Telecommunications; Engineering; Channel (broadcasting); Artificial intelligence","score_opus":0.027986830548061552,"score_gpt":0.24042845127644313,"score_spread":0.21244162072838157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319277364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20139979,0.000951426,0.7909878,0.00040872832,0.000041097737,0.000049152524,0.000099298486,0.00016798376,0.0058947518],"genre_scores_gemma":[0.9879112,0.00026852157,0.011074715,0.00002409923,0.00001868235,0.000029320692,0.000021050895,0.0000067527235,0.0006455845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915373,0.00034873286,0.00003834787,0.0000979986,0.00020654174,0.00015464393],"domain_scores_gemma":[0.9984282,0.0010711473,0.00018903789,0.00007626372,0.00018766447,0.000047715603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011890335,0.00082940113,0.00063708983,0.00043843454,0.0005406118,0.0007942247,0.00062619714,0.00060943945,0.0007651741],"category_scores_gemma":[0.004007418,0.0003032095,0.0003633115,0.000937132,0.00076643773,0.0008588908,0.00092439086,0.00031041927,0.0001249622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015660595,0.000024845504,0.0009994017,0.00007406923,0.000027584365,0.00022071185,0.00013360297,0.9470005,0.0037643735,0.023176232,0.00063637766,0.023785708],"study_design_scores_gemma":[0.00000956262,0.000049875805,0.00017619434,0.000003941764,0.000013688496,0.00006079389,0.000034675108,0.99269205,0.0008507945,0.0058106026,0.0002897732,0.000008049339],"about_ca_topic_score_codex":0.0030233273,"about_ca_topic_score_gemma":0.0035562566,"teacher_disagreement_score":0.0030233273,"about_ca_system_score_codex":0.00123283,"about_ca_system_score_gemma":0.0010538021,"threshold_uncertainty_score":0.008944869},"labels":[],"label_agreement":null},{"id":"W2345577305","doi":"10.1155/2016/1932107","title":"Coupling Mechanism and Decoupled Suspension Control Model of a Half Car","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; National Science Foundation","keywords":"Decoupling (probability); Damper; Suspension (topology); Control theory (sociology); Mechanism (biology); Coupling (piping); Engineering; Control (management); Automotive engineering; Structural engineering; Control engineering; Computer science; Physics; Mechanical engineering; Mathematics","score_opus":0.010620581690674693,"score_gpt":0.18640425515549658,"score_spread":0.17578367346482188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345577305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11337298,0.00034454092,0.8643725,0.00021874157,0.00009087929,0.00007061532,0.000095828334,0.00038943242,0.021044536],"genre_scores_gemma":[0.98412955,0.00016118346,0.008732138,0.00003822084,0.000016426855,0.000087170156,0.00006244789,0.00001451379,0.0067584156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998511,0.000017940363,0.0000075997027,0.000051630246,0.000046481247,0.000025189605],"domain_scores_gemma":[0.99991,0.000012946403,0.000023530398,0.000009501611,0.00003244338,0.00001161735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019542148,0.00062001654,0.00041983736,0.00038393083,0.00045208415,0.0007585186,0.0011606042,0.00085911056,0.0028923606],"category_scores_gemma":[0.0001640465,0.00031292863,0.0006007179,0.0001966681,0.000612931,0.00063719397,0.0008295509,0.0006771658,0.00040541546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020347649,0.00009727258,0.0012240895,0.000226841,0.00009207616,0.0004651005,0.00045925472,0.82946247,0.07589206,0.06408891,0.001203731,0.026584681],"study_design_scores_gemma":[0.000012205716,0.000060139806,0.00017909778,0.000003117301,0.000009590378,0.000020013202,0.000018699277,0.9966299,0.00096946384,0.0015735081,0.00051662547,0.0000075831044],"about_ca_topic_score_codex":0.0057309475,"about_ca_topic_score_gemma":0.0027019496,"teacher_disagreement_score":0.0057309475,"about_ca_system_score_codex":0.00039301283,"about_ca_system_score_gemma":0.00052412954,"threshold_uncertainty_score":0.011395216},"labels":[],"label_agreement":null},{"id":"W2398526215","doi":"10.1155/2016/6943079","title":"A Hybrid Algorithm Based on Optimal Quadratic Spline Collocation and Parareal Deferred Correction for Parabolic PDEs","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Shandong Province; University of Toronto; National Natural Science Foundation of China","keywords":"Collocation (remote sensing); Discretization; Quadratic equation; Computer science; Stability (learning theory); Algorithm; Mathematical optimization; Mathematics; Collocation method; Applied mathematics; Mathematical analysis","score_opus":0.03870821043306441,"score_gpt":0.3060607101789505,"score_spread":0.26735249974588604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398526215","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010295897,0.00014563085,0.9880547,0.000089949055,0.000064408145,0.000023856708,0.000013727743,0.00025315548,0.0010586679],"genre_scores_gemma":[0.2916632,0.00024320236,0.7027406,0.00011732223,0.00006124924,0.0001211215,0.000116657284,0.00014452642,0.0047920495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996581,0.00006947446,0.000019640738,0.000055218672,0.00016224796,0.000035187873],"domain_scores_gemma":[0.99958855,0.000113102826,0.000042832155,0.000066595196,0.00014993768,0.0000390408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005221068,0.00047728297,0.0006096282,0.00051636307,0.00048047444,0.0005673492,0.0014606258,0.0008329922,0.0015985607],"category_scores_gemma":[0.0011055145,0.00032302324,0.0005564521,0.00056393916,0.0005768176,0.00079293124,0.0010661093,0.00083624333,0.00033268833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020009186,0.00009472497,0.002131874,0.0002084016,0.00006882594,0.00021606594,0.00029943904,0.72013646,0.028112032,0.043046653,0.0030037304,0.20248175],"study_design_scores_gemma":[0.000010574036,0.000020168578,0.00006626677,0.000003343819,0.0000031737268,0.00002829791,0.000007524992,0.9958407,0.0012671836,0.0013736722,0.0013702691,0.000008781999],"about_ca_topic_score_codex":0.007080527,"about_ca_topic_score_gemma":0.0054596527,"teacher_disagreement_score":0.007080527,"about_ca_system_score_codex":0.0005607749,"about_ca_system_score_gemma":0.0013741899,"threshold_uncertainty_score":0.014078617},"labels":[],"label_agreement":null},{"id":"W2419174433","doi":"10.1155/2016/5976301","title":"Fractional-Order Two-Port Networks","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrical impedance; Order (exchange); Integer (computer science); Port (circuit theory); Admittance parameters; Admittance; Matrix (chemical analysis); Focus (optics); Impedance parameters; Mathematics; Algorithm; Combinatorics; Mathematical analysis; Computer science; Electrical engineering; Physics; Materials science; Engineering; Optics; Composite material","score_opus":0.010752957296280737,"score_gpt":0.20622443236894109,"score_spread":0.19547147507266036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419174433","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014637482,0.0006035356,0.9486049,0.0003569951,0.00023757074,0.00003242236,0.00009663461,0.00025610105,0.03517419],"genre_scores_gemma":[0.7000683,0.0018899416,0.26565924,0.0004592983,0.00024660336,0.00015774624,0.00019689494,0.00012557798,0.031196408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997235,0.00006708561,0.000013181499,0.0000541341,0.000100525685,0.000041434156],"domain_scores_gemma":[0.9997981,0.00007452036,0.000027463073,0.000043012013,0.000040476236,0.000016389915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029496866,0.00059638475,0.00036110074,0.00052980584,0.00049823563,0.0016804449,0.0006198097,0.0008292988,0.0051855715],"category_scores_gemma":[0.0009987177,0.00020028483,0.00039820737,0.00066783366,0.00086135074,0.002127121,0.0006441563,0.00096414937,0.0008387583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034772827,0.000024537989,0.00011302146,0.00005610019,0.000008565192,0.00018945863,0.00010405027,0.031553004,0.00792058,0.9371606,0.0012246773,0.021610588],"study_design_scores_gemma":[0.000019339039,0.00005298581,0.00014741094,0.000036664205,0.000016501377,0.00052509713,0.000059001806,0.35463855,0.008159032,0.5907479,0.045561805,0.00003581126],"about_ca_topic_score_codex":0.00044103907,"about_ca_topic_score_gemma":0.0004151236,"teacher_disagreement_score":0.0051855715,"about_ca_system_score_codex":0.0007400989,"about_ca_system_score_gemma":0.00026068802,"threshold_uncertainty_score":0.017347455},"labels":[],"label_agreement":null},{"id":"W2495151523","doi":"10.1155/2016/9717281","title":"Advances in Time Series Analysis and Its Applications","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Series (stratigraphy); Computer science; Time series; Geology; Machine learning","score_opus":0.005582311464314864,"score_gpt":0.1987755318955326,"score_spread":0.19319322043121773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495151523","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012214149,0.3025286,0.6333515,0.007239829,0.0074379165,0.000054724143,0.0006944074,0.00058883504,0.035890013],"genre_scores_gemma":[0.2902169,0.36725834,0.2933698,0.002097989,0.022609605,0.00018812214,0.0011370124,0.00035450017,0.022767687],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99900097,0.00025927235,0.00013031178,0.00017213807,0.0003970224,0.00004029939],"domain_scores_gemma":[0.99653757,0.0022097607,0.0002192789,0.00031507935,0.000637668,0.00008062328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017873667,0.00090507045,0.0014148375,0.002491143,0.00038369372,0.0023072525,0.00082875683,0.0010643248,0.0049907914],"category_scores_gemma":[0.0057343775,0.00024349435,0.00095881923,0.005086973,0.0009724198,0.0025380275,0.001060932,0.002182137,0.0022079172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000869708,0.00012263561,0.001958724,0.002060785,0.00018767249,0.00019769775,0.00023421529,0.016265195,0.005196673,0.26928654,0.023109993,0.6812929],"study_design_scores_gemma":[0.000024601672,0.00013240123,0.004186097,0.00046580748,0.00025476416,0.0006573839,0.00025567994,0.20509638,0.00410875,0.48890874,0.29581997,0.00008954103],"about_ca_topic_score_codex":0.00073146785,"about_ca_topic_score_gemma":0.00037592836,"teacher_disagreement_score":0.0049907914,"about_ca_system_score_codex":0.0005576621,"about_ca_system_score_gemma":0.0008790428,"threshold_uncertainty_score":0.016695857},"labels":[],"label_agreement":null},{"id":"W2508474047","doi":"10.1155/2016/7438913","title":"A Risk-Based Interval Two-Stage Programming Model for Agricultural System Management under Uncertainty","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities","keywords":"Profit (economics); Agriculture; Production (economics); Agricultural productivity; Environmental economics; Probabilistic logic; Business; Revenue; Risk management; Incentive; Risk analysis (engineering); Natural resource economics; Computer science; Environmental resource management; Economics; Finance; Microeconomics; Geography","score_opus":0.012821866785183678,"score_gpt":0.20160709973751137,"score_spread":0.1887852329523277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508474047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031159388,0.00048131926,0.95710415,0.00043442805,0.000069956935,0.00013595434,0.00031161806,0.00018544533,0.010117795],"genre_scores_gemma":[0.9014554,0.0007570233,0.083844125,0.00013528032,0.000055141758,0.00088884274,0.00034824482,0.00007319077,0.0124427285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926525,0.0002758194,0.000033499415,0.00014915311,0.00013496044,0.00014135493],"domain_scores_gemma":[0.99902284,0.0006043669,0.00011431916,0.000020084302,0.00018662812,0.000051705632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016632891,0.0013618661,0.0013216918,0.0006923157,0.00066662196,0.0017967245,0.0019181306,0.001987359,0.0045490214],"category_scores_gemma":[0.0021026945,0.0009415694,0.0014726367,0.00094605924,0.0007861838,0.001006215,0.0011673272,0.0020920816,0.00029755733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009927453,0.000009305067,0.00011839783,0.000020395237,0.000009350541,0.000029751147,0.00001894891,0.9955486,0.00012962609,0.0027894804,0.00011284657,0.0012033575],"study_design_scores_gemma":[0.000004575149,0.000012093304,0.000037291087,0.000003000396,0.0000054992706,0.000003988629,0.0000062684567,0.9986526,0.000039671177,0.0011087103,0.00012318534,0.0000030549493],"about_ca_topic_score_codex":0.017526694,"about_ca_topic_score_gemma":0.010519786,"teacher_disagreement_score":0.017526694,"about_ca_system_score_codex":0.0015699697,"about_ca_system_score_gemma":0.0023303353,"threshold_uncertainty_score":0.034849346},"labels":[],"label_agreement":null},{"id":"W2522653566","doi":"10.1155/2016/8098092","title":"External Monitoring and Dynamic Behavior in Mutual Funds","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Science Foundation of Ministry of Education of China; Fundamental Research Funds for the Central Universities; Education Department of Jiangxi Province; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; Department of Education of Liaoning Province; National Natural Science Foundation of China","keywords":"Inefficiency; Business; Mutual fund; Information asymmetry; Closed-end fund; Finance; Investment (military); Microeconomics; Economics; Market liquidity","score_opus":0.021989889963246405,"score_gpt":0.2142519028830345,"score_spread":0.1922620129197881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522653566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624189,0.00043288342,0.030413862,0.0008842004,0.000009933637,0.000017672148,0.00003277964,0.000047755177,0.0057420223],"genre_scores_gemma":[0.99845386,0.000078224664,0.0008647178,0.000015470716,0.00000817445,0.000007115271,0.000010165895,0.0000038074513,0.00055846944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989681,0.0005107363,0.00005644637,0.00014915272,0.00015751502,0.00015799193],"domain_scores_gemma":[0.98747224,0.0050329627,0.0057517006,0.0006466098,0.00055486563,0.0005416035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035130256,0.00036110726,0.0005433977,0.0006499168,0.0005071827,0.0015876339,0.0005155005,0.0011343289,0.0014298529],"category_scores_gemma":[0.025907144,0.0002585235,0.00027239992,0.00045333107,0.0013355693,0.0020972725,0.0011134968,0.0006595204,0.00013332476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081172195,0.00037087942,0.12677188,0.00018408964,0.00027671587,0.0014938412,0.002500439,0.16936949,0.008643645,0.60339814,0.001982886,0.08419633],"study_design_scores_gemma":[0.0001485907,0.0002578175,0.057199392,0.000091169444,0.000089728856,0.0006026401,0.0008422172,0.60483474,0.0029617134,0.3296717,0.0032121544,0.00008811864],"about_ca_topic_score_codex":0.0015102222,"about_ca_topic_score_gemma":0.0007822727,"teacher_disagreement_score":0.0035130256,"about_ca_system_score_codex":0.0011223407,"about_ca_system_score_gemma":0.00048528367,"threshold_uncertainty_score":0.018578887},"labels":[],"label_agreement":null},{"id":"W2526849907","doi":"10.1155/2016/1285768","title":"Stock Market Autoregressive Dynamics: A Multinational Comparative Study with Quantile Regression","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"National Natural Science Foundation of China","keywords":"Econometrics; Autoregressive model; Autocorrelation; Stock market index; Economics; Stock market; Quantile; Stock (firearms); Financial economics; Quantile regression; Multinational corporation; Statistics; Mathematics; Geography; Finance","score_opus":0.027016368304243844,"score_gpt":0.23679067263228432,"score_spread":0.20977430432804048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526849907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825811,0.0014381708,0.012542694,0.00036343033,0.000011042919,0.000011371965,0.00007662593,0.000030063718,0.0029455957],"genre_scores_gemma":[0.9970477,0.00061520207,0.0017675955,0.000022497898,0.000019921863,0.000005698453,0.00007071299,0.000010807928,0.00043974956],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964607,0.00018183675,0.00001703372,0.00006533543,0.000044486278,0.000045291414],"domain_scores_gemma":[0.99712604,0.0016844128,0.000562768,0.0002518266,0.00027820407,0.00009682557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023242591,0.00025063584,0.00056258496,0.0011197734,0.0002859816,0.0009912216,0.00037218217,0.00031277232,0.0015494255],"category_scores_gemma":[0.0056119603,0.0001232913,0.0005882527,0.001766988,0.00041152647,0.0010324538,0.00077562896,0.00045756513,0.00012589018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001701299,0.00024735928,0.6886876,0.00014357203,0.00068917853,0.0013327601,0.00243706,0.147677,0.0018522573,0.06413613,0.0016724656,0.09095445],"study_design_scores_gemma":[0.000018271554,0.00010193592,0.24436843,0.00004787811,0.00019410491,0.00018288264,0.0011504466,0.73844296,0.00046061393,0.01293544,0.0020593547,0.000037725178],"about_ca_topic_score_codex":0.021239614,"about_ca_topic_score_gemma":0.010438616,"teacher_disagreement_score":0.021239614,"about_ca_system_score_codex":0.00056420045,"about_ca_system_score_gemma":0.00035650132,"threshold_uncertainty_score":0.042231977},"labels":[],"label_agreement":null},{"id":"W2543238066","doi":"10.1155/2016/7324508","title":"Design and Experimental Verification of Robust Motion Synchronization Control with Integral Action","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Control theory (sociology); Estimator; Synchronization (alternating current); Controller (irrigation); Embedding; Tracking error; Trajectory; Mathematics; Computer science; Position (finance); Tracking (education); Acceleration; Topology (electrical circuits); Control (management); Artificial intelligence","score_opus":0.0203679803873135,"score_gpt":0.20900727936085023,"score_spread":0.18863929897353673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543238066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36876968,0.00041384387,0.61693066,0.00025084542,0.00024822596,0.00061478914,0.0002215003,0.0022352866,0.010315196],"genre_scores_gemma":[0.96605986,0.00005214683,0.032537546,0.000019035619,0.000008049142,0.00027694087,0.000072355215,0.000021581025,0.0009525324],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993162,0.000077108554,0.000056379085,0.00017862163,0.00027990158,0.00009179077],"domain_scores_gemma":[0.99853075,0.00038203225,0.00034143406,0.00031827524,0.0003673317,0.000060179453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011573326,0.0007488279,0.0005493441,0.00043373217,0.00037926575,0.00058153016,0.0010127974,0.00085338234,0.0021263813],"category_scores_gemma":[0.0020747553,0.00028544528,0.00038339137,0.00021154543,0.0005091058,0.0005493868,0.00053892174,0.0005328501,0.00034130595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001247349,0.001334814,0.0018543405,0.0011035391,0.00010418364,0.00036544233,0.00035435628,0.27253738,0.59968907,0.017334651,0.0011594642,0.10291552],"study_design_scores_gemma":[0.00030529406,0.0038736796,0.0019829937,0.000041667452,0.00005094167,0.00006333304,0.000049910657,0.75250465,0.23575942,0.0018674972,0.003461209,0.000039404036],"about_ca_topic_score_codex":0.0011134048,"about_ca_topic_score_gemma":0.000493633,"teacher_disagreement_score":0.0021263813,"about_ca_system_score_codex":0.00041278082,"about_ca_system_score_gemma":0.0006368133,"threshold_uncertainty_score":0.0071135163},"labels":[],"label_agreement":null},{"id":"W2559854677","doi":"10.1155/2016/5856083","title":"Sensor Placement via Optimal Experiment Design in EMI Sensing of Metallic Objects","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Strategic Environmental Research and Development Program","keywords":"EMI; Computer science; Sensitivity (control systems); Measure (data warehouse); Process (computing); Range (aeronautics); Covariance; Covariance matrix; Optimal design; Function (biology); Field (mathematics); Electromagnetic interference; Algorithm; Electronic engineering; Data mining; Mathematics; Engineering; Machine learning; Statistics; Telecommunications","score_opus":0.022512753728044083,"score_gpt":0.23597498799846328,"score_spread":0.2134622342704192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559854677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013126984,0.00008621074,0.9861844,0.000082722145,0.000015312757,0.00009076693,0.000012987716,0.000078219346,0.00032242062],"genre_scores_gemma":[0.4441471,0.00019976747,0.5545032,0.000100650956,0.000040195984,0.0003999001,0.00004613422,0.000036864527,0.00052619725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99328643,0.004680221,0.00024304978,0.0008593303,0.00073388667,0.00019705424],"domain_scores_gemma":[0.980138,0.014378207,0.0024290995,0.0014967447,0.0013184034,0.00023943576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0096950345,0.0012497909,0.0011857,0.000894513,0.00043407278,0.0009034421,0.0011839331,0.0011795205,0.0010052483],"category_scores_gemma":[0.025119478,0.0009107609,0.0007165956,0.00045754397,0.0025215668,0.001790553,0.0014323688,0.0009211141,0.00022578416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077293086,0.0003446839,0.0021558006,0.00046582104,0.000112091475,0.00010020963,0.00018375051,0.8551561,0.024462271,0.031743445,0.00024028428,0.084262565],"study_design_scores_gemma":[0.000102179896,0.0011974917,0.00069595565,0.000026260042,0.000038045167,0.000050730836,0.000056380686,0.95288306,0.015370695,0.02855776,0.0009867249,0.000034718374],"about_ca_topic_score_codex":0.0005460511,"about_ca_topic_score_gemma":0.00067852275,"teacher_disagreement_score":0.0096950345,"about_ca_system_score_codex":0.0009784503,"about_ca_system_score_gemma":0.0013522054,"threshold_uncertainty_score":0.05127287},"labels":[],"label_agreement":null},{"id":"W2581421322","doi":"10.1155/2017/9285403","title":"Exact Algorithm for the Capacitated Team Orienteering Problem with Time Windows","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Groupe de recherche interuniversitaire en limnologie; Korea Institute of Industrial Technology","keywords":"Orienteering; Mathematical optimization; Scheme (mathematics); Heuristic; Enumeration; Computer science; Algorithm; Mathematics; Combinatorics","score_opus":0.014422961881450973,"score_gpt":0.23947638920310838,"score_spread":0.2250534273216574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581421322","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014578824,0.00027369428,0.9742227,0.000285383,0.00006719587,0.00012599192,0.0001947335,0.00078095385,0.009470573],"genre_scores_gemma":[0.27588245,0.00034462917,0.71431345,0.00014426002,0.000055270542,0.00041888983,0.00061775674,0.00026081217,0.007962424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994617,0.000099326615,0.000026501384,0.0001166685,0.0001458145,0.00015000375],"domain_scores_gemma":[0.99924004,0.000433401,0.00006374772,0.0000892505,0.00012540772,0.00004820244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007350585,0.0009855161,0.0011190206,0.0007003329,0.0007068652,0.0013672959,0.0014506426,0.0013588493,0.012524086],"category_scores_gemma":[0.0025857622,0.00056145544,0.000733142,0.0013212985,0.00061171857,0.0018429224,0.001350014,0.0014757006,0.001700202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010962104,0.00010580134,0.00043167954,0.00015569375,0.000029100363,0.00008339959,0.00011985329,0.82422155,0.0013087367,0.043948993,0.005133966,0.124351725],"study_design_scores_gemma":[0.000039610306,0.000026677002,0.00007297244,0.00000992365,0.0000067632122,0.000024374875,0.000031806627,0.9776087,0.0002875717,0.020563444,0.0013219224,0.0000061928804],"about_ca_topic_score_codex":0.009440409,"about_ca_topic_score_gemma":0.009563188,"teacher_disagreement_score":0.012524086,"about_ca_system_score_codex":0.001395014,"about_ca_system_score_gemma":0.0028456496,"threshold_uncertainty_score":0.041897297},"labels":[],"label_agreement":null},{"id":"W2592319772","doi":"10.1155/2017/9642917","title":"A New Calculation Method of Dynamic Kill Fluid Density Variation during Deep Water Drilling","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Superposition principle; Drilling fluid; Petroleum engineering; Drilling; Process (computing); Multiphase flow; Geology; Mechanics; Computer science; Engineering; Mechanical engineering; Mathematics; Physics","score_opus":0.006413132315487329,"score_gpt":0.21769082007877455,"score_spread":0.21127768776328723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592319772","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008205621,0.00010209883,0.9906562,0.00002434774,0.000027866943,0.000023123823,0.000024508672,0.0002585534,0.0006776397],"genre_scores_gemma":[0.47804356,0.0008004683,0.5155844,0.000036991856,0.000069329646,0.00018094666,0.00015911539,0.00017134934,0.0049539115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971455,0.00003551375,0.000017889633,0.0000554301,0.00016413922,0.000012521607],"domain_scores_gemma":[0.9996846,0.00008291136,0.000039876304,0.000025860283,0.00015504293,0.000011725267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036020693,0.00047630112,0.00038668147,0.0007221413,0.00033358013,0.00039185214,0.000711086,0.00040910702,0.0009859228],"category_scores_gemma":[0.0011682765,0.0003758128,0.00047627813,0.00065578416,0.00033092257,0.0012814422,0.0004948303,0.00054141006,0.00024573423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012181816,0.00008551351,0.0069183814,0.0005217689,0.00007175964,0.0002930694,0.00047299205,0.43153855,0.12058171,0.021302937,0.001961259,0.4161302],"study_design_scores_gemma":[0.0000059441313,0.000032086362,0.00073782017,0.0000059635277,0.00001357609,0.00010087966,0.000020017125,0.98471594,0.011167394,0.0008743476,0.0023097452,0.00001635716],"about_ca_topic_score_codex":0.0034998895,"about_ca_topic_score_gemma":0.0025916684,"teacher_disagreement_score":0.0034998895,"about_ca_system_score_codex":0.0003576352,"about_ca_system_score_gemma":0.0007904322,"threshold_uncertainty_score":0.006959021},"labels":[],"label_agreement":null},{"id":"W2593438253","doi":"10.1155/2017/2742540","title":"On Best Corrected Mixture Problems in Metallurgy: A Case Study","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Minimum weight; Mathematics; Mathematical optimization; Simple (philosophy); Applied mathematics; Statistics","score_opus":0.014706148324046148,"score_gpt":0.23961653455360907,"score_spread":0.22491038622956291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593438253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13590713,0.0028606125,0.8372223,0.001498477,0.00015286994,0.00024031293,0.000121529876,0.00021182114,0.021784965],"genre_scores_gemma":[0.73261416,0.0010478172,0.24911757,0.00015870937,0.00013589146,0.00017375646,0.00014469365,0.00015883414,0.01644854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99796677,0.00086845894,0.000098549936,0.0002798642,0.0005750771,0.0002113467],"domain_scores_gemma":[0.99586713,0.0030762118,0.00032607847,0.00021044978,0.00035046344,0.00016966103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037547126,0.0015662303,0.0017185712,0.0018139862,0.0019032574,0.0031081352,0.0018767581,0.0049459017,0.005121192],"category_scores_gemma":[0.009141604,0.00068903767,0.0017165387,0.0021755074,0.0022438276,0.0023436071,0.002573469,0.0020933622,0.00042905484],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000253958,0.00021924888,0.0013283624,0.0002900056,0.00009032648,0.0010519603,0.00020677457,0.87114364,0.002009863,0.07902764,0.0018368604,0.04254144],"study_design_scores_gemma":[0.00006243699,0.00020114279,0.00059109175,0.00006228481,0.00006205542,0.0007599553,0.00018264567,0.88270074,0.0031370888,0.10635511,0.0058196606,0.00006576604],"about_ca_topic_score_codex":0.0029578607,"about_ca_topic_score_gemma":0.0029572686,"teacher_disagreement_score":0.005121192,"about_ca_system_score_codex":0.001694008,"about_ca_system_score_gemma":0.0010597506,"threshold_uncertainty_score":0.019857109},"labels":[],"label_agreement":null},{"id":"W2594843143","doi":"10.1155/2017/7920649","title":"A New Approach of Waveform Interpretation Applied in Nondestructive Testing of Defects in Rock Bolts Based on Mode Identification","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Key Research and Development Program of China; China Scholarship Council; Ontario Centres of Excellence","keywords":"Nondestructive testing; Waveform; Rock bolt; Sensitivity (control systems); Parametric statistics; Amplitude; Structural engineering; Ultrasonic sensor; Finite element method; Acoustics; Grout; Geology; Dispersion (optics); Geotechnical engineering; Engineering; Optics; Mathematics; Physics; Electronic engineering; Statistics","score_opus":0.013315748236104761,"score_gpt":0.22026196468372264,"score_spread":0.20694621644761788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594843143","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036678135,0.000114326314,0.9951761,0.000023623841,0.000021151209,0.000032486165,0.000015051843,0.00023646935,0.00071299466],"genre_scores_gemma":[0.119845726,0.0004395234,0.8776405,0.000061825725,0.000045703,0.00013322034,0.00009227973,0.00009684335,0.0016443521],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992053,0.00012718493,0.000056875084,0.00018599955,0.00039044948,0.00003431742],"domain_scores_gemma":[0.9991954,0.00024824552,0.0001194526,0.00013312118,0.00027516668,0.000028591407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063674204,0.00095262413,0.00059466466,0.0020447702,0.00030110913,0.00093181134,0.0009835492,0.000705299,0.0013661238],"category_scores_gemma":[0.0018545664,0.0004003011,0.0005394099,0.0010636917,0.00076312025,0.0016064484,0.0008374031,0.00086571614,0.0005728075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017021807,0.00012733956,0.0029193566,0.00052249565,0.00006523816,0.00045609643,0.0005310949,0.037192684,0.29274747,0.026206639,0.0013646572,0.6376967],"study_design_scores_gemma":[0.000025309584,0.00033210102,0.0026546386,0.000060959494,0.00006146978,0.0018423374,0.0002068834,0.879929,0.090930164,0.014040501,0.009788398,0.00012812368],"about_ca_topic_score_codex":0.00048778646,"about_ca_topic_score_gemma":0.00043026597,"teacher_disagreement_score":0.0020447702,"about_ca_system_score_codex":0.00031596693,"about_ca_system_score_gemma":0.0004534361,"threshold_uncertainty_score":0.004570186},"labels":[],"label_agreement":null},{"id":"W2598217660","doi":"10.1155/2017/4682409","title":"Optimal Cost‐Effective Maintenance Policy for a Helicopter Gearbox Early Fault Detection under Varying Load","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Graduate Education; University of Toronto; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Graduate Research and Innovation Projects of Jiangsu Province; China Scholarship Council","keywords":"Unobservable; Control limits; Bayesian probability; Multivariate statistics; Fault (geology); Fault detection and isolation; Hidden Markov model; Control chart; Engineering; Hidden semi-Markov model; Computer science; Optimal maintenance; Markov chain; Partially observable Markov decision process; Minification; Mathematical optimization; Reliability engineering; Markov model; Process (computing); Artificial intelligence; Econometrics; Machine learning; Variable-order Markov model; Mathematics","score_opus":0.010743039190355106,"score_gpt":0.23897825268764486,"score_spread":0.22823521349728976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598217660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17677265,0.00032263732,0.8194135,0.00030477287,0.00002822294,0.00005628636,0.00007356411,0.0004216412,0.002606703],"genre_scores_gemma":[0.9897254,0.00006219616,0.009589599,0.000015360705,0.0000060601537,0.000024541048,0.000020644085,0.000008602691,0.0005477392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997193,0.00005352004,0.000015930576,0.000071721886,0.00008344159,0.000056031422],"domain_scores_gemma":[0.99922645,0.00037085064,0.00017601103,0.000030278672,0.0001554359,0.00004089385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069156266,0.00045465838,0.00059182936,0.00039998544,0.00029533898,0.0006386817,0.00062203186,0.00058364886,0.0010447223],"category_scores_gemma":[0.0021289364,0.00022003162,0.00024396772,0.00021989089,0.00038920145,0.00057497877,0.0003808231,0.0005292058,0.000087233064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012540704,0.000049500373,0.00069135195,0.00004879163,0.000012161285,0.00004162439,0.000044762022,0.96321625,0.0047910106,0.0044256207,0.0004631396,0.026090436],"study_design_scores_gemma":[0.0000049535056,0.000017288641,0.00023650263,0.0000017630007,0.0000042397387,0.0000045913293,0.000003935691,0.99858105,0.0005530567,0.0005432859,0.000046555255,0.000002704837],"about_ca_topic_score_codex":0.009053313,"about_ca_topic_score_gemma":0.004679452,"teacher_disagreement_score":0.009053313,"about_ca_system_score_codex":0.00096587965,"about_ca_system_score_gemma":0.0010789093,"threshold_uncertainty_score":0.018001258},"labels":[],"label_agreement":null},{"id":"W2604485348","doi":"10.1155/2017/4575926","title":"Online Adaptive Optimal Control of Vehicle Active Suspension Systems Using Single‐Network Approximate Dynamic Programming","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Zhejiang University of Technology; Zhejiang University; National Natural Science Foundation of China","keywords":"Control theory (sociology); Sprung mass; Dynamic programming; Active suspension; Optimal control; Lyapunov function; Suspension (topology); Linear-quadratic regulator; Adaptive control; Controller (irrigation); Hamilton–Jacobi–Bellman equation; Parametric statistics; Computer science; Engineering; Mathematics; Mathematical optimization; Control engineering; Control (management); Nonlinear system; Actuator","score_opus":0.022306285279354316,"score_gpt":0.2466972457208165,"score_spread":0.22439096044146217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604485348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04295298,0.00023106989,0.9523077,0.00015349535,0.000046739475,0.00003147687,0.000022362714,0.0001801604,0.004074012],"genre_scores_gemma":[0.97510433,0.00016667285,0.022468295,0.000034731824,0.000025167652,0.0000997717,0.00003083561,0.000013995075,0.0020562445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982774,0.00004231736,0.000008975787,0.000041967505,0.000050215353,0.000028857658],"domain_scores_gemma":[0.99966836,0.00018211777,0.00005548545,0.000014132249,0.000065888526,0.000013966417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041786354,0.0005814454,0.00067610055,0.00022729374,0.00035636895,0.0007816945,0.0005542778,0.0005241822,0.0007806724],"category_scores_gemma":[0.0007349647,0.00033565526,0.00036070799,0.0002954406,0.00058154325,0.00042280622,0.0005789701,0.00061859813,0.00009903876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039522252,0.000022457058,0.0001545477,0.000042889915,0.000018309855,0.000036517373,0.000033256358,0.9790365,0.0021578427,0.0027292965,0.00019288126,0.015535898],"study_design_scores_gemma":[0.000003257374,0.000015659376,0.000032393862,8.8627525e-7,0.0000017614411,0.0000023755983,0.0000021797744,0.9994042,0.0001318285,0.0003137714,0.00009046359,0.0000012209806],"about_ca_topic_score_codex":0.007974653,"about_ca_topic_score_gemma":0.0047833305,"teacher_disagreement_score":0.007974653,"about_ca_system_score_codex":0.00043513687,"about_ca_system_score_gemma":0.00073218025,"threshold_uncertainty_score":0.015856445},"labels":[],"label_agreement":null},{"id":"W2621229391","doi":"10.1155/2017/1089645","title":"Damage Detection in Grid Structures Using Limited Modal Test Data","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Xuzhou Science and Technology Bureau; National Natural Science Foundation of China","keywords":"Modal; Grid; Structural engineering; Test data; Finite element method; Dimension (graph theory); Computer science; Algorithm; Norm (philosophy); Modal testing; Stiffness; Modal analysis; Mathematics; Engineering; Geometry; Materials science","score_opus":0.061013434362688204,"score_gpt":0.3099198035218495,"score_spread":0.2489063691591613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621229391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49442452,0.00008121643,0.5026783,0.00006168865,0.0000146250295,0.00004817691,0.0002057417,0.00078296673,0.0017028606],"genre_scores_gemma":[0.95707387,0.000041778607,0.04222159,0.000016684538,0.0000039694614,0.000038601476,0.0001838264,0.000021055159,0.00039860848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996971,0.00006421313,0.000018926521,0.00006046255,0.0001395161,0.000019820565],"domain_scores_gemma":[0.9989674,0.00041691132,0.0001746675,0.00021325734,0.00018645357,0.000041246913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035674134,0.0004069211,0.00036479696,0.0009508473,0.00016472221,0.0003458681,0.0006267614,0.0005068325,0.0015703704],"category_scores_gemma":[0.0023767021,0.00020832002,0.00023563496,0.0003598123,0.000314605,0.00094028824,0.00061895757,0.00032764865,0.0002943363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006515542,0.0002792907,0.046895497,0.00033630338,0.00008166321,0.00050177827,0.0003614011,0.3759958,0.3005827,0.0028842578,0.0008694384,0.2705603],"study_design_scores_gemma":[0.000008724502,0.000112897134,0.010461233,0.000013126662,0.000008255577,0.00012048743,0.000060624643,0.9655768,0.022407407,0.0009444026,0.00026482862,0.000021173535],"about_ca_topic_score_codex":0.0012598742,"about_ca_topic_score_gemma":0.0032558723,"teacher_disagreement_score":0.0015703704,"about_ca_system_score_codex":0.000215531,"about_ca_system_score_gemma":0.00023567313,"threshold_uncertainty_score":0.005253434},"labels":[],"label_agreement":null},{"id":"W2750313416","doi":"10.1155/2017/2139791","title":"Modified Approach for Optimization of Real Life Transportation Problem in Neutrosophic Environment","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Transportation theory; Minification; Transshipment (information security); Computer science; Mathematical optimization; Operations research; Mathematics","score_opus":0.021767164339711438,"score_gpt":0.21945711652749128,"score_spread":0.19768995218777985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750313416","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006218503,0.0011126022,0.9838882,0.00044309365,0.00017573638,0.00006458775,0.00006285855,0.00004614725,0.00798823],"genre_scores_gemma":[0.40121594,0.004096064,0.5678086,0.00071851717,0.0005883211,0.00067452434,0.00044374494,0.00021281086,0.024241444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924695,0.00028229473,0.000036564437,0.00015788569,0.00020648005,0.000069918715],"domain_scores_gemma":[0.9996939,0.00013102833,0.000025684396,0.000023991388,0.00010217029,0.000023288292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000977247,0.0011419365,0.0008683235,0.0010601272,0.0005785914,0.0012303442,0.0016638862,0.0015944784,0.005676135],"category_scores_gemma":[0.0013791807,0.0003384684,0.0017516945,0.0009636663,0.0005698449,0.0015573701,0.0012317683,0.0015148527,0.0005541933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010390183,0.00013546625,0.00072880054,0.0007506535,0.00017327983,0.00051668147,0.00024467224,0.7147304,0.007107915,0.18674713,0.008995719,0.07976536],"study_design_scores_gemma":[0.00001293983,0.00007119596,0.00018629225,0.000030198516,0.000033569802,0.00009763656,0.00004059708,0.96180356,0.00061163644,0.030649697,0.006446727,0.000015985035],"about_ca_topic_score_codex":0.0030856817,"about_ca_topic_score_gemma":0.003130568,"teacher_disagreement_score":0.005676135,"about_ca_system_score_codex":0.0012228156,"about_ca_system_score_gemma":0.00100579,"threshold_uncertainty_score":0.01898849},"labels":[],"label_agreement":null},{"id":"W2754611409","doi":"10.1155/2017/1670709","title":"A Parallel Biased Random‐Key Genetic Algorithm with Multiple Populations Applied to Irregular Strip Packing Problems","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Key (lock); Algorithm; Genetic algorithm; Computer science; Mathematics; Machine learning","score_opus":0.024421722242736862,"score_gpt":0.22584187228715238,"score_spread":0.20142015004441552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754611409","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06261807,0.0005249871,0.932144,0.00028147688,0.00008731514,0.00015237254,0.000038353664,0.00037135108,0.003782051],"genre_scores_gemma":[0.5562799,0.00043009364,0.4393889,0.00022862053,0.000052774605,0.0004849879,0.00011691742,0.00007332977,0.0029444846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994766,0.00019653502,0.000019586076,0.000081795195,0.00015190757,0.00007368834],"domain_scores_gemma":[0.9993363,0.00035740976,0.0000754255,0.00004731915,0.000142614,0.000040983152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010887448,0.0008667826,0.0010542982,0.0008145669,0.00055749924,0.00063626247,0.0014669738,0.001347911,0.0010959823],"category_scores_gemma":[0.002249272,0.000420108,0.0006839053,0.00087808265,0.00065310963,0.0005860483,0.0010018154,0.00073825725,0.00023991869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038573122,0.000030706313,0.000452981,0.000031332762,0.000032880795,0.00006129347,0.00004069625,0.96806425,0.0013795135,0.0031079252,0.00030899563,0.026450796],"study_design_scores_gemma":[0.000021999203,0.000032880158,0.00007435098,0.0000034554018,0.000008167054,0.000015869116,0.000005567705,0.99849653,0.00026293853,0.0007877685,0.00028685655,0.0000035595945],"about_ca_topic_score_codex":0.0060104113,"about_ca_topic_score_gemma":0.0043611415,"teacher_disagreement_score":0.0060104113,"about_ca_system_score_codex":0.00072778953,"about_ca_system_score_gemma":0.0015857801,"threshold_uncertainty_score":0.0119508505},"labels":[],"label_agreement":null},{"id":"W2767106323","doi":"10.1155/2017/9281321","title":"A Multicriteria Intelligence Aid Methodology Using MCDA, Artificial Intelligence, and Fuzzy Sets Theory","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Multiple-criteria decision analysis; Computer science; Ambiguity; Context (archaeology); Anticipation (artificial intelligence); Decision analysis; Management science; Intelligence analysis; Artificial intelligence; Operations research; Risk analysis (engineering); Engineering; Mathematics; Computer security","score_opus":0.10951414180031498,"score_gpt":0.32059580702710566,"score_spread":0.21108166522679067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767106323","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047257603,0.00016610349,0.9903532,0.00038069978,0.00003391674,0.00030022205,0.000089359055,0.00010779254,0.003842842],"genre_scores_gemma":[0.07054582,0.0001241448,0.9283912,0.000049270566,0.000017642842,0.000253118,0.0000643978,0.000013723877,0.0005406253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968291,0.0018321984,0.00017953002,0.00027412575,0.0007722289,0.000112733826],"domain_scores_gemma":[0.9967541,0.001811478,0.0003813518,0.00024706603,0.00068156637,0.00012449316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004807713,0.0011784273,0.000990481,0.0048084105,0.0011245946,0.0026575993,0.0019637193,0.0010969312,0.0038928345],"category_scores_gemma":[0.0074318894,0.000521771,0.0012561202,0.003480317,0.0013970116,0.0017381369,0.0029683528,0.0014300457,0.00030627695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008284132,0.00022553907,0.0036836083,0.0007533216,0.00026352765,0.0003288283,0.00071942934,0.39520165,0.0025660037,0.34842587,0.004386121,0.24336328],"study_design_scores_gemma":[0.000038338145,0.000094339135,0.00068068237,0.0001441755,0.000052915824,0.00015829944,0.00037253185,0.844123,0.001417246,0.14099242,0.01188219,0.000043943877],"about_ca_topic_score_codex":0.004413039,"about_ca_topic_score_gemma":0.0071299635,"teacher_disagreement_score":0.0048084105,"about_ca_system_score_codex":0.002130785,"about_ca_system_score_gemma":0.003565925,"threshold_uncertainty_score":0.025425911},"labels":[],"label_agreement":null},{"id":"W2776917686","doi":"10.1155/2017/7901918","title":"Maximum Likelihood Estimation of Model Uncertainty in Predicting Soil Nail Loads Using Default and Modified FHWA Simplified Methods","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Log-normal distribution; Statistics; Soil nailing; Nail (fastener); Monte Carlo method; Mathematics; Calibration; Bayesian probability; Maximum likelihood; Reliability (semiconductor); Engineering; Structural engineering","score_opus":0.027558087306924224,"score_gpt":0.288167210988773,"score_spread":0.2606091236818488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776917686","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1013022,0.000117700554,0.8971994,0.000054889057,0.000006680858,0.000043201573,0.0001172702,0.00035388905,0.0008048941],"genre_scores_gemma":[0.86401594,0.00010313958,0.13472593,0.000026721096,0.000008813488,0.00013457185,0.00031713635,0.000051635954,0.00061605166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978404,0.0010043016,0.00014630113,0.00030699727,0.00060417777,0.00009782006],"domain_scores_gemma":[0.9924056,0.0052596494,0.0005901776,0.00067240314,0.0010243785,0.000047760117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043126117,0.00080273807,0.0007652438,0.0012969434,0.00033660766,0.00087082747,0.0014277067,0.0007940593,0.00067320594],"category_scores_gemma":[0.018284947,0.00047716405,0.00071509305,0.0006966876,0.00052268995,0.0012030493,0.0008946292,0.0007333747,0.00018455794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069677524,0.00004091258,0.0062752045,0.00006983639,0.00003805708,0.000057308065,0.00010306926,0.94919276,0.0027404183,0.0022467999,0.00021678595,0.038949188],"study_design_scores_gemma":[0.000002884522,0.000016935048,0.0012662332,0.000005039449,0.000004937286,0.0000142281515,0.000009505547,0.99710494,0.0007191948,0.0007634442,0.00008416378,0.0000085204565],"about_ca_topic_score_codex":0.009191691,"about_ca_topic_score_gemma":0.007146957,"teacher_disagreement_score":0.009191691,"about_ca_system_score_codex":0.0008062995,"about_ca_system_score_gemma":0.0010280184,"threshold_uncertainty_score":0.022807479},"labels":[],"label_agreement":null},{"id":"W2783307174","doi":"10.1155/2018/9458410","title":"Integrative Analysis of Surface Runoff and Macropore Flow for Slopes under Rainfall Conditions","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Macropore; Surface runoff; Infiltration (HVAC); Rainwater harvesting; Environmental science; Soil science; Hydrology (agriculture); Soil water; Geotechnical engineering; Geology; Materials science","score_opus":0.010590380807928845,"score_gpt":0.23412835902437953,"score_spread":0.2235379782164507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783307174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8915454,0.00016329237,0.1074421,0.000023376311,0.000003581422,0.000043647135,0.00009822742,0.00012195744,0.00055833923],"genre_scores_gemma":[0.9918681,0.00010959937,0.0077389725,0.0000024038218,0.0000037519405,0.000017599614,0.00006252757,0.000006954369,0.00019009777],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999124,0.000013569404,0.0000040097193,0.000027542621,0.000029699502,0.000012782821],"domain_scores_gemma":[0.9999025,0.000034275636,0.000026860109,0.0000065593294,0.000018341632,0.000011501711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019064313,0.0004417279,0.00038472976,0.0007557566,0.00014533833,0.00029925036,0.0002303984,0.00025899545,0.0002552847],"category_scores_gemma":[0.00037152585,0.00014852048,0.00029170973,0.0004098958,0.00025434283,0.0005177576,0.00030204907,0.00020200749,0.00005922622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003186565,0.00029563575,0.08370785,0.00022508067,0.00010347482,0.0005474904,0.0003329987,0.26311827,0.5229068,0.0016681397,0.00016613693,0.12660946],"study_design_scores_gemma":[0.000010345059,0.00021715713,0.04960078,0.0000046348414,0.00003482771,0.000107769105,0.00015326867,0.9192488,0.029572524,0.00080112065,0.00022495052,0.000023777766],"about_ca_topic_score_codex":0.0010848845,"about_ca_topic_score_gemma":0.0019769827,"teacher_disagreement_score":0.0010848845,"about_ca_system_score_codex":0.00016054428,"about_ca_system_score_gemma":0.00028539,"threshold_uncertainty_score":0.002157092},"labels":[],"label_agreement":null},{"id":"W2784310694","doi":"10.1155/2018/8308643","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mrow><mml:mi>T</mml:mi></mml:mrow></mml:math>-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M2\"><mml:mrow><mml:mi>Ω</mml:mi></mml:mrow></mml:math> Formulation with Higher-Order Hierarchical Basis Functions for Nonsimply Connected Conductors","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Algorithm; Basis (linear algebra); Artificial intelligence; Computer science; Mathematics; Machine learning; Geometry","score_opus":0.020415849922901897,"score_gpt":0.2465264020800445,"score_spread":0.2261105521571426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784310694","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033830875,0.00030012705,0.86207837,0.0016378111,0.00067349285,0.000105542254,0.0012660096,0.002146645,0.12840892],"genre_scores_gemma":[0.112342246,0.0025069867,0.64347893,0.0018097126,0.00085276325,0.0005149517,0.007153223,0.0062080035,0.22513318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994923,0.00012397961,0.00003575353,0.00006488337,0.00023900843,0.000044078108],"domain_scores_gemma":[0.99942315,0.00009707704,0.0000435678,0.00021943953,0.00017057841,0.00004616173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007597477,0.0007573406,0.00059648993,0.00082485896,0.00058108085,0.0022567853,0.001735436,0.0015787565,0.049690835],"category_scores_gemma":[0.0012842078,0.0004041928,0.00074517744,0.0011304903,0.00075294153,0.0027009991,0.0011213489,0.0022364066,0.026120957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009312062,0.00013706592,0.00030613274,0.00036322782,0.000025280786,0.00032714193,0.00031550167,0.029555516,0.01619723,0.64286315,0.16123478,0.14858185],"study_design_scores_gemma":[0.00005373917,0.000086768545,0.000496866,0.000109837296,0.000020203817,0.00038273877,0.0002676983,0.19007768,0.014089895,0.19987363,0.59448403,0.00005694981],"about_ca_topic_score_codex":0.0020054863,"about_ca_topic_score_gemma":0.0041783554,"teacher_disagreement_score":0.049690835,"about_ca_system_score_codex":0.00080001,"about_ca_system_score_gemma":0.0010014528,"threshold_uncertainty_score":0.1662324},"labels":[],"label_agreement":null},{"id":"W2792713528","doi":"10.1155/2018/1871674","title":"Elastic Stress Analysis of Rotating Functionally Graded Annular Disk of Variable Thickness Using Finite Difference Method","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Radial stress; Materials science; Stress (linguistics); Boundary value problem; Elasticity (physics); Deformation (meteorology); Elastic modulus; Cylinder stress; Displacement (psychology); Mechanics; Composite material; Mathematics; Mathematical analysis; Physics; Ultimate tensile strength","score_opus":0.010652307075685569,"score_gpt":0.23175624879931578,"score_spread":0.2211039417236302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792713528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6855581,0.00083395286,0.30575737,0.00019746619,0.000067602705,0.000033759552,0.000108953886,0.00016558914,0.007277193],"genre_scores_gemma":[0.9812887,0.00015268226,0.017301671,0.000012785037,0.000008667057,0.00001163638,0.000038122576,0.000010039867,0.0011757356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999193,0.000013927568,0.0000051915626,0.000016233298,0.00003597718,0.000009306587],"domain_scores_gemma":[0.9998141,0.000057516303,0.00004193017,0.000021562733,0.000053962667,0.0000109377415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002088106,0.0002937375,0.0003182901,0.00029395937,0.00016036298,0.00031617816,0.0005401073,0.00041323673,0.00057802594],"category_scores_gemma":[0.00044140333,0.00014670899,0.00030224782,0.00018572765,0.0003751311,0.0002453269,0.00016553515,0.00015145325,0.00008691662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001884525,0.00006468313,0.0038653912,0.00020731433,0.000036953494,0.000419853,0.00018231192,0.7390373,0.21685718,0.010701025,0.00039637546,0.028043253],"study_design_scores_gemma":[0.0000040639584,0.000039528717,0.0008524973,0.0000048644083,0.0000046248997,0.00005077345,0.000018591305,0.99029887,0.008039186,0.0003821905,0.00029737747,0.000007391753],"about_ca_topic_score_codex":0.0013158865,"about_ca_topic_score_gemma":0.00080155104,"teacher_disagreement_score":0.0013158865,"about_ca_system_score_codex":0.0002973665,"about_ca_system_score_gemma":0.00027155664,"threshold_uncertainty_score":0.002616465},"labels":[],"label_agreement":null},{"id":"W2802449516","doi":"10.1155/2018/6181756","title":"Predicting Traffic Dynamics with Driver Response Model for Proactive Variable Speed Limit Control Algorithm","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Speed limit; Crash; Traffic flow (computer networking); Limit (mathematics); Variable (mathematics); Reliability (semiconductor); Field (mathematics); Computer science; Simulation; Driving simulator; Control variable; Control (management); Engineering; Control theory (sociology); Transport engineering; Machine learning; Artificial intelligence; Mathematics","score_opus":0.007541091150711243,"score_gpt":0.1872744072788556,"score_spread":0.17973331612814436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802449516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17913398,0.0003351638,0.81372845,0.00039074363,0.00009019305,0.00014318565,0.0001240474,0.00087583956,0.0051783365],"genre_scores_gemma":[0.98598236,0.000093354385,0.012209556,0.00003928903,0.000014332247,0.00015127615,0.00008473087,0.000014490781,0.0014105943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997446,0.000049266688,0.000016724287,0.00008153064,0.000056585195,0.00005130875],"domain_scores_gemma":[0.9996138,0.00016458915,0.000058988175,0.000015824467,0.00012508381,0.00002164917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005810634,0.00075218035,0.0006501225,0.0004161177,0.00044704732,0.000734855,0.0008785651,0.0009163351,0.0011994393],"category_scores_gemma":[0.001105206,0.0003790744,0.00054340233,0.0002255817,0.0003403062,0.00045325138,0.0006252573,0.0009685446,0.00019865757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023014129,0.00002494796,0.00082824763,0.000015483482,0.00000910621,0.000022879827,0.000023091472,0.99276334,0.000891493,0.0005283516,0.00012610407,0.00474397],"study_design_scores_gemma":[0.000002027557,0.000008332397,0.00007214641,7.81081e-7,0.0000018444662,0.000001437675,0.0000017960418,0.99970907,0.00008823721,0.00007291615,0.000039961036,0.0000014093018],"about_ca_topic_score_codex":0.020754563,"about_ca_topic_score_gemma":0.0084393,"teacher_disagreement_score":0.020754563,"about_ca_system_score_codex":0.00063653296,"about_ca_system_score_gemma":0.001230728,"threshold_uncertainty_score":0.041267514},"labels":[],"label_agreement":null},{"id":"W2803774909","doi":"10.1155/2018/2841325","title":"Simultaneous Hierarchical Clustering for Cell Formation Problems with Production Information","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Similarity (geometry); Cluster analysis; Aggregate (composite); Hierarchical clustering; Dependency (UML); Cellular manufacturing; Computer science; Data mining; Group technology; Process (computing); Metaheuristic; Matrix (chemical analysis); Quality (philosophy); Mathematics; Algorithm; Mathematical optimization; Artificial intelligence; Engineering","score_opus":0.007668871086322951,"score_gpt":0.19431486596092945,"score_spread":0.1866459948746065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803774909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015208156,0.00034435393,0.9817748,0.00010998584,0.00002491612,0.000088218476,0.000073271534,0.0001278033,0.002248489],"genre_scores_gemma":[0.5030283,0.0005862119,0.48939505,0.00010115608,0.000060125927,0.0005218441,0.00060606713,0.0001270982,0.0055740825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910396,0.00030912692,0.000042156265,0.0001735327,0.00023832117,0.00013283419],"domain_scores_gemma":[0.9982672,0.0010257623,0.0001949558,0.00012098815,0.00030736387,0.0000836923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544191,0.0012804808,0.0013217058,0.001646386,0.0010118749,0.0011347926,0.0019652206,0.0014680548,0.0023427],"category_scores_gemma":[0.0034049822,0.0006658863,0.0014170469,0.0022977928,0.00076716114,0.0012423783,0.0016032578,0.0010841205,0.00039194367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003818323,0.00002852878,0.0003798342,0.0000948314,0.00003629846,0.000064310225,0.00007613597,0.9601773,0.00088628044,0.009484583,0.0009966729,0.027737131],"study_design_scores_gemma":[0.0000057839634,0.000015289197,0.00007886415,0.0000053725335,0.000007566421,0.000013589081,0.000025588524,0.99371004,0.00036079602,0.005254211,0.0005165542,0.000006398016],"about_ca_topic_score_codex":0.011663616,"about_ca_topic_score_gemma":0.011129048,"teacher_disagreement_score":0.011663616,"about_ca_system_score_codex":0.001654833,"about_ca_system_score_gemma":0.0017809727,"threshold_uncertainty_score":0.023191452},"labels":[],"label_agreement":null},{"id":"W2810939921","doi":"10.1155/2018/4725148","title":"Stochastic Stability of Coupled Viscoelastic Systems Excited by Real Noise","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lyapunov exponent; Mathematics; Moment (physics); Lyapunov function; Lyapunov equation; Mathematical analysis; Stability (learning theory); Parametric statistics; Noise (video); Viscoelasticity; Eigenvalues and eigenvectors; Statistical physics; Control theory (sociology); Applied mathematics; Nonlinear system; Physics; Classical mechanics; Statistics; Computer science; Quantum mechanics","score_opus":0.053052082540588616,"score_gpt":0.2905615334065,"score_spread":0.23750945086591135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810939921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7091658,0.0003934941,0.28627503,0.00028960046,0.000031003172,0.000020108955,0.000038884726,0.00011813777,0.0036678736],"genre_scores_gemma":[0.99742883,0.000063506675,0.001907715,0.0000114593695,0.0000076462775,0.000010050219,0.000010076102,0.0000041752833,0.00055655953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960023,0.00012607539,0.000019495763,0.00007530281,0.00013049669,0.000048412974],"domain_scores_gemma":[0.998809,0.0006724318,0.00028904935,0.000055341767,0.00012608871,0.00004809112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007695158,0.00035649468,0.0005486437,0.0005158628,0.00036791773,0.00062952243,0.00037914177,0.0005356613,0.00038201286],"category_scores_gemma":[0.0025786515,0.00018975884,0.00038437505,0.00027636255,0.0011709381,0.00060944376,0.0007491562,0.00036090525,0.000044897326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010027015,0.000020335576,0.001422785,0.000046731315,0.000054001895,0.00027498358,0.000136351,0.92179424,0.02066837,0.05045426,0.00012071737,0.004906804],"study_design_scores_gemma":[0.000002558581,0.000014595696,0.0002425081,0.0000017336677,0.0000031273169,0.000015970754,0.0000067507026,0.9958676,0.00050121726,0.0032994202,0.0000384837,0.000006014423],"about_ca_topic_score_codex":0.0012971313,"about_ca_topic_score_gemma":0.00053827517,"teacher_disagreement_score":0.0012971313,"about_ca_system_score_codex":0.00045384327,"about_ca_system_score_gemma":0.00034809532,"threshold_uncertainty_score":0.0040696263},"labels":[],"label_agreement":null},{"id":"W2886568220","doi":"10.1155/2018/1654751","title":"Automating XFEM Modeling Process for Optimal Failure Predictions","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Numerical methods in engineering","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Algorithm; Computer science; Identification (biology); Materials science; Artificial intelligence; Machine learning","score_opus":0.02486997367155013,"score_gpt":0.2798246133984301,"score_spread":0.25495463972688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886568220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038056068,0.0002426747,0.93117136,0.00029574672,0.0000933198,0.00024305105,0.0025848472,0.014700145,0.012612769],"genre_scores_gemma":[0.3265867,0.000686588,0.6506204,0.0001649609,0.00005634055,0.00140119,0.0046902485,0.004825754,0.010967869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996314,0.000045633395,0.000021762016,0.00006506058,0.00019471704,0.000041403677],"domain_scores_gemma":[0.9993155,0.00022321174,0.000050372277,0.0001338099,0.00025420618,0.000022839882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015420545,0.0012238736,0.00096625014,0.0009198323,0.00092722947,0.001482474,0.0014255702,0.0012067339,0.015384073],"category_scores_gemma":[0.002365613,0.00077356334,0.001004904,0.0005935401,0.00030536612,0.0013570117,0.00081806415,0.0013134824,0.004587168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002110933,0.00013732763,0.0051292395,0.000533323,0.00006742277,0.0005942653,0.00056864135,0.7602898,0.06554443,0.016967544,0.021575032,0.12838188],"study_design_scores_gemma":[0.000018359668,0.00003016879,0.0007212708,0.00003919991,0.000009428735,0.00006570675,0.000041886295,0.9623487,0.021956151,0.0023725147,0.012368354,0.000028250635],"about_ca_topic_score_codex":0.00434581,"about_ca_topic_score_gemma":0.004177544,"teacher_disagreement_score":0.015384073,"about_ca_system_score_codex":0.0008721614,"about_ca_system_score_gemma":0.0014894812,"threshold_uncertainty_score":0.051464856},"labels":[],"label_agreement":null},{"id":"W2888975455","doi":"10.1155/2018/7049329","title":"Planning of Electric Power Systems Considering Virtual Power Plants with Dispatchable Loads Included: An Inexact Two-Stage Stochastic Linear Programming Model","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; North China Electrical Power University","keywords":"Dispatchable generation; Stochastic programming; Mathematical optimization; Linear programming; Computer science; Interval (graph theory); Virtual power plant; Electricity; Reliability engineering; Electric power system; Demand response; Power (physics); Event (particle physics); Operations research; Electric power; Electricity generation; Engineering; Mathematics","score_opus":0.014270214588767705,"score_gpt":0.22493182259985758,"score_spread":0.21066160801108988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888975455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024531225,0.00018402979,0.9713,0.00025682585,0.00003212104,0.000052876032,0.00011381416,0.00011514555,0.0034139284],"genre_scores_gemma":[0.9196411,0.00043506495,0.07321285,0.0000850545,0.000045481436,0.00035929968,0.00021342319,0.000044977118,0.0059627444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992632,0.00031099637,0.0000312885,0.00014142826,0.00015855097,0.00009441274],"domain_scores_gemma":[0.99894124,0.0006603236,0.000160979,0.000034764817,0.0001458662,0.00005681837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011661452,0.0011057237,0.0012876967,0.00045750712,0.00042705314,0.0015536952,0.0012477208,0.0015346396,0.0020007514],"category_scores_gemma":[0.0020863514,0.0010203711,0.0010696353,0.00071907847,0.00092521554,0.0011567345,0.00092578394,0.0014671505,0.00018185488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008068055,0.0000046329483,0.000062002946,0.000013606179,0.00000511922,0.000029129755,0.000007763947,0.9968389,0.000089359615,0.0019766889,0.00004326522,0.0009215269],"study_design_scores_gemma":[0.000002486946,0.000007706189,0.00002015488,0.0000014592907,0.0000023260898,0.0000031454076,0.000002893935,0.9990841,0.000044593336,0.0007606899,0.00006864914,0.0000017002365],"about_ca_topic_score_codex":0.009900298,"about_ca_topic_score_gemma":0.006656056,"teacher_disagreement_score":0.009900298,"about_ca_system_score_codex":0.0009346237,"about_ca_system_score_gemma":0.0017313279,"threshold_uncertainty_score":0.019685328},"labels":[],"label_agreement":null},{"id":"W2898380208","doi":"10.1155/2018/8705363","title":"Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Government of Shandong Province; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Observer (physics); Control theory (sociology); Estimator; Fault (geology); Fault detection and isolation; Mode (computer interface); State observer; State (computer science); Computer science; Engineering; Control engineering; Algorithm; Mathematics; Control (management); Statistics; Nonlinear system; Artificial intelligence","score_opus":0.015907252275773796,"score_gpt":0.24890415543859193,"score_spread":0.23299690316281813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898380208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028155793,0.0007669736,0.96834904,0.00017067979,0.00004754451,0.000024931756,0.000016913875,0.00016203125,0.0023061482],"genre_scores_gemma":[0.9581671,0.0007877387,0.038913578,0.000055654607,0.000041214447,0.000049323426,0.000034430675,0.00001226643,0.0019387141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984026,0.000033931305,0.000015006149,0.00003943434,0.000052587573,0.000018765058],"domain_scores_gemma":[0.99967384,0.00017060575,0.000071692295,0.000020007128,0.00005612958,0.000007742326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032939564,0.00046524385,0.0004868878,0.00039660296,0.00040915108,0.0006723644,0.0004386538,0.00073591917,0.00069719506],"category_scores_gemma":[0.0012080341,0.00018771901,0.0004062881,0.0002882465,0.00049091515,0.0006398055,0.00033525296,0.00054713653,0.00007994906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014710387,0.00006118415,0.0018342945,0.000370077,0.000070912145,0.0003506389,0.00048877706,0.84743524,0.028268736,0.035633404,0.00046328167,0.084876336],"study_design_scores_gemma":[0.0000053410754,0.00004330732,0.00028547226,0.000012112321,0.0000146255,0.000037203863,0.000020791864,0.9921989,0.0019287285,0.0047199605,0.0007242368,0.000009307266],"about_ca_topic_score_codex":0.004611463,"about_ca_topic_score_gemma":0.0021041627,"teacher_disagreement_score":0.004611463,"about_ca_system_score_codex":0.00053218997,"about_ca_system_score_gemma":0.00045700738,"threshold_uncertainty_score":0.009169221},"labels":[],"label_agreement":null},{"id":"W2899199563","doi":"10.1155/2018/8465020","title":"CFD-Based Optimization of Fluid Flow Product Aided by Artificial Intelligence and Design Space Validation","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Solver; Computational fluid dynamics; Computer science; Metamodeling; MATLAB; Python (programming language); Engineering design process; Control engineering; Mathematical optimization; Engineering; Mechanical engineering; Mathematics; Aerospace engineering","score_opus":0.02729831506858458,"score_gpt":0.2484841063735433,"score_spread":0.22118579130495872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899199563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027897539,0.000117697884,0.9654799,0.00006607468,0.000029397937,0.000065958775,0.0000770573,0.0007553601,0.0055109654],"genre_scores_gemma":[0.57309234,0.00016599966,0.42240706,0.000049358237,0.000014698644,0.00037679862,0.00027811222,0.00025173073,0.003363934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966705,0.000108944994,0.000018585646,0.000037698817,0.00014003925,0.000027710283],"domain_scores_gemma":[0.99942696,0.00028468602,0.00005636157,0.00006885198,0.00014821281,0.000015010034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010486066,0.0006482343,0.00074678904,0.00062951434,0.00044135243,0.0007354852,0.00057353027,0.00074334966,0.0022397905],"category_scores_gemma":[0.0016321533,0.00036231466,0.00068455975,0.00045857226,0.0005218999,0.0004065264,0.000588302,0.00054864684,0.00039914594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029064537,0.00001936727,0.0003026954,0.0000506336,0.000009998875,0.000020833524,0.000020888114,0.97618574,0.0031377536,0.0028944102,0.00022574358,0.017102798],"study_design_scores_gemma":[0.0000028746058,0.000009248023,0.00006458097,0.0000031157012,0.0000016784418,0.000004208205,0.0000022270037,0.9979298,0.0011173837,0.00040505844,0.000457653,0.000002076546],"about_ca_topic_score_codex":0.0026152572,"about_ca_topic_score_gemma":0.0017774532,"teacher_disagreement_score":0.0026152572,"about_ca_system_score_codex":0.00061025866,"about_ca_system_score_gemma":0.0012366816,"threshold_uncertainty_score":0.0074928403},"labels":[],"label_agreement":null},{"id":"W2901019113","doi":"10.1155/2018/5794016","title":"Inexact Fuzzy Chance-Constrained Fractional Programming for Sustainable Management of Electric Power Systems","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; North China Electrical Power University","keywords":"Mathematical optimization; Electric power system; Fuzzy logic; Electric power; Computer science; Profit (economics); Linear programming; Electricity generation; Fractional programming; Operations research; Power (physics); Mathematics; Nonlinear programming; Economics; Artificial intelligence","score_opus":0.007558112393940884,"score_gpt":0.20134574791435836,"score_spread":0.19378763552041747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901019113","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012829843,0.00037673436,0.98118836,0.00026827963,0.00004729144,0.000025423436,0.00004940155,0.00004657118,0.005168147],"genre_scores_gemma":[0.8732577,0.00090773235,0.11871088,0.00010769581,0.00007793149,0.00021582643,0.000092622045,0.000044561497,0.006585015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995154,0.00018834043,0.000018615623,0.000059869733,0.00014813212,0.00006963422],"domain_scores_gemma":[0.99939024,0.00039534937,0.00008597601,0.000019788367,0.00007677328,0.000031884476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010835541,0.0008269193,0.0010537589,0.00057124544,0.00061132485,0.001544235,0.0007543848,0.001083483,0.0015825198],"category_scores_gemma":[0.0020895356,0.00038809312,0.000828655,0.00079379417,0.0009801212,0.0010424734,0.000979368,0.0011738742,0.000110479414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000824904,0.000006657825,0.00006297965,0.000019089848,0.0000069593443,0.00003276793,0.000016544222,0.98043025,0.00020895284,0.015743509,0.00016014722,0.0033038736],"study_design_scores_gemma":[0.000001250443,0.000005717146,0.00002015059,0.0000034074433,0.000001937513,0.0000043836217,0.0000043471114,0.99479115,0.000058820428,0.004922281,0.00018388196,0.0000028012564],"about_ca_topic_score_codex":0.0076451832,"about_ca_topic_score_gemma":0.0049563413,"teacher_disagreement_score":0.0076451832,"about_ca_system_score_codex":0.0014428659,"about_ca_system_score_gemma":0.0015660014,"threshold_uncertainty_score":0.01520139},"labels":[],"label_agreement":null},{"id":"W2901967197","doi":"10.1155/2018/5260639","title":"Analytical Solution of the Stability Problem for the Truncated Hemispherical Shell under Tensile Loading","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Buckling; Bifurcation; Shell (structure); Tension (geology); Stability (learning theory); Range (aeronautics); Mathematics; Ultimate tensile strength; Applied mathematics; Structural engineering; Materials science; Computer science; Engineering; Physics; Composite material; Nonlinear system","score_opus":0.019083333353562857,"score_gpt":0.21367644454652765,"score_spread":0.1945931111929648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901967197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09078294,0.00055251,0.88045806,0.00035371855,0.000068363595,0.000086065775,0.00014168494,0.00020214632,0.027354551],"genre_scores_gemma":[0.8872198,0.0009832283,0.08724635,0.00009145453,0.00009662361,0.0002755466,0.00023102705,0.00013343789,0.023722567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99989724,0.000021886284,0.0000060303173,0.000018387755,0.000040100775,0.000016376509],"domain_scores_gemma":[0.9996941,0.00012406723,0.0000537504,0.000019891026,0.00009364407,0.0000145416525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044235698,0.00050322403,0.00053166976,0.00063011044,0.0004803114,0.0006704425,0.0006769078,0.0013362004,0.003683794],"category_scores_gemma":[0.001468482,0.00027435579,0.00054846745,0.000330103,0.00091849983,0.0006572085,0.00072762143,0.0005855751,0.0005993965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005911122,0.000027614604,0.00069613877,0.00024184755,0.000021961507,0.00040386943,0.000234854,0.8846996,0.024253998,0.0658238,0.001358836,0.02217836],"study_design_scores_gemma":[0.0000039334805,0.000013621913,0.00014985213,0.000011373592,0.0000037357765,0.000069076326,0.000038341754,0.9933844,0.0010156705,0.0048247087,0.00047930575,0.0000059753243],"about_ca_topic_score_codex":0.0021564355,"about_ca_topic_score_gemma":0.0018822915,"teacher_disagreement_score":0.003683794,"about_ca_system_score_codex":0.0005422033,"about_ca_system_score_gemma":0.00091109506,"threshold_uncertainty_score":0.012323558},"labels":[],"label_agreement":null},{"id":"W2901985144","doi":"10.1155/2018/5308012","title":"Diagnostic Evaluation and Uncertainty Quantification of Earth and Environmental Systems Models","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Prince Edward Island","funders":"","keywords":"Earth system science; Earth (classical element); Environmental science; Earth science; Geology; Mathematics; Oceanography","score_opus":0.023511189695942507,"score_gpt":0.24685388142331774,"score_spread":0.22334269172737523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901985144","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058689304,0.0006735306,0.9337339,0.00069775904,0.00006284534,0.000086903245,0.00042463432,0.00048448375,0.005146641],"genre_scores_gemma":[0.90030915,0.00028852007,0.09690269,0.00007832582,0.00005005118,0.00008024722,0.00044862364,0.000090938345,0.0017514956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848264,0.0008365503,0.00006911473,0.00012199713,0.00040201828,0.00008770981],"domain_scores_gemma":[0.9948074,0.003999427,0.00028902004,0.00027715534,0.00055755675,0.000069440655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00408819,0.00063181913,0.0008631949,0.0022690692,0.00044718862,0.0019370497,0.00079649425,0.00094460195,0.0020107508],"category_scores_gemma":[0.019577533,0.0004293998,0.00084300217,0.00086048903,0.00097158266,0.0014583952,0.0013684958,0.00084897666,0.00013749904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006261453,0.00002322053,0.0009871714,0.000064723856,0.000048430367,0.00004772411,0.00003015047,0.94086856,0.0006665132,0.027890272,0.00067940046,0.028631203],"study_design_scores_gemma":[0.0000020508403,0.0000065114687,0.00009771643,0.0000061387627,0.000004913863,0.000006357707,0.0000032301684,0.9900955,0.00033026477,0.009248739,0.00019606449,0.0000024733092],"about_ca_topic_score_codex":0.008246465,"about_ca_topic_score_gemma":0.0046359957,"teacher_disagreement_score":0.008246465,"about_ca_system_score_codex":0.0019745887,"about_ca_system_score_gemma":0.0019040537,"threshold_uncertainty_score":0.02162069},"labels":[],"label_agreement":null},{"id":"W2912656244","doi":"10.1155/2019/5076438","title":"Model Uncertainty in Predicting Facing Tensile Forces of Soil Nail Walls Using Bayesian Approach","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Log-normal distribution; Ultimate tensile strength; Bayesian probability; Bayesian inference; Monte Carlo method; Mathematics; Statistics; Econometrics; Structural engineering; Computer science; Engineering; Materials science; Composite material","score_opus":0.012673531372684337,"score_gpt":0.19781333319052047,"score_spread":0.18513980181783612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912656244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3571372,0.00014499367,0.6404854,0.00014901787,0.0000089776495,0.0000468304,0.00019266992,0.00013828297,0.0016967304],"genre_scores_gemma":[0.9712687,0.00008750679,0.02817455,0.000015647056,0.0000060850693,0.00004272895,0.00014105886,0.000010530333,0.00025312768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983516,0.00069905946,0.00009853473,0.0002710244,0.00048748124,0.000092395305],"domain_scores_gemma":[0.99153227,0.006605387,0.0008175492,0.0002853531,0.00070038374,0.000059051163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053224447,0.00057442003,0.0006886277,0.001202721,0.00029348026,0.00083971716,0.0009400899,0.00073068304,0.0004413276],"category_scores_gemma":[0.016904624,0.00059771066,0.00057675026,0.0005691034,0.0005027269,0.0012396548,0.0006625159,0.00060248416,0.00009587651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017606764,0.000012364891,0.003465505,0.000015531543,0.00001319287,0.000019884841,0.00003005174,0.9885119,0.00040784842,0.0015490702,0.000044035784,0.005912995],"study_design_scores_gemma":[0.0000020823209,0.0000114556915,0.0013783548,0.0000061390338,0.0000045965735,0.000008625055,0.000011016873,0.99639773,0.0002392578,0.00189339,0.000039942333,0.000007389991],"about_ca_topic_score_codex":0.010223684,"about_ca_topic_score_gemma":0.011733587,"teacher_disagreement_score":0.010223684,"about_ca_system_score_codex":0.00082693656,"about_ca_system_score_gemma":0.0010439946,"threshold_uncertainty_score":0.028148115},"labels":[],"label_agreement":null},{"id":"W2915941101","doi":"10.1155/2019/9691507","title":"Optimization of Energy Recovery Efficiency for Parallel Hydraulic Hybrid Power Systems Based on Dynamic Programming","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Dynamic programming; Torque; Test bench; Power (physics); Computer science; Transmission (telecommunications); Displacement (psychology); Hydraulic machinery; Energy (signal processing); Automotive engineering; Simulation; Control theory (sociology); Engineering; Algorithm; Mechanical engineering; Mathematics; Embedded system","score_opus":0.00481023345849045,"score_gpt":0.18444270054145226,"score_spread":0.17963246708296182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915941101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014561498,0.00016203437,0.9811158,0.00008494712,0.000013041592,0.000043102795,0.000025602427,0.00011283647,0.0038810761],"genre_scores_gemma":[0.85926104,0.0003426928,0.13443147,0.00006231832,0.000023017556,0.00030922965,0.00009227706,0.000102199665,0.005375692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997435,0.00007829725,0.000010920481,0.000058949034,0.00006368357,0.000044586952],"domain_scores_gemma":[0.9996555,0.0002268351,0.000038749182,0.000013120804,0.000054076605,0.00001175889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007121134,0.0008568889,0.0010542099,0.00046443168,0.0004060591,0.00090301776,0.0006630054,0.0006852213,0.002166868],"category_scores_gemma":[0.0009010976,0.0004851239,0.0005411173,0.00051479955,0.0005254028,0.0007307043,0.000715676,0.0007828671,0.00022005134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019370236,0.000014247184,0.00010545501,0.000037741538,0.000010877673,0.000014428714,0.000012646777,0.98662865,0.00069913414,0.0026762672,0.00015972371,0.009621423],"study_design_scores_gemma":[0.0000030369695,0.000012014896,0.00002985824,0.000002156263,0.000002559742,0.0000035387457,0.0000040151667,0.99877876,0.00024446598,0.00072593737,0.00019198075,0.000001680751],"about_ca_topic_score_codex":0.0032719078,"about_ca_topic_score_gemma":0.0028555305,"teacher_disagreement_score":0.0032719078,"about_ca_system_score_codex":0.00081281766,"about_ca_system_score_gemma":0.00089527306,"threshold_uncertainty_score":0.0072488785},"labels":[],"label_agreement":null},{"id":"W2917104481","doi":"10.1155/2019/6363409","title":"On the Application of Modified Finite Sine Transform to Structural Mechanics","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cantilever; Sine; Boundary value problem; Mathematical analysis; Vibration; Computation; Mathematics; Natural frequency; Inverse; Structural mechanics; Finite element method; Structural engineering; Geometry; Algorithm; Physics; Engineering; Acoustics","score_opus":0.005021412837534349,"score_gpt":0.18865336904598287,"score_spread":0.18363195620844852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917104481","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067025647,0.00089408824,0.98529273,0.00018035526,0.0001508177,0.000019378334,0.00001546479,0.00010001445,0.0066445186],"genre_scores_gemma":[0.42328596,0.0033201359,0.5600415,0.00027670214,0.0003615535,0.00015287357,0.000091122245,0.00020161565,0.0122685665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99974877,0.00009248773,0.000011173116,0.000025650408,0.00010785392,0.000014063671],"domain_scores_gemma":[0.9995846,0.00023262853,0.00002501486,0.00004534084,0.000097280696,0.000015210658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062193914,0.00039343286,0.00045174212,0.0007621889,0.00026244068,0.0005720993,0.00060145976,0.0007165331,0.0021483297],"category_scores_gemma":[0.0016431833,0.00022887344,0.0006056923,0.00066393777,0.0011011363,0.0008431074,0.0007216694,0.00093746604,0.00047586384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007553657,0.00004561161,0.0006200668,0.0003695811,0.000043019085,0.00026078525,0.00024753247,0.2195625,0.033002302,0.54429173,0.0022343192,0.19924709],"study_design_scores_gemma":[0.00001001097,0.000044555643,0.00021410178,0.000029522622,0.0000059780004,0.0001568082,0.000019059784,0.9155759,0.004314842,0.06943702,0.010175301,0.000016818756],"about_ca_topic_score_codex":0.00090710924,"about_ca_topic_score_gemma":0.0005657796,"teacher_disagreement_score":0.0021483297,"about_ca_system_score_codex":0.00032071993,"about_ca_system_score_gemma":0.0004885151,"threshold_uncertainty_score":0.0071868896},"labels":[],"label_agreement":null},{"id":"W2929382159","doi":"10.1155/2019/3412129","title":"Mechanics of Lipid Membranes under the Influence of Intramembrane Viscosity","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Membrane; Viscous stress tensor; Viscosity; Mechanics; Work (physics); Boundary value problem; Deformation (meteorology); Classical mechanics; Boundary (topology); Continuum mechanics; Viscous liquid; Physics; Thermodynamics; Mathematics; Chemistry; Mathematical analysis; Cauchy stress tensor","score_opus":0.0057351305073827475,"score_gpt":0.21270747812837115,"score_spread":0.2069723476209884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929382159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63437486,0.0031481404,0.3102503,0.0031155534,0.00031505967,0.00006534479,0.00017292972,0.00018766976,0.048370168],"genre_scores_gemma":[0.9813519,0.0013907301,0.008135697,0.0001515758,0.00010289206,0.000057625362,0.000055688604,0.00003731105,0.008716531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99983764,0.0000377246,0.000004632045,0.000023898396,0.00006106168,0.00003505946],"domain_scores_gemma":[0.9998647,0.000037034522,0.000028544711,0.00001838109,0.000020560141,0.000030886426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023479284,0.00046682314,0.0003715921,0.00041233128,0.00065514504,0.0011014222,0.0007142033,0.0012048503,0.00089515967],"category_scores_gemma":[0.0005377977,0.00022453557,0.0005519084,0.00022067767,0.001409706,0.0012272088,0.0013323696,0.00081005343,0.0003023954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005762574,0.00006664391,0.0005797464,0.000071930444,0.000021189362,0.0011210733,0.00034422457,0.3787298,0.10161916,0.51170915,0.00055796513,0.005121443],"study_design_scores_gemma":[0.000028819566,0.00007298381,0.00084840355,0.000018883702,0.000010528111,0.00030975975,0.00011919307,0.8383939,0.0060141347,0.15128341,0.0028602683,0.000039788487],"about_ca_topic_score_codex":0.0016934372,"about_ca_topic_score_gemma":0.0005525081,"teacher_disagreement_score":0.0016934372,"about_ca_system_score_codex":0.00067693874,"about_ca_system_score_gemma":0.0005858523,"threshold_uncertainty_score":0.0049116015},"labels":[],"label_agreement":null},{"id":"W2937061596","doi":"10.1155/2019/1360454","title":"Coordinative Urban‐Rural Solid Waste Management: A Fractional Dual‐Objective Programming Model for the Regional Munifcipality of Xiamen","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Municipal solid waste; Solid waste management; Waste management; China; Rural area; Environmental engineering; Environmental science; Engineering; Geography","score_opus":0.017403900573445097,"score_gpt":0.24681212952081297,"score_spread":0.22940822894736787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937061596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23731336,0.00070908736,0.7153469,0.0013293335,0.00011879039,0.00022734494,0.0009351156,0.00028751898,0.043732587],"genre_scores_gemma":[0.9611116,0.0003651227,0.025156038,0.00006282322,0.000019864605,0.00024963473,0.0001843834,0.000030471885,0.012820038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975413,0.00007766557,0.000008693051,0.000056319725,0.000034407043,0.000068702975],"domain_scores_gemma":[0.99985933,0.00005326066,0.000026378211,0.000006049938,0.000036469624,0.000018531164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005622279,0.0008600754,0.00070174027,0.00057656225,0.0008472493,0.0017953003,0.0013197152,0.0014828651,0.004479934],"category_scores_gemma":[0.0005438757,0.00063319237,0.0009572305,0.000865146,0.00077686127,0.0009444998,0.0010463095,0.0008687281,0.00021032944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012794484,0.000010824087,0.0001882224,0.000017978926,0.000006859401,0.00004328372,0.000025005917,0.99377704,0.00021095235,0.0042816633,0.00016086422,0.0012645485],"study_design_scores_gemma":[0.000005372332,0.000009167756,0.00007216729,0.000003312008,0.000005589789,0.0000039216193,0.000022912998,0.9986594,0.00006685576,0.0008604589,0.0002868177,0.0000039505835],"about_ca_topic_score_codex":0.043617684,"about_ca_topic_score_gemma":0.030106582,"teacher_disagreement_score":0.043617684,"about_ca_system_score_codex":0.0028876376,"about_ca_system_score_gemma":0.0030356813,"threshold_uncertainty_score":0.08672762},"labels":[],"label_agreement":null},{"id":"W2946276032","doi":"10.1155/2019/6031842","title":"The 3D Nonstationary Creep Constitutive Model of Sandstone Based on Fractional Order","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"National Natural Science Foundation of China","keywords":"Creep; Geotechnical engineering; Constitutive equation; Nonlinear system; Geology; Mechanics; Materials science; Structural engineering; Engineering; Finite element method; Composite material; Physics","score_opus":0.010844926048877108,"score_gpt":0.20570805371457992,"score_spread":0.19486312766570282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946276032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40960494,0.0011397598,0.5702383,0.00048210972,0.00011575533,0.00014140207,0.0006641836,0.0005116208,0.017101979],"genre_scores_gemma":[0.9767219,0.0005779938,0.01572281,0.000059963037,0.000020755482,0.00011676858,0.00021479979,0.0000435446,0.00652144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997991,0.00002113844,0.000018305855,0.00005998081,0.000071755254,0.000029669527],"domain_scores_gemma":[0.99984264,0.000030237594,0.00003895338,0.000021532851,0.000056495515,0.000010046631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021452742,0.00054344063,0.00056457863,0.0009613402,0.00040682688,0.0006862964,0.0012411949,0.0010523956,0.001069051],"category_scores_gemma":[0.00042257074,0.00042518665,0.0008130024,0.00066636974,0.000683502,0.0009423345,0.00041465473,0.00055303366,0.00023882867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030068544,0.0000781208,0.0037171966,0.00011209193,0.000032017233,0.00033434946,0.00020947642,0.9435525,0.029850522,0.009473171,0.0004977416,0.012112702],"study_design_scores_gemma":[0.0000022613508,0.000010837397,0.00080514466,0.0000037450004,0.0000067817205,0.000048400794,0.000010732088,0.99708587,0.0007808006,0.000756371,0.00048040328,0.000008598617],"about_ca_topic_score_codex":0.013817985,"about_ca_topic_score_gemma":0.013404688,"teacher_disagreement_score":0.013817985,"about_ca_system_score_codex":0.0006232217,"about_ca_system_score_gemma":0.0009385457,"threshold_uncertainty_score":0.027475119},"labels":[],"label_agreement":null},{"id":"W2950100150","doi":"10.1155/2019/6279164","title":"Numerical Simulation Analysis of Unsteady Temperature in Thermal Insulation Supporting Roadway","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"National Natural Science Foundation of China","keywords":"Airflow; Heat transfer; Dynamic insulation; Mechanics; Heat transfer coefficient; Thermal insulation; Inlet; Humidity; Thermal; Convective heat transfer; Convection; Meteorology; Materials science; Mechanical engineering; Engineering; Vacuum insulated panel; Composite material; Layer (electronics)","score_opus":0.007899998639582155,"score_gpt":0.2164362086984141,"score_spread":0.20853621005883194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950100150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79718226,0.0009267276,0.16597758,0.00095850526,0.00027175472,0.00011058345,0.0005145804,0.00061078457,0.033447225],"genre_scores_gemma":[0.9876474,0.00020456739,0.00824411,0.000040997373,0.000015304953,0.00008055423,0.00012586576,0.0000322085,0.0036090424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997495,0.00005416334,0.000014474949,0.000035485973,0.00007628181,0.00007021394],"domain_scores_gemma":[0.9994672,0.00026552085,0.00007438793,0.000030794192,0.000117125324,0.00004501768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003832845,0.000562315,0.0007627982,0.00056427333,0.00088443275,0.0008839782,0.00068578176,0.0015142102,0.0022520786],"category_scores_gemma":[0.0011196929,0.0003602782,0.00083988113,0.0006308096,0.00097050157,0.00067130977,0.00059759646,0.00069200003,0.000194348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043919816,0.00003356612,0.0016058884,0.00004612939,0.000011411,0.0001183124,0.00007563614,0.9918349,0.0019885714,0.0024120463,0.00022399735,0.0016056165],"study_design_scores_gemma":[0.000005416006,0.000009435166,0.00016805324,0.0000029756561,0.0000023048974,0.000005292583,0.000016490081,0.9991842,0.00029706204,0.00019120943,0.000113785034,0.0000037964387],"about_ca_topic_score_codex":0.017227981,"about_ca_topic_score_gemma":0.006095427,"teacher_disagreement_score":0.017227981,"about_ca_system_score_codex":0.00077915704,"about_ca_system_score_gemma":0.00086406176,"threshold_uncertainty_score":0.034255385},"labels":[],"label_agreement":null},{"id":"W2951486239","doi":"10.1155/2019/4854803","title":"Operation of Parallel Inverters in Microgrid Using New Adaptive PI Controllers Based on Least Mean Fourth Technique","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"American University of Sharjah; University of Sharjah","keywords":"Microgrid; Control theory (sociology); Controller (irrigation); PID controller; Adaptive control; Control engineering; Voltage; Computer science; Engineering; Control (management); Temperature control","score_opus":0.010106351139592126,"score_gpt":0.18633698784920383,"score_spread":0.1762306367096117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951486239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106513225,0.0003397188,0.8832506,0.00013213363,0.00010263996,0.00007773382,0.000038133934,0.0012346272,0.008311321],"genre_scores_gemma":[0.9396219,0.00017910323,0.058092743,0.000025482821,0.000024918403,0.000059349484,0.000032050586,0.000015208158,0.001949326],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999913,0.000014072824,0.0000074136015,0.000023924873,0.000034830642,0.0000067707856],"domain_scores_gemma":[0.9999256,0.00001480366,0.00001576285,0.000013817438,0.000025595415,0.0000044067683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015089482,0.00033597785,0.00023569494,0.00016344726,0.00023654388,0.0004186424,0.0005903178,0.00022001023,0.0008177138],"category_scores_gemma":[0.00024175383,0.00010484898,0.00019930527,0.00019304412,0.00022014808,0.00027809644,0.0002476004,0.00033741392,0.00016187207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003876914,0.00020778259,0.0026870817,0.0003896173,0.00015850333,0.0005601571,0.00037087844,0.3911146,0.1347147,0.018036522,0.00278734,0.4485852],"study_design_scores_gemma":[0.00003153741,0.00021001925,0.0005275633,0.000006727708,0.000024196766,0.00011387338,0.000018982824,0.9833686,0.01096737,0.0017593654,0.0029613932,0.000010401164],"about_ca_topic_score_codex":0.001118913,"about_ca_topic_score_gemma":0.0015616704,"teacher_disagreement_score":0.001118913,"about_ca_system_score_codex":0.00019598092,"about_ca_system_score_gemma":0.00023814061,"threshold_uncertainty_score":0.0027355552},"labels":[],"label_agreement":null},{"id":"W2963407027","doi":"10.1155/2015/187284","title":"In-Domain Control of a Heat Equation: An Approach Combining Zero-Dynamics Inverse and Differential Flatness","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada","keywords":"Flatness (cosmology); Mathematics; Control theory (sociology); Convergence (economics); Heat equation; Trajectory; Inverse; Function (biology); Applied mathematics; Mathematical optimization; Control (management); Mathematical analysis; Computer science; Geometry; Physics","score_opus":0.022817461886568018,"score_gpt":0.21453026838664382,"score_spread":0.1917128065000758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963407027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023546055,0.00010256363,0.9718731,0.000063121675,0.000044546872,0.00003682666,0.000008674948,0.000076105076,0.004249023],"genre_scores_gemma":[0.9077134,0.00023817028,0.08812838,0.000075398115,0.0000397308,0.000089670866,0.000023136678,0.000029669009,0.0036624463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998679,0.000038224138,0.0000063057346,0.00002810778,0.000044430006,0.000014940363],"domain_scores_gemma":[0.9998821,0.000041619314,0.000020662816,0.00001959122,0.000024173478,0.00001183845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031001764,0.00043270574,0.00044130028,0.00027139203,0.0002382258,0.0005670497,0.0006221238,0.0003279074,0.0012246269],"category_scores_gemma":[0.00041044655,0.00015604246,0.00033026887,0.0001480337,0.00070334243,0.00047075195,0.0009176028,0.00052438263,0.00011813889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013677697,0.00013731074,0.00068502856,0.00035895393,0.000060243,0.0002966629,0.0004942607,0.60581434,0.09724657,0.20806569,0.0007117364,0.08599242],"study_design_scores_gemma":[0.000009155929,0.00011039341,0.00011780974,0.0000101841015,0.0000074841196,0.000035247664,0.000020901363,0.98350704,0.0066334633,0.007712118,0.0018255259,0.000010729405],"about_ca_topic_score_codex":0.0009407942,"about_ca_topic_score_gemma":0.000606048,"teacher_disagreement_score":0.0012246269,"about_ca_system_score_codex":0.00027625824,"about_ca_system_score_gemma":0.00041516853,"threshold_uncertainty_score":0.004096806},"labels":[],"label_agreement":null},{"id":"W2963993350","doi":"10.1155/2018/7316954","title":"Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":346,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Residual; Computer science; Deep learning; Artificial intelligence; Domain (mathematical analysis); Connection (principal bundle); State (computer science); Wearable computer; Pattern recognition (psychology); Long short term memory; Machine learning; Recurrent neural network; Artificial neural network; Algorithm; Engineering; Embedded system; Mathematics","score_opus":0.06830659696497564,"score_gpt":0.28702418718026473,"score_spread":0.21871759021528908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963993350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067785524,0.0034268398,0.914501,0.00046167115,0.0004176053,0.000085010695,0.0017090137,0.0067283865,0.004884888],"genre_scores_gemma":[0.8121578,0.0017500455,0.17435767,0.00036515828,0.00014335537,0.00017104589,0.0032236036,0.00014110256,0.00769015],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997838,0.000042621767,0.000012323253,0.00008363891,0.0000419605,0.000035753794],"domain_scores_gemma":[0.999877,0.00003810488,0.000015991453,0.000024823144,0.00003275449,0.000011350327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033363895,0.00073037075,0.0005115453,0.00041433566,0.00015889145,0.00034194332,0.00085985125,0.0005339938,0.0029050522],"category_scores_gemma":[0.0008096533,0.00026178217,0.00055204966,0.0007630341,0.00018402761,0.0008026475,0.00061166845,0.0008530465,0.0011462567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042993162,0.0002884312,0.0025143507,0.0003322886,0.00018928414,0.00022312315,0.0001151214,0.088901475,0.042720295,0.0036209847,0.012669504,0.84799534],"study_design_scores_gemma":[0.000011798326,0.00009756482,0.0020882809,0.000027056598,0.000042563574,0.00008901747,0.000027315162,0.97923446,0.011688,0.0037001055,0.0029769046,0.000016987711],"about_ca_topic_score_codex":0.005006687,"about_ca_topic_score_gemma":0.010370535,"teacher_disagreement_score":0.005006687,"about_ca_system_score_codex":0.00041168559,"about_ca_system_score_gemma":0.00057044724,"threshold_uncertainty_score":0.009955108},"labels":[],"label_agreement":null},{"id":"W2964779613","doi":"10.1155/2019/3201656","title":"A New Ant Colony Optimization Algorithm to Solve the Periodic Capacitated Arc Routing Problem with Continuous Moves","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Center for Interuniversity Research and Analysis on Organizations","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Arc routing; Tabu search; Ant colony optimization algorithms; Mathematical optimization; Routing (electronic design automation); Arc (geometry); Computer science; Ant colony; Algorithm; Metaheuristic; Mathematics; Computer network","score_opus":0.007159781880296249,"score_gpt":0.20567763480277604,"score_spread":0.19851785292247978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964779613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072751227,0.0002934024,0.98660463,0.00014721141,0.0001142686,0.00007599208,0.000043831275,0.0003567172,0.005088766],"genre_scores_gemma":[0.15135548,0.00031044256,0.8409563,0.00014170125,0.00006912768,0.00036565788,0.00018544745,0.00014151151,0.0064743455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996817,0.00008064137,0.000016327602,0.00006505591,0.00012265127,0.000033648168],"domain_scores_gemma":[0.99964845,0.00017507117,0.0000367478,0.000027823553,0.0000833331,0.000028652968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000454687,0.00081171544,0.00093800423,0.0006161157,0.0004702335,0.0008508895,0.0015378497,0.0012529388,0.0029199342],"category_scores_gemma":[0.00120401,0.00045670517,0.0005768866,0.0008958687,0.00047622912,0.0008929562,0.00081046997,0.0010650448,0.0006046322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005032859,0.000061441286,0.00021786733,0.00009408252,0.000040985746,0.00008450151,0.000050308725,0.901522,0.0021234795,0.011017554,0.0030216458,0.08171574],"study_design_scores_gemma":[0.000014972242,0.000015935695,0.000021827385,0.000003163528,0.0000037179786,0.000016252634,0.000004594652,0.9971616,0.0001533077,0.0013488705,0.0012527603,0.0000029853582],"about_ca_topic_score_codex":0.0046034064,"about_ca_topic_score_gemma":0.0043765297,"teacher_disagreement_score":0.0046034064,"about_ca_system_score_codex":0.00040827208,"about_ca_system_score_gemma":0.0010395136,"threshold_uncertainty_score":0.009768188},"labels":[],"label_agreement":null},{"id":"W2965301948","doi":"10.1155/2019/3463607","title":"Transmissivity Identification by Combination of CVFEM and Genetic Algorithm: Application to the Coastal Aquifer","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Mathematical optimization; Discretization; Inverse problem; Optimization problem; Darcy–Weisbach equation; Computer science; Finite element method; Algorithm; Penalty method; Mathematics; Applied mathematics; Porous medium; Engineering","score_opus":0.0038104926921002937,"score_gpt":0.18463526929341506,"score_spread":0.18082477660131477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965301948","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14623499,0.00025890087,0.8478059,0.00022598969,0.000044811575,0.00005232857,0.00003083043,0.0005734755,0.0047727316],"genre_scores_gemma":[0.6783882,0.00018046718,0.31936488,0.000048542537,0.000015338523,0.00006726224,0.000045065408,0.000051393716,0.0018388701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998746,0.000047677935,0.0000054817315,0.000021627637,0.000034797562,0.00001585009],"domain_scores_gemma":[0.99980193,0.000094188814,0.000020614687,0.000014468932,0.000057631132,0.00001117904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005071505,0.000504285,0.00045437895,0.0005527346,0.0002975131,0.0004799485,0.00054455776,0.00094296533,0.00060610543],"category_scores_gemma":[0.0006409559,0.00018300954,0.00042433557,0.0005778846,0.00032725,0.00027495308,0.0005241188,0.0003380666,0.00009362699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046909903,0.000097976495,0.0023239856,0.000048488746,0.000041946587,0.00015862242,0.000082949125,0.86838233,0.009431015,0.0036146739,0.0003973573,0.11537367],"study_design_scores_gemma":[0.0000028047268,0.000016487424,0.00012535682,0.0000019546267,0.0000031186985,0.000015782196,0.000008122745,0.99844116,0.00095999765,0.00020379346,0.00021793236,0.0000034804273],"about_ca_topic_score_codex":0.0042663296,"about_ca_topic_score_gemma":0.0034351887,"teacher_disagreement_score":0.0042663296,"about_ca_system_score_codex":0.00032528045,"about_ca_system_score_gemma":0.0005103569,"threshold_uncertainty_score":0.008482993},"labels":[],"label_agreement":null},{"id":"W2987735280","doi":"10.1155/2019/9030565","title":"Rational Spectral Collocation Combined with the Singularity Separated Method for a System of Singularly Perturbed Boundary Value Problems","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"North Minzu University; Natural Science Foundation of Ningxia Province","keywords":"Mathematics; Collocation (remote sensing); Singularity; Mathematical analysis; Boundary value problem; Singular boundary method; Boundary (topology); Collocation method; Transformation (genetics); Spectral method; Applied mathematics; Ordinary differential equation; Differential equation; Computer science; Physics; Boundary element method","score_opus":0.023422656642318455,"score_gpt":0.29289273867646026,"score_spread":0.2694700820341418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987735280","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01003082,0.00009296972,0.9883364,0.000041505813,0.000037105823,0.000019641442,0.0000068779163,0.00009528696,0.0013394147],"genre_scores_gemma":[0.4380296,0.00029733457,0.55818,0.00005389723,0.000047445355,0.000109688095,0.00006173429,0.000113652684,0.0031066781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995974,0.00014030965,0.000022013546,0.000046900645,0.00015918103,0.000034148095],"domain_scores_gemma":[0.9996382,0.00012805809,0.00003458035,0.000057821955,0.00011223851,0.000029094343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049642834,0.0007036113,0.00082155375,0.00061062264,0.00046815735,0.00065874547,0.0009575498,0.0009654729,0.0013695889],"category_scores_gemma":[0.00092889887,0.00034947842,0.0005696665,0.00046232739,0.00094142905,0.0007537618,0.0009911126,0.0008343712,0.0005636085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023872356,0.000118500684,0.0014589246,0.00046443677,0.00008775739,0.0005636614,0.0005874311,0.59513205,0.108432055,0.14412437,0.0024621938,0.14632984],"study_design_scores_gemma":[0.000008423897,0.000022459399,0.00004321523,0.0000064036326,0.00000468725,0.000038075563,0.000015729149,0.99282646,0.0029846493,0.0029802816,0.0010598835,0.0000096867525],"about_ca_topic_score_codex":0.0024499623,"about_ca_topic_score_gemma":0.0018201414,"teacher_disagreement_score":0.0024499623,"about_ca_system_score_codex":0.00045044525,"about_ca_system_score_gemma":0.0007716116,"threshold_uncertainty_score":0.004871428},"labels":[],"label_agreement":null},{"id":"W2991097038","doi":"10.1155/2019/4302805","title":"Three‐Dimensional Asphalt Pavement Crack Detection Based on Fruit Fly Optimisation Density Peak Clustering","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Cluster analysis; Asphalt pavement; Asphalt; Computer science; Noise (video); Structural engineering; Engineering; Artificial intelligence; Image (mathematics); Materials science; Composite material","score_opus":0.008080560747394785,"score_gpt":0.19521045230936776,"score_spread":0.18712989156197296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991097038","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12372835,0.00015016361,0.8736002,0.000054067772,0.000016124353,0.000058780304,0.000120988596,0.0009905762,0.0012807217],"genre_scores_gemma":[0.68818736,0.0001646867,0.30965728,0.000025224206,0.00001278914,0.00005591327,0.00031096186,0.000069417234,0.0015163203],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999726,0.000019411718,0.000011291268,0.00006813702,0.00014006942,0.000035092406],"domain_scores_gemma":[0.99962866,0.00009563734,0.000054071752,0.000049209135,0.0001477882,0.000024607467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001478262,0.00045726253,0.0004891871,0.0014548551,0.00026757232,0.0005526472,0.00077442295,0.0005789834,0.0008660544],"category_scores_gemma":[0.0006811351,0.00025889202,0.00055035425,0.0007905859,0.00031784375,0.00060311414,0.00044444497,0.00030610384,0.00025294453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002290947,0.0001213761,0.013795205,0.00017878773,0.00010568212,0.00030478757,0.00029278392,0.32616895,0.1531103,0.0029686242,0.0022083663,0.5005161],"study_design_scores_gemma":[0.000004537723,0.000017310536,0.0042057526,0.0000046692444,0.0000076797605,0.00009499464,0.000025658033,0.98107374,0.013637741,0.00038177313,0.0005275558,0.000018662504],"about_ca_topic_score_codex":0.00914335,"about_ca_topic_score_gemma":0.009700635,"teacher_disagreement_score":0.00914335,"about_ca_system_score_codex":0.0004055069,"about_ca_system_score_gemma":0.00047773772,"threshold_uncertainty_score":0.018180251},"labels":[],"label_agreement":null},{"id":"W2998673165","doi":"10.1155/2019/4352396","title":"A Spatiotemporal Deformation Modelling Method Based on Geographically and Temporally Weighted Regression","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fundamental Research Funds for the Central Universities; Central South University; National Natural Science Foundation of China","keywords":"Deformation (meteorology); Flexibility (engineering); Transformation (genetics); Computer science; Inverse; Deformation monitoring; Lag; Regression; Algorithm; Mathematics; Data mining; Mathematical optimization; Statistics; Geology; Geometry","score_opus":0.007705022845872378,"score_gpt":0.20290211261536747,"score_spread":0.1951970897694951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998673165","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049365526,0.00008790467,0.9937688,0.0000584407,0.0000272483,0.000018531593,0.00008764793,0.00032458093,0.0006902096],"genre_scores_gemma":[0.5044144,0.0012558572,0.48270595,0.000119366334,0.00014286564,0.00028525552,0.0011017479,0.0005288589,0.0094456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922967,0.0001446543,0.00006951658,0.00028354258,0.00021957183,0.000053027394],"domain_scores_gemma":[0.9996081,0.000093177965,0.00008185269,0.000046027213,0.00015082664,0.00001995604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008788451,0.00091255637,0.00081239257,0.0012622945,0.0004345729,0.0008692652,0.0015210478,0.0007870492,0.0020461562],"category_scores_gemma":[0.001845915,0.00049151987,0.001741035,0.0018401395,0.0003128099,0.0019282794,0.00089908834,0.0008662072,0.00074672134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004108401,0.000033964123,0.0025155537,0.00011282302,0.00010412893,0.00013808002,0.0001069867,0.82352513,0.009149222,0.014119278,0.0015227442,0.148631],"study_design_scores_gemma":[0.0000020752937,0.0000090836,0.00027336102,0.000003559035,0.000012708109,0.000029887095,0.000008733614,0.99700755,0.000679863,0.0010171802,0.00094486354,0.000011225749],"about_ca_topic_score_codex":0.01931691,"about_ca_topic_score_gemma":0.009788548,"teacher_disagreement_score":0.01931691,"about_ca_system_score_codex":0.0005548455,"about_ca_system_score_gemma":0.0012418134,"threshold_uncertainty_score":0.038408935},"labels":[],"label_agreement":null},{"id":"W3003654984","doi":"10.1155/2020/5207430","title":"Asynchronous Injection-Production Process: A Method to Improve Water Flooding Recovery in Complex Fault Block Reservoirs","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Fault block; Water injection (oil production); Petroleum engineering; Enhanced oil recovery; Flooding (psychology); Block (permutation group theory); Stage (stratigraphy); Water flooding; Fault (geology); Process (computing); Water cut; Environmental science; Geology; Computer science; Mathematics; Seismology","score_opus":0.017870670599035753,"score_gpt":0.25615319114796126,"score_spread":0.2382825205489255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003654984","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08341857,0.0004371223,0.9120067,0.00011906349,0.00005491735,0.000078862875,0.000027596276,0.00069556065,0.0031616755],"genre_scores_gemma":[0.85760945,0.00036357835,0.13973197,0.00004101154,0.000029343608,0.00006344842,0.000040067698,0.000050694343,0.00207042],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998379,0.00002072015,0.000011344646,0.000036412504,0.00007331989,0.000020327177],"domain_scores_gemma":[0.9998784,0.00003525203,0.000026927068,0.000020881138,0.000027684944,0.000010851396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021805112,0.00031477568,0.0002975749,0.000443278,0.00033337477,0.00032166246,0.0005676026,0.00030094926,0.0012489585],"category_scores_gemma":[0.00040872206,0.00017623373,0.00028509606,0.00033797507,0.00033096675,0.0010022732,0.00054335885,0.00033324095,0.0001719684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033269398,0.00027656576,0.003395476,0.00044009837,0.00003797791,0.0005355322,0.00038804905,0.16772836,0.46198386,0.020373983,0.0018733438,0.34263402],"study_design_scores_gemma":[0.00006033019,0.00029900734,0.0009887731,0.00001272244,0.000038350903,0.00021641716,0.000040728002,0.8786451,0.11103147,0.0034677288,0.005172326,0.000026946871],"about_ca_topic_score_codex":0.0010170911,"about_ca_topic_score_gemma":0.0007940952,"teacher_disagreement_score":0.0012489585,"about_ca_system_score_codex":0.00021821418,"about_ca_system_score_gemma":0.00040298587,"threshold_uncertainty_score":0.0041781664},"labels":[],"label_agreement":null},{"id":"W3014491141","doi":"10.1155/2020/3298460","title":"A Grasshopper Optimization-Based Approach for Task Assignment in Cloud Logistics","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministry of Education of the People's Republic of China","keywords":"Task (project management); Computer science; Matching (statistics); Cloud computing; Genetic algorithm; Service (business); Mathematical optimization; Stability (learning theory); Mode (computer interface); Commodity; Operations research; Engineering; Mathematics; Systems engineering; Machine learning","score_opus":0.02531682570964594,"score_gpt":0.21340928520985536,"score_spread":0.18809245950020942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014491141","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008426009,0.00021001116,0.98781407,0.00011714235,0.000031190913,0.00005487766,0.000031742155,0.00012177545,0.0031932243],"genre_scores_gemma":[0.61058724,0.0004926129,0.38209698,0.00017878882,0.00006739898,0.00030305356,0.00013721581,0.000116872325,0.0060198195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968743,0.000083888626,0.000010807294,0.00007026136,0.000083923194,0.00006367484],"domain_scores_gemma":[0.99983287,0.00006352057,0.00002826388,0.000013182338,0.0000382061,0.000023880375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046772845,0.0007896797,0.0007705894,0.00060550787,0.0005611647,0.000877195,0.0014045761,0.0007641187,0.002990745],"category_scores_gemma":[0.00072220294,0.00031426744,0.0006761318,0.0007759243,0.00060650735,0.0007902873,0.0010720305,0.00076672994,0.00032191988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020613375,0.000025788404,0.0002137674,0.00005237202,0.00002035031,0.000045068,0.000029010807,0.9709944,0.00102476,0.009669547,0.0007360694,0.017168295],"study_design_scores_gemma":[0.0000034634465,0.000014444245,0.00003323509,0.000002742316,0.0000022556749,0.000007257054,0.000008539556,0.9974414,0.00012408858,0.0019951689,0.00036517569,0.000002234587],"about_ca_topic_score_codex":0.010690005,"about_ca_topic_score_gemma":0.007717171,"teacher_disagreement_score":0.010690005,"about_ca_system_score_codex":0.0010781547,"about_ca_system_score_gemma":0.0019586475,"threshold_uncertainty_score":0.021255553},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3017657699","doi":"10.1155/2020/2609674","title":"Optimal Capacity Allocation of Energy Storage System considering Uncertainty of Load and Wind Generation","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Key Research and Development Program of China; State Grid Corporation of China; National Natural Science Foundation of China","keywords":"Particle swarm optimization; Mathematical optimization; Simulated annealing; Computer science; Wind power; Energy storage; Electric power system; Power (physics); Engineering; Mathematics","score_opus":0.014388984569836642,"score_gpt":0.1729931602437754,"score_spread":0.15860417567393875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017657699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1502065,0.0010858756,0.8366055,0.00057823065,0.000072691626,0.00010452562,0.00018492046,0.00024023921,0.010921568],"genre_scores_gemma":[0.9895914,0.00022925454,0.008989844,0.000022749377,0.000015325619,0.000049656333,0.000035471505,0.000012984747,0.0010533173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996865,0.0001042755,0.00001652834,0.000068374524,0.0000636361,0.00006074302],"domain_scores_gemma":[0.9996463,0.0001833411,0.000068311034,0.00001540142,0.00006480512,0.000021810376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005346223,0.00073606544,0.0007946528,0.000397247,0.000416251,0.0010404964,0.00064679235,0.0007662216,0.0010573047],"category_scores_gemma":[0.0013483481,0.00047647028,0.00041501204,0.0005048012,0.00053474255,0.0010548156,0.00061421224,0.0005666367,0.00010502649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019323094,0.0000059849935,0.00012102946,0.000017475852,0.000008573826,0.000023390558,0.000009796858,0.9951532,0.0003869206,0.0013871478,0.00012476183,0.0027424172],"study_design_scores_gemma":[0.000002930039,0.00000699671,0.000054234868,0.0000018549835,0.0000034775703,0.0000031426127,0.0000042764973,0.99886864,0.00013344608,0.00086355093,0.00005530382,0.0000021862675],"about_ca_topic_score_codex":0.008439097,"about_ca_topic_score_gemma":0.006413701,"teacher_disagreement_score":0.008439097,"about_ca_system_score_codex":0.00100652,"about_ca_system_score_gemma":0.0011958339,"threshold_uncertainty_score":0.01677996},"labels":[],"label_agreement":null},{"id":"W3024755220","doi":"10.1155/2020/3507197","title":"An Air Quality Prediction Model Based on a Noise Reduction Self-Coding Deep Network","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; University of Alberta","keywords":"Autoencoder; Computer science; Noise reduction; Air quality index; Noise (video); Artificial intelligence; Time series; Reduction (mathematics); Data mining; Deep learning; Machine learning; Meteorology; Mathematics","score_opus":0.027279666181234286,"score_gpt":0.24511441057640168,"score_spread":0.2178347443951674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024755220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13146849,0.00074498134,0.85709804,0.0006609888,0.0002919795,0.00008486657,0.0005132822,0.0014095367,0.0077277496],"genre_scores_gemma":[0.94654423,0.00040107398,0.044750407,0.0001842121,0.000048245347,0.00015175405,0.00052794995,0.000030930983,0.007361099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998288,0.00001630271,0.0000114446475,0.00007357355,0.000041947624,0.00002793251],"domain_scores_gemma":[0.99983966,0.00003375976,0.000015935078,0.000008872861,0.00009205736,0.000009727346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033768572,0.0006420669,0.00052424445,0.0003489484,0.00030239052,0.0005400497,0.001088376,0.0008338292,0.0009935929],"category_scores_gemma":[0.00052893796,0.00043316546,0.00060253934,0.00037849697,0.0003101696,0.00082453515,0.00057214726,0.0009420198,0.00023336514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007046535,0.00008551406,0.0025286023,0.000060143597,0.00006675458,0.00010670385,0.000045383746,0.9332082,0.005836735,0.0024043103,0.0012330399,0.05435418],"study_design_scores_gemma":[0.0000022068216,0.000007421222,0.00015344073,0.0000014826979,0.000005517656,0.00000472509,0.0000012698805,0.9991049,0.0003774595,0.00023075759,0.000107992615,0.0000027482624],"about_ca_topic_score_codex":0.026738545,"about_ca_topic_score_gemma":0.018667253,"teacher_disagreement_score":0.026738545,"about_ca_system_score_codex":0.0007964297,"about_ca_system_score_gemma":0.001095572,"threshold_uncertainty_score":0.053165853},"labels":[],"label_agreement":null},{"id":"W3037839743","doi":"10.1155/2020/5804509","title":"KPCA and AE Based Local-Global Feature Extraction Method for Vibration Signals of Rotating Machinery","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Pattern recognition (psychology); Feature extraction; Artificial intelligence; Autoencoder; Discriminative model; Kernel principal component analysis; Classifier (UML); Computer science; Vibration; Feature (linguistics); Support vector machine; Engineering; Deep learning; Kernel method; Acoustics","score_opus":0.013395066706124526,"score_gpt":0.2896009061937411,"score_spread":0.2762058394876166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037839743","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009089154,0.0004079261,0.9892307,0.00008993553,0.000040105482,0.000025868254,0.000060999435,0.00048040808,0.0005749422],"genre_scores_gemma":[0.49574968,0.0013611452,0.49446842,0.00014115467,0.000107590145,0.0001656219,0.0006764055,0.00013822583,0.007191759],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995289,0.00005756563,0.000048559425,0.00014664137,0.00017692863,0.000041363128],"domain_scores_gemma":[0.9995646,0.00012497284,0.000067595414,0.00005916758,0.00016527185,0.000018438996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004616096,0.00096445164,0.00091505167,0.0010030326,0.0002972752,0.0005449241,0.0005807824,0.0007084808,0.0015953933],"category_scores_gemma":[0.0013298589,0.000347196,0.0010846618,0.0009542029,0.0003679947,0.0010682803,0.0005113668,0.0010444063,0.00069350336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019097017,0.00010693287,0.0015654335,0.00026297395,0.00014131315,0.0002312589,0.000091677,0.15975593,0.06009334,0.004121311,0.0029495156,0.7704894],"study_design_scores_gemma":[0.000009102208,0.00007214307,0.002102943,0.000012123143,0.000029876346,0.00022317392,0.000021632377,0.97846323,0.015400132,0.00141397,0.0022230058,0.000028703867],"about_ca_topic_score_codex":0.002446918,"about_ca_topic_score_gemma":0.0024150042,"teacher_disagreement_score":0.002446918,"about_ca_system_score_codex":0.00031297965,"about_ca_system_score_gemma":0.0005913839,"threshold_uncertainty_score":0.0053371787},"labels":[],"label_agreement":null},{"id":"W3040922865","doi":"10.1155/2020/5917606","title":"Combined Integrating Control Based on Dynamic Optimization Estimation","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council","keywords":"Control theory (sociology); PID controller; Controller (irrigation); Computer science; SIGNAL (programming language); Control (management); Process (computing); Control signal; Control engineering; Engineering; Artificial intelligence; Temperature control","score_opus":0.005161067888575174,"score_gpt":0.1904565683358353,"score_spread":0.18529550044726012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040922865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013262876,0.00050334225,0.9831407,0.0000468817,0.00006234958,0.000040913612,0.0000104222345,0.00035592442,0.0025764732],"genre_scores_gemma":[0.85368425,0.0005614544,0.14118485,0.000088885325,0.0001388734,0.00017347094,0.000080212405,0.00005933361,0.004028651],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986461,0.00013641879,0.00007738339,0.00040573382,0.0006450138,0.00008939365],"domain_scores_gemma":[0.999424,0.0001642459,0.00009229734,0.000060122526,0.00023001955,0.000029254721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008481022,0.0009661264,0.0012441719,0.0006540318,0.00047133857,0.0012767615,0.0014628251,0.00070725265,0.00109788],"category_scores_gemma":[0.0014218335,0.00048204104,0.00070476724,0.00069929654,0.0006174527,0.0011953987,0.0013305715,0.0008875579,0.00028230634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032653825,0.00020967341,0.0015663145,0.00037907757,0.00026545904,0.00021273474,0.00021868451,0.4602777,0.043360118,0.016516889,0.0016331547,0.47503367],"study_design_scores_gemma":[0.000023803846,0.00013761384,0.00041940302,0.000009423627,0.000048722384,0.00005122577,0.000006747813,0.9929449,0.0038713864,0.0010774316,0.0013909591,0.0000183725],"about_ca_topic_score_codex":0.0032210327,"about_ca_topic_score_gemma":0.0028539696,"teacher_disagreement_score":0.0032210327,"about_ca_system_score_codex":0.00046231152,"about_ca_system_score_gemma":0.00070718286,"threshold_uncertainty_score":0.0064045787},"labels":[],"label_agreement":null},{"id":"W3047826862","doi":"10.1155/2020/1070831","title":"A Modified Spatiotemporal Mixed-Effects Model for Interpolating Missing Values in Spatiotemporal Observation Data Series","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Central South University; National Natural Science Foundation of China","keywords":"Interpolation (computer graphics); Missing data; Series (stratigraphy); Kalman filter; Multivariate interpolation; Spatial correlation; Data series; Computer science; Mathematics; Bilinear interpolation; Algorithm; Data mining; Statistics; Artificial intelligence; Econometrics; Geology; Image (mathematics)","score_opus":0.15356563241722176,"score_gpt":0.25589089685708527,"score_spread":0.1023252644398635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047826862","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015150122,0.00029490652,0.9823177,0.00039597947,0.00011544345,0.000058091366,0.00076269085,0.00027648266,0.00062862865],"genre_scores_gemma":[0.6202847,0.0014907124,0.36051634,0.00045141188,0.00024296774,0.0008850446,0.0043756017,0.00016121918,0.011592089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973078,0.0010408886,0.0002309884,0.00085169094,0.0003729057,0.00019569212],"domain_scores_gemma":[0.99561995,0.0026396147,0.00048403462,0.0004043601,0.0007487079,0.000103380866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070301523,0.001142424,0.001424412,0.0017172302,0.0006690498,0.0017379606,0.0047681523,0.0021803912,0.0031835216],"category_scores_gemma":[0.012090381,0.0010224857,0.0033289795,0.0027564096,0.00094485667,0.003285415,0.0016792654,0.002461639,0.00061616884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031414692,0.000098539924,0.011011221,0.00024107666,0.0004390553,0.0003158406,0.00027160457,0.86460567,0.0015436243,0.06793516,0.0018125346,0.051411573],"study_design_scores_gemma":[0.000020739879,0.00005519927,0.0010551617,0.000020639587,0.000074974065,0.00004979079,0.000021845368,0.98649454,0.00038658318,0.01019338,0.0015995718,0.000027607653],"about_ca_topic_score_codex":0.018152852,"about_ca_topic_score_gemma":0.01465446,"teacher_disagreement_score":0.018152852,"about_ca_system_score_codex":0.0011346196,"about_ca_system_score_gemma":0.0016892417,"threshold_uncertainty_score":0.03717947},"labels":[],"label_agreement":null},{"id":"W3092409037","doi":"10.1155/2020/1372474","title":"Antiplane Fracture Problem of Three Nanocracks Emanating from an Electrically Permeable Hexagonal Nanohole in One-Dimensional Hexagonal Piezoelectric Quasicrystals","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Quasicrystal Structures and Properties","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Inner Mongolia; Ministry of Natural Resources","keywords":"Phason; Electric field; Electric displacement field; Condensed matter physics; Quasicrystal; Materials science; Piezoelectricity; Field (mathematics); Surface phonon; Intensity (physics); Displacement (psychology); Stress intensity factor; Coupling (piping); Boundary value problem; Surface (topology); Phonon; Conformal map; Physics; Optics; Geometry; Composite material; Fracture mechanics; Mathematics","score_opus":0.019230630134232977,"score_gpt":0.21445459795281774,"score_spread":0.19522396781858475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092409037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372521,0.00028805892,0.055632696,0.00040428125,0.000040293253,0.000022519243,0.00006325552,0.00004443622,0.006252239],"genre_scores_gemma":[0.9912288,0.00008227101,0.006906175,0.000023473256,0.0000074207774,0.00001943922,0.00003365282,0.000015381136,0.0016832792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998485,0.000017272558,0.000007289638,0.00003236357,0.000047720318,0.000046850324],"domain_scores_gemma":[0.99971527,0.000112301015,0.00006803786,0.000024682131,0.000041224605,0.00003840588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019758212,0.0003236589,0.0003797893,0.00028224548,0.00074872404,0.00071856333,0.00058374065,0.001328646,0.0012699957],"category_scores_gemma":[0.0006416099,0.000302417,0.0003894527,0.00017174127,0.0012302182,0.0008900011,0.0007346608,0.0006652831,0.00008837882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034278477,0.00015268048,0.004623426,0.00046565116,0.00009833933,0.0032789798,0.00080166716,0.5879188,0.18454808,0.19929582,0.0014185207,0.017055279],"study_design_scores_gemma":[0.000055962566,0.000085133004,0.002071359,0.000014587352,0.000013630651,0.0005401631,0.0002997591,0.96360594,0.012121756,0.020458637,0.0006896093,0.00004346925],"about_ca_topic_score_codex":0.004448253,"about_ca_topic_score_gemma":0.0023477438,"teacher_disagreement_score":0.004448253,"about_ca_system_score_codex":0.0006482722,"about_ca_system_score_gemma":0.0006336177,"threshold_uncertainty_score":0.008844733},"labels":[],"label_agreement":null},{"id":"W3093310284","doi":"10.1155/2020/7274181","title":"Evaluation on Nonholonomic Constraints and Rauch–Tung–Striebel Filter-Enhanced UWB/INS Integration","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Non-line-of-sight propagation; GNSS applications; Inertial navigation system; Nonholonomic system; Computer science; Kalman filter; Satellite system; Ultra-wideband; Real-time computing; Position (finance); Dynamic positioning; Engineering; Global Positioning System; Inertial frame of reference; Artificial intelligence; Wireless; Telecommunications; Mobile robot","score_opus":0.025888029660495,"score_gpt":0.22239982225930383,"score_spread":0.19651179259880883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093310284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14459546,0.000738038,0.8501335,0.00012322859,0.00009311083,0.00006829593,0.00006933016,0.0006897138,0.0034893446],"genre_scores_gemma":[0.8732686,0.00036186512,0.12392913,0.00007601319,0.0000368528,0.000079075966,0.00027665315,0.000085141204,0.0018866349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896944,0.0001778011,0.00006610394,0.00015873853,0.0005038781,0.00012414304],"domain_scores_gemma":[0.9983582,0.00073691737,0.00015591343,0.00010966323,0.000572418,0.00006687552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015457305,0.0010151061,0.0008709664,0.0006030389,0.00036148253,0.00091009855,0.0006296449,0.0009916688,0.001808529],"category_scores_gemma":[0.004476832,0.00028013886,0.0006951824,0.00055049825,0.00035608286,0.0011018456,0.00067886815,0.00061394216,0.0003625318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010505522,0.00023340421,0.00842841,0.0006509605,0.00021848177,0.00042756138,0.00025658563,0.6715189,0.04501786,0.004861804,0.0012037534,0.26613173],"study_design_scores_gemma":[0.000019156936,0.00028231431,0.0024017608,0.00001089548,0.000037063415,0.00008372234,0.00004490391,0.9883145,0.007820481,0.00030607777,0.0006577941,0.00002124303],"about_ca_topic_score_codex":0.006196871,"about_ca_topic_score_gemma":0.0038582012,"teacher_disagreement_score":0.006196871,"about_ca_system_score_codex":0.0004481334,"about_ca_system_score_gemma":0.001091004,"threshold_uncertainty_score":0.012321591},"labels":[],"label_agreement":null},{"id":"W3096347575","doi":"10.1155/2020/1386418","title":"HVAC Optimal Control with the Multistep-Actor Critic Algorithm in Large Action Spaces","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Jiangsu Provincial Key Research and Development Program; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"HVAC; Computer science; State space; Mathematical optimization; Action (physics); Convergence (economics); State (computer science); TRNSYS; Computation; Algorithm; Optimal control; Control (management); Space (punctuation); Energy (signal processing); Engineering; Mathematics; Artificial intelligence; Air conditioning","score_opus":0.010462465343844587,"score_gpt":0.20010470931946295,"score_spread":0.18964224397561835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096347575","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075351917,0.00021568981,0.9892184,0.0001790423,0.00005821623,0.000028434002,0.000014998392,0.00022500152,0.0025251105],"genre_scores_gemma":[0.8209957,0.00022445145,0.17230573,0.00023501927,0.00008943392,0.00022816418,0.000086494714,0.000083926825,0.005751063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962115,0.00014167186,0.000016960274,0.000072785515,0.000099795594,0.000047758313],"domain_scores_gemma":[0.9992884,0.00045381402,0.0000602597,0.00003566587,0.00012599569,0.000035804984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011664963,0.0009902422,0.0009983991,0.0003116784,0.00037815704,0.0008280626,0.0011620601,0.0011828059,0.0016049983],"category_scores_gemma":[0.0018674673,0.0004669302,0.0004944017,0.00035251724,0.0010009668,0.00072276883,0.00088667934,0.0015246375,0.00026508368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032579843,0.000014724698,0.00015755507,0.000028713632,0.000025509808,0.000028524164,0.00002065652,0.9837428,0.00052629615,0.0042654085,0.0003379365,0.010819255],"study_design_scores_gemma":[0.0000037506932,0.0000073682495,0.000012878304,0.0000011395089,0.0000013732064,0.000001863147,9.168435e-7,0.99931693,0.00006796724,0.000499358,0.00008508164,0.0000014034201],"about_ca_topic_score_codex":0.011497587,"about_ca_topic_score_gemma":0.0077626114,"teacher_disagreement_score":0.011497587,"about_ca_system_score_codex":0.0007674171,"about_ca_system_score_gemma":0.0014561823,"threshold_uncertainty_score":0.022861302},"labels":[],"label_agreement":null},{"id":"W3109265002","doi":"10.1155/2021/2882930","title":"Reconstruction Rating Model of Sovereign Debt by Logical Analysis of Data","year":2021,"lang":"en","type":"preprint","venue":"Mathematical Problems in Engineering","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Credit rating; Actuarial science; Solvency; Debt; Bond credit rating; Sovereignty; Set (abstract data type); Economics; Econometrics; Agency (philosophy); Statistics; Computer science; Business; Mathematics; Finance; Credit risk; Political science","score_opus":0.07891784011095235,"score_gpt":0.24764855980610545,"score_spread":0.1687307196951531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109265002","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16781765,0.0002967211,0.8243295,0.0011362598,0.000042505337,0.00021775447,0.0013414253,0.00051268266,0.0043053487],"genre_scores_gemma":[0.86054736,0.0003026862,0.13117605,0.0001270966,0.000059093294,0.00042305977,0.0018820968,0.000060325958,0.0054221316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99749583,0.0013608726,0.00014525717,0.00056456873,0.0002513838,0.00018198561],"domain_scores_gemma":[0.98766756,0.009249458,0.0012625009,0.00051948056,0.0010114481,0.00028950308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005460383,0.000703322,0.00094677793,0.0018264959,0.0004921943,0.0024990053,0.0019714884,0.001238926,0.004663803],"category_scores_gemma":[0.01916587,0.00066258374,0.0014198574,0.0013850809,0.0011781417,0.0024783292,0.0013152175,0.0016925305,0.00076960976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021983711,0.00006156421,0.0074667926,0.00007697281,0.0000607148,0.00015583879,0.00022447124,0.9267851,0.00039818368,0.0422292,0.0008080606,0.021513354],"study_design_scores_gemma":[0.000008005655,0.000016177175,0.00033363505,0.0000062996173,0.00000789621,0.0000136857025,0.000015991818,0.9900372,0.00007741716,0.009315467,0.00016374401,0.000004585868],"about_ca_topic_score_codex":0.009765669,"about_ca_topic_score_gemma":0.005339598,"teacher_disagreement_score":0.009765669,"about_ca_system_score_codex":0.002110522,"about_ca_system_score_gemma":0.0012168196,"threshold_uncertainty_score":0.028877616},"labels":[],"label_agreement":null},{"id":"W3111553838","doi":"10.1155/2020/8515213","title":"Pavement Crack Detection and Segmentation Method Based on Improved Deep Learning Fusion Model","year":2020,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; University of Waterloo; National Natural Science Foundation of China","keywords":"Segmentation; Convolutional neural network; Computer science; Hyperparameter; Artificial intelligence; Artificial neural network; Pattern recognition (psychology); Identification (biology); Structural engineering; Engineering","score_opus":0.008954998106586608,"score_gpt":0.21689581937737845,"score_spread":0.20794082127079183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111553838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040929127,0.00025985137,0.95643616,0.00009255961,0.000029519739,0.000027272255,0.00006573708,0.0010168259,0.0011429194],"genre_scores_gemma":[0.78562003,0.0003080714,0.20907441,0.00012739726,0.00004556338,0.0000720719,0.00040419906,0.00009665243,0.004251582],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995952,0.000029951038,0.000025617283,0.0001433492,0.00014433906,0.0000615852],"domain_scores_gemma":[0.9996408,0.000063316606,0.000040318242,0.000050216695,0.00018048733,0.000024827437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049183785,0.0006252588,0.00080882706,0.0010051305,0.00027935178,0.0005862438,0.0009759259,0.0008922814,0.0013114985],"category_scores_gemma":[0.00080193917,0.00035818643,0.0009292774,0.0005084298,0.00033893855,0.0013289567,0.0008000394,0.00083369337,0.00032435142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003007053,0.00015603985,0.0045576575,0.00011751914,0.00011818766,0.00015101476,0.00013156324,0.4209339,0.07123405,0.0049676197,0.0024973664,0.49483433],"study_design_scores_gemma":[0.0000022883696,0.000013586586,0.00041005114,0.0000019521992,0.0000085195325,0.00001703966,0.0000031272552,0.99580896,0.0031052206,0.00044611754,0.00017893608,0.000004264902],"about_ca_topic_score_codex":0.007987069,"about_ca_topic_score_gemma":0.006463989,"teacher_disagreement_score":0.007987069,"about_ca_system_score_codex":0.00074941077,"about_ca_system_score_gemma":0.00075166696,"threshold_uncertainty_score":0.01588118},"labels":[],"label_agreement":null},{"id":"W3124140523","doi":"10.1155/2021/6672762","title":"Neural Substrates of the Morphological Structure of Chinese Words","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning; Queen's University; China Electronics Technology Group Corporation; Science and Technology Commission of Shanghai Municipality; Queen's University Belfast","keywords":"Categorization; Contrast (vision); Modalities; Psychology; Representation (politics); Univariate; Cognitive psychology; Computer science; Artificial intelligence; Pattern recognition (psychology); Multivariate statistics; Machine learning; Sociology","score_opus":0.016265642086387314,"score_gpt":0.24673282219675297,"score_spread":0.23046718011036565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124140523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983103,0.00003569153,0.0005794009,0.000024571778,0.0000022597878,0.000005554936,0.00003335381,0.000004999383,0.0010038598],"genre_scores_gemma":[0.9985134,0.00005575655,0.00096866203,0.0000104515175,0.000002491019,0.000009098831,0.000056757108,0.000004307404,0.00037894587],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994946,0.0000072620483,0.000004079518,0.000018082092,0.000010506972,0.000010705338],"domain_scores_gemma":[0.9998259,0.000042738997,0.000075832184,0.000015667132,0.00001897029,0.000020993772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010507759,0.00023045004,0.00010843414,0.00031056904,0.00015850665,0.00027641896,0.00013455506,0.00016222328,0.0011693587],"category_scores_gemma":[0.00044568125,0.00014089719,0.00012070648,0.00015840027,0.00052040216,0.00033869725,0.00024987184,0.00018655972,0.000087568944],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028042778,0.000028926617,0.014361592,0.00009976662,0.000020132058,0.00030256363,0.00060900854,0.00041608533,0.96274513,0.0015747151,0.00007247476,0.01948926],"study_design_scores_gemma":[0.000035401215,0.00028016357,0.9162112,0.000023401744,0.000057811052,0.00057674013,0.0007761284,0.004231229,0.07365673,0.0034230577,0.00069949875,0.00002863569],"about_ca_topic_score_codex":0.0022473703,"about_ca_topic_score_gemma":0.0033405707,"teacher_disagreement_score":0.0022473703,"about_ca_system_score_codex":0.00024638034,"about_ca_system_score_gemma":0.0002544141,"threshold_uncertainty_score":0.00446862},"labels":[],"label_agreement":null},{"id":"W3134785351","doi":"10.1155/2021/6613425","title":"Hammerstein Box-Jenkins System Identification of the Cascaded Tanks Benchmark System","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Control Systems and Identification","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Imam Abdulrahman Bin Faisal University","keywords":"Benchmark (surveying); System identification; Nonlinear system; Control theory (sociology); MATLAB; Least-squares function approximation; Noise (video); Filter (signal processing); Cascade; Process (computing); Algorithm; Computer science; Engineering; Mathematics; Data modeling; Artificial intelligence; Control (management); Statistics","score_opus":0.005748463524545433,"score_gpt":0.17195105961940502,"score_spread":0.16620259609485957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134785351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52084106,0.00078194315,0.4579933,0.00032396364,0.00010867107,0.00022304471,0.0019846533,0.0017403895,0.016003057],"genre_scores_gemma":[0.9760838,0.00009163119,0.020810809,0.000012587585,0.0000049063597,0.00007019118,0.00056084944,0.000024050476,0.0023411333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998599,0.00003354103,0.000008819604,0.000037544978,0.000041733732,0.000018413653],"domain_scores_gemma":[0.999778,0.00009246186,0.00002832682,0.000023562588,0.00006902839,0.000008607481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042665502,0.00065482454,0.0005919574,0.00033771852,0.00038105226,0.00046962273,0.0005001976,0.0006447315,0.0019793964],"category_scores_gemma":[0.00087428314,0.00016496678,0.00038522668,0.00036812297,0.00019043693,0.00031661888,0.00034601602,0.00061895314,0.00025902534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084679654,0.000031162388,0.0010325566,0.00011138076,0.000030941002,0.000093798,0.00003265286,0.97883475,0.004142092,0.0019791245,0.0005481846,0.013078677],"study_design_scores_gemma":[0.000003919644,0.000022380309,0.00089547504,0.0000035285154,0.0000031486604,0.000006655455,0.000006858214,0.9973627,0.0010844439,0.00034033696,0.000264712,0.000005876366],"about_ca_topic_score_codex":0.026936349,"about_ca_topic_score_gemma":0.018292142,"teacher_disagreement_score":0.026936349,"about_ca_system_score_codex":0.00050091185,"about_ca_system_score_gemma":0.00072241115,"threshold_uncertainty_score":0.053559124},"labels":[],"label_agreement":null},{"id":"W3139253160","doi":"10.1155/2021/5546581","title":"Autonomous Last-Mile Delivery Based on the Cooperation of Multiple Heterogeneous Unmanned Ground Vehicles","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Last mile (transportation); Computer science; Robot; Schedule; Payload (computing); Task (project management); Heuristic; Job shop scheduling; Real-time computing; Mathematical optimization; Distributed computing; Engineering; Mile; Computer network; Artificial intelligence; Mathematics; Systems engineering","score_opus":0.013111082968528523,"score_gpt":0.19189766758157004,"score_spread":0.1787865846130415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139253160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07979901,0.00025470366,0.91532487,0.00009762574,0.000047710386,0.00006298931,0.00002070038,0.00019055694,0.004201801],"genre_scores_gemma":[0.9233299,0.00015977595,0.07432498,0.000030358964,0.000016091402,0.00008556523,0.00003849925,0.000013978188,0.002000836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999813,0.000039145092,0.0000076100887,0.00005181344,0.000049612892,0.00003884854],"domain_scores_gemma":[0.9998578,0.00003722378,0.000036398855,0.000021797126,0.000021326437,0.000025440515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002184038,0.00057039777,0.0004311627,0.0003354862,0.00048754935,0.0004288357,0.0007186466,0.0004021874,0.0006876414],"category_scores_gemma":[0.0003580584,0.00023029429,0.00043262096,0.00034357194,0.00036790894,0.0005886307,0.0008259923,0.00031819576,0.00012401362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010181996,0.000056375407,0.0010705077,0.00008543972,0.000056889185,0.00033235396,0.00012997624,0.9025191,0.022560326,0.008514926,0.00077535305,0.063797],"study_design_scores_gemma":[0.000009788572,0.000108394524,0.00026308023,0.0000030021106,0.000011822167,0.000047964924,0.00004182015,0.99509037,0.0017820884,0.0015090336,0.0011260547,0.0000065508993],"about_ca_topic_score_codex":0.0029695681,"about_ca_topic_score_gemma":0.002504217,"teacher_disagreement_score":0.0029695681,"about_ca_system_score_codex":0.00031836113,"about_ca_system_score_gemma":0.00054894603,"threshold_uncertainty_score":0.0059045553},"labels":[],"label_agreement":null},{"id":"W3161987111","doi":"10.1155/2021/5510346","title":"Technological Innovation and Value Creation of Enterprise Innovation Ecosystem Based on System Dynamics Modeling","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Commercialization; Industrial organization; Business; System dynamics; Value capture; Investment (military); Value (mathematics); Value creation; Supply chain; Enterprise value; Computer science; Marketing","score_opus":0.01356542286810805,"score_gpt":0.20917504389141486,"score_spread":0.1956096210233068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161987111","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31319788,0.0004598232,0.6580442,0.0010960364,0.0000621265,0.0001524753,0.00038064827,0.00032229006,0.026284602],"genre_scores_gemma":[0.9770032,0.00033867243,0.019835701,0.000034732617,0.000014622273,0.00019336712,0.00012051129,0.000023785184,0.0024352928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995726,0.00018734978,0.000017571361,0.000079076606,0.00008239103,0.00006117155],"domain_scores_gemma":[0.99900633,0.00067489693,0.000108880675,0.00003207635,0.00013085733,0.000047041787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076706754,0.0005497555,0.00055720756,0.0011822444,0.0006340868,0.0017820946,0.0006499645,0.0008881476,0.002682067],"category_scores_gemma":[0.0023188475,0.00027900498,0.0010457509,0.0012174329,0.00090582273,0.0024718659,0.0009563413,0.00068498135,0.0001741613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001900371,0.00002882112,0.0034603262,0.000047383823,0.00003950019,0.00010457295,0.00018050897,0.9147437,0.00081752957,0.076237224,0.00027491932,0.0040464164],"study_design_scores_gemma":[0.0000046048626,0.000008521043,0.00033636458,0.0000045156194,0.000008041185,0.000011096357,0.000023478626,0.9878314,0.00007935668,0.011392141,0.00029496144,0.0000055209093],"about_ca_topic_score_codex":0.0128869945,"about_ca_topic_score_gemma":0.0055141617,"teacher_disagreement_score":0.0128869945,"about_ca_system_score_codex":0.001917198,"about_ca_system_score_gemma":0.0018087942,"threshold_uncertainty_score":0.025623977},"labels":[],"label_agreement":null},{"id":"W3164293641","doi":"10.1155/2021/9946573","title":"Comparative Study on Feature-Based Scoring Using Vector Space Modelling System","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Taif University","keywords":"Novelty; Computer science; Cosine similarity; Similarity (geometry); Feature vector; Artificial intelligence; Data mining; Feature (linguistics); Notation; Vector space model; Machine learning; Function (biology); Novelty detection; Pattern recognition (psychology); Mathematics; Image (mathematics)","score_opus":0.05909417464206701,"score_gpt":0.27087848649377205,"score_spread":0.21178431185170504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164293641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81742483,0.0011852306,0.16455783,0.00024288952,0.00013451745,0.00025326633,0.00042158592,0.0022344035,0.013545464],"genre_scores_gemma":[0.97574246,0.00022681926,0.021682793,0.000018264269,0.000018336172,0.000060813407,0.00046744017,0.00003488199,0.0017481904],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968033,0.0012537815,0.0003103367,0.00032920754,0.001127345,0.00017605472],"domain_scores_gemma":[0.99622774,0.0016252613,0.0001636204,0.00032278264,0.0015743206,0.00008628285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003248893,0.00049428607,0.0007510247,0.0017002003,0.00044835598,0.0015170657,0.00065004046,0.00053836446,0.0030704646],"category_scores_gemma":[0.008830278,0.00012015423,0.00056477403,0.0013068763,0.00023237224,0.0016097395,0.00061904016,0.0002480723,0.00072483096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023645957,0.00066159334,0.029600168,0.0007836108,0.00035116976,0.00041865258,0.001283754,0.048063226,0.036029954,0.006588604,0.0060316073,0.867823],"study_design_scores_gemma":[0.00010883772,0.0027827122,0.06657939,0.00006981734,0.00040585894,0.00042987196,0.001225616,0.8777945,0.038056154,0.0035109215,0.008893441,0.00014289701],"about_ca_topic_score_codex":0.003752052,"about_ca_topic_score_gemma":0.0016357563,"teacher_disagreement_score":0.003752052,"about_ca_system_score_codex":0.00065718405,"about_ca_system_score_gemma":0.00044469777,"threshold_uncertainty_score":0.017182052},"labels":[],"label_agreement":null},{"id":"W3174308939","doi":"10.1155/2021/5537395","title":"Determinants of Blockchain Technology Adoption in Supply Chains by Small and Medium Enterprises (SMEs) in India","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Business; Vendor; Supply chain; Blockchain; Structural equation modeling; Technology acceptance model; Confirmatory factor analysis; Marketing; Small and medium-sized enterprises; Usability; Information technology; Knowledge management; Industrial organization; Computer science","score_opus":0.006256056733983668,"score_gpt":0.20958068149373524,"score_spread":0.20332462475975158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174308939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911135,0.000036442267,0.00007444148,0.00008691188,8.8896087e-7,0.0000055292644,0.00002311918,0.0000031634202,0.00065811013],"genre_scores_gemma":[0.999721,0.00006255508,0.000057762038,0.000009502279,7.560356e-7,0.000002988853,0.000019337656,5.930661e-7,0.00012551044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994036,0.0001316002,0.000069067064,0.000063095096,0.00015655119,0.00017602714],"domain_scores_gemma":[0.9947529,0.0023349843,0.0015938058,0.00015082832,0.0006878502,0.00047964184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005362304,0.0001457854,0.000116561896,0.0008425155,0.0004658723,0.0011555805,0.00022997218,0.00023101144,0.0010785033],"category_scores_gemma":[0.0032703718,0.00012876415,0.00027466385,0.0012147669,0.00041020653,0.0005015234,0.00068382325,0.00041177313,0.00015008607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046079655,0.00011813648,0.9818503,0.000065465225,0.000028618328,0.00068885414,0.00495957,0.0006330912,0.0012828836,0.0006120847,0.00019052674,0.0095243445],"study_design_scores_gemma":[0.0000031562117,0.0001045139,0.9854477,0.000042015734,0.00003474329,0.0003019086,0.011043475,0.0014027307,0.00062661024,0.00016905477,0.00081068627,0.000013355024],"about_ca_topic_score_codex":0.016944913,"about_ca_topic_score_gemma":0.01808606,"teacher_disagreement_score":0.016944913,"about_ca_system_score_codex":0.0006226633,"about_ca_system_score_gemma":0.0010311533,"threshold_uncertainty_score":0.0336926},"labels":[],"label_agreement":null},{"id":"W3194049016","doi":"10.1155/2021/8869758","title":"Knowledge-Based Structure Optimization Design for Boom of Excavator","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Mechanical Engineering Research and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Boom; Computer science; Excavator; Design knowledge; Domain knowledge; Expert system; Coding (social sciences); Industrial engineering; Engineering; Artificial intelligence; Structural engineering; Mathematics","score_opus":0.02476986038763456,"score_gpt":0.24934695381533276,"score_spread":0.2245770934276982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194049016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017463224,0.00010867439,0.9778631,0.00006436405,0.000014499774,0.00006137995,0.0000243718,0.00013161884,0.004268886],"genre_scores_gemma":[0.7577307,0.00031118948,0.23689893,0.00008726384,0.000015594314,0.0005582082,0.0001728185,0.00007816925,0.004147045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948514,0.00009889887,0.000027431915,0.00014552451,0.00018203717,0.00006091745],"domain_scores_gemma":[0.9997043,0.00011644191,0.000035356818,0.000023085056,0.00010631479,0.000014485937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071642554,0.0008660066,0.0009081176,0.0008369062,0.00086211396,0.0011086409,0.0011382266,0.0011680695,0.0027299244],"category_scores_gemma":[0.0013714945,0.0005986671,0.0009826748,0.0006442328,0.00077846716,0.0012723616,0.001280712,0.0007059368,0.0002462662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004219829,0.000035741403,0.00053899013,0.00011264076,0.000020895965,0.00005919013,0.00010300402,0.9543112,0.0042818757,0.007250236,0.0003422924,0.032901824],"study_design_scores_gemma":[0.0000086891705,0.00003971515,0.00016950359,0.000007944219,0.000012487645,0.000012807529,0.000024696552,0.9961791,0.0008976527,0.0021444084,0.0004960494,0.0000069298044],"about_ca_topic_score_codex":0.01049121,"about_ca_topic_score_gemma":0.007296127,"teacher_disagreement_score":0.01049121,"about_ca_system_score_codex":0.0009818105,"about_ca_system_score_gemma":0.0018554246,"threshold_uncertainty_score":0.020860314},"labels":[],"label_agreement":null},{"id":"W3194482402","doi":"10.1155/2021/3158504","title":"Analysis of Microscopic Main Controlling Factors for Occurrence of Movable Fluid in Tight Sandstone Gas Reservoirs Based on Improved Grey Correlation Theory","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources; National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Tight gas; Natural gas field; Saturation (graph theory); Geology; Physical property; RADIUS; Petroleum engineering; Mineralogy; Mechanics; Chemistry; Materials science; Hydraulic fracturing; Natural gas; Physics; Mathematics; Composite material","score_opus":0.011822222575383172,"score_gpt":0.22754031497161958,"score_spread":0.2157180923962364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194482402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7387445,0.00036177217,0.2565906,0.00012286067,0.000013090984,0.000037826703,0.00012422122,0.00026326088,0.003741777],"genre_scores_gemma":[0.99439514,0.00010595046,0.004951382,0.000007381485,0.000004304638,0.0000103532675,0.000040261417,0.000009475032,0.00047580048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998153,0.000026789361,0.000009956849,0.00004560598,0.000064139494,0.00003821837],"domain_scores_gemma":[0.99957937,0.00016689667,0.00012041116,0.000028522092,0.00008103119,0.00002375196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029657426,0.00031490836,0.00029954122,0.0011251367,0.00024279588,0.0004849931,0.00042482893,0.0003016798,0.0006258037],"category_scores_gemma":[0.0011018829,0.00019755744,0.00045929188,0.0005527404,0.00071332476,0.0011776665,0.0003759624,0.00023170168,0.00005497408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001383512,0.00007422417,0.043116312,0.00021049714,0.00009881,0.00078339403,0.00023709935,0.79681903,0.08495314,0.043456137,0.0007046278,0.029408315],"study_design_scores_gemma":[0.0000026356533,0.000013381454,0.005458998,0.0000024104206,0.000014077603,0.00003582737,0.000023150622,0.98633444,0.00551959,0.00245001,0.00013226572,0.00001317358],"about_ca_topic_score_codex":0.008186678,"about_ca_topic_score_gemma":0.0042037987,"teacher_disagreement_score":0.008186678,"about_ca_system_score_codex":0.00065232086,"about_ca_system_score_gemma":0.0007289026,"threshold_uncertainty_score":0.016278028},"labels":[],"label_agreement":null},{"id":"W3198068359","doi":"10.1155/2021/8258778","title":"COVID-19 as Information Transmitter to Global Equity Markets: Evidence from CEEMDAN-Based Transfer Entropy Approach","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Equity (law); Financial economics; Pandemic; Economics; Stock (firearms); Information transfer; Coronavirus disease 2019 (COVID-19); Business; Econometrics; Geography; Statistics; Political science; Mathematics; Marketing","score_opus":0.03655099391445491,"score_gpt":0.25368567671436837,"score_spread":0.21713468279991346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198068359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90081906,0.0010133769,0.08482793,0.0008619944,0.000044280674,0.000041637537,0.00014511931,0.000064729844,0.012182013],"genre_scores_gemma":[0.99706525,0.00020189615,0.002012346,0.00003202993,0.000022758917,0.00000769879,0.000045079076,0.000007245862,0.00060574565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996327,0.0001537423,0.000018992056,0.000054760192,0.00008235073,0.00005747621],"domain_scores_gemma":[0.9963966,0.0022638529,0.0005893028,0.00025740018,0.0002730737,0.00021982132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014950801,0.00028639063,0.000489323,0.0010722838,0.00044038956,0.0012742048,0.0005154985,0.0005003113,0.002377444],"category_scores_gemma":[0.0077283275,0.00017395618,0.00050990126,0.00041258743,0.0014347702,0.0025009972,0.0011793779,0.00083517184,0.00011516134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006143886,0.00022014494,0.06625899,0.00028829748,0.0004079185,0.0014036765,0.0008852732,0.37140715,0.008242251,0.49339396,0.0024029317,0.054475058],"study_design_scores_gemma":[0.000025188649,0.00012840386,0.017623277,0.00003359478,0.000050273702,0.00021046719,0.00019690121,0.8428003,0.0017270079,0.13623701,0.00092507893,0.000042489213],"about_ca_topic_score_codex":0.0020046122,"about_ca_topic_score_gemma":0.0008880473,"teacher_disagreement_score":0.002377444,"about_ca_system_score_codex":0.0007192138,"about_ca_system_score_gemma":0.0004911775,"threshold_uncertainty_score":0.007953346},"labels":[],"label_agreement":null},{"id":"W3200783193","doi":"10.1155/2021/1927860","title":"Research on Intelligent Recognition Algorithm of Pneumonia Based on Deep Convolution and Attention Neural Network","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Yangtze University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Pneumonia; Convolutional neural network; Overfitting; Convolution (computer science); Deep learning; Artificial intelligence; Algorithm; Separable space; Reliability (semiconductor); Computer science; Artificial neural network; Machine learning; Pattern recognition (psychology); Medicine; Mathematics","score_opus":0.06679194741966114,"score_gpt":0.33381917257830346,"score_spread":0.2670272251586423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200783193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06304332,0.004384409,0.92374086,0.0008143696,0.00025586155,0.00009359397,0.00007664692,0.001333239,0.006257684],"genre_scores_gemma":[0.79521376,0.003615995,0.19220375,0.00042994905,0.00017565409,0.00013419671,0.00028034314,0.00007728371,0.007869061],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999647,0.000042814238,0.00003538579,0.00009870664,0.0001156763,0.000060368777],"domain_scores_gemma":[0.9996511,0.00009665968,0.000035963618,0.00002581989,0.00016624921,0.000024230803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070498214,0.000650275,0.000653363,0.00088030635,0.00033267814,0.0007853815,0.0009585986,0.0007758411,0.0013367586],"category_scores_gemma":[0.001381758,0.00030139464,0.00078885845,0.0007101944,0.0003899468,0.001541587,0.00052204815,0.0008047497,0.00029760017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020834577,0.00015097376,0.007133346,0.00028926224,0.00014873182,0.0002548889,0.0001841783,0.294909,0.030815776,0.015788717,0.004208785,0.645908],"study_design_scores_gemma":[0.000009504167,0.000044897868,0.0009806934,0.000011529989,0.00003047067,0.00008414722,0.000013379615,0.9914656,0.0042114663,0.0020847474,0.0010527626,0.0000108350905],"about_ca_topic_score_codex":0.0109953405,"about_ca_topic_score_gemma":0.00539752,"teacher_disagreement_score":0.0109953405,"about_ca_system_score_codex":0.0009649622,"about_ca_system_score_gemma":0.0012041258,"threshold_uncertainty_score":0.021862686},"labels":[],"label_agreement":null},{"id":"W3210489622","doi":"10.1155/2021/9194578","title":"A Hybrid Technique Based on a Genetic Algorithm for Fuzzy Multiobjective Problems in 5G, Internet of Things, and Mobile Edge Computing","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Research Center for Informatics, Czech Technical University in Prague; Taif University; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Mobile edge computing; Mathematical optimization; Computer science; Fuzzy logic; Enhanced Data Rates for GSM Evolution; Relation (database); Domain (mathematical analysis); Genetic algorithm; Norm (philosophy); Field (mathematics); Mathematics; Artificial intelligence; Data mining","score_opus":0.006684891862565404,"score_gpt":0.21465562531112808,"score_spread":0.20797073344856268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210489622","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067410055,0.0003500648,0.989537,0.00016062749,0.00007658107,0.00006651144,0.000014158483,0.00012663503,0.0029274249],"genre_scores_gemma":[0.23939602,0.00065208337,0.75557894,0.00024710622,0.00008134963,0.00048758785,0.00008800758,0.000060597926,0.0034083428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994904,0.00018150249,0.000029117795,0.00007715672,0.0001748438,0.000047054124],"domain_scores_gemma":[0.9996499,0.0001997427,0.000034615332,0.000018453431,0.00008156585,0.00001585203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010903474,0.0011664346,0.0010337319,0.0011426569,0.000672464,0.00082845165,0.0013568237,0.0015955247,0.0016366909],"category_scores_gemma":[0.0013749616,0.00049720966,0.0015422469,0.0012226566,0.00073231,0.00069920154,0.0009093561,0.0013058343,0.0002683833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034069075,0.000053741693,0.00033441407,0.000099389916,0.00009209332,0.00010569966,0.00009579314,0.9144318,0.002990524,0.013949802,0.00086664996,0.066946045],"study_design_scores_gemma":[0.0000133766935,0.000046098063,0.000074758995,0.000014163924,0.000016141268,0.000027502427,0.000012358248,0.99592066,0.00045813582,0.0021936467,0.0012144748,0.000008685375],"about_ca_topic_score_codex":0.008671001,"about_ca_topic_score_gemma":0.00797732,"teacher_disagreement_score":0.008671001,"about_ca_system_score_codex":0.0007608239,"about_ca_system_score_gemma":0.00151998,"threshold_uncertainty_score":0.017241001},"labels":[],"label_agreement":null},{"id":"W3210684668","doi":"10.1155/2021/5461130","title":"Type I Half Logistic Burr X-G Family: Properties, Bayesian, and Non-Bayesian Estimation under Censored Samples and Applications to COVID-19 Data","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"King Abdulaziz University","keywords":"Statistics; Mathematics; Quantile; Estimator; Exponential family; Bayesian probability; Normal family; Type (biology); Logistic regression; Econometrics","score_opus":0.17500029385306082,"score_gpt":0.36103507970167315,"score_spread":0.18603478584861233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210684668","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033187084,0.0010701244,0.9628413,0.00052984024,0.000051388266,0.0000959456,0.00033758875,0.00025630038,0.0016305215],"genre_scores_gemma":[0.6114226,0.0030267392,0.3746306,0.000595744,0.0003113528,0.00093309913,0.0026191308,0.00030042764,0.0061602136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994027,0.0029075996,0.00027811094,0.0011958558,0.0011939516,0.00039747157],"domain_scores_gemma":[0.9670106,0.022490004,0.0034512028,0.0037199322,0.0027075717,0.00062072644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016952507,0.00097550696,0.0015511808,0.0024814196,0.0011647264,0.0019447921,0.0029950407,0.0021365983,0.0030085135],"category_scores_gemma":[0.050674643,0.00055718527,0.0017021309,0.0027341023,0.0026595844,0.003930825,0.002291871,0.0033920088,0.00067069946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040529354,0.000120204466,0.050675068,0.00040185713,0.0003359154,0.0016967527,0.0012215559,0.22180785,0.0034008678,0.5319721,0.009484883,0.17847763],"study_design_scores_gemma":[0.000034842302,0.00017572429,0.008115294,0.000107729764,0.000051667572,0.0014638887,0.00031856023,0.81019294,0.0013789968,0.17008166,0.007961064,0.0001175893],"about_ca_topic_score_codex":0.0036283992,"about_ca_topic_score_gemma":0.002167729,"teacher_disagreement_score":0.016952507,"about_ca_system_score_codex":0.0015129873,"about_ca_system_score_gemma":0.0014891671,"threshold_uncertainty_score":0.089654446},"labels":[],"label_agreement":null},{"id":"W3211786718","doi":"10.1155/2021/7347389","title":"Viable Supply Chain Network Design by considering Blockchain Technology and Cryptocurrency","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Agile software development; Supply chain network; Supply chain; Computer science; Transshipment (information security); Blockchain; Mathematical optimization; Cryptocurrency; Industrial engineering; Operations research; Supply chain management; Business; Engineering; Mathematics; Computer security","score_opus":0.009511113645320687,"score_gpt":0.18954004390883664,"score_spread":0.18002893026351596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211786718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02418902,0.00039095563,0.96479434,0.00038573827,0.00004074581,0.000096834665,0.00008385891,0.000080011705,0.009938474],"genre_scores_gemma":[0.7871951,0.0010211663,0.20405728,0.000099170844,0.00003533163,0.00024898304,0.0001785002,0.00006217392,0.007102361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994123,0.00022601668,0.000022625141,0.000112741756,0.0001522,0.000074206495],"domain_scores_gemma":[0.9994259,0.00028456844,0.00008739738,0.000037630245,0.00011729911,0.000047132242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008119614,0.00071074214,0.00053699606,0.0007030841,0.0006149245,0.0013622515,0.00078292226,0.00078134524,0.003813561],"category_scores_gemma":[0.0017405362,0.00045678203,0.0006568459,0.0010575604,0.00059289613,0.0018378078,0.0011300994,0.00081268174,0.00026226434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028185268,0.000024742343,0.00034873182,0.00007930502,0.000018889445,0.00009287715,0.000033703567,0.939994,0.0013835289,0.03703893,0.00058842637,0.020368716],"study_design_scores_gemma":[0.00000781454,0.00003641191,0.000052111718,0.00000958243,0.000008910563,0.000025783645,0.000018619516,0.978462,0.0003683563,0.019626508,0.0013795885,0.000004388219],"about_ca_topic_score_codex":0.0039052854,"about_ca_topic_score_gemma":0.0042813094,"teacher_disagreement_score":0.0039052854,"about_ca_system_score_codex":0.0012616273,"about_ca_system_score_gemma":0.0019626925,"threshold_uncertainty_score":0.012757659},"labels":[],"label_agreement":null},{"id":"W4200380464","doi":"10.1155/2021/5538185","title":"An Application of Possibilistic Moments of Nonlinear Type of Fuzzy Numbers in Supply Chain Management","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fuzzy logic; Supply chain; Moment (physics); Nonlinear system; Supply chain network; Fuzzy number; Mathematical optimization; Expected value; Mathematics; Computer science; Expression (computer science); Supply chain management; Operations research; Fuzzy set; Artificial intelligence; Statistics","score_opus":0.01831943048657444,"score_gpt":0.2769650455268846,"score_spread":0.2586456150403102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200380464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018395336,0.00095999,0.9744502,0.0005245083,0.00007105282,0.00002974831,0.00003548765,0.000032862117,0.0055008875],"genre_scores_gemma":[0.8476811,0.0011583447,0.14861152,0.00010204235,0.00016339197,0.00006726204,0.00002953872,0.000015559115,0.0021713197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922276,0.00040203668,0.00004104424,0.00008868338,0.00019705087,0.000048431488],"domain_scores_gemma":[0.99775213,0.0017593205,0.00017263513,0.00007640347,0.00017857437,0.000061043254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017498804,0.00061690866,0.00051051506,0.0009235757,0.0006188635,0.0014239236,0.0008584178,0.0010500546,0.001355028],"category_scores_gemma":[0.005267374,0.00041571268,0.0012082856,0.0009972987,0.00145997,0.0019100704,0.0010390126,0.0015635518,0.00012050684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007585161,0.00003722321,0.0007848909,0.00014668406,0.00006348697,0.00037670523,0.00025236138,0.5314694,0.0032359494,0.4393329,0.0007794177,0.023445087],"study_design_scores_gemma":[0.000004981376,0.000031045543,0.00014121694,0.00001654299,0.00001120004,0.00005996416,0.000025175035,0.8930785,0.00039959146,0.10535577,0.0008583611,0.000017596829],"about_ca_topic_score_codex":0.0022940713,"about_ca_topic_score_gemma":0.001721105,"teacher_disagreement_score":0.0022940713,"about_ca_system_score_codex":0.0014487677,"about_ca_system_score_gemma":0.000739159,"threshold_uncertainty_score":0.010511577},"labels":[],"label_agreement":null},{"id":"W4200418944","doi":"10.1155/2021/9780860","title":"Environmental Systems Modelling and Analysis under Changing Conditions","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Computer science; Environmental science; Biochemical engineering; Risk analysis (engineering); Engineering; Business","score_opus":0.018291802483267578,"score_gpt":0.21365064310569076,"score_spread":0.19535884062242317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200418944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017922511,0.011475115,0.8781135,0.011254845,0.0013061004,0.00031535342,0.0031150873,0.0010945188,0.07540297],"genre_scores_gemma":[0.57133186,0.034854535,0.3501102,0.0016654498,0.0014775005,0.0014364354,0.0049108355,0.0004883023,0.033724878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811965,0.0008870726,0.00011364191,0.00034265348,0.00040341655,0.00013359766],"domain_scores_gemma":[0.9973224,0.001756038,0.00023068907,0.00028765766,0.00033039608,0.00007289679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002266841,0.00082007155,0.0007373386,0.0012570238,0.0006672992,0.0032643606,0.0014699216,0.0017932327,0.006663844],"category_scores_gemma":[0.005111212,0.000395035,0.0016094706,0.0025934672,0.001481362,0.002759695,0.0023533371,0.0022685856,0.0008428065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012374003,0.000042575954,0.0031436326,0.00046753295,0.00018958349,0.00024749813,0.0005782532,0.40899175,0.00057097623,0.506421,0.016895661,0.062439177],"study_design_scores_gemma":[0.000010794536,0.0000223549,0.002119698,0.00018622875,0.000049382663,0.000090778914,0.00039283023,0.49117023,0.00033087417,0.38271347,0.122872874,0.000040452676],"about_ca_topic_score_codex":0.012194471,"about_ca_topic_score_gemma":0.008897207,"teacher_disagreement_score":0.012194471,"about_ca_system_score_codex":0.0019339242,"about_ca_system_score_gemma":0.0025075818,"threshold_uncertainty_score":0.02424699},"labels":[],"label_agreement":null},{"id":"W4220782237","doi":"10.1155/2022/6162829","title":"Quantitative Risk Analysis on Rail Transportation of Hazardous Materials","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Hamadan University of Medical Sciences","keywords":"Hazardous waste; Risk analysis (engineering); Risk assessment; Bayesian network; SAFER; Obstacle; Causality (physics); Transport engineering; Forensic engineering; Engineering; Environmental health; Business; Computer science; Waste management; Computer security; Medicine; Geography","score_opus":0.046743794731026515,"score_gpt":0.31788339054647435,"score_spread":0.27113959581544783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220782237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15536138,0.0008274162,0.8354035,0.0005862164,0.00003555648,0.00008607899,0.00021126182,0.00011565247,0.0073730135],"genre_scores_gemma":[0.9840649,0.00039788504,0.013305249,0.00002526246,0.00002063542,0.000057199435,0.000091984555,0.000013696114,0.002023235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990994,0.00042344222,0.00003003395,0.00009361211,0.0002604983,0.000093162525],"domain_scores_gemma":[0.9984774,0.0009841318,0.00022947165,0.000053916738,0.0002129987,0.00004210597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021877934,0.0008423774,0.00061513146,0.0015097369,0.0003373919,0.0012421624,0.0007153763,0.0006980258,0.0012407145],"category_scores_gemma":[0.0028022684,0.0002992535,0.0010251176,0.00061500544,0.00090657396,0.0011537127,0.0008325704,0.0005372717,0.00007979185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015201876,0.000014159603,0.0006891435,0.000028200393,0.000020659452,0.00004978237,0.000027072196,0.97892475,0.00049663044,0.01659585,0.00011076442,0.0030277914],"study_design_scores_gemma":[0.0000019533065,0.000022773647,0.0002722595,0.0000051459883,0.000008797138,0.000018160026,0.000019923385,0.99180615,0.00016376648,0.0074977838,0.00017734723,0.00000599501],"about_ca_topic_score_codex":0.0064387247,"about_ca_topic_score_gemma":0.0024588725,"teacher_disagreement_score":0.0064387247,"about_ca_system_score_codex":0.0015833849,"about_ca_system_score_gemma":0.0012217567,"threshold_uncertainty_score":0.012802482},"labels":[],"label_agreement":null},{"id":"W4220844262","doi":"10.1155/2022/4849928","title":"Global COVID-19 Epidemic Prediction and Analysis Based on Improved Dynamic Transmission Rate Model with Neural Networks","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Computer science; Artificial neural network; Residual; Nonlinear system; Conjugate gradient method; Epidemic model; Econometrics; Algorithm; Artificial intelligence; Mathematics; Population; Telecommunications; Demography","score_opus":0.05700831366691971,"score_gpt":0.3245817105472549,"score_spread":0.26757339688033516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220844262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29548556,0.000656181,0.69899696,0.00062036247,0.00008602056,0.000074156414,0.0002175093,0.00037298413,0.0034902778],"genre_scores_gemma":[0.9799212,0.00029018708,0.017424123,0.000053731717,0.000029925346,0.00006490566,0.00018114317,0.00002460979,0.0020102225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996228,0.0001009031,0.000025952171,0.00013710733,0.000059279588,0.00005389572],"domain_scores_gemma":[0.9994018,0.00029795445,0.00009950326,0.00003316682,0.00013913692,0.000028423192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010461456,0.0007807784,0.00078368996,0.0007256655,0.00032499805,0.0008143216,0.00091716833,0.0006808035,0.00082449906],"category_scores_gemma":[0.0023123415,0.00033132854,0.00077372143,0.0004385564,0.0004206053,0.0011569732,0.00070375914,0.0009380141,0.00013367573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026498747,0.000022144608,0.0027131962,0.000015777316,0.000023346156,0.000032014414,0.000019833213,0.9882997,0.00032824744,0.001098703,0.00018701477,0.007233582],"study_design_scores_gemma":[7.2407215e-7,0.000002717588,0.00016891601,8.0733724e-7,0.0000023408716,0.0000020536077,0.0000016051838,0.9995134,0.000044242952,0.0002453994,0.000016253147,0.0000014960789],"about_ca_topic_score_codex":0.020200452,"about_ca_topic_score_gemma":0.009480356,"teacher_disagreement_score":0.020200452,"about_ca_system_score_codex":0.00084243034,"about_ca_system_score_gemma":0.00089744374,"threshold_uncertainty_score":0.040165782},"labels":[],"label_agreement":null},{"id":"W4225146327","doi":"10.1155/2022/4110246","title":"Pedestrian Fall Event Detection in Complex Scenes Based on Attention-Guided Neural Network","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Graduate Research and Innovation Projects of Jiangsu Province; Nanjing Institute of Technology; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Pedestrian detection; Artificial intelligence; Bounding overwatch; Sliding window protocol; Convolutional neural network; Support vector machine; Pedestrian; Event (particle physics); Classifier (UML); Computer vision; Minimum bounding box; Feature (linguistics); Pattern recognition (psychology); Window (computing); Engineering; Image (mathematics)","score_opus":0.04145410089879711,"score_gpt":0.2771028298524296,"score_spread":0.2356487289536325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225146327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31726152,0.0012729472,0.6708713,0.0003080039,0.00019575452,0.00012363734,0.00054742536,0.004891176,0.004528204],"genre_scores_gemma":[0.9161863,0.0003434052,0.078883365,0.00017784256,0.000060699414,0.00004500378,0.0009005943,0.00007436034,0.0033285369],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997236,0.0000282561,0.0000108543945,0.00010520816,0.00006319431,0.00006895069],"domain_scores_gemma":[0.9997693,0.000059806753,0.000039761693,0.000023352077,0.00007466731,0.000033165095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040925544,0.0010112431,0.00079135277,0.0010469831,0.00032318835,0.0004396505,0.00086767995,0.00057092536,0.0010591737],"category_scores_gemma":[0.0007461812,0.0003276402,0.00050888525,0.00065319927,0.00029455777,0.00063324126,0.0006440504,0.0005387918,0.0003161206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014345705,0.0006460106,0.016687224,0.00014169482,0.00019985411,0.00051529566,0.00015772521,0.16003293,0.04969697,0.0015520683,0.009383019,0.7595526],"study_design_scores_gemma":[0.00001179804,0.00007264019,0.004042986,0.000007826429,0.00002270175,0.00008154852,0.000012787369,0.9898825,0.0047231065,0.00067017414,0.00046329128,0.000008558409],"about_ca_topic_score_codex":0.016852196,"about_ca_topic_score_gemma":0.019402312,"teacher_disagreement_score":0.016852196,"about_ca_system_score_codex":0.00077749864,"about_ca_system_score_gemma":0.0005573996,"threshold_uncertainty_score":0.03350824},"labels":[],"label_agreement":null},{"id":"W4229012242","doi":"10.1155/2022/8552743","title":"Study on the Interpretation Method of Layered Flow Imaging Logging for Oil–water, Two-Phase Flow in Horizontal Wells","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Yangtze University; National Natural Science Foundation of China; Ministry of Education","keywords":"Stratified flow; Backflow; Two-phase flow; Petroleum engineering; Flow measurement; Flow (mathematics); Mechanics; Geology; Water flow; Environmental science; Geotechnical engineering; Turbulence","score_opus":0.021986893199612525,"score_gpt":0.2714513269210938,"score_spread":0.24946443372148128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229012242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1370695,0.0010939464,0.85741985,0.00028179045,0.00014128725,0.00015312748,0.00012953665,0.0010457041,0.0026653938],"genre_scores_gemma":[0.67391753,0.0015999496,0.32090816,0.00011107258,0.00009232087,0.00014943542,0.00024226333,0.00018426839,0.0027949794],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861526,0.00017281776,0.00007751454,0.00022918577,0.00082094304,0.000084273095],"domain_scores_gemma":[0.998468,0.00036661216,0.0001627235,0.00012571937,0.00083685433,0.000040132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017748043,0.00058673153,0.0003230565,0.0011558105,0.00041349622,0.0009433644,0.00076855614,0.0005874735,0.001264207],"category_scores_gemma":[0.003025363,0.00035026277,0.0004219299,0.0008457865,0.0005019153,0.0023714923,0.00036378545,0.00053986465,0.00031381863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042993375,0.00014947931,0.024197215,0.00075798645,0.00005416069,0.0005051922,0.0011978536,0.020438118,0.33657667,0.009922697,0.0028682242,0.6029026],"study_design_scores_gemma":[0.00005816111,0.00048948947,0.02028137,0.000099895035,0.0001303195,0.001145691,0.0006342322,0.5781576,0.38223138,0.0027645752,0.013801728,0.00020547057],"about_ca_topic_score_codex":0.002764484,"about_ca_topic_score_gemma":0.0015402532,"teacher_disagreement_score":0.002764484,"about_ca_system_score_codex":0.0004841473,"about_ca_system_score_gemma":0.00094227743,"threshold_uncertainty_score":0.009386182},"labels":[],"label_agreement":null},{"id":"W4237305467","doi":"10.1155/2017/1081585","title":"Nonlinear Problems: Mathematical Modeling, Analyzing, and Computing for Finance 2016","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Science Foundation of Hunan Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Nonlinear system; Computer science; Physics","score_opus":0.03725180973607541,"score_gpt":0.23607786379798548,"score_spread":0.19882605406191006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237305467","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010996883,0.16664155,0.74156517,0.02007947,0.006670701,0.00009633021,0.00057809625,0.00054646947,0.05282539],"genre_scores_gemma":[0.25908735,0.18188469,0.42241603,0.0021540092,0.01596886,0.00045590475,0.001462995,0.00092002115,0.11565018],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917775,0.00024815425,0.000063463754,0.00015651506,0.0003158141,0.00003826575],"domain_scores_gemma":[0.9977234,0.0012874088,0.00015548283,0.00023481528,0.00045050427,0.00014834365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019677896,0.0013734951,0.0017006634,0.0011808403,0.0008353457,0.003576445,0.0010658518,0.0018376976,0.0077890954],"category_scores_gemma":[0.0059686685,0.00068663293,0.0010959312,0.0017739165,0.002671566,0.0041723023,0.002226871,0.0042281533,0.0023403862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085950865,0.00008582553,0.0009436323,0.00063192745,0.00008808988,0.00006578427,0.00022250881,0.050418686,0.0012127102,0.69224894,0.06656934,0.18742666],"study_design_scores_gemma":[0.000014448225,0.000038936985,0.00095959066,0.0002617295,0.000039291168,0.0001623207,0.00009797312,0.25578704,0.0006900216,0.65243274,0.089474194,0.00004166066],"about_ca_topic_score_codex":0.002907675,"about_ca_topic_score_gemma":0.002947743,"teacher_disagreement_score":0.0077890954,"about_ca_system_score_codex":0.0016521818,"about_ca_system_score_gemma":0.0019978466,"threshold_uncertainty_score":0.026057124},"labels":[],"label_agreement":null},{"id":"W4280611559","doi":"10.1155/2022/7436749","title":"Sustainability Assessment of Electricity Generation Development under the Implementation of Support Policies with Endogenous Financial Resources Using a Hybrid Decision Support Model","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alterra Power (Canada)","funders":"","keywords":"Sustainability; Environmental economics; Electricity market; Subsidy; Electricity; Sustainable development; Incentive; Business; Renewable energy; Electricity retailing; Electricity generation; Economics; Microeconomics; Engineering; Market economy","score_opus":0.02314069020074294,"score_gpt":0.2596275753932096,"score_spread":0.23648688519246663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280611559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77172714,0.00048119458,0.20201503,0.00093495485,0.00009388974,0.00024790026,0.0007411635,0.00023974283,0.023518967],"genre_scores_gemma":[0.9937722,0.00010263801,0.00406647,0.00003642533,0.000008778606,0.00010841345,0.000084315,0.0000061621054,0.0018146118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994752,0.0002299708,0.000021458409,0.00008427104,0.00006656935,0.00012253277],"domain_scores_gemma":[0.99878186,0.0007746506,0.00014990142,0.000030854535,0.0001806419,0.000082073435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011365071,0.001088192,0.0009361089,0.0008432789,0.0005318094,0.0021160296,0.0011689801,0.0021181481,0.0026064087],"category_scores_gemma":[0.0017055138,0.0004187919,0.0013373393,0.0006146506,0.0008536303,0.000965893,0.001018961,0.0009289821,0.00015044858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003086952,0.000021866837,0.00062691176,0.000011649808,0.000016016196,0.000035741992,0.000011586331,0.99696535,0.00015011977,0.0013505704,0.000042841737,0.0007363582],"study_design_scores_gemma":[0.000009506404,0.000021772394,0.0001274642,0.0000024069902,0.000008314787,0.0000031678055,0.000013165825,0.99927014,0.000050993585,0.00044372794,0.000045555862,0.0000038047503],"about_ca_topic_score_codex":0.01939842,"about_ca_topic_score_gemma":0.008267894,"teacher_disagreement_score":0.01939842,"about_ca_system_score_codex":0.0019129725,"about_ca_system_score_gemma":0.0014534012,"threshold_uncertainty_score":0.038571},"labels":[],"label_agreement":null},{"id":"W4281613812","doi":"10.1155/2022/9571424","title":"Promotion Strategy of Low-Carbon Consumption of Fresh Food Based on Willingness Behavior","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Shanghai Office of Philosophy and Social Science; Ministry of Public Security of the People's Republic of China; Jilin Office of Philosophy and Social Science; Science and Technology Commission of Shanghai Municipality","keywords":"Consumption (sociology); Promotion (chess); Product (mathematics); Government (linguistics); Willingness to pay; Logistic regression; Marketing; Greenhouse gas; Carbon fibers; Environmental economics; Economics; Business; Microeconomics; Medicine; Political science; Mathematics","score_opus":0.01564557682098847,"score_gpt":0.22975595629777548,"score_spread":0.21411037947678702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281613812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97506976,0.00015897208,0.008295671,0.0006471482,0.000017259028,0.00012153259,0.00007004901,0.000064570464,0.015555065],"genre_scores_gemma":[0.9945703,0.00012147461,0.0032169218,0.000047118723,0.000004623657,0.000072193565,0.000047955404,0.000004368507,0.0019149873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971503,0.00011119331,0.000015611782,0.000041733492,0.000058186026,0.00005819962],"domain_scores_gemma":[0.9994709,0.00018863367,0.00009906406,0.000022191518,0.00011085934,0.00010846296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006193352,0.00024714356,0.00016985928,0.0006506373,0.0003597013,0.00077412406,0.00025794862,0.00042328192,0.0044412436],"category_scores_gemma":[0.0015515597,0.000102686885,0.00035481263,0.000367372,0.00021903652,0.00055204413,0.00036579414,0.00032828804,0.00041334407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005643761,0.004845161,0.6621699,0.0010154378,0.0002656045,0.00063060765,0.005342619,0.0056261164,0.019650161,0.01159228,0.0036227067,0.28467512],"study_design_scores_gemma":[0.00011865916,0.0022196395,0.9057849,0.0002597059,0.0004315753,0.00051724,0.017486332,0.039425913,0.009892777,0.010135368,0.013595294,0.00013256524],"about_ca_topic_score_codex":0.0017555351,"about_ca_topic_score_gemma":0.0026901364,"teacher_disagreement_score":0.0044412436,"about_ca_system_score_codex":0.00036671155,"about_ca_system_score_gemma":0.00068317767,"threshold_uncertainty_score":0.014857411},"labels":[],"label_agreement":null},{"id":"W4281744740","doi":"10.1155/2022/5348017","title":"Optimal Sizing of Hybrid Energy System Using Random Exploratory Search-Centred Harris Hawks Optimizer with Improved Exploitation Capability","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sizing; Benchmark (surveying); Maxima and minima; Mathematical optimization; Renewable energy; Wind power; Metaheuristic; Computer science; Greenhouse gas; Reliability engineering; Engineering; Mathematics","score_opus":0.018709495200946107,"score_gpt":0.19925544209932217,"score_spread":0.18054594689837605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281744740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09789639,0.001204517,0.8858692,0.00019050304,0.0000702934,0.00014407761,0.00011343995,0.0003847405,0.014126814],"genre_scores_gemma":[0.87240595,0.00042106461,0.1220852,0.00012823901,0.000031915035,0.00029940985,0.00017648577,0.00007069264,0.00438091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997892,0.00005853504,0.00001415824,0.000042413256,0.000066847075,0.000028901766],"domain_scores_gemma":[0.9998368,0.00008346836,0.000030146946,0.000007772723,0.000029789986,0.0000119338765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040800363,0.0007525392,0.00082335045,0.0004699073,0.0001978189,0.00068522454,0.0005328173,0.0004489832,0.0015922218],"category_scores_gemma":[0.0006153675,0.00036908596,0.00071025325,0.0004731987,0.00041333857,0.00033575704,0.00048239244,0.0003762932,0.00015327918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031403775,0.00001541681,0.00035208184,0.00005490948,0.000035432993,0.000070771996,0.000025534257,0.9814193,0.0020460766,0.0022514022,0.00041923486,0.013278512],"study_design_scores_gemma":[0.0000057455045,0.000018546945,0.000077900426,0.0000028455875,0.000005814073,0.000006415077,0.0000046132404,0.9991098,0.00017024511,0.00044394474,0.00015185545,0.0000022733764],"about_ca_topic_score_codex":0.00394793,"about_ca_topic_score_gemma":0.0034105708,"teacher_disagreement_score":0.00394793,"about_ca_system_score_codex":0.00041707553,"about_ca_system_score_gemma":0.00082635565,"threshold_uncertainty_score":0.007849932},"labels":[],"label_agreement":null},{"id":"W4281762838","doi":"10.1155/2022/2700498","title":"Simulating Nonhomogeneous Non-Gaussian Field by Using Iterative Rank-Dependent Reordering versus Translation Process-Based Procedure","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Translation (biology); Rank (graph theory); Algorithm; Convergence (economics); Matching (statistics); Computer science; Gaussian; Mathematical optimization; Process (computing); Field (mathematics); Function (biology); Applied mathematics; Mathematics; Statistics","score_opus":0.04598216140635163,"score_gpt":0.3333289729800439,"score_spread":0.28734681157369224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281762838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036442462,0.00006563017,0.96171397,0.00009462441,0.000023655719,0.000052910123,0.000039422386,0.00029395818,0.0012733684],"genre_scores_gemma":[0.55686134,0.00013222861,0.44044864,0.00010074265,0.000024450599,0.00013981933,0.00017882975,0.00009335921,0.002020649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957246,0.00018829263,0.00002296336,0.000054163258,0.0001162711,0.000045818557],"domain_scores_gemma":[0.9983273,0.0009853566,0.00020062101,0.00022219433,0.0002127978,0.000051664858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012543143,0.0004820454,0.00055206806,0.00044702878,0.00031758813,0.0005799864,0.00075301476,0.000759613,0.0016906003],"category_scores_gemma":[0.004052665,0.00019225628,0.00053468114,0.00063256023,0.0006670916,0.0008116432,0.00071839767,0.00060819066,0.00030304186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013511215,0.00004244488,0.0013341991,0.00006777357,0.000021922304,0.00013542215,0.00007915392,0.94113874,0.0049752365,0.018670844,0.000488243,0.03291091],"study_design_scores_gemma":[0.000007884679,0.000015410504,0.000094561445,0.0000020636394,0.000002644245,0.000015833335,0.0000078116,0.99648845,0.0017197827,0.0014747845,0.00016548256,0.0000052940027],"about_ca_topic_score_codex":0.0044014435,"about_ca_topic_score_gemma":0.0035693352,"teacher_disagreement_score":0.0044014435,"about_ca_system_score_codex":0.00043930864,"about_ca_system_score_gemma":0.0010734192,"threshold_uncertainty_score":0.008751631},"labels":[],"label_agreement":null},{"id":"W4296460213","doi":"10.1155/2022/9143080","title":"Effect of Farmland Transfer on Poverty Reduction under Different Targeted Poverty Alleviation Patterns Based on PSM-DID Model in Karst Area of China","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Social Science Fund of China; Social Sciences and Humanities Research Council of Canada","keywords":"Poverty; Relocation; China; Tourism; Consumption (sociology); Rural poverty; Rural area; Socioeconomics; Agricultural economics; Business; Economic growth; Geography; Economics; Political science","score_opus":0.009545421566159831,"score_gpt":0.1868639022206328,"score_spread":0.17731848065447295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296460213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982607,0.000052482214,0.0012150723,0.0001108501,0.000005990608,0.000036297246,0.000052808908,0.000012649757,0.0002532882],"genre_scores_gemma":[0.99922097,0.000041158113,0.00041752966,0.000015671172,0.0000025053678,0.000027078342,0.000069618814,0.0000014580522,0.00020395829],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855334,0.00076658424,0.000051361614,0.0002083034,0.000106509426,0.00031387727],"domain_scores_gemma":[0.99870133,0.0005609854,0.00026011054,0.00011223367,0.00016373457,0.00020162508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031908674,0.00065602944,0.00061780127,0.0007369066,0.0004232139,0.00066401873,0.0009713248,0.00040268805,0.0013435321],"category_scores_gemma":[0.004034788,0.00018905253,0.001659575,0.00056629785,0.00053495466,0.00065160723,0.0011234264,0.0005124498,0.00006788513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002147913,0.0019475719,0.6929216,0.0002176179,0.0014615059,0.00053925446,0.00061197096,0.24639072,0.0012302595,0.0033984692,0.0011955529,0.04793746],"study_design_scores_gemma":[0.00028954222,0.001953076,0.3186333,0.00003119181,0.00064838363,0.00006064229,0.00097218744,0.6738576,0.0007749723,0.002135699,0.0006057241,0.000037579503],"about_ca_topic_score_codex":0.04050654,"about_ca_topic_score_gemma":0.018111445,"teacher_disagreement_score":0.04050654,"about_ca_system_score_codex":0.0020304567,"about_ca_system_score_gemma":0.0021197814,"threshold_uncertainty_score":0.08054155},"labels":[],"label_agreement":null},{"id":"W4307027625","doi":"10.1155/2022/3952442","title":"Impacts of Urban Shrinkage on Haze Pollution-Evidence from China","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Government of Jiangsu Province","keywords":"Haze; China; Shrinkage; Pollution; Geography; Environmental science; Physical geography; Environmental protection; Environmental engineering; Meteorology","score_opus":0.02031029630106448,"score_gpt":0.25535963223262087,"score_spread":0.23504933593155639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307027625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976324,0.00076740235,0.00015844082,0.00018664068,0.0000064392593,0.0000059202434,0.0002699403,0.000005613065,0.0009671854],"genre_scores_gemma":[0.9989893,0.00055675424,0.000051730087,0.000031819418,0.0000087121525,0.000002362505,0.00026072754,0.0000016054993,0.000096883814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995105,0.00010049143,0.000058675196,0.00009656373,0.00015152222,0.000082185645],"domain_scores_gemma":[0.99807847,0.00031595564,0.0006928697,0.0002521046,0.0005173192,0.00014332688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083116,0.00044860714,0.000314951,0.0013197422,0.00043004457,0.0005307265,0.00037533158,0.00018078004,0.0007949455],"category_scores_gemma":[0.0017486064,0.00016614443,0.0009168085,0.0020783471,0.00077122776,0.00047933628,0.0009703887,0.00026931375,0.00007465647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005547823,0.000021932408,0.9880497,0.00009519766,0.00016811537,0.00024093199,0.0006681213,0.0007220787,0.00026973968,0.00022883691,0.00021881986,0.009261096],"study_design_scores_gemma":[0.000002509375,0.000025130188,0.99802554,0.000015907135,0.00006595816,0.000032990978,0.0006827834,0.00037837893,0.00016050675,0.000053770513,0.00055150973,0.000004931195],"about_ca_topic_score_codex":0.08761542,"about_ca_topic_score_gemma":0.1107215,"teacher_disagreement_score":0.08761542,"about_ca_system_score_codex":0.0007551854,"about_ca_system_score_gemma":0.0011373704,"threshold_uncertainty_score":0.1742109},"labels":[],"label_agreement":null},{"id":"W4308444644","doi":"10.1155/2022/8220453","title":"A Hybrid Improved Neural Networks Algorithm Based on L2 and Dropout Regularization","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Overfitting; MNIST database; Computer science; Autoencoder; Artificial neural network; Regularization (linguistics); Artificial intelligence; Machine learning; Dropout (neural networks); Data set; Algorithm; Pattern recognition (psychology)","score_opus":0.007389142467747076,"score_gpt":0.18605188185314134,"score_spread":0.17866273938539426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308444644","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008795476,0.0003998946,0.98908126,0.00015422839,0.000042163654,0.00005246171,0.000034650744,0.0006271314,0.00081271376],"genre_scores_gemma":[0.24175008,0.000560273,0.74892116,0.000433784,0.00011482344,0.00042297313,0.0004354259,0.0003153012,0.007046186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897325,0.00030388826,0.00008057438,0.00020154307,0.00035472595,0.00008593653],"domain_scores_gemma":[0.99896395,0.00038116463,0.00012603133,0.00010911856,0.00038401128,0.000035733912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026259744,0.0014448672,0.0013851369,0.001166103,0.0005920615,0.001021416,0.002609979,0.0019227646,0.0014501717],"category_scores_gemma":[0.0039289393,0.00058231613,0.0012928575,0.0011449237,0.0006837457,0.0023196705,0.0011715869,0.0019398808,0.0005604658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024979794,0.00017269021,0.0024963135,0.00017394742,0.00029361522,0.00012409488,0.0001509642,0.59903854,0.009364793,0.009330339,0.0040725735,0.37453237],"study_design_scores_gemma":[0.000008262453,0.00003397807,0.00017383795,0.000006910033,0.000012689863,0.000024148674,0.000004588357,0.996563,0.0016332916,0.0008201115,0.0007118046,0.0000073612005],"about_ca_topic_score_codex":0.0077918237,"about_ca_topic_score_gemma":0.008869,"teacher_disagreement_score":0.0077918237,"about_ca_system_score_codex":0.0013019417,"about_ca_system_score_gemma":0.0015437132,"threshold_uncertainty_score":0.015492916},"labels":[],"label_agreement":null},{"id":"W4366202016","doi":"10.1155/2023/1600610","title":"Collective Dynamical Behaviors of Nonlocally Coupled Brockett Oscillators","year":2023,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Center for Nonlinear Systems, Chennai Institute of Technology","keywords":"Coupling strength; Coupling (piping); Physics; Oscillation (cell signaling); Cluster (spacecraft); Collective behavior; Nonlinear dynamical systems; State (computer science); Statistical physics; Nonlinear system; Quantum mechanics; Mathematics; Condensed matter physics; Computer science; Materials science","score_opus":0.010660146816277291,"score_gpt":0.22515564613831102,"score_spread":0.2144954993220337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366202016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9384337,0.0002598839,0.056767996,0.000111595735,0.000021905706,0.000023304585,0.000027718912,0.00004828965,0.0043054917],"genre_scores_gemma":[0.99452597,0.00008129331,0.0035990872,0.000017812356,0.00000671578,0.00002801601,0.000019250641,0.000006183516,0.001715615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998821,0.000025660976,0.0000047092344,0.000037615948,0.000023367815,0.000026535552],"domain_scores_gemma":[0.9997713,0.000052546045,0.00008621459,0.000021445654,0.00003014106,0.000038359278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022245008,0.00029810707,0.00044781418,0.00038502124,0.00044430836,0.00048139246,0.00053059927,0.00050884916,0.0009990938],"category_scores_gemma":[0.000557423,0.00014287475,0.00024531802,0.00019003969,0.00063947047,0.00055178447,0.00059954444,0.00029412817,0.000090133464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002392928,0.00019157979,0.012089253,0.00015668874,0.00024442535,0.0016839273,0.00050537166,0.8240689,0.11000815,0.038802184,0.00052437297,0.011485813],"study_design_scores_gemma":[0.000021193368,0.000099562014,0.0033985793,0.0000067754286,0.000029529749,0.00011344961,0.00009546602,0.98888004,0.0027678057,0.004062498,0.0005045146,0.000020611587],"about_ca_topic_score_codex":0.0015896616,"about_ca_topic_score_gemma":0.0014729664,"teacher_disagreement_score":0.0015896616,"about_ca_system_score_codex":0.0002603162,"about_ca_system_score_gemma":0.00019923289,"threshold_uncertainty_score":0.0033422709},"labels":[],"label_agreement":null}]}