{"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30685905,0.00002047248,0.692703,0.000026540007,0.00004909856,0.00016289236,0.0000016301433,0.000019637897,0.00015765204],"genre_scores_gemma":[0.997724,6.1239535e-7,0.0021340956,0.000010334551,0.000026583493,0.00008236916,0.0000025654344,0.000011501253,0.000007963315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999244,0.000023239807,0.00030623729,0.000117509844,0.00017988369,0.00012914081],"domain_scores_gemma":[0.998752,0.0009810483,0.00007437489,0.00010930751,0.000050629304,0.000032665568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041320856,0.00008688938,0.0001575156,0.000040889776,0.000016410513,0.00001169964,0.00008883693,0.00004804127,0.000016073123],"category_scores_gemma":[0.00050177914,0.000063413274,0.000041285606,0.00015875614,0.000020765001,0.000065040935,0.0000044487997,0.00004710303,0.0000020247908],"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":[0.0000071036866,0.000057853045,0.0000039845454,0.00028787847,0.000001801222,2.0791054e-8,0.00046020787,0.53474677,0.45877844,0.0055729905,0.0000019420577,0.00008099792],"study_design_scores_gemma":[0.00026699025,0.00012139835,0.00001191618,0.0001463617,0.0000069264247,6.4589835e-7,0.00003977989,0.34428406,0.6420578,0.0129861785,0.0000089785835,0.00006902213],"about_ca_topic_score_codex":0.0000026190417,"about_ca_topic_score_gemma":2.0828656e-7,"teacher_disagreement_score":0.6908649,"about_ca_system_score_codex":0.00004201787,"about_ca_system_score_gemma":0.000019881069,"threshold_uncertainty_score":0.25859183},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93846786,0.000318874,0.05831726,0.00004520854,0.00012125806,0.00047960258,0.000042414522,0.000047242902,0.0021602947],"genre_scores_gemma":[0.99378216,0.0000060244283,0.006078494,0.000004787951,0.000031434385,0.000054589535,0.000015749132,0.000015256327,0.000011522208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987407,0.000009633671,0.00078787125,0.00025201234,0.000055605567,0.00015421369],"domain_scores_gemma":[0.9992491,0.00006901012,0.00015859431,0.00044381854,0.0000232879,0.000056185952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007587741,0.00013297069,0.0003375574,0.0001444085,0.000021131164,0.000043564323,0.00022420843,0.000054983575,0.000050256454],"category_scores_gemma":[0.0008566541,0.00012743169,0.00002057398,0.00025716078,0.000019203948,0.0005200511,0.00009023252,0.00011174538,0.00001910865],"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":[0.000022926863,0.0039687534,0.06702007,0.0030865604,0.00014205289,0.00051553734,0.0258526,0.3945561,0.00011740012,0.5039744,0.00037230705,0.00037128877],"study_design_scores_gemma":[0.00083429617,0.00028530546,0.0021212087,0.00011352092,0.000006018262,0.00010640225,0.00044362445,0.7753552,0.00000554687,0.22042914,0.000036487923,0.0002632497],"about_ca_topic_score_codex":0.00040568793,"about_ca_topic_score_gemma":0.000058668145,"teacher_disagreement_score":0.3807991,"about_ca_system_score_codex":0.000046001278,"about_ca_system_score_gemma":0.0000151799795,"threshold_uncertainty_score":0.51965135},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08937737,0.000015662898,0.9079169,0.000031079093,0.00028793912,0.00031186934,1.7700535e-7,0.00013013933,0.0019288351],"genre_scores_gemma":[0.96535045,1.2764595e-7,0.03450072,0.0000048173024,0.00002649514,0.00007442396,2.2543816e-7,0.000010034926,0.000032687025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989534,0.000019332989,0.0004158221,0.00015591149,0.00026878848,0.00018674244],"domain_scores_gemma":[0.9993166,0.00030537051,0.000055356264,0.00020218073,0.00004785501,0.0000726565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420619,0.000113674265,0.00021924933,0.00011594795,0.000018416014,0.000037810893,0.00035326264,0.000037425758,0.0000014162547],"category_scores_gemma":[0.00035686122,0.00009970635,0.000030533363,0.00020150661,0.0000058630853,0.000109472276,0.00012597827,0.00016217343,0.00003318214],"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":[0.0000032304285,0.0012210221,0.00024334829,0.0005983257,0.000079150996,0.00005369969,0.062234513,0.75597775,0.00009300778,0.1774352,0.00013514454,0.0019256043],"study_design_scores_gemma":[0.00069993787,0.00030358712,0.000251749,0.0019076044,0.000008579917,0.000019016157,0.0017380314,0.9918203,0.00064218004,0.0020147003,0.0002672422,0.00032709507],"about_ca_topic_score_codex":0.0000037788577,"about_ca_topic_score_gemma":0.0000022946451,"teacher_disagreement_score":0.8759731,"about_ca_system_score_codex":0.00015911697,"about_ca_system_score_gemma":0.000024732997,"threshold_uncertainty_score":0.40659067},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006592184,0.00007265498,0.9894196,0.00022254488,0.00042638628,0.0006723435,0.000011165437,0.00065684464,0.001926311],"genre_scores_gemma":[0.86901283,0.0000013781508,0.13020395,0.00008242953,0.00023108695,0.0002769209,0.000015479356,0.00012788892,0.00004802476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795705,0.000020972366,0.0005075539,0.0003396794,0.00045454965,0.00072017446],"domain_scores_gemma":[0.9983507,0.0007427376,0.000023399869,0.00038639072,0.00005732065,0.00043944773],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007898652,0.00034938855,0.00044136567,0.00031529635,0.00003106127,0.00006831886,0.00025090654,0.0002596992,0.000084012776],"category_scores_gemma":[0.0006951962,0.00034692738,0.00011787545,0.0005481462,0.0000264708,0.00008905582,0.000043178243,0.00058906333,0.0001153376],"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":[0.00001114506,0.00007889264,0.000035228408,0.00030877668,0.000032514152,0.000009863663,0.00012812774,0.9621674,0.0000457521,0.036066975,0.0007169576,0.00039839608],"study_design_scores_gemma":[0.0004625784,0.00010022667,0.00002446228,0.0005964005,0.000019786792,0.000012843694,0.00000861268,0.9819644,0.00018190997,0.012147564,0.004091113,0.00039011863],"about_ca_topic_score_codex":0.0000025650759,"about_ca_topic_score_gemma":0.0000053659105,"teacher_disagreement_score":0.8624207,"about_ca_system_score_codex":0.00044891905,"about_ca_system_score_gemma":0.0000425876,"threshold_uncertainty_score":0.99989825},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006698047,0.000043044787,0.99100864,0.00008237934,0.00013008153,0.001316569,0.0000027753408,0.00037812738,0.0003403178],"genre_scores_gemma":[0.49503538,0.000010410442,0.5044141,0.0000067989513,0.000022879425,0.00037949023,0.000008749532,0.000063062515,0.00005915815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840397,0.000007658672,0.0005156902,0.0003305096,0.0002609571,0.00048122965],"domain_scores_gemma":[0.9993514,0.000095588766,0.00005361246,0.000248156,0.00012414028,0.000127108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006229399,0.0002739973,0.00030640553,0.0001537919,0.000044161396,0.000063068015,0.00013574002,0.00010813423,0.0000041875815],"category_scores_gemma":[0.00022833729,0.00022947819,0.000047778027,0.00021019398,0.00002714411,0.000420215,0.00003286159,0.00019771741,0.0000024949652],"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":[0.000026545717,0.000050419025,0.000004802867,0.0009895625,0.000015137073,8.916041e-7,0.0006324501,0.9966726,0.000098174096,0.0007474018,0.00006664452,0.00069539],"study_design_scores_gemma":[0.00084330566,0.000049387192,0.0000012550918,0.0010790287,0.000014519744,0.000017644263,0.00006303572,0.9825558,0.0005063764,0.014544055,0.000024370058,0.000301228],"about_ca_topic_score_codex":0.000001855832,"about_ca_topic_score_gemma":0.000006168101,"teacher_disagreement_score":0.48833734,"about_ca_system_score_codex":0.0003717699,"about_ca_system_score_gemma":0.00003185292,"threshold_uncertainty_score":0.9357849},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017288467,0.00006314355,0.9818783,0.000025604199,0.00010325772,0.00017237631,0.0000016973939,0.00011799089,0.00034916686],"genre_scores_gemma":[0.6921711,6.4045076e-7,0.3077946,0.0000041018716,0.000005880113,0.000010962389,7.9042877e-7,0.000008916172,0.0000030004906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989669,0.000025338963,0.00030438596,0.00022753519,0.00022582084,0.00025003732],"domain_scores_gemma":[0.999431,0.00018288053,0.000070731236,0.00018169031,0.00002670955,0.0001069673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005566862,0.0001387219,0.0002628524,0.0001788374,0.000014655757,0.000025298015,0.00021945006,0.00007590563,0.0000012929925],"category_scores_gemma":[0.00022786696,0.00013635751,0.000020589814,0.00018680646,0.000035148452,0.0002129121,0.0000693191,0.00019853069,0.0000028801305],"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":[0.0000039034267,0.000113789356,0.00020910201,0.0009244854,0.000043284756,0.000090456655,0.01716925,0.905413,0.009603842,0.059577383,0.000006938405,0.006844581],"study_design_scores_gemma":[0.00033472246,0.000045419056,0.00033650215,0.0005785355,0.000003867856,0.000086186024,0.00014540138,0.9750511,0.0005231362,0.022756597,5.270994e-7,0.0001380261],"about_ca_topic_score_codex":0.0000030576111,"about_ca_topic_score_gemma":1.4933823e-7,"teacher_disagreement_score":0.67488265,"about_ca_system_score_codex":0.00008217816,"about_ca_system_score_gemma":0.000027874834,"threshold_uncertainty_score":0.5560498},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.553992,0.0027132032,0.05523026,0.0004191864,0.0033176907,0.00023983719,0.00052089366,0.00048686663,0.38308007],"genre_scores_gemma":[0.9921206,0.00017382273,0.0023967908,0.00020680497,0.000995786,0.0028419595,0.00038333685,0.0007698139,0.000111049034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9912307,0.0002979076,0.002374536,0.0013568274,0.0021104177,0.0026295807],"domain_scores_gemma":[0.9926463,0.0029045916,0.0013354617,0.0018157635,0.00020694497,0.0010909502],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023078565,0.00095190847,0.00062443217,0.0004939644,0.0005486189,0.00094915816,0.0015870075,0.001933647,0.20116127],"category_scores_gemma":[0.0023983063,0.0016137497,0.0013924488,0.0008671365,0.0007276094,0.0010999114,0.0007895669,0.0014269858,0.00042879122],"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":[0.0026901846,0.00053588854,0.000041791038,0.013933123,0.0041701896,0.0005911802,0.008881954,0.21165428,0.004707199,0.68782586,0.0641895,0.0007788381],"study_design_scores_gemma":[0.0039904444,0.0013485228,0.000039257648,0.0028738915,0.0009717044,0.0004687114,0.002338746,0.49623466,0.4896873,0.00027638578,0.0004740638,0.001296332],"about_ca_topic_score_codex":0.00066477584,"about_ca_topic_score_gemma":0.0007114481,"teacher_disagreement_score":0.6875495,"about_ca_system_score_codex":0.00004300074,"about_ca_system_score_gemma":0.00069918705,"threshold_uncertainty_score":0.99936205},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00097557984,0.00013292831,0.9936517,0.00012958772,0.00007729591,0.00012465015,2.7742962e-7,0.0002396334,0.0046683564],"genre_scores_gemma":[0.08971221,0.0000012044427,0.90984905,0.000012881712,0.00003098653,0.000031296448,8.6246166e-7,0.00002096302,0.0003405543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867415,0.00003491322,0.00043029065,0.00027299108,0.00020191097,0.00038576516],"domain_scores_gemma":[0.9992323,0.00016730966,0.00007236639,0.0003359373,0.000051707186,0.00014041066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012217718,0.00017216065,0.00032427823,0.00013673259,0.00003252773,0.00011810031,0.00044536236,0.000056610024,0.000020423844],"category_scores_gemma":[0.0006937946,0.00015239415,0.00006390426,0.0005858826,0.000019112715,0.00067853346,0.00029218826,0.00017472572,0.000051031933],"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":[0.0000027774481,0.00006122933,0.0000400449,0.0002852305,0.00002877943,0.00002182848,0.0023536435,0.86049086,0.0027668898,0.08196588,0.0000592815,0.05192358],"study_design_scores_gemma":[0.00015432361,0.000043778527,0.0000042442034,0.00014327207,0.0000039189836,0.000045638968,0.00002936688,0.96624506,0.00056933955,0.031926416,0.0006463804,0.0001882862],"about_ca_topic_score_codex":0.0000022074516,"about_ca_topic_score_gemma":6.833538e-7,"teacher_disagreement_score":0.1057542,"about_ca_system_score_codex":0.00006408096,"about_ca_system_score_gemma":0.000020375584,"threshold_uncertainty_score":0.6214453},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76549745,0.00039812733,0.22995882,0.00004835499,0.0002761177,0.0007265628,0.000020727146,0.00042071025,0.0026531229],"genre_scores_gemma":[0.98926044,0.0000053442964,0.010615283,0.0000028142886,0.000029058347,0.00002846002,0.000005853378,0.00004433409,0.000008424999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863875,0.000021555377,0.00057579007,0.00017601739,0.00027980682,0.0003080687],"domain_scores_gemma":[0.99906164,0.00049653486,0.000041283107,0.00023202332,0.000064612905,0.00010391039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002681768,0.000200124,0.00045312557,0.0002650426,0.000011666327,0.0000111331665,0.00014109389,0.00010948102,0.000014795333],"category_scores_gemma":[0.0005872499,0.00020533496,0.000045068482,0.00055000826,0.000025336998,0.0001692128,0.00005689722,0.00026376842,0.000021535745],"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":[0.0000027801752,0.00007171264,0.0011601937,0.0002774268,0.000022442915,0.000010874241,0.0028059306,0.9941567,0.0007817756,0.00060427457,0.000018877503,0.00008697613],"study_design_scores_gemma":[0.0005601442,0.000017534192,0.0006346136,0.00021614757,0.000012797917,0.0000069619186,0.0001125307,0.9907231,0.00042091074,0.007023113,0.00005064227,0.00022152968],"about_ca_topic_score_codex":0.000019858659,"about_ca_topic_score_gemma":0.000032119107,"teacher_disagreement_score":0.22376296,"about_ca_system_score_codex":0.00023080781,"about_ca_system_score_gemma":0.000018211333,"threshold_uncertainty_score":0.83733165},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028337255,0.0000359399,0.9671637,0.00043157706,0.00011996429,0.0017204589,0.0000013529647,0.0002572394,0.001932548],"genre_scores_gemma":[0.9325372,9.170019e-7,0.065968156,0.00017961326,0.00018599385,0.00076822785,0.0000148172185,0.0000992891,0.00024580446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977423,0.00000836435,0.0006186661,0.00044310544,0.00031840205,0.00086918974],"domain_scores_gemma":[0.9992861,0.00022558673,0.0001105699,0.00027121766,0.00006338152,0.000043137523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002484675,0.0003285885,0.0004467559,0.0006019252,0.000047705664,0.00017853413,0.00032197527,0.000113236354,0.000021368449],"category_scores_gemma":[0.00072124257,0.0003379706,0.00007701598,0.0005093222,0.000016827586,0.0005851648,0.0002653697,0.0002968981,0.000019238305],"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":[0.000012581899,0.00007598761,0.0006471748,0.0026556912,0.00001356051,0.000014657444,0.000753517,0.9606006,0.00006459208,0.03407128,0.00033418194,0.0007561896],"study_design_scores_gemma":[0.0009986107,0.0000075737385,0.000035295066,0.0002649455,0.000016446578,0.000002373175,0.0007326506,0.8801571,0.00007927334,0.11652896,0.000836545,0.00034021918],"about_ca_topic_score_codex":0.00007809518,"about_ca_topic_score_gemma":0.000052650008,"teacher_disagreement_score":0.90419996,"about_ca_system_score_codex":0.0003430155,"about_ca_system_score_gemma":0.000025938554,"threshold_uncertainty_score":0.99990726},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1690233,0.00032600033,0.81196326,0.00004911246,0.00019396114,0.000791555,0.000012262516,0.0002805372,0.017359989],"genre_scores_gemma":[0.9950254,0.0000025636944,0.004528784,0.00000629004,0.000063334286,0.00013285514,0.0000052751175,0.000063357096,0.00017212519],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786586,0.00005066108,0.00097415387,0.00024814825,0.0004387773,0.000422388],"domain_scores_gemma":[0.99919295,0.00016406634,0.00008050103,0.00029481645,0.000058796697,0.00020884069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073447445,0.0002729323,0.00064985245,0.00015336556,0.000020124924,0.000021959757,0.0002147178,0.00017653163,0.000523224],"category_scores_gemma":[0.00022963509,0.00023777373,0.00013242112,0.0003328394,0.000033687556,0.00008161889,0.000027816372,0.0002552132,0.000096240925],"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":[0.00002886882,0.00023931797,0.00002602365,0.0016097015,0.000055273642,0.000011538483,0.004333359,0.9767181,0.0076505546,0.009050448,0.000011813398,0.00026499218],"study_design_scores_gemma":[0.0009617716,0.00010169254,0.000004015472,0.00083221705,0.000028872671,0.00003688071,0.00022544856,0.97858816,0.002857778,0.015824806,0.00025202945,0.00028634947],"about_ca_topic_score_codex":0.00012874213,"about_ca_topic_score_gemma":0.000030356015,"teacher_disagreement_score":0.8260021,"about_ca_system_score_codex":0.000080244055,"about_ca_system_score_gemma":0.000038688508,"threshold_uncertainty_score":0.9696131},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072732056,0.000058880818,0.99777484,0.000065876295,0.000034248253,0.0010269608,0.0000011418923,0.00025482813,0.000055927914],"genre_scores_gemma":[0.08771248,0.0000016036281,0.91177016,0.000004217913,0.0000136660165,0.00046027423,0.0000017350724,0.000011797923,0.000024048695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991103,0.000010955301,0.00033491934,0.0001844202,0.00014979028,0.00020960947],"domain_scores_gemma":[0.9995007,0.00009059077,0.00004478524,0.00025502295,0.000039048067,0.00006988601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003291515,0.00010274503,0.00016260473,0.000081868966,0.00001757309,0.000028871125,0.00032719027,0.000033697168,0.0000010372773],"category_scores_gemma":[0.000027631762,0.00009396407,0.000032078857,0.00025124685,0.00001708832,0.00010089673,0.000106207255,0.00005216837,0.000006648498],"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":[0.0000015729431,0.00020805854,0.000007588426,0.00053628645,0.000014438756,0.0000017124034,0.00051070424,0.97570753,0.00019014503,0.019446058,0.00005754466,0.0033183726],"study_design_scores_gemma":[0.0004827372,0.00004586621,0.000028146043,0.00013144691,0.000005792517,0.000005965129,0.000019209547,0.9889143,0.00006404378,0.00998648,0.00021135854,0.00010462707],"about_ca_topic_score_codex":8.022074e-7,"about_ca_topic_score_gemma":8.3824524e-8,"teacher_disagreement_score":0.08698516,"about_ca_system_score_codex":0.000035569617,"about_ca_system_score_gemma":0.000011376477,"threshold_uncertainty_score":0.38317436},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040835157,0.000056309767,0.9580643,0.000119344244,0.000038571285,0.00020286992,5.120359e-7,0.00005951925,0.00062339753],"genre_scores_gemma":[0.98579437,0.0000111896525,0.014075187,0.000014803163,0.0000119816,0.00002800801,1.9285305e-7,0.0000062823174,0.000057994093],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915606,0.000037809656,0.0002073776,0.00013802719,0.00029751216,0.00016322211],"domain_scores_gemma":[0.99912584,0.0004942041,0.000033499226,0.00023942639,0.000059275968,0.000047764854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014354875,0.00006969764,0.00011354566,0.000112446694,0.000023436063,0.00004574475,0.0002627929,0.000033101383,0.0000031258005],"category_scores_gemma":[0.0005921724,0.000047703972,0.000012125329,0.00031900255,0.000056166922,0.00017002234,0.00021275869,0.00023439656,0.000007662569],"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":[0.000019071838,0.00013070198,0.0004084441,0.00032768387,0.000006894869,0.000007303092,0.0012022607,0.0025911306,0.0046584383,0.98182833,0.000077340446,0.008742379],"study_design_scores_gemma":[0.00040482127,0.000980525,0.0036797826,0.0014508212,0.000004405915,0.000033668668,0.0002945385,0.71276104,0.020848453,0.25692672,0.0022799163,0.00033530864],"about_ca_topic_score_codex":0.0000011739465,"about_ca_topic_score_gemma":1.3783958e-7,"teacher_disagreement_score":0.9449592,"about_ca_system_score_codex":0.000042460022,"about_ca_system_score_gemma":0.00001605733,"threshold_uncertainty_score":0.19453116},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7752202,0.00006188235,0.22400135,0.00005783069,0.000041256633,0.00042826877,0.000011495174,0.00006517452,0.00011250262],"genre_scores_gemma":[0.9970962,0.000008180571,0.0027397755,0.00000835918,0.000007945328,0.00010516395,0.0000030311307,0.000024337143,0.0000070503565],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988405,0.000051240524,0.00045040596,0.00020256931,0.00019644714,0.00025884729],"domain_scores_gemma":[0.9988321,0.0008633298,0.000051381234,0.00017907623,0.000024881192,0.000049253733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006693296,0.00019074636,0.00035197503,0.00017104139,0.000045719567,0.000040094066,0.00013814124,0.00007433676,0.00024331993],"category_scores_gemma":[0.00030928053,0.00012219221,0.000026720723,0.00015571808,0.00010374707,0.00035201758,0.000031467946,0.00012591368,0.000005697428],"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":[0.000058577833,0.000055647793,0.000048371003,0.0011199579,0.000012395616,0.000006781439,0.0009387399,0.20434046,0.7870181,0.0060772123,6.1407434e-7,0.00032313334],"study_design_scores_gemma":[0.0018112402,0.00031591742,0.00002356611,0.0010990984,0.000021118927,0.000032367072,0.000040888226,0.9167957,0.07321022,0.0064567304,6.2594495e-7,0.00019255311],"about_ca_topic_score_codex":0.0000053296158,"about_ca_topic_score_gemma":0.000031940413,"teacher_disagreement_score":0.7138079,"about_ca_system_score_codex":0.00005115089,"about_ca_system_score_gemma":0.000035362813,"threshold_uncertainty_score":0.49828538},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13765644,0.00032859514,0.85901284,0.00007397452,0.00022619769,0.0013028581,0.000020928974,0.0008411919,0.00053698855],"genre_scores_gemma":[0.83293545,0.000021525015,0.16542603,0.000024625384,0.00018467761,0.0012661759,0.000038384995,0.00009711202,0.000006039084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831563,0.000028199811,0.00077895686,0.00020377983,0.00023140626,0.0004420128],"domain_scores_gemma":[0.9990146,0.00045579157,0.00007106851,0.00026304464,0.00007079678,0.00012468512],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006484172,0.00029133027,0.0005082284,0.000163934,0.000022732898,0.000040285184,0.00021886095,0.0001587576,0.000020168824],"category_scores_gemma":[0.0006070687,0.00029144206,0.00008908723,0.00035197847,0.000020983043,0.0002063436,0.000057405716,0.000247942,0.0000034539949],"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":[0.0000035339858,0.00005418154,0.00035397755,0.0010536028,0.000024170637,0.0000019550005,0.00026340087,0.9921301,0.0018427663,0.0023605009,0.0010217984,0.0008900103],"study_design_scores_gemma":[0.0006311396,0.00008348491,0.00003037369,0.00043341494,0.000019518837,0.000005347255,0.000011015876,0.984096,0.008959658,0.0050056884,0.00043177852,0.0002926109],"about_ca_topic_score_codex":0.000010743439,"about_ca_topic_score_gemma":0.0000080054815,"teacher_disagreement_score":0.695279,"about_ca_system_score_codex":0.00007766562,"about_ca_system_score_gemma":0.00001189523,"threshold_uncertainty_score":0.99995375},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044083167,0.00042520347,0.9946123,0.00005628127,0.00022509278,0.0014949096,0.000019245403,0.0006128388,0.0021133265],"genre_scores_gemma":[0.96055436,0.0000042769143,0.038082976,0.000012347993,0.00014698517,0.0009885408,0.00000911067,0.00010823848,0.000093154835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856883,0.000012559671,0.00053334853,0.0002123253,0.000237472,0.00043547474],"domain_scores_gemma":[0.99925345,0.00023464598,0.000044806635,0.0002373845,0.0000679429,0.00016174452],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038478363,0.00023881836,0.00045106883,0.00011058265,0.00001548575,0.000029650262,0.00015851099,0.00013703761,0.000004366515],"category_scores_gemma":[0.0004613746,0.0002574226,0.00006343396,0.00018561204,0.000015175428,0.00024302168,0.000020236152,0.0001981957,0.000020675798],"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":[0.000012377688,0.00003692225,0.00002147402,0.0006708473,0.000044868855,0.0000010398346,0.00019379388,0.9939608,0.0009108156,0.0037367304,0.00009060127,0.0003197511],"study_design_scores_gemma":[0.0023224473,0.00007669196,0.0000112968855,0.0003287391,0.000022940327,0.0000048624415,0.000021028378,0.9912774,0.00012616365,0.0047147875,0.0008324466,0.00026119064],"about_ca_topic_score_codex":0.0000022476027,"about_ca_topic_score_gemma":0.00000292376,"teacher_disagreement_score":0.9601135,"about_ca_system_score_codex":0.0003379978,"about_ca_system_score_gemma":0.000013554482,"threshold_uncertainty_score":0.9999878},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01908207,0.00008292293,0.97932756,0.00018892354,0.0002847328,0.0007212837,0.0000013549912,0.00024666276,0.00006450957],"genre_scores_gemma":[0.844982,7.372966e-7,0.1547478,0.000021740885,0.00011926514,0.00007914034,0.0000066438242,0.00002684244,0.00001578634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981413,0.000060010465,0.00050790195,0.0004568922,0.0003112353,0.00052267255],"domain_scores_gemma":[0.9988585,0.00028555113,0.00007003337,0.00045343649,0.00008723869,0.0002452217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008379771,0.0002442233,0.0003348288,0.000073201336,0.000053702537,0.00019957063,0.00048077,0.00010814327,0.000024974901],"category_scores_gemma":[0.00014917344,0.00021194246,0.000057971327,0.00033877988,0.000023778613,0.00060574757,0.00020243038,0.00023663795,0.0000053708363],"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":[0.00001986735,0.00006915668,0.0000642771,0.00017542602,0.000009875389,0.000005959422,0.00053918536,0.9945189,0.00027008547,0.0025465577,0.00008033599,0.001700372],"study_design_scores_gemma":[0.00074731203,0.00014738036,0.000011850339,0.00009354896,0.000008524928,0.000032667955,0.000007500993,0.99158454,0.0002713173,0.0068228217,0.00001753881,0.00025500415],"about_ca_topic_score_codex":0.000013960582,"about_ca_topic_score_gemma":0.000011999673,"teacher_disagreement_score":0.82589996,"about_ca_system_score_codex":0.00014536557,"about_ca_system_score_gemma":0.00004405344,"threshold_uncertainty_score":0.86427623},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011977389,0.00015847695,0.9937468,0.0008937671,0.00051556615,0.0024641503,0.00002192019,0.00026693367,0.00073463714],"genre_scores_gemma":[0.8598722,0.000002353649,0.13748519,0.00015503063,0.00022007436,0.0015503978,0.000024344636,0.00011497616,0.00057543593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99536103,0.00020364166,0.0014574595,0.0006933002,0.001501953,0.0007826297],"domain_scores_gemma":[0.99516237,0.00295082,0.000248281,0.00089836295,0.00042581654,0.00031437533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009082132,0.0004677547,0.0007204069,0.00036244726,0.00014199602,0.00029827526,0.0011862164,0.00025473538,0.00010573108],"category_scores_gemma":[0.008259694,0.00029853894,0.00022941933,0.0012953745,0.00015809912,0.0002506877,0.00015627372,0.00038948064,0.000110644214],"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":[0.000017250733,0.00013861684,0.000037672962,0.0002529854,0.000027640472,0.0000021693797,0.00086003117,0.8469286,0.0006002265,0.14979877,0.0012156209,0.00012041816],"study_design_scores_gemma":[0.0012609508,0.00008885648,0.000028939594,0.0001636686,0.000022225395,0.000009144639,0.000039687508,0.7070112,0.00008155933,0.28927788,0.0017114793,0.0003044163],"about_ca_topic_score_codex":0.000019104158,"about_ca_topic_score_gemma":0.000014482766,"teacher_disagreement_score":0.85867447,"about_ca_system_score_codex":0.00027196406,"about_ca_system_score_gemma":0.00023041113,"threshold_uncertainty_score":0.99994665},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009875996,0.000073479816,0.9922816,0.0000037702957,0.00003222172,0.00044319392,0.0000025975307,0.0011232843,0.005052213],"genre_scores_gemma":[0.9885632,0.00003275995,0.011139052,0.0000017824436,0.000005600267,0.00023680131,0.000007869668,0.000008526248,0.0000044346893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947906,0.0000022409727,0.0002951912,0.00004039707,0.000101123565,0.000081987724],"domain_scores_gemma":[0.9998343,0.000009162807,0.000018002502,0.000083637664,0.000013740259,0.000041152074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015440249,0.00007038824,0.000099392986,0.00017769082,0.0000045409847,0.00001018823,0.0000522869,0.00003224133,9.2686054e-7],"category_scores_gemma":[0.0000029830405,0.00007209957,0.0000124418975,0.00015121927,0.000008091063,0.000152112,0.000007869635,0.00005249139,0.000005178159],"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":[0.0000010853631,0.000022680311,0.000044800538,0.006554498,0.000024359026,5.0609367e-7,0.001174,0.75708574,0.000030564224,0.21677822,0.00028246245,0.018001072],"study_design_scores_gemma":[0.00028097205,0.000017637269,0.00020243257,0.0004381023,0.00002043215,0.0000027522249,0.0008742874,0.9901457,0.0003752513,0.0020172594,0.005481274,0.000143932],"about_ca_topic_score_codex":0.000001317784,"about_ca_topic_score_gemma":6.3004006e-7,"teacher_disagreement_score":0.9875756,"about_ca_system_score_codex":0.00005033223,"about_ca_system_score_gemma":0.0000012229193,"threshold_uncertainty_score":0.2940135},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030302317,0.000034389563,0.9928096,0.00024216593,0.00009533412,0.00053770584,0.000002994389,0.00032645653,0.0029211242],"genre_scores_gemma":[0.53146595,0.0000059563654,0.46825323,0.00005177077,0.00003151422,0.000054407654,0.0000063609973,0.00006838034,0.000062446015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987487,0.00003651165,0.00041377,0.00026327098,0.00023726128,0.00030044484],"domain_scores_gemma":[0.9990642,0.00043017496,0.00004126103,0.00028738438,0.00004275472,0.00013419006],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005923568,0.00026099457,0.00032061964,0.00021299507,0.000025963212,0.000085239895,0.00010986123,0.00015496898,0.0000034375762],"category_scores_gemma":[0.00049258216,0.00025573568,0.000045405333,0.00020271045,0.000019304449,0.0001948933,0.000033819015,0.00032638983,0.000009552884],"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":[0.000022316419,0.000027158801,0.000005765451,0.00069860095,0.000010421557,0.0000085889515,0.0006030793,0.9822329,0.013094042,0.00015111479,0.00025470718,0.0028912562],"study_design_scores_gemma":[0.0013546463,0.000036740486,0.000015788808,0.0004488811,0.000016471568,0.000024124194,0.000052863765,0.99414724,0.0017941736,0.0018286015,0.000018565197,0.00026188776],"about_ca_topic_score_codex":0.0000032626779,"about_ca_topic_score_gemma":0.0000037501509,"teacher_disagreement_score":0.5284357,"about_ca_system_score_codex":0.00018984567,"about_ca_system_score_gemma":0.000018326724,"threshold_uncertainty_score":0.9999895},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020447867,0.000019861674,0.9946752,0.00071814476,0.00014073368,0.00030385464,3.970973e-7,0.00022377261,0.0018732446],"genre_scores_gemma":[0.9168751,0.000006670614,0.08271453,0.00006729302,0.00004503759,0.000113379785,0.0000015526297,0.000022161445,0.00015427165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871206,0.00005531339,0.00031908558,0.00023393158,0.0002996777,0.00037990313],"domain_scores_gemma":[0.99885476,0.00050383044,0.00004850498,0.00043025787,0.000059900427,0.00010275017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093668944,0.00014141305,0.00016903332,0.00009582333,0.00014222963,0.00024719778,0.00048431288,0.000050291816,0.000015701886],"category_scores_gemma":[0.00039362654,0.0000930838,0.000029335219,0.0003721081,0.000031227748,0.00031794736,0.00017883132,0.00028112446,0.000051075636],"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":[0.0000023182956,0.000050420313,0.00009491783,0.00013320489,0.000012876396,0.0000024615965,0.0004140094,0.3057903,0.00011776513,0.69221616,0.000051554867,0.0011140214],"study_design_scores_gemma":[0.0004031401,0.0000977109,0.00014757662,0.00021181615,0.000002458703,0.000013406882,0.0000137181005,0.97756386,0.00007900342,0.019249689,0.00205376,0.00016384816],"about_ca_topic_score_codex":0.0000060377943,"about_ca_topic_score_gemma":0.000011642569,"teacher_disagreement_score":0.9148303,"about_ca_system_score_codex":0.000056100296,"about_ca_system_score_gemma":0.000028477925,"threshold_uncertainty_score":0.37958473},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06941289,0.00014325426,0.9293375,0.0000016644073,0.000030529514,0.0007213917,0.0000019646295,0.00018691446,0.00016387604],"genre_scores_gemma":[0.93703324,0.000005623388,0.06269481,4.956115e-7,0.000021089649,0.0001645478,0.000019671563,0.000051507257,0.000009029276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990976,0.000009912631,0.00032053495,0.00019453022,0.00009145691,0.0002859726],"domain_scores_gemma":[0.99976295,0.00003230123,0.000042768417,0.00009252543,0.0000025744876,0.00006689348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036228224,0.00018212857,0.00022133323,0.00028608725,0.00002409711,0.000055634944,0.000083420266,0.00007986356,8.6533254e-7],"category_scores_gemma":[0.000022179891,0.00019106525,0.000023229166,0.000093507246,0.0000072544453,0.00019906582,0.00004123995,0.00015210696,0.0000018437916],"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":[0.0000050859403,0.00002165882,0.00022941503,0.00071610423,0.000010869172,5.7313633e-7,0.0014343873,0.9971992,0.000022457678,0.00016208488,0.0000033883118,0.00019480141],"study_design_scores_gemma":[0.00066959544,0.000024607347,0.000030425475,0.00017523662,0.000016451535,0.0000037960224,0.00013410313,0.99861395,0.0000058844776,0.00012496786,0.0000023052492,0.00019868741],"about_ca_topic_score_codex":0.0000040727014,"about_ca_topic_score_gemma":4.4050307e-7,"teacher_disagreement_score":0.86762035,"about_ca_system_score_codex":0.0003477681,"about_ca_system_score_gemma":0.0000036246997,"threshold_uncertainty_score":0.7791415},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06926976,0.00018157253,0.9284221,0.00009941915,0.00014183937,0.0013100625,8.2856974e-7,0.00040210242,0.00017231572],"genre_scores_gemma":[0.58686596,0.000006881057,0.41166055,0.000023202574,0.000092950504,0.0012257883,0.0000055516225,0.000082193386,0.000036890742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988382,0.000013328059,0.0003735862,0.00019556603,0.00016449415,0.0004148681],"domain_scores_gemma":[0.9993473,0.0002699717,0.000035511854,0.00021942033,0.000051442777,0.00007629552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026990872,0.00024360162,0.00025093215,0.00011439254,0.00006238797,0.00016273839,0.00016885897,0.00009915593,0.000016450245],"category_scores_gemma":[0.00011349497,0.00017158977,0.000048867107,0.00027533257,0.00002402776,0.00021647746,0.00002144009,0.00022952452,0.000023604462],"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":[9.5050586e-7,0.000016487558,0.000032547192,0.0010476385,0.000021970547,5.6197933e-7,0.00048853626,0.9925029,0.004004003,0.00077589456,0.000010735641,0.0010977368],"study_design_scores_gemma":[0.0004775867,0.000043109456,0.0000583507,0.00048288988,0.000014870611,0.000010748382,0.000046864443,0.995749,0.0013596342,0.0014698756,0.000032936852,0.0002541086],"about_ca_topic_score_codex":0.0000035098374,"about_ca_topic_score_gemma":0.0000025948227,"teacher_disagreement_score":0.51759624,"about_ca_system_score_codex":0.0000650618,"about_ca_system_score_gemma":0.0000090992135,"threshold_uncertainty_score":0.69972277},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17036827,0.0014832084,0.82628536,0.000014186287,0.00038245847,0.0006821915,0.00008001899,0.0005285479,0.00017574358],"genre_scores_gemma":[0.9609648,0.000033085274,0.03851576,0.0000022809368,0.00007379372,0.0001516186,0.000060535727,0.0001280693,0.00007002734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976477,0.000010974055,0.0009795438,0.00021822679,0.0003046209,0.0008389168],"domain_scores_gemma":[0.99875134,0.0005094503,0.00006983474,0.0004422823,0.00004905151,0.0001780275],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00092765904,0.00040412674,0.0009795887,0.0008485614,0.000019832096,0.000035959503,0.00026673905,0.00018995973,0.00017556784],"category_scores_gemma":[0.0002697187,0.00042602414,0.00016804412,0.0016776971,0.000026803738,0.00025984496,0.00006456591,0.00012930945,0.000016936412],"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":[0.0000026020261,0.000069196976,0.000153791,0.0025320495,0.00047047625,8.74645e-7,0.00051364925,0.9527179,0.04084392,0.0024724628,0.000067946145,0.00015513705],"study_design_scores_gemma":[0.00043019693,0.00004439147,0.0004081368,0.00029825183,0.00038017004,0.0000033820183,0.000033078017,0.9212282,0.07493409,0.0002728777,0.0014000159,0.00056726014],"about_ca_topic_score_codex":0.0000044194817,"about_ca_topic_score_gemma":0.0000013733298,"teacher_disagreement_score":0.79059654,"about_ca_system_score_codex":0.0001395548,"about_ca_system_score_gemma":0.0000072099815,"threshold_uncertainty_score":0.99981916},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0102456,0.00025934412,0.9865976,0.00014580756,0.00009868871,0.00047217426,0.000022782344,0.000109626715,0.0020483653],"genre_scores_gemma":[0.98408765,0.000011274674,0.0128597915,0.000022369157,0.00007977306,0.0003591026,0.000009685434,0.000052215015,0.0025181188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988226,0.000009249368,0.0004397789,0.00018109864,0.00013699602,0.00041024075],"domain_scores_gemma":[0.9985238,0.0011336149,0.000040376486,0.00024583793,0.000025890033,0.000030510626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041699203,0.00018431772,0.00030164965,0.00008816757,0.0000648818,0.000007661875,0.00019308565,0.00011877682,0.00010509222],"category_scores_gemma":[0.0002776413,0.00014088934,0.00011220941,0.00013648081,0.000049148945,0.00003997881,0.000081748956,0.00023926819,0.000032461325],"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":[0.0000042711313,0.000088388246,0.0000047605995,0.00032717185,0.00003758723,8.9620744e-7,0.000102857004,0.74268305,0.09620969,0.16029488,0.00022858634,0.000017888024],"study_design_scores_gemma":[0.0004099484,0.000027163549,0.000012979852,0.00015006268,0.000023085855,0.0000051399566,0.0000121736375,0.9757234,0.00151717,0.021912253,0.000063413885,0.00014321294],"about_ca_topic_score_codex":0.0000068902004,"about_ca_topic_score_gemma":0.000018442326,"teacher_disagreement_score":0.9738421,"about_ca_system_score_codex":0.0000664478,"about_ca_system_score_gemma":0.0000075100047,"threshold_uncertainty_score":0.5745301},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7897953,0.000109473534,0.20262006,0.0002401943,0.000020800424,0.00021443325,2.4125544e-7,0.000027750715,0.0069717728],"genre_scores_gemma":[0.995718,0.000013856495,0.0041738134,0.000013574456,0.0000046223995,0.00001716374,5.8268615e-8,0.000005477508,0.000053433105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952096,0.000007632699,0.00016333103,0.000091964925,0.00007635098,0.00013974287],"domain_scores_gemma":[0.9998308,0.00006127816,0.0000137176985,0.000078563484,0.0000011671527,0.000014480975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024396084,0.00006377835,0.00010169147,0.000019224359,0.000033105694,0.000004130714,0.000074477066,0.000021602282,0.00010581239],"category_scores_gemma":[0.00006192584,0.000042602438,0.000015064539,0.00006999088,0.00005537782,0.000056110646,0.000159311,0.00007884995,0.000017008982],"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":[3.334544e-7,0.00001553895,0.0008687293,0.00009378121,0.000005907708,9.652933e-7,0.0017943402,0.99607265,0.0002051111,0.00050465827,0.000009084871,0.00042888563],"study_design_scores_gemma":[0.000084265324,0.0000077207205,0.00014330856,0.000043062442,0.0000047927783,0.0000023709983,0.000024879782,0.99415547,0.000010466283,0.005450434,0.000023997436,0.000049218335],"about_ca_topic_score_codex":0.000012941886,"about_ca_topic_score_gemma":0.0000072432226,"teacher_disagreement_score":0.20592272,"about_ca_system_score_codex":0.0000114815675,"about_ca_system_score_gemma":1.1011133e-7,"threshold_uncertainty_score":0.1737277},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049756985,0.0000814182,0.94946504,0.0000323779,0.000044620225,0.000080056234,3.4867867e-7,0.00004087633,0.000498296],"genre_scores_gemma":[0.9582013,0.0000010210347,0.041726958,0.000006023927,0.00002984499,0.0000073789947,4.09186e-7,0.000010166043,0.00001688894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990479,0.000014406342,0.00038415243,0.00012229366,0.00016878056,0.00026246312],"domain_scores_gemma":[0.9995272,0.00007278799,0.00008707505,0.00023322857,0.000023464057,0.000056227862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005108009,0.00009601969,0.00019997422,0.000101200174,0.000015496722,0.000032046708,0.00023947698,0.000046194564,0.00004187794],"category_scores_gemma":[0.00006672081,0.00008522688,0.000053046002,0.00030568568,0.000012183849,0.0003949733,0.00009886028,0.0000907215,0.00000933786],"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":[0.0000011337335,0.00048078515,0.015268778,0.001770868,0.000085198146,0.0000026930163,0.005786371,0.7430436,0.11315527,0.088750176,0.00003885929,0.031616293],"study_design_scores_gemma":[0.00005634429,0.0000072979446,0.0010901708,0.00015899507,0.0000055393057,0.000005022779,0.000017591774,0.99590194,0.0011091648,0.0015147225,0.000032509906,0.0001006722],"about_ca_topic_score_codex":0.0000068653894,"about_ca_topic_score_gemma":3.591209e-7,"teacher_disagreement_score":0.90844434,"about_ca_system_score_codex":0.000032462565,"about_ca_system_score_gemma":0.000005202647,"threshold_uncertainty_score":0.34754512},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29851583,0.00033850872,0.699757,0.000009497856,0.00010502457,0.00081152236,0.000017652555,0.00024001149,0.00020497842],"genre_scores_gemma":[0.9990634,0.00000827513,0.0005368221,0.000003975949,0.00002653586,0.00026890863,0.000006240633,0.00008401612,0.000001864852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791974,0.000022019582,0.0008539342,0.0002824995,0.00042687738,0.00049493334],"domain_scores_gemma":[0.9991628,0.00018910307,0.00009477341,0.00032316387,0.000108812405,0.000121343575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046660306,0.00033875284,0.0006208625,0.00017606853,0.000024189507,0.000047972433,0.00019035299,0.00007787082,0.000003216964],"category_scores_gemma":[0.000113784,0.00029604923,0.00005517737,0.00042544925,0.000080866084,0.00023078894,0.000020903275,0.00025128067,0.000008334796],"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":[0.000018161245,0.00008352189,0.0000216548,0.004774593,0.00004541307,0.000007411565,0.0008705723,0.9746632,0.01686662,0.0025426135,0.0000017458265,0.000104501785],"study_design_scores_gemma":[0.0019103112,0.00016242395,0.000010362313,0.003568818,0.000032373922,0.00006218571,0.00032254655,0.96476847,0.020507239,0.008103947,0.000004354422,0.0005469582],"about_ca_topic_score_codex":0.000008558626,"about_ca_topic_score_gemma":0.00001437917,"teacher_disagreement_score":0.7005475,"about_ca_system_score_codex":0.00023496176,"about_ca_system_score_gemma":0.000057468886,"threshold_uncertainty_score":0.99994916},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30874532,0.0000032972926,0.69039357,0.000008551654,0.000029863188,0.00011510977,0.0000021978835,0.00002344528,0.0006786724],"genre_scores_gemma":[0.96422315,4.114909e-7,0.03564416,0.00000502316,0.000058327198,0.000026612026,0.0000065777754,0.000015910362,0.00001981732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903995,0.000022164539,0.00028998105,0.00024287413,0.000122068086,0.00028297113],"domain_scores_gemma":[0.9995693,0.000115599905,0.00003500998,0.0001950827,0.000014517399,0.00007046594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029127748,0.000159263,0.00031648853,0.0002120604,0.000021794556,0.00003660509,0.00007801188,0.00006649032,0.00011156827],"category_scores_gemma":[0.000014658051,0.00014781166,0.00009398909,0.0005906388,0.000019525369,0.00010937372,0.000049642582,0.0005221654,0.00000226941],"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":[9.983962e-7,0.00011356511,0.00071876706,0.000052035677,0.000026789086,0.0000010807821,0.00022038234,0.9877925,0.0021902216,0.007944878,5.409533e-7,0.0009382626],"study_design_scores_gemma":[0.0001326984,0.0000023826638,0.00011407485,0.000040759154,0.000024793108,0.0000016237649,0.000017438066,0.98808044,0.00007552848,0.0113538075,9.1940825e-7,0.00015551668],"about_ca_topic_score_codex":0.000034692268,"about_ca_topic_score_gemma":0.0000066625976,"teacher_disagreement_score":0.6554778,"about_ca_system_score_codex":0.000016403128,"about_ca_system_score_gemma":0.000009479579,"threshold_uncertainty_score":0.60275847},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0353111,0.0001423088,0.9635736,0.00016228168,0.0000879976,0.00031379182,0.000007600539,0.000118200056,0.0002831533],"genre_scores_gemma":[0.66796434,0.000012021904,0.33162215,0.000009689621,0.00008112388,0.00020752529,0.000014140799,0.000025870953,0.000063140185],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891293,0.000008687383,0.00033628408,0.0003543165,0.000098018274,0.00028975992],"domain_scores_gemma":[0.99903864,0.00026336394,0.00002649953,0.00059275044,0.000008766866,0.00006995359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042156407,0.00013710518,0.00019414454,0.00017152987,0.000017004833,0.0002634715,0.00075728627,0.00006925156,0.0000047159842],"category_scores_gemma":[0.00024027683,0.00013088457,0.000010885813,0.0004250536,0.000013527435,0.0012435516,0.0008394716,0.00020133286,0.000015428526],"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":[0.0000021507062,0.0013530962,0.003856168,0.002830649,0.00009538277,0.000047246365,0.011116885,0.12431673,0.009910386,0.30062506,0.0035293582,0.5423169],"study_design_scores_gemma":[0.00022126097,0.000008381857,0.0003397172,0.00035482386,0.0000014694149,0.000008915792,0.000021725991,0.9975625,0.0000313124,0.00091977016,0.00037186642,0.00015820996],"about_ca_topic_score_codex":0.000020926498,"about_ca_topic_score_gemma":0.000006091226,"teacher_disagreement_score":0.87324584,"about_ca_system_score_codex":0.000032662494,"about_ca_system_score_gemma":0.000019734376,"threshold_uncertainty_score":0.53373176},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018438617,0.000053617725,0.9957569,0.000008758457,0.00009458719,0.0011314168,0.0000012421947,0.00038996624,0.0007196441],"genre_scores_gemma":[0.7313285,0.0000021902504,0.26810196,0.000007693489,0.000052708518,0.0002891092,0.00010164373,0.000059684116,0.00005653985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989204,0.000019230565,0.00036303388,0.00014149644,0.00015937148,0.0003965002],"domain_scores_gemma":[0.9995297,0.0001939402,0.000036492216,0.0001418721,0.000027136792,0.0000708416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044694135,0.00019779288,0.00019889876,0.00023174907,0.000038502145,0.000043787535,0.00009373917,0.00010975172,0.000026007396],"category_scores_gemma":[0.00009393452,0.00019373157,0.000044700082,0.000242228,0.000010656105,0.000320036,0.00002413822,0.00008385017,0.0000069679118],"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":[0.0000074551785,0.00006827742,0.00008786113,0.00081714644,0.000017042474,1.265579e-7,0.00051692134,0.99793625,0.0002347885,0.0002103865,0.000023269205,0.00008049902],"study_design_scores_gemma":[0.0006658917,0.000020844782,0.000017612345,0.000060231225,0.00002405467,3.900855e-7,0.000011863111,0.99826324,0.00052974414,0.00011139578,0.000061344006,0.00023338769],"about_ca_topic_score_codex":5.3543465e-7,"about_ca_topic_score_gemma":1.778969e-7,"teacher_disagreement_score":0.7294846,"about_ca_system_score_codex":0.00023777393,"about_ca_system_score_gemma":0.000002193531,"threshold_uncertainty_score":0.7900144},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005845254,0.0006642661,0.9949875,0.0000025014792,0.00031619146,0.001988239,0.000008313814,0.00088128785,0.00056719576],"genre_scores_gemma":[0.7318065,0.0000026083683,0.26726428,0.000004192657,0.000086061045,0.00069442845,0.0000021331364,0.0001220408,0.00001773813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804217,0.000040102335,0.00078189786,0.00029115396,0.00020838264,0.0006362992],"domain_scores_gemma":[0.99917895,0.00029780346,0.00005967587,0.0002725795,0.000056203513,0.00013479458],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054268126,0.0003622718,0.00061781314,0.000244534,0.00004604269,0.000020763639,0.0002462822,0.00019148886,0.00001746274],"category_scores_gemma":[0.000114139584,0.00036546143,0.00011480179,0.00025387696,0.000024473222,0.00026839343,0.00003273094,0.00024667365,0.000026594953],"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":[0.000013780585,0.000037213416,0.000012263918,0.0018391404,0.00008797123,0.000012067913,0.0003403544,0.9844194,0.0074349293,0.005504796,0.000043977638,0.00025412464],"study_design_scores_gemma":[0.0012370883,0.000042428146,0.0000155273,0.0007308483,0.000034705572,0.00006578984,0.00006991953,0.99205494,0.0004972804,0.0048172227,0.000038525777,0.00039573663],"about_ca_topic_score_codex":0.000011474398,"about_ca_topic_score_gemma":5.689362e-7,"teacher_disagreement_score":0.731222,"about_ca_system_score_codex":0.0004612322,"about_ca_system_score_gemma":0.000017779843,"threshold_uncertainty_score":0.9998797},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012819041,0.000018694975,0.98635244,0.00012970858,0.00009455686,0.00041450027,0.0000022680767,0.00004092968,0.00012786617],"genre_scores_gemma":[0.92183053,0.0000013307775,0.078032225,0.000022453796,0.000025621146,0.000059155464,0.0000028335567,0.000009346965,0.000016526534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990792,0.000010723172,0.00039895336,0.00014739683,0.00017171148,0.00019198917],"domain_scores_gemma":[0.9994143,0.00019589094,0.000083713385,0.00022203257,0.000044743163,0.000039315044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006565475,0.000099444456,0.00020050551,0.000096469215,0.000016145903,0.000035481986,0.00022606106,0.00004533741,0.0000030719382],"category_scores_gemma":[0.0001094948,0.000090391775,0.000045568133,0.0001180738,0.000008747469,0.0001409535,0.000042351036,0.00006488752,0.000008057358],"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":[0.000006385951,0.00021729612,0.0003381162,0.0030298843,0.00003347167,2.8472866e-7,0.0016220799,0.40904868,0.011806903,0.5599679,0.000014118146,0.013914908],"study_design_scores_gemma":[0.00046848506,0.00006117676,0.00011778559,0.00018007832,0.000003155493,0.000001076886,0.0000019166384,0.97353685,0.00051779865,0.024809983,0.0002062713,0.00009545058],"about_ca_topic_score_codex":0.0000018254336,"about_ca_topic_score_gemma":0.0000010425518,"teacher_disagreement_score":0.9090115,"about_ca_system_score_codex":0.000039019164,"about_ca_system_score_gemma":0.0000074486616,"threshold_uncertainty_score":0.36860695},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02868315,0.000047095516,0.9674182,0.00007254292,0.00002873957,0.0005659369,0.0000020479767,0.00013952181,0.0030427482],"genre_scores_gemma":[0.92353684,0.000003956325,0.076102875,0.000009844328,0.000055561235,0.00014438767,0.000003074522,0.00004057911,0.000102885904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988762,0.000024150848,0.0004403565,0.00023995471,0.00018660874,0.00023268796],"domain_scores_gemma":[0.9992103,0.00032511467,0.00006587333,0.0002921077,0.000026776475,0.00007985671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061456696,0.00016221947,0.00027257536,0.00008929693,0.000030110288,0.00004249902,0.00010616703,0.00009954387,0.0000049814657],"category_scores_gemma":[0.00045598004,0.00014381681,0.000029300401,0.00012800402,0.000021127908,0.00009458849,0.000060456034,0.00013844795,0.0000064459764],"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":[7.770019e-7,0.000044780365,0.000035655015,0.0012474061,0.000004137181,1.8210503e-7,0.00031413444,0.64826334,0.0002606419,0.34956747,0.00003053017,0.00023094077],"study_design_scores_gemma":[0.00015137522,0.000010679796,0.000018520966,0.00015580209,0.000007582957,0.000004125496,0.0000067831693,0.6332682,0.000017946611,0.3662388,0.000019021056,0.000101186866],"about_ca_topic_score_codex":0.00000834232,"about_ca_topic_score_gemma":0.0000029535245,"teacher_disagreement_score":0.8948537,"about_ca_system_score_codex":0.000046646997,"about_ca_system_score_gemma":0.000007137061,"threshold_uncertainty_score":0.5864679},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01912847,0.000103187434,0.9718696,0.00000657243,0.00014579542,0.00019553953,0.0000017271898,0.00035118923,0.008197916],"genre_scores_gemma":[0.99020207,0.0000050286126,0.009590985,0.000017082735,0.000031883483,0.00005653488,0.0000027701287,0.000043608674,0.00005001468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990612,0.000020070134,0.00031779453,0.0001487981,0.00013938225,0.00031270555],"domain_scores_gemma":[0.9993524,0.00041052175,0.000007930255,0.0001397609,0.000014521264,0.00007486498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044614344,0.00017863624,0.00018256239,0.00012315999,0.00003517973,0.0000105398285,0.000067632966,0.000111731584,0.00060434866],"category_scores_gemma":[0.000105857405,0.00017040528,0.00005392508,0.00015869642,0.000017049806,0.0001465251,0.000012952911,0.00048608772,0.000051811185],"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":[0.000029302337,0.00018823332,0.00032352546,0.0012160421,0.00012190693,0.000031463773,0.0057149595,0.72140896,0.02628854,0.2419595,0.00016604808,0.0025515002],"study_design_scores_gemma":[0.0003450683,0.000030840776,0.00041086454,0.00030200728,0.000030602838,0.00002586624,0.00011196068,0.9543064,0.0043362225,0.039730687,0.000077886616,0.0002915526],"about_ca_topic_score_codex":0.0000023092357,"about_ca_topic_score_gemma":9.887734e-7,"teacher_disagreement_score":0.9710736,"about_ca_system_score_codex":0.00005102276,"about_ca_system_score_gemma":0.000007239982,"threshold_uncertainty_score":0.6948926},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3619632,0.000018823557,0.6303202,0.000823611,0.00014133893,0.0007117719,0.0000120026225,0.00017887162,0.005830168],"genre_scores_gemma":[0.95148546,0.0000025460404,0.048276223,0.00009590057,0.00003296672,0.00001117774,0.000017210465,0.0000069097255,0.00007158702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908614,0.000011577727,0.00027153353,0.00015643048,0.0001442455,0.0003300549],"domain_scores_gemma":[0.9994809,0.00014728954,0.000021235832,0.00015495041,0.00002074542,0.00017488953],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014432496,0.00012148915,0.00017102792,0.00009614804,0.000041486328,0.00005968909,0.00013525528,0.00005400904,0.0018633716],"category_scores_gemma":[0.00019975583,0.00009928779,0.000030967683,0.00025394576,0.000015459533,0.00021675721,0.000017949213,0.00015414617,0.0010243347],"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":[8.8896155e-7,0.000020072683,0.0055468897,0.00014991748,0.000008543436,0.000009161949,0.00079971884,0.9904092,0.00022136365,0.00059376535,0.00010881295,0.002131667],"study_design_scores_gemma":[0.00009000926,0.00003481133,0.018563159,0.00014326007,0.0000036781537,0.000027207918,0.000060745933,0.9760259,0.000015350313,0.0048352843,0.000052441872,0.00014815615],"about_ca_topic_score_codex":0.00020436505,"about_ca_topic_score_gemma":0.000073703945,"teacher_disagreement_score":0.58952224,"about_ca_system_score_codex":0.00001076525,"about_ca_system_score_gemma":0.000013261703,"threshold_uncertainty_score":0.9997535},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045876675,0.00024071087,0.9919988,0.00019954663,0.00023608803,0.0012159128,0.0000070011565,0.00061257696,0.00090169936],"genre_scores_gemma":[0.62269753,0.0000034811019,0.37611264,0.000021400796,0.0001969074,0.0007593109,0.0000044819594,0.000116002026,0.00008824204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808216,0.000014383077,0.0005528499,0.00027579002,0.00028680262,0.00078801485],"domain_scores_gemma":[0.99901134,0.00045014816,0.000033345008,0.0003544469,0.000049111302,0.000101585676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058914884,0.0003640217,0.0004182207,0.00021130644,0.00011209833,0.00016906961,0.00030678973,0.00010517487,0.000013197011],"category_scores_gemma":[0.00021411407,0.00027346317,0.00007928756,0.0008016111,0.00004798564,0.00015108362,0.00004681372,0.00039628963,0.00002750587],"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":[0.000008783168,0.00003577232,0.000023445162,0.00052121864,0.000025747691,0.0000024393892,0.0002191854,0.98151034,0.0021275717,0.012231193,0.0003147896,0.0029795244],"study_design_scores_gemma":[0.0005421928,0.00008233186,0.000060754395,0.00019740932,0.00002258083,0.000016072292,0.000011148722,0.9776191,0.0007756189,0.011270446,0.008987929,0.00041443045],"about_ca_topic_score_codex":0.000022897133,"about_ca_topic_score_gemma":0.00003714803,"teacher_disagreement_score":0.6181099,"about_ca_system_score_codex":0.00024304922,"about_ca_system_score_gemma":0.000020962849,"threshold_uncertainty_score":0.99997175},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036333802,0.000027761633,0.99479955,0.00006331368,0.00014455734,0.0004667535,0.000004664088,0.00042609917,0.00043391265],"genre_scores_gemma":[0.90460306,0.0000014569092,0.09499552,0.000044427532,0.000059474987,0.00015072465,0.000018782139,0.00009599198,0.000030564348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987479,0.000010727792,0.0004421072,0.00021764539,0.00015694302,0.0004246804],"domain_scores_gemma":[0.99939907,0.00016283133,0.000024636895,0.0002735482,0.000043084357,0.00009682375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002519076,0.00025041756,0.00031234592,0.00017537708,0.000029055742,0.00004702032,0.0001513269,0.00012541875,0.0000126539535],"category_scores_gemma":[0.00020688446,0.0002458913,0.000092430004,0.00017574846,0.000016281638,0.000092033755,0.000017638049,0.00016016931,0.0000087871795],"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":[0.0000023330256,0.000039879975,0.000007986755,0.0010355961,0.000007530264,5.959125e-7,0.00007046805,0.98507595,0.006283879,0.006649752,0.00006782927,0.00075822487],"study_design_scores_gemma":[0.0005966599,0.00003498655,0.000017316726,0.00018422343,0.000012432368,0.0000014020407,0.000002449386,0.9914455,0.0016579576,0.005679709,0.000071964954,0.0002954263],"about_ca_topic_score_codex":8.646982e-7,"about_ca_topic_score_gemma":0.0000021120195,"teacher_disagreement_score":0.9009697,"about_ca_system_score_codex":0.00006365701,"about_ca_system_score_gemma":0.00000678526,"threshold_uncertainty_score":0.99999934},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039092866,0.00014067275,0.99343973,0.00006148853,0.00026424,0.000549407,0.0000024948429,0.00041192575,0.001220747],"genre_scores_gemma":[0.7889751,0.0000022767633,0.21027151,0.00002758846,0.0002597389,0.00016173942,0.0000072967173,0.000065751214,0.00022897137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883664,0.000017237808,0.00042986154,0.00013862608,0.00013495724,0.0004426772],"domain_scores_gemma":[0.99943656,0.00020469377,0.000020276013,0.00016458744,0.000018377972,0.00015549791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005312172,0.00020533448,0.0002942479,0.00013052646,0.00003169371,0.00006753184,0.00009363594,0.00012526668,0.00015403148],"category_scores_gemma":[0.00007066995,0.00019048987,0.00006319261,0.00016520153,0.0000043726236,0.00032090826,0.000019476789,0.00015539164,0.00010729092],"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":[0.0000014452919,0.00003074271,0.00004694268,0.0005189723,0.000030300786,3.313213e-7,0.0009466659,0.9562492,0.028224312,0.01155716,0.0003564078,0.0020375622],"study_design_scores_gemma":[0.00038487357,0.000013903909,0.000064868174,0.00014382154,0.000012756019,0.000022741397,0.000012335851,0.9949553,0.0020322066,0.0012608218,0.00083988364,0.00025651287],"about_ca_topic_score_codex":0.0000075581765,"about_ca_topic_score_gemma":0.0000017977168,"teacher_disagreement_score":0.7850658,"about_ca_system_score_codex":0.0001175227,"about_ca_system_score_gemma":0.000011415125,"threshold_uncertainty_score":0.77679515},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13799328,0.0015045016,0.8572768,0.000010848266,0.0002736905,0.0018184382,0.0000035046344,0.00041347358,0.0007054953],"genre_scores_gemma":[0.991178,0.00002765155,0.007196141,0.0000015564601,0.00010088135,0.001402044,0.000005988428,0.00007447202,0.000013301007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984244,0.000035373632,0.00036309962,0.00018873866,0.00019712561,0.00079123536],"domain_scores_gemma":[0.9993184,0.00035856577,0.00001862725,0.00017177011,0.000016746964,0.000115894414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015835544,0.00021330005,0.000292884,0.00030741913,0.0000854015,0.00007651494,0.000112076974,0.00009520941,0.0000054797047],"category_scores_gemma":[0.00007644634,0.00021366755,0.000043712782,0.00024386769,0.000021637446,0.0002626056,0.00006671118,0.00019463565,0.000009792452],"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":[0.0000017431395,0.000039891223,0.00040717123,0.007828696,0.000058992722,9.5021886e-7,0.00091123686,0.98262125,0.0020014478,0.0053126384,0.000028575629,0.0007874174],"study_design_scores_gemma":[0.00049484725,0.000023126413,0.00097031094,0.0014047184,0.000020334957,0.000017749395,0.000077898105,0.9951276,0.00030289424,0.00033143605,0.00094635785,0.00028273504],"about_ca_topic_score_codex":0.0000021081219,"about_ca_topic_score_gemma":0.0000013472852,"teacher_disagreement_score":0.8531847,"about_ca_system_score_codex":0.00022037257,"about_ca_system_score_gemma":0.0000031283819,"threshold_uncertainty_score":0.871311},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7779377,0.0016619337,0.20645507,0.00007206934,0.00013162472,0.0027264464,0.00005394348,0.0017399358,0.009221271],"genre_scores_gemma":[0.9978304,0.0000026076473,0.0016581203,0.0000027170045,0.00007273836,0.00023901754,0.000011884185,0.000090997404,0.00009151124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974798,0.00007447127,0.00090501126,0.0004860136,0.000385094,0.0006695862],"domain_scores_gemma":[0.99849087,0.00068043225,0.000056979472,0.0005624417,0.00005604642,0.00015321597],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011205793,0.00045732284,0.0008255142,0.00012741085,0.0000561986,0.00014191223,0.00021000893,0.00018941385,0.00014719754],"category_scores_gemma":[0.0001238383,0.0003885964,0.00007596164,0.00033359692,0.00011410053,0.00031937167,0.00006397046,0.00035882305,0.00009635206],"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":[0.000018670367,0.00011321281,0.0010467938,0.00357626,0.000051136663,0.000010534807,0.0004078873,0.9787122,0.015089309,0.0008466337,0.000028870381,0.00009846251],"study_design_scores_gemma":[0.00065612025,0.000065953645,0.00020129309,0.00054876314,0.000027147258,0.000041756328,0.000034121174,0.99582565,0.0002639801,0.0017294775,0.00010079936,0.00050493056],"about_ca_topic_score_codex":0.00007382542,"about_ca_topic_score_gemma":0.000008135978,"teacher_disagreement_score":0.2198927,"about_ca_system_score_codex":0.0002965588,"about_ca_system_score_gemma":0.000020622974,"threshold_uncertainty_score":0.9998566},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13796091,0.00037946922,0.8596122,0.000019345338,0.0002964004,0.0006627798,0.000017284108,0.00050811423,0.00054347323],"genre_scores_gemma":[0.84301287,0.000034070792,0.15641068,0.000003992688,0.00005045967,0.00023781309,0.000003293379,0.00014874007,0.000098096774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973751,0.000021629834,0.0010010645,0.0003559107,0.0002866202,0.00095971255],"domain_scores_gemma":[0.99838364,0.0008287109,0.00008150656,0.00047616905,0.000049540962,0.00018040984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037873603,0.000468468,0.0007740857,0.00028045487,0.0000844212,0.000017878616,0.00038623344,0.0001628147,0.00005019936],"category_scores_gemma":[0.00045230225,0.00046705603,0.00020105079,0.00043706916,0.00008684274,0.00021959383,0.00021177127,0.0004798507,0.000013472009],"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":[0.000008463349,0.0000608535,0.000043147567,0.0015575957,0.000068386165,0.000004837765,0.0010927109,0.93299747,0.06134833,0.0025249415,0.000047084526,0.0002462084],"study_design_scores_gemma":[0.000860697,0.000061863204,0.00004790294,0.00071355345,0.000033473887,0.000041370895,0.000037739075,0.9768905,0.015936496,0.004756223,0.00015095573,0.00046924426],"about_ca_topic_score_codex":0.0000056564713,"about_ca_topic_score_gemma":0.000006114902,"teacher_disagreement_score":0.70505196,"about_ca_system_score_codex":0.00042941247,"about_ca_system_score_gemma":0.00001676329,"threshold_uncertainty_score":0.9997781},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06757566,0.00009074126,0.93083394,0.000040553565,0.0003831003,0.00035285152,0.000030705774,0.00056071114,0.00013172373],"genre_scores_gemma":[0.81627274,0.000006310993,0.18351367,0.00000534684,0.000094367395,0.000034719826,0.000018932216,0.000053196276,7.2149453e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980989,0.000039010705,0.000766639,0.00026674228,0.00033556932,0.0004931344],"domain_scores_gemma":[0.99865806,0.0004040214,0.00006575645,0.00070285524,0.000021844218,0.00014748474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006920525,0.00024303782,0.0004854215,0.0001698054,0.000025523743,0.000023870922,0.00048386963,0.00009103034,0.000022581658],"category_scores_gemma":[0.00014746335,0.00023462628,0.000026304157,0.0001916044,0.000029501804,0.00013265885,0.00012282866,0.0004226266,0.0000019615716],"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":[0.0000016525989,0.00003742877,0.021045525,0.014299324,0.000030706346,0.0000034610366,0.0002564823,0.8934922,0.00090983877,0.0057090516,0.00009114663,0.06412318],"study_design_scores_gemma":[0.00021164879,0.000051763043,0.034174606,0.0008756996,0.000004307254,0.000003672525,0.000006818227,0.96165127,0.00044553104,0.0023351328,0.000036703612,0.00020283158],"about_ca_topic_score_codex":0.000030443221,"about_ca_topic_score_gemma":0.0000020524474,"teacher_disagreement_score":0.74869704,"about_ca_system_score_codex":0.00023102359,"about_ca_system_score_gemma":0.000028891778,"threshold_uncertainty_score":0.95677817},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8221416,0.0010797464,0.065639764,0.0003289184,0.0015830108,0.0001745687,0.00017684593,0.0010709659,0.107804626],"genre_scores_gemma":[0.98255867,0.0002291369,0.011649182,0.0006315679,0.0018242312,0.001193451,0.0006892418,0.0010949036,0.00012960061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98697877,0.00032805518,0.0034371426,0.0025152164,0.0033951069,0.003345731],"domain_scores_gemma":[0.9909997,0.0020995196,0.0029229808,0.0026888682,0.00040671276,0.0008822234],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.005520332,0.0014595744,0.00093982357,0.001782537,0.001585207,0.0018745428,0.0029344372,0.0023639398,0.021697454],"category_scores_gemma":[0.0028932,0.0024571563,0.0022317802,0.003676467,0.0012987626,0.0031646658,0.0024168286,0.0024636092,0.0013087092],"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":[0.0008044813,0.0005583814,0.00004354924,0.005719822,0.0037939858,0.0011811069,0.0018051576,0.06747803,0.004047461,0.90438753,0.008678274,0.0015022408],"study_design_scores_gemma":[0.0025910663,0.00088091876,0.00006145575,0.0047792885,0.005509122,0.0009843847,0.0036040137,0.47999078,0.48965585,0.006821508,0.0016951804,0.0034264228],"about_ca_topic_score_codex":0.0016318422,"about_ca_topic_score_gemma":0.0014894204,"teacher_disagreement_score":0.897566,"about_ca_system_score_codex":0.00007087001,"about_ca_system_score_gemma":0.00058686174,"threshold_uncertainty_score":0.99983776},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024496218,0.00024761693,0.97278565,0.000027008893,0.00023284841,0.0009848282,0.0000034345605,0.00058622437,0.0006361714],"genre_scores_gemma":[0.81304353,0.0000075264797,0.1858768,0.000007148479,0.00017403065,0.00073097367,0.0000045736847,0.00008097993,0.00007439914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832046,0.0000060151137,0.00046993914,0.00018541685,0.00016446701,0.0008536734],"domain_scores_gemma":[0.9994966,0.000084209976,0.00003964592,0.00021633109,0.000036209796,0.00012704606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000471113,0.00027496388,0.00030855945,0.00013954953,0.000043184,0.000048692535,0.00018420478,0.00012753112,0.0000040641776],"category_scores_gemma":[0.000077355005,0.0002526879,0.00007384077,0.00018467971,0.000023694147,0.00029719863,0.00003929029,0.00026400038,0.000008233248],"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":[0.0000033755948,0.00003911078,0.000103468796,0.0019725505,0.00001876512,4.6188836e-7,0.0025290742,0.9800494,0.0050866804,0.0077723344,0.00011444939,0.00231036],"study_design_scores_gemma":[0.0003824021,0.000014627319,0.000041201714,0.0005916764,0.0000127860385,0.000009414341,0.000057105346,0.99153274,0.0010762147,0.004160005,0.0017993681,0.00032243223],"about_ca_topic_score_codex":0.0000015437306,"about_ca_topic_score_gemma":0.0000012879514,"teacher_disagreement_score":0.78854734,"about_ca_system_score_codex":0.00017851012,"about_ca_system_score_gemma":0.0000062411677,"threshold_uncertainty_score":0.99999255},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008640768,0.000016712167,0.9879954,0.00004765539,0.000050793962,0.0014180691,0.000004420609,0.00026728873,0.0015588815],"genre_scores_gemma":[0.72626674,0.0000013201883,0.27275252,0.000030952226,0.00007163386,0.0007763104,0.0000074883737,0.00007116887,0.000021846558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998852,0.000009650786,0.00032273377,0.0002168476,0.00018953017,0.00040923624],"domain_scores_gemma":[0.99938506,0.00020875051,0.000025928133,0.00024791423,0.000034118908,0.00009821328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045202437,0.00023789104,0.00026787817,0.000113761176,0.000048908245,0.000058321788,0.00021620534,0.00009896522,0.000005378221],"category_scores_gemma":[0.00011876322,0.0001654391,0.000046760888,0.00028912775,0.000024941382,0.00009704784,0.000022671618,0.00026123715,0.000012283439],"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":[0.0000057255684,0.000024039793,0.0000073029364,0.0014340255,0.000027904694,1.9279436e-7,0.0010846007,0.9744391,0.006139821,0.016508257,0.00008093145,0.00024810847],"study_design_scores_gemma":[0.0004503765,0.000079183854,0.000018089877,0.00026107792,0.000023611812,0.0000075097905,0.000038956958,0.9701711,0.0029665579,0.025384113,0.00033351654,0.00026591588],"about_ca_topic_score_codex":0.0000015397765,"about_ca_topic_score_gemma":0.000008530787,"teacher_disagreement_score":0.717626,"about_ca_system_score_codex":0.00006707257,"about_ca_system_score_gemma":0.0000080321315,"threshold_uncertainty_score":0.6746411},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018152382,0.000014100007,0.98029554,0.00016642753,0.000073067895,0.0006537564,0.0000030145982,0.00034431953,0.00029741458],"genre_scores_gemma":[0.7649528,0.0000010464141,0.23473863,0.000055171437,0.000044432938,0.00014609843,0.0000067975875,0.0000342777,0.000020730635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983685,0.000028013537,0.00038840185,0.00047570458,0.0003066919,0.0004326999],"domain_scores_gemma":[0.9990154,0.00016124311,0.000065054395,0.0005060552,0.00005963961,0.0001926155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030713546,0.00027500055,0.00025404955,0.00020474615,0.00004309893,0.0005015508,0.00037970956,0.000105724415,0.00005455236],"category_scores_gemma":[0.00013297463,0.0002514143,0.000049319646,0.00031300823,0.0000402497,0.0015661252,0.00011494637,0.0003128174,0.00009552953],"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":[0.000014831891,0.0022984056,0.00019155006,0.003343753,0.000053242395,0.00007476261,0.0031390851,0.48439848,0.33560988,0.046173885,0.000099568606,0.12460254],"study_design_scores_gemma":[0.00046019888,0.00017843864,0.0003004487,0.00021166672,0.0000031859163,0.000012124982,0.00000934071,0.9860416,0.0011005409,0.011368807,0.000022503136,0.00029111677],"about_ca_topic_score_codex":0.000008012887,"about_ca_topic_score_gemma":4.7122785e-7,"teacher_disagreement_score":0.7468004,"about_ca_system_score_codex":0.000117723095,"about_ca_system_score_gemma":0.000023270046,"threshold_uncertainty_score":0.9999938},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16357747,0.000017495957,0.8354268,0.000007395049,0.00007460243,0.00023568596,0.000009206162,0.00015873944,0.0004925959],"genre_scores_gemma":[0.97985715,0.0000060437114,0.020039454,0.000007115365,0.0000085208,0.00002351508,0.000025764737,0.00003060563,0.0000018239824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986575,0.000047606154,0.0006111087,0.0001951719,0.00022460042,0.00026397852],"domain_scores_gemma":[0.99917203,0.00034794604,0.000050606202,0.00031102044,0.000042450905,0.00007594956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007348299,0.00020391491,0.00060099404,0.0003016928,0.000014752047,0.000008770923,0.00010803067,0.0001338479,0.00010632423],"category_scores_gemma":[0.000158243,0.00019494338,0.00015224758,0.00065925106,0.000024285602,0.00010994833,0.00003643762,0.00024026405,0.000006427904],"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":[0.000008132341,0.00012029649,0.000104559746,0.0005767882,0.00023684812,0.0000030883953,0.00078499597,0.96021396,0.027346736,0.01048042,0.000005545995,0.0001186072],"study_design_scores_gemma":[0.00041146003,0.000016495867,0.004135068,0.000103495564,0.00015712927,0.0000016502084,0.00003130248,0.9791037,0.002641605,0.013201382,0.0000047568756,0.00019199414],"about_ca_topic_score_codex":0.000025861373,"about_ca_topic_score_gemma":0.00001878131,"teacher_disagreement_score":0.8162797,"about_ca_system_score_codex":0.00007090289,"about_ca_system_score_gemma":0.00000384242,"threshold_uncertainty_score":0.794956},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047980614,0.000020590312,0.9494866,0.00001274923,0.000043058353,0.0016481202,0.000001628001,0.0005821314,0.00022447928],"genre_scores_gemma":[0.92044,8.0407773e-7,0.07782839,0.000012175184,0.00002916904,0.0013352241,0.000032654425,0.00010539757,0.0002161473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861443,0.000013455053,0.00041006634,0.00024614905,0.00017728932,0.0005386287],"domain_scores_gemma":[0.9995342,0.00003962357,0.000022088992,0.00027793925,0.000021249989,0.000104922605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003717361,0.0002693235,0.00023618659,0.00029320875,0.00004041795,0.00016502874,0.0002477946,0.00008142272,0.000046815177],"category_scores_gemma":[0.00001569255,0.00022520157,0.0000602346,0.0001235313,0.000019356476,0.0002750426,0.000043576565,0.00013591534,0.00003088837],"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":[0.0000034441878,0.00007195384,0.000010720157,0.0021649064,0.00002835275,0.0000012297152,0.001487955,0.9934462,0.00047322642,0.0014813398,0.000014633126,0.0008160484],"study_design_scores_gemma":[0.0005539243,0.000029078165,0.0000058459555,0.00022750806,0.000023902663,3.865105e-7,0.000051731742,0.99354726,0.00019961938,0.004920549,0.00013058164,0.00030961755],"about_ca_topic_score_codex":0.0000018391306,"about_ca_topic_score_gemma":0.0000014943122,"teacher_disagreement_score":0.8724594,"about_ca_system_score_codex":0.00008456512,"about_ca_system_score_gemma":0.0000010596779,"threshold_uncertainty_score":0.91834533},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030698344,0.000094881,0.9681551,0.00007548914,0.00001962334,0.0007742105,9.258392e-7,0.000084937,0.000096528674],"genre_scores_gemma":[0.97544676,0.0000054281377,0.024345048,0.0000098963865,0.00003119289,0.00014325268,0.0000014272028,0.00001060682,0.000006385227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904317,0.000021034526,0.00033337198,0.00024183074,0.00013757548,0.00022304634],"domain_scores_gemma":[0.99932617,0.00017311958,0.000040970048,0.00032648913,0.000046256715,0.00008697243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032155745,0.000113510774,0.00021472058,0.00005880859,0.00002676807,0.000049566064,0.00022295867,0.00004734666,0.0000040878863],"category_scores_gemma":[0.000026407635,0.00009515128,0.00001620726,0.0005201122,0.000027010776,0.0001795337,0.0001078715,0.00012175822,0.000002860556],"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":[0.0000019959791,0.000049830778,0.0003549033,0.00024009419,0.0000036932533,0.000001165222,0.00014828224,0.9933013,0.00011375404,0.0046591624,0.0000014271967,0.0011243904],"study_design_scores_gemma":[0.00010021909,0.000054340268,0.00013289056,0.00010327093,0.0000027578753,0.000022225402,0.000004323324,0.9989527,0.000015695587,0.00045975766,0.000048095582,0.00010371858],"about_ca_topic_score_codex":0.0000064330206,"about_ca_topic_score_gemma":0.000004843992,"teacher_disagreement_score":0.9447484,"about_ca_system_score_codex":0.00003309737,"about_ca_system_score_gemma":0.0000071401478,"threshold_uncertainty_score":0.38801566},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4685923,0.00007806446,0.5274331,0.000003089517,0.00037333404,0.0026477342,0.000006084191,0.0005629904,0.0003033324],"genre_scores_gemma":[0.9985152,9.4555566e-7,0.00025223207,5.8989247e-7,0.00008621454,0.0010137456,0.0000013828674,0.00006639999,0.00006330715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849266,0.000045822868,0.0007278974,0.00020186164,0.00021153885,0.00032020372],"domain_scores_gemma":[0.99927497,0.00025447473,0.00006368545,0.00026149215,0.000064169966,0.000081226186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005194171,0.00023635318,0.00055025716,0.00018612276,0.00003204314,0.000043061587,0.00008907508,0.00012948082,0.0000051622865],"category_scores_gemma":[0.000090956644,0.00021675967,0.00008000948,0.00022630383,0.000009876862,0.00014534654,0.000021010994,0.00017119995,0.0000652317],"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":[0.0000032905236,0.000061924206,0.000010001423,0.00350557,0.00005895951,0.0000015552494,0.00048335077,0.93808687,0.057515863,0.00007875907,0.000011722779,0.00018213429],"study_design_scores_gemma":[0.0007578986,0.00012866233,0.000028418546,0.00045389176,0.000020927657,0.000022084183,0.0007947076,0.9964278,0.0010940243,0.000021855727,0.000033960514,0.0002157832],"about_ca_topic_score_codex":0.00008997806,"about_ca_topic_score_gemma":0.000009405783,"teacher_disagreement_score":0.5299229,"about_ca_system_score_codex":0.00013686507,"about_ca_system_score_gemma":0.0000033996066,"threshold_uncertainty_score":0.88392025},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036011292,0.000040032734,0.9944498,0.00024951287,0.00028508744,0.0011538154,9.539191e-7,0.00018177234,0.000037875234],"genre_scores_gemma":[0.9489698,0.0000017539896,0.05040221,0.000064671396,0.00016793727,0.000358454,0.0000027898,0.000023492757,0.000008916371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982932,0.00002616102,0.0005371425,0.00037777514,0.00022324444,0.00054246857],"domain_scores_gemma":[0.9992071,0.00033466585,0.000075009724,0.00025415988,0.000042933854,0.00008614076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038424015,0.00023756608,0.000396506,0.00013048771,0.000042693602,0.00022132864,0.00057863886,0.00012539413,0.000010827104],"category_scores_gemma":[0.00003855919,0.00022768893,0.00007589408,0.00029776877,0.000013962787,0.00036636787,0.00010457421,0.00023605488,0.000014910934],"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":[0.000007710712,0.00007057242,6.844262e-7,0.000067656954,0.000010811401,0.00000239671,0.00008613717,0.69425195,0.000023780567,0.30225128,0.0000026727246,0.0032243521],"study_design_scores_gemma":[0.0023428749,0.00007630523,0.0000068354984,0.00025055103,0.000006961998,0.000004582008,0.0000011862786,0.7335185,0.000006750102,0.2636071,6.8405967e-7,0.00017768532],"about_ca_topic_score_codex":0.0000048535394,"about_ca_topic_score_gemma":0.0000050001786,"teacher_disagreement_score":0.94536865,"about_ca_system_score_codex":0.00010967666,"about_ca_system_score_gemma":0.000049848215,"threshold_uncertainty_score":0.9284885},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015992898,0.0012637998,0.98752546,0.00014671533,0.0010283905,0.0011482405,0.00001587978,0.000805888,0.006466329],"genre_scores_gemma":[0.9533449,0.000019783516,0.044946738,0.000029091314,0.00037660083,0.000441816,0.000020405503,0.0003096939,0.00051097246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99617535,0.00006525107,0.0013133538,0.0005735169,0.00073372544,0.0011388134],"domain_scores_gemma":[0.9981704,0.00042938272,0.00013182919,0.0006240004,0.00016094874,0.0004834799],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010375157,0.00072565733,0.0009842338,0.00039292997,0.000039021055,0.00014057857,0.00045112422,0.0004624976,0.00016381378],"category_scores_gemma":[0.0010241866,0.0007766691,0.00013585374,0.0009410129,0.000055469827,0.0005319575,0.00012549212,0.0010617302,0.0007287619],"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":[0.000012117462,0.00014674081,0.00004554471,0.0023542293,0.00013299413,0.000046677804,0.00094926805,0.98386824,0.0026082066,0.009088135,0.00045426056,0.00029356295],"study_design_scores_gemma":[0.001752147,0.000060919243,0.000022884873,0.0013606532,0.00004179452,0.00008432661,0.0001440651,0.9825982,0.00023834186,0.010529033,0.002341291,0.00082633214],"about_ca_topic_score_codex":0.000020302183,"about_ca_topic_score_gemma":0.0000032056741,"teacher_disagreement_score":0.9517456,"about_ca_system_score_codex":0.00094784814,"about_ca_system_score_gemma":0.00008560546,"threshold_uncertainty_score":0.99946845},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010680009,0.00051236205,0.99661756,0.00027467948,0.0002953886,0.0005319675,2.8407547e-7,0.00029513836,0.0013658107],"genre_scores_gemma":[0.875452,0.000009725363,0.123815246,0.00013114772,0.00023725227,0.00023940582,4.855829e-7,0.000022403912,0.00009235358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984684,0.000042548385,0.00042661742,0.0003331501,0.00026583913,0.00046341852],"domain_scores_gemma":[0.9991441,0.00017827553,0.000032041073,0.00048721174,0.000033046075,0.00012532694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006027825,0.00019972351,0.0002662497,0.0000955883,0.00006405595,0.00025468788,0.0008571343,0.00008671135,0.000004085921],"category_scores_gemma":[0.000026039641,0.00014471459,0.0000546094,0.0004892165,0.000011398039,0.00018471037,0.0002237564,0.0003389217,0.000044530825],"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":[1.6591801e-7,0.000047579917,0.000001095714,0.000046571764,0.000009902884,0.0000020648772,0.00046967613,0.92507803,8.531498e-7,0.042250253,0.00019450321,0.03189931],"study_design_scores_gemma":[0.00016652938,0.000014353669,7.8666545e-7,0.00014705208,0.0000037180862,0.000030151123,0.000012239596,0.99828506,2.425604e-7,0.0008749623,0.00027709213,0.00018780994],"about_ca_topic_score_codex":0.0000035621028,"about_ca_topic_score_gemma":1.7141683e-7,"teacher_disagreement_score":0.8753452,"about_ca_system_score_codex":0.000051778836,"about_ca_system_score_gemma":0.000004513766,"threshold_uncertainty_score":0.59012896},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0134510305,0.00015133942,0.985183,0.0003341504,0.00014248987,0.0002930356,5.134869e-7,0.00014777727,0.00029667636],"genre_scores_gemma":[0.97139335,0.0000042957076,0.028415352,0.000067293964,0.000034192522,0.000054766442,8.441374e-7,0.00002255548,0.0000073693113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981855,0.00008128664,0.00046013526,0.00031886515,0.0005533174,0.00040089482],"domain_scores_gemma":[0.9983477,0.000685939,0.000111065274,0.00065694546,0.00006596905,0.00013238906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012501635,0.00023484681,0.000352703,0.00028787364,0.00003212144,0.00008994399,0.0007937681,0.00006718622,0.000021964579],"category_scores_gemma":[0.00031288582,0.00016807817,0.00014006435,0.0011466723,0.00006600328,0.00025819946,0.00018720304,0.00038862482,0.000013395349],"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":[0.0000018732708,0.00007738963,0.00004056597,0.000072577306,0.000020584557,0.000006315556,0.00034181814,0.89219415,0.0002039872,0.10605305,0.000022164408,0.0009655417],"study_design_scores_gemma":[0.00032936517,0.000060820876,0.000039524304,0.0001776527,0.00001326828,0.000010171371,0.000019073987,0.9280648,0.00023979871,0.070880204,0.000004701531,0.00016059163],"about_ca_topic_score_codex":0.0000138527885,"about_ca_topic_score_gemma":0.0000021016053,"teacher_disagreement_score":0.9579423,"about_ca_system_score_codex":0.00007178349,"about_ca_system_score_gemma":0.00001740375,"threshold_uncertainty_score":0.6854029},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067107882,0.00006935536,0.99124384,0.000037422982,0.0002079997,0.0007488365,0.000011141707,0.00038320967,0.00058740884],"genre_scores_gemma":[0.88625985,0.0000023812959,0.113171935,0.000017598593,0.00011393847,0.0003205183,0.000021826425,0.000071268856,0.000020694539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987018,0.000018452525,0.00042840056,0.00020180098,0.0001877698,0.00046177013],"domain_scores_gemma":[0.9994252,0.00009234986,0.000023966564,0.00023180351,0.000033532415,0.00019319456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069484976,0.00021804073,0.00029004528,0.00009204084,0.00002006217,0.000038907732,0.00014903046,0.00010940841,0.00001251452],"category_scores_gemma":[0.000058701982,0.00020917553,0.00005766119,0.00013933421,0.0000047522544,0.00014099987,0.000020726131,0.00014036128,0.000013399083],"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":[0.0000071194954,0.00011963652,0.0000105887475,0.0006015352,0.000023062425,0.0000014608472,0.0012034028,0.94542134,0.04241828,0.009290523,0.00014808017,0.0007549956],"study_design_scores_gemma":[0.000897373,0.00009602064,0.0000063012803,0.000096318596,0.000013838713,0.0000043931054,0.00009173878,0.9739769,0.013816082,0.009596506,0.0011391278,0.00026537635],"about_ca_topic_score_codex":0.000006017902,"about_ca_topic_score_gemma":0.0000035528678,"teacher_disagreement_score":0.879549,"about_ca_system_score_codex":0.00021892133,"about_ca_system_score_gemma":0.000006269467,"threshold_uncertainty_score":0.8529931},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028379362,0.00034210016,0.9674435,0.000027424961,0.00032741367,0.00043516065,0.0000021439619,0.00063191145,0.0024109522],"genre_scores_gemma":[0.96851456,0.000002928671,0.031093145,0.000033475546,0.00016592642,0.00007638531,0.000005220126,0.00009156601,0.000016769865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797887,0.000049180428,0.0007258789,0.00021725494,0.00026560144,0.00076320884],"domain_scores_gemma":[0.9992903,0.00014936848,0.00010244041,0.00028471908,0.00002835679,0.00014481891],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007934328,0.00026461203,0.00038169377,0.000120115496,0.000051907886,0.000066983695,0.00018967954,0.00017122611,0.0001932985],"category_scores_gemma":[0.00018513651,0.00026444433,0.00007895598,0.00034212082,0.000025124815,0.00038186528,0.00008342549,0.0002778811,0.000029462992],"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":[0.0000031137645,0.000102224985,0.00015343788,0.00019698599,0.000014955874,0.0000024218898,0.0004229478,0.95562387,0.017718188,0.025164615,0.00015379018,0.00044344412],"study_design_scores_gemma":[0.00014644572,0.000021857602,0.000014021392,0.0004161378,0.00001353563,0.000048534304,0.000046843652,0.96765673,0.014472817,0.016163869,0.0005852941,0.00041392643],"about_ca_topic_score_codex":0.000042359952,"about_ca_topic_score_gemma":0.0000021789235,"teacher_disagreement_score":0.94013524,"about_ca_system_score_codex":0.00018384709,"about_ca_system_score_gemma":0.000007825881,"threshold_uncertainty_score":0.99998075},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0700156,0.00016248476,0.9248759,0.000046190147,0.00053889933,0.0015448817,0.000021605942,0.00041223504,0.0023821837],"genre_scores_gemma":[0.9959514,0.0000020383443,0.0024835037,0.000016370332,0.00016025206,0.0012640507,0.00000831826,0.00008672165,0.000027310238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979527,0.00005367128,0.00073491817,0.00037367703,0.00035541813,0.00052962225],"domain_scores_gemma":[0.99818623,0.0010743891,0.000057370384,0.000459801,0.00008105203,0.00014115867],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012338109,0.00036263463,0.0006037454,0.00014084521,0.000045993733,0.00010942658,0.0002468443,0.00016442237,0.00004228825],"category_scores_gemma":[0.0003280462,0.00030800418,0.000103371,0.00015299392,0.00003254833,0.00017481082,0.00002786597,0.00033973288,0.000030071145],"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":[0.00004527578,0.00010778348,0.00006064383,0.003391531,0.00007400717,0.0000030514307,0.00038220515,0.97091657,0.0013962071,0.023205772,0.000055604687,0.00036132857],"study_design_scores_gemma":[0.0010170199,0.0002358886,0.000044158227,0.0007821906,0.000024115665,0.000036754762,0.00009644611,0.9889841,0.00019089681,0.0073147933,0.00085967046,0.00041393892],"about_ca_topic_score_codex":0.000015264883,"about_ca_topic_score_gemma":0.000019029125,"teacher_disagreement_score":0.9259358,"about_ca_system_score_codex":0.0003226224,"about_ca_system_score_gemma":0.000012758217,"threshold_uncertainty_score":0.9999372},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067074858,0.00012569902,0.99172515,0.000016070875,0.0000765125,0.00059232634,0.0000071429686,0.00024796446,0.00050166453],"genre_scores_gemma":[0.9804028,0.000003146898,0.019130265,0.000018491277,0.00005690799,0.00030541248,0.0000032097862,0.00007423027,0.0000055308806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855226,0.000017803439,0.0005411154,0.00019595867,0.00019126924,0.0005015974],"domain_scores_gemma":[0.9988334,0.0007741678,0.000062336745,0.00019364034,0.000046165842,0.00009029871],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042350133,0.00025942677,0.0005201336,0.00029258884,0.000034484467,0.000023051609,0.0001816541,0.00013144473,0.000009979757],"category_scores_gemma":[0.00026638707,0.00025656662,0.00012640789,0.00036330274,0.000013017598,0.000112611626,0.000009668204,0.000222535,0.00000387154],"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":[0.0000121078365,0.000048372818,0.000033964665,0.0006615787,0.000053356343,5.0361206e-7,0.00013637394,0.9451442,0.004632564,0.02459828,0.00002111592,0.024657575],"study_design_scores_gemma":[0.0011999799,0.00012737326,0.000004570977,0.00028609624,0.000036278325,0.0000021503386,0.000007715616,0.98715055,0.0020025962,0.008876455,0.00004136702,0.00026484442],"about_ca_topic_score_codex":0.0000028636596,"about_ca_topic_score_gemma":9.118038e-7,"teacher_disagreement_score":0.97369534,"about_ca_system_score_codex":0.0001341084,"about_ca_system_score_gemma":0.00001906808,"threshold_uncertainty_score":0.9999887},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019075066,0.000056757508,0.97440803,0.00084423064,0.000074652125,0.0006012348,0.0000015681806,0.00010645639,0.0048320233],"genre_scores_gemma":[0.9856269,0.000008485761,0.013762809,0.00008105711,0.00005229294,0.00014799502,0.000010886875,0.000020072097,0.00028951955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990483,0.000017713648,0.00040520573,0.00017283771,0.00008027594,0.00027564654],"domain_scores_gemma":[0.9992049,0.000521826,0.000032111402,0.00013242259,0.000022146613,0.00008660528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049130456,0.00012031104,0.00038828453,0.00007790441,0.000027298343,0.000005483444,0.000045958594,0.00016921392,0.00051220274],"category_scores_gemma":[0.0012714595,0.000095778545,0.00007740575,0.00010928435,0.00003092978,0.000047133468,0.000017916176,0.00016221033,0.000047295674],"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":[0.00001438899,0.00029699106,0.0011341681,0.0016696635,0.000022658658,0.0000035048038,0.00016665086,0.032376844,0.000116127565,0.96344876,0.000061416606,0.00068884477],"study_design_scores_gemma":[0.0005231423,0.00006355674,0.0003645945,0.00021157491,0.000022094031,0.000016989172,0.0000053104463,0.7954536,0.000017140896,0.20318879,0.000045554192,0.0000876493],"about_ca_topic_score_codex":0.0000010788971,"about_ca_topic_score_gemma":6.6339396e-7,"teacher_disagreement_score":0.96655184,"about_ca_system_score_codex":0.000033722892,"about_ca_system_score_gemma":0.000001840212,"threshold_uncertainty_score":0.5608261},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22497447,0.0003469461,0.77411497,0.0000036840363,0.000033342643,0.00008293715,0.0000010453144,0.00007211607,0.0003704772],"genre_scores_gemma":[0.99718994,0.000019469204,0.0027290692,0.0000014227892,0.000018191304,0.000019107674,9.4104354e-7,0.000018059407,0.0000038001342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992852,0.000008395599,0.00033626897,0.00009308281,0.00010397151,0.0001730322],"domain_scores_gemma":[0.9997044,0.000058186768,0.000016155838,0.00014924067,0.000014523163,0.000057496152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037304964,0.00010980851,0.0003278212,0.00017893096,0.0000107572705,0.000015552087,0.000068699155,0.00006402862,0.0000057087295],"category_scores_gemma":[0.00003647751,0.00009736272,0.000039249106,0.00027534118,0.0000090795265,0.00006260494,0.000014261218,0.00012787887,0.0000018961184],"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":[3.756219e-7,0.0000073817237,0.00045829706,0.0010055124,0.00004396998,2.972465e-7,0.000067321125,0.992586,0.0018524119,0.0038638662,0.000001171307,0.00011339321],"study_design_scores_gemma":[0.00018456446,0.000008632743,0.00008820445,0.00021172978,0.000048224603,0.000002618385,0.000005721379,0.9987281,0.0000916215,0.0004931754,0.000029452209,0.00010798027],"about_ca_topic_score_codex":0.0000072867974,"about_ca_topic_score_gemma":9.4532453e-7,"teacher_disagreement_score":0.7722155,"about_ca_system_score_codex":0.000014552059,"about_ca_system_score_gemma":0.0000016484063,"threshold_uncertainty_score":0.39703363},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058382425,0.00034441237,0.9370713,0.00003931585,0.00018909601,0.00065267994,0.000016589547,0.00090948783,0.0023946627],"genre_scores_gemma":[0.9829945,0.000007967249,0.016542485,0.0000051887187,0.00007839235,0.00012796244,0.000005350682,0.00005558642,0.00018259807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904865,0.000023505936,0.00031381648,0.00013225901,0.00015039789,0.00033138675],"domain_scores_gemma":[0.9995978,0.00009836436,0.00002386584,0.00014267222,0.000016513424,0.00012078179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030709387,0.00021120613,0.00032164453,0.000120616955,0.000024267249,0.000025104317,0.00005995971,0.00010395665,0.000022667306],"category_scores_gemma":[0.00003514999,0.00017808925,0.00002755972,0.00018386578,0.000022153201,0.00028222596,0.000020469979,0.00023409558,0.000016626622],"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":[0.000034929035,0.000096618875,0.00006435297,0.0008361853,0.00009921657,0.0000024659844,0.0012735866,0.98410684,0.008149251,0.0045510735,0.00003646292,0.00074904197],"study_design_scores_gemma":[0.0006292135,0.00010951195,0.0001959269,0.0002579862,0.000019690584,0.00006052786,0.000103794846,0.99744606,0.00048800115,0.00029159806,0.0001925283,0.00020515599],"about_ca_topic_score_codex":0.000002997708,"about_ca_topic_score_gemma":0.0000031802977,"teacher_disagreement_score":0.92461205,"about_ca_system_score_codex":0.0000660493,"about_ca_system_score_gemma":0.0000034499585,"threshold_uncertainty_score":0.7262269},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81906796,0.0031985375,0.17008285,0.00013809609,0.00013012922,0.0026566624,0.0000516799,0.0009969643,0.0036771037],"genre_scores_gemma":[0.9980683,0.000027351118,0.0015245562,0.0000039219854,0.000040717674,0.00019434313,0.0000027929345,0.00006957623,0.00006845045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786985,0.00006859894,0.0007053745,0.00047559154,0.00034316574,0.00053743063],"domain_scores_gemma":[0.9987215,0.00045585315,0.00004256239,0.0005023085,0.0000419929,0.00023580971],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008841759,0.0004056161,0.0007163798,0.00010964945,0.000049359955,0.000106763975,0.00015660404,0.00017625833,0.00016041497],"category_scores_gemma":[0.00014043557,0.0003385336,0.00005077867,0.00021216455,0.000117860116,0.00027417645,0.00007369097,0.0003721133,0.00002995814],"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":[0.000028966171,0.00022448461,0.0025229284,0.0095870765,0.00013662444,0.000021317232,0.003060347,0.9787848,0.0038285847,0.0010774184,0.00002929121,0.00069819135],"study_design_scores_gemma":[0.0006361415,0.000085504376,0.00014146345,0.00041101302,0.000024024328,0.00005314279,0.00011191164,0.9974447,0.000059635982,0.0005549954,0.00007204978,0.00040544514],"about_ca_topic_score_codex":0.00002694299,"about_ca_topic_score_gemma":0.000010280077,"teacher_disagreement_score":0.17900032,"about_ca_system_score_codex":0.00018145362,"about_ca_system_score_gemma":0.0000066322696,"threshold_uncertainty_score":0.99990666},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36728156,0.009335766,0.25266543,0.0023179525,0.011900809,0.0007583339,0.00080878707,0.0029655872,0.35196579],"genre_scores_gemma":[0.9737706,0.00072733767,0.01487578,0.00075365783,0.0026012922,0.004513871,0.00057904766,0.0018783435,0.00030004265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98482335,0.00048613382,0.003926694,0.0026534176,0.003668099,0.004442303],"domain_scores_gemma":[0.988864,0.0034955197,0.0019865818,0.003508141,0.0002910295,0.0018547169],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0031335982,0.0018528973,0.0009636328,0.0012286467,0.0014203251,0.0018165079,0.0030735533,0.0033638822,0.1257811],"category_scores_gemma":[0.002969146,0.003427158,0.0021237254,0.002027019,0.0012251842,0.0026379433,0.0016793616,0.0037639535,0.0055580074],"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":[0.0007847871,0.0007266163,0.000028066714,0.008857632,0.0024508885,0.0019194869,0.0029965579,0.26975355,0.012374195,0.5338399,0.16271178,0.0035565698],"study_design_scores_gemma":[0.0041448376,0.001465145,0.00005675191,0.0066065844,0.001315785,0.0019586221,0.00128641,0.27969536,0.6852728,0.008086265,0.0059639607,0.0041474565],"about_ca_topic_score_codex":0.0012188046,"about_ca_topic_score_gemma":0.0005142527,"teacher_disagreement_score":0.6728986,"about_ca_system_score_codex":0.00013355227,"about_ca_system_score_gemma":0.0011416321,"threshold_uncertainty_score":0.9998797},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00095555064,0.000098949255,0.9977796,0.000041286392,0.00013821428,0.0007084707,0.000002448503,0.00009934884,0.00017610507],"genre_scores_gemma":[0.49381304,0.0000012453969,0.5060892,0.0000065395566,0.000011112882,0.000047147747,0.000001066852,0.000021576265,0.000009040531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965514,0.00027758698,0.0014025936,0.00048097898,0.0008521399,0.00043532948],"domain_scores_gemma":[0.99420744,0.0046355,0.00017291929,0.0005805939,0.0002382806,0.00016525718],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00809159,0.00028221315,0.00067134487,0.00059204234,0.000022676011,0.00008140402,0.0005345018,0.00019646237,0.00006977317],"category_scores_gemma":[0.016960377,0.00022355576,0.0000649089,0.0012094489,0.00009674559,0.00023307682,0.00008721574,0.00030321736,0.000006828429],"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":[0.00002231574,0.00008446996,0.000075095166,0.00020181568,0.000005385359,0.000006786951,0.00040043966,0.99250424,0.0002740364,0.0062642023,0.000066115615,0.00009507057],"study_design_scores_gemma":[0.00060190755,0.000060773476,0.000020049312,0.0002899191,0.000006998251,0.000005434147,0.0000753021,0.867343,0.00035002214,0.1310253,0.000009667983,0.00021161043],"about_ca_topic_score_codex":0.000020179765,"about_ca_topic_score_gemma":0.0000015108782,"teacher_disagreement_score":0.4928575,"about_ca_system_score_codex":0.00022512492,"about_ca_system_score_gemma":0.00021606448,"threshold_uncertainty_score":0.9913202},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008074497,0.00032001938,0.9901345,0.00027524043,0.0000730734,0.0008870493,0.0000010487746,0.00021420831,0.000020415204],"genre_scores_gemma":[0.94164675,0.0000034238296,0.057973698,0.00009176595,0.000112702604,0.00015123836,8.4719505e-7,0.000016873959,0.000002681397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989104,0.000011361007,0.00033812775,0.00027072424,0.00010348471,0.000365849],"domain_scores_gemma":[0.999249,0.00035747676,0.00005376698,0.0002102599,0.000039222232,0.000090314876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031825664,0.00014808081,0.00023904274,0.00006596409,0.00008168564,0.00017727578,0.00033661726,0.000068901696,0.0000012950866],"category_scores_gemma":[0.00004954719,0.00014306446,0.000041049952,0.0003125886,0.00001991216,0.00030606703,0.00007731788,0.000139636,0.0000013310287],"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":[0.0000017868476,0.000018269822,0.000039508188,0.00011318443,0.000010023032,0.000001113656,0.0000626123,0.92818576,0.00007285847,0.0671514,0.0000017757326,0.0043416834],"study_design_scores_gemma":[0.0009868612,0.000016656068,0.000023393146,0.0001495556,0.000010722515,0.00001076657,0.0000018775332,0.9561814,0.000008553715,0.042398516,0.000060815808,0.00015089689],"about_ca_topic_score_codex":0.0000035676994,"about_ca_topic_score_gemma":0.0000016089039,"teacher_disagreement_score":0.9335723,"about_ca_system_score_codex":0.00004474221,"about_ca_system_score_gemma":0.00001911027,"threshold_uncertainty_score":0.58339995},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17701729,0.0001216866,0.80862397,0.00007975345,0.00011789297,0.00036797897,3.8020664e-7,0.0005155189,0.013155533],"genre_scores_gemma":[0.9961693,0.0000010418142,0.003504231,0.000036179008,0.00013979837,0.000055429813,0.000004924587,0.000043662643,0.000045408146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981902,0.000016472311,0.00067921175,0.00033846006,0.00031046313,0.0004651755],"domain_scores_gemma":[0.9992548,0.00018073362,0.00014465577,0.00033882106,0.000049376154,0.000031581993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001800287,0.00024373643,0.00058684614,0.0013672712,0.00003227194,0.00013478227,0.00027734798,0.00008916375,0.000029733608],"category_scores_gemma":[0.00082722015,0.00023503484,0.00012144665,0.0031482775,0.000019599434,0.0007461172,0.0001764672,0.000276684,0.000119797754],"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":[0.0000032595115,0.00004344117,0.00299334,0.0009741033,0.000068551984,0.00002723402,0.00019910483,0.92161655,0.00009676022,0.07380177,0.000004092947,0.0001717835],"study_design_scores_gemma":[0.0003083753,0.000002703527,0.00020993152,0.0005253989,0.00015978774,0.0000023091343,0.00040386082,0.9807442,0.000015300244,0.017131459,0.00021414102,0.0002825753],"about_ca_topic_score_codex":0.00017849263,"about_ca_topic_score_gemma":0.00008782973,"teacher_disagreement_score":0.81915206,"about_ca_system_score_codex":0.00026790507,"about_ca_system_score_gemma":0.000009119019,"threshold_uncertainty_score":0.95844424},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40367368,0.00013300117,0.59459805,0.000012016247,0.00011709854,0.00055424386,0.0000066762227,0.00035219634,0.0005530337],"genre_scores_gemma":[0.99687636,0.000036283698,0.0029524295,0.000004276095,0.000026633039,0.000051349612,0.0000024391059,0.000035458947,0.000014796727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872434,0.000016352955,0.0005288048,0.00020975068,0.00015287512,0.00036785868],"domain_scores_gemma":[0.99933094,0.00032114147,0.000052509673,0.00018308012,0.000032698823,0.000079608355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005060028,0.0002413297,0.00047354095,0.00013725007,0.00003625641,0.000020418584,0.00014023345,0.00008191001,0.000013160537],"category_scores_gemma":[0.000108331034,0.00022453301,0.00004373263,0.000180185,0.0000478451,0.00017538975,0.0000408659,0.00026059637,0.0000030989268],"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":[0.000011700622,0.00003777903,0.000023246326,0.0017442311,0.000029047222,9.815236e-7,0.00036469617,0.8496223,0.000975817,0.00011306479,0.0000010115443,0.14707612],"study_design_scores_gemma":[0.0011371835,0.00009306847,0.00064467883,0.0003002609,0.000026911137,0.0000069511857,0.000059988746,0.9972372,0.00012682183,0.00003105326,0.000102858445,0.00023300515],"about_ca_topic_score_codex":0.0000040966515,"about_ca_topic_score_gemma":0.0000037203247,"teacher_disagreement_score":0.59320265,"about_ca_system_score_codex":0.000073379095,"about_ca_system_score_gemma":0.000005999756,"threshold_uncertainty_score":0.9156191},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042385797,0.00011037977,0.9978341,0.0005376533,0.00012473029,0.00076336623,3.948062e-7,0.00009232022,0.00011324012],"genre_scores_gemma":[0.21854465,0.000006140593,0.7810225,0.000016517444,0.000051206363,0.00028840432,2.729984e-7,0.00001586999,0.000054479297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990639,0.000017266548,0.00029911764,0.0002163941,0.00011821696,0.00028510115],"domain_scores_gemma":[0.99935746,0.00027372746,0.000036774567,0.00026738184,0.000021932252,0.00004273558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008043366,0.00012961784,0.00017703096,0.00014133393,0.000036485435,0.000097799566,0.0004217041,0.000060764596,0.0000030582069],"category_scores_gemma":[0.0002514604,0.00009994153,0.000050237973,0.00036594996,0.000015392385,0.00028541795,0.00010987198,0.00020480769,0.000004182049],"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":[0.0000045406073,0.00004107109,0.0000013025814,0.00027946552,0.000006004822,0.000009816477,0.0011988682,0.65258604,0.31301704,0.026783992,0.000034064615,0.006037769],"study_design_scores_gemma":[0.0013658534,0.00011533724,0.00007888507,0.0010216943,0.000008438921,0.00016205604,0.00003936584,0.35366714,0.30790436,0.335125,0.00012893556,0.0003829271],"about_ca_topic_score_codex":0.0000272651,"about_ca_topic_score_gemma":0.0000012814329,"teacher_disagreement_score":0.308341,"about_ca_system_score_codex":0.000113353344,"about_ca_system_score_gemma":0.000035673715,"threshold_uncertainty_score":0.4075497},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030792449,0.000055728815,0.99534005,0.00032960987,0.00010190839,0.00073463924,0.000011687975,0.00008944515,0.00025767568],"genre_scores_gemma":[0.47759122,0.0000023064733,0.5217373,0.000009029062,0.000043506974,0.00035519476,0.000007966964,0.000032212487,0.00022124957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862635,0.0000210994,0.0006406586,0.00021308349,0.00023032704,0.00026847798],"domain_scores_gemma":[0.9974532,0.0020209597,0.0001144639,0.00018474042,0.0001259369,0.00010071532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032915833,0.0001921075,0.00034907705,0.00024290763,0.00006603452,0.00004983436,0.00011664725,0.00011633291,0.00016819003],"category_scores_gemma":[0.0013457147,0.00018413326,0.00009427058,0.00021463662,0.000049396705,0.0004384209,0.000065505585,0.00024271519,0.000012228854],"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":[0.000005141416,0.00016627883,0.00001121001,0.00079048396,0.00006547048,2.387157e-7,0.0007392116,0.04994037,0.009886336,0.9351621,0.0005750232,0.002658109],"study_design_scores_gemma":[0.00024103689,0.00003639815,0.00015423521,0.00022820856,0.000024797726,0.000007915549,0.00019447813,0.54383576,0.00016493742,0.45495147,0.00004140782,0.000119347795],"about_ca_topic_score_codex":0.00015961486,"about_ca_topic_score_gemma":0.00003919637,"teacher_disagreement_score":0.4938954,"about_ca_system_score_codex":0.00009527073,"about_ca_system_score_gemma":0.00006223918,"threshold_uncertainty_score":0.7508736},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014463018,0.00053423503,0.9808355,0.000020774838,0.0004401384,0.0012315625,0.000016914119,0.000365624,0.0020922087],"genre_scores_gemma":[0.99421835,0.0000047929957,0.0047324374,0.000004098358,0.000054636013,0.00086176523,0.0000052203786,0.00006847536,0.00005024356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829674,0.000041494764,0.0006193206,0.00027175518,0.00020263682,0.0005680365],"domain_scores_gemma":[0.99880075,0.00069005607,0.00003544857,0.00030345036,0.00004002602,0.00013026554],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073819456,0.0002940435,0.0005387685,0.00011927446,0.000035322526,0.00006680255,0.00017301716,0.00017129838,0.000017895998],"category_scores_gemma":[0.0005562455,0.00027563854,0.00011680095,0.00023566937,0.000029346298,0.00013406924,0.000015196768,0.00025395048,0.000013042326],"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":[0.0000026048942,0.000048702295,0.00012043173,0.0022919336,0.000031811418,0.0000026770456,0.00023169743,0.95105946,0.0007993786,0.045238286,0.000033145796,0.00013986057],"study_design_scores_gemma":[0.00060042855,0.00003444612,0.00003271686,0.00038459958,0.000013258256,0.000015303436,0.00012614945,0.9913809,0.0000832066,0.006337087,0.0006570032,0.00033493427],"about_ca_topic_score_codex":0.000009018627,"about_ca_topic_score_gemma":0.000007651053,"teacher_disagreement_score":0.97975534,"about_ca_system_score_codex":0.00027432738,"about_ca_system_score_gemma":0.000016345835,"threshold_uncertainty_score":0.9999696},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03895927,0.00008006105,0.95804393,0.000010799396,0.000229264,0.00039574387,0.0000027361364,0.0010576099,0.0012206149],"genre_scores_gemma":[0.8341151,0.0000029446035,0.16565587,0.0000064800356,0.00006951536,0.00003873844,0.000003585593,0.00009774104,0.000010045802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998398,0.0000330342,0.0005166119,0.00029751408,0.00025061797,0.00050422637],"domain_scores_gemma":[0.9993074,0.000119073615,0.000057200283,0.00033703257,0.000056716042,0.00012256541],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032562038,0.000361979,0.00044686478,0.00026262386,0.000056135406,0.00007287359,0.00020523953,0.00016790713,0.000042789157],"category_scores_gemma":[0.00011858638,0.0003733329,0.00008547027,0.00032585458,0.00004505882,0.00009909672,0.00009193817,0.00033803593,0.000023726932],"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":[0.0000029739422,0.0000518154,0.000009563057,0.00021344052,0.000024901325,0.000008458831,0.00015400205,0.9890646,0.0069328416,0.0031685797,0.0000274721,0.00034138357],"study_design_scores_gemma":[0.0003083716,0.000030516854,0.000006801322,0.0008636381,0.000030087509,0.000030030455,0.000016002996,0.99150807,0.0055324174,0.0012410518,0.00003309742,0.00039992432],"about_ca_topic_score_codex":0.000010722955,"about_ca_topic_score_gemma":0.000001332532,"teacher_disagreement_score":0.7951558,"about_ca_system_score_codex":0.00019231068,"about_ca_system_score_gemma":0.00001213717,"threshold_uncertainty_score":0.99987185},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004239843,0.00006927708,0.9949566,0.000060028196,0.000056504894,0.00019021904,2.8538926e-7,0.00022087566,0.00020633097],"genre_scores_gemma":[0.75540656,0.0000011714102,0.24449883,0.000021506346,0.000020365647,0.000033070763,4.1997995e-7,0.000010952569,0.000007126319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998695,0.000030921314,0.0003723507,0.0003295832,0.00022542724,0.0003467263],"domain_scores_gemma":[0.99924123,0.00019321579,0.000041349213,0.00039229987,0.00001952238,0.00011239133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008017964,0.00016823494,0.00036556457,0.00028930712,0.00004131226,0.00011426748,0.00036050507,0.0000732741,0.0000027140604],"category_scores_gemma":[0.00018642635,0.00015687052,0.00005496158,0.00046875476,0.000011790235,0.00020244149,0.00011401582,0.00020058715,0.00001197632],"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":[2.140165e-7,0.000017899622,0.00085550355,0.000115547686,0.00004004628,0.0000030363526,0.00029086464,0.9781245,0.00018836983,0.019711131,9.827326e-7,0.0006518795],"study_design_scores_gemma":[0.0002670623,0.000015822587,0.0003138039,0.00010373898,0.00002965651,0.000010744534,0.0000029465286,0.9895208,0.00001902007,0.009530399,0.000006648448,0.00017938756],"about_ca_topic_score_codex":0.000010605559,"about_ca_topic_score_gemma":6.823128e-7,"teacher_disagreement_score":0.7511667,"about_ca_system_score_codex":0.00003482734,"about_ca_system_score_gemma":0.000006041221,"threshold_uncertainty_score":0.63969946},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00091252144,0.00020986407,0.9978166,0.00008045454,0.00006887033,0.00075811235,0.000004421167,0.00006217818,0.000086927044],"genre_scores_gemma":[0.2137622,0.000011874295,0.78602153,0.000012649595,0.00001947867,0.00012911699,6.490285e-7,0.000022985168,0.000019541432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841297,0.000045050456,0.00045595187,0.00024947582,0.0003420869,0.0004944868],"domain_scores_gemma":[0.9984643,0.00095137896,0.00008079322,0.0002696706,0.00007782659,0.00015601495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011135427,0.00017597541,0.00036015667,0.00026302505,0.000033271728,0.000071787064,0.00028319503,0.00005430542,0.000011824757],"category_scores_gemma":[0.000422914,0.0001565577,0.0000460272,0.00030488955,0.000038113227,0.0002047941,0.00010616165,0.00014867412,0.0000027832477],"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":[0.000003489836,0.00015803523,0.000069362315,0.0007447931,0.000016161126,9.1490847e-7,0.0006700004,0.9737899,0.0004820296,0.0041970066,0.0000047111384,0.019863628],"study_design_scores_gemma":[0.0008478719,0.000074147116,0.00009025778,0.00018500026,0.000004619509,0.0000029077673,0.000015514075,0.9961349,0.0007671544,0.0016981787,0.000022090006,0.00015736729],"about_ca_topic_score_codex":0.000001947296,"about_ca_topic_score_gemma":1.2009382e-7,"teacher_disagreement_score":0.21284968,"about_ca_system_score_codex":0.000050220737,"about_ca_system_score_gemma":0.00002244569,"threshold_uncertainty_score":0.63842374},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005516192,0.0000064009696,0.9926989,0.000028731181,0.00007769023,0.0011629256,0.000078829624,0.00010821032,0.00032213147],"genre_scores_gemma":[0.3544917,1.1190651e-7,0.6450643,0.000005724142,0.00003753579,0.00031489137,0.00004100217,0.000038410475,0.000006331815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978552,0.00012635489,0.00092252536,0.00029878522,0.00043965288,0.00035751183],"domain_scores_gemma":[0.9938778,0.0054245666,0.00018955118,0.0002210028,0.00019859476,0.000088462795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014887725,0.00023036599,0.0005520842,0.0002165637,0.00004724555,0.000028474928,0.00015055496,0.0000995118,0.00008738429],"category_scores_gemma":[0.0014735548,0.00019930043,0.00006694071,0.00029324248,0.00008576806,0.000094139075,0.000028667022,0.00018458242,0.0000033638926],"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":[0.000028769655,0.00044940884,0.000019109988,0.00081083376,0.000022083137,0.0000013276426,0.00012723515,0.628416,0.0007068904,0.36925632,0.000032855864,0.0001291328],"study_design_scores_gemma":[0.0012302254,0.0000909693,0.00002054904,0.00018138984,0.000031655243,0.000004342216,0.000018318538,0.5427556,0.0005340029,0.45499212,0.000007996733,0.00013284384],"about_ca_topic_score_codex":0.000013973681,"about_ca_topic_score_gemma":0.0000015058682,"teacher_disagreement_score":0.3489755,"about_ca_system_score_codex":0.00009819603,"about_ca_system_score_gemma":0.000035712575,"threshold_uncertainty_score":0.8127235},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009520576,0.00023406699,0.9976047,0.00006516221,0.000042884258,0.000183606,4.6105473e-7,0.00009121356,0.0008258259],"genre_scores_gemma":[0.9619319,0.000005025682,0.03791464,0.000007131679,0.000024253517,0.000057533543,0.0000013060959,0.000013040482,0.00004516202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989303,0.00004023813,0.0004213341,0.00021765627,0.00013735509,0.00025314148],"domain_scores_gemma":[0.9991266,0.00040393876,0.00006678673,0.00032234538,0.000015475769,0.000064851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042264146,0.00013171132,0.00032303325,0.00021171905,0.000015210766,0.000043911994,0.00032536575,0.000065203836,0.0000030494446],"category_scores_gemma":[0.000029482479,0.0001212657,0.000024811747,0.00053706096,0.000030891297,0.000083903775,0.000078247234,0.00013460837,0.0000014597905],"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":[4.3703955e-7,0.00001673843,0.000036533358,0.00010229829,0.0000029810847,2.3798164e-7,0.00009243814,0.63534385,0.00011332839,0.35930732,0.0000024184862,0.004981419],"study_design_scores_gemma":[0.00037552093,0.000017400927,0.00021583452,0.00021829558,0.0000026759194,0.0000052488813,0.000005918303,0.9893713,0.0000052060946,0.009514534,0.00015406465,0.00011400259],"about_ca_topic_score_codex":0.000012369922,"about_ca_topic_score_gemma":0.0000090180065,"teacher_disagreement_score":0.9609799,"about_ca_system_score_codex":0.000031744705,"about_ca_system_score_gemma":0.0000055837686,"threshold_uncertainty_score":0.49450716},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009294027,0.000027358039,0.9961023,0.00023123404,0.00007936752,0.0020976018,0.0000029401174,0.00022913105,0.0011371546],"genre_scores_gemma":[0.2875845,0.0000072029716,0.71103173,0.000040962736,0.000030243747,0.0010188895,0.000007960646,0.00004438016,0.00023413393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997706,0.00006531544,0.0006145473,0.00048408442,0.00055098033,0.000579052],"domain_scores_gemma":[0.99818856,0.00075350533,0.000061528,0.00056298403,0.00025440435,0.00017899787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011245632,0.00022889217,0.00030656817,0.00037725372,0.000054632175,0.00036724322,0.00081156986,0.00011775655,0.0001501982],"category_scores_gemma":[0.0006901482,0.00020997917,0.000058777307,0.0006382786,0.000040578063,0.00041715943,0.00013395086,0.00031877437,0.00007519022],"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":[0.0000011793533,0.00015931045,0.0000047817693,0.00065053196,0.000006263726,0.0000013130128,0.00016485753,0.9817041,0.00007099556,0.014138484,0.000042102605,0.0030560617],"study_design_scores_gemma":[0.00026660773,0.00016299267,0.000005890815,0.00023322685,0.000001924101,0.0000026252685,0.0000152452385,0.99387074,0.0005904148,0.004588824,0.000041452775,0.00022003507],"about_ca_topic_score_codex":0.0000061741985,"about_ca_topic_score_gemma":2.9233402e-7,"teacher_disagreement_score":0.28749156,"about_ca_system_score_codex":0.000112468675,"about_ca_system_score_gemma":0.00007963784,"threshold_uncertainty_score":0.85627025},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6394766,0.00018624916,0.31542945,0.0005740451,0.00020346041,0.00015352588,0.00004247538,0.00014446425,0.043789696],"genre_scores_gemma":[0.9723588,0.000055310975,0.024920091,0.00046365894,0.00025033535,0.0014449192,0.00023958147,0.00021692908,0.000050338265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955824,0.0001223164,0.0012991704,0.0007766736,0.0010092062,0.0012102243],"domain_scores_gemma":[0.9974523,0.00044214813,0.0007053793,0.00078818796,0.000041902458,0.00057005876],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019583,0.00038806756,0.00024209399,0.00011251612,0.00045904238,0.00029313445,0.00069362606,0.00086157024,0.026235536],"category_scores_gemma":[0.0014412687,0.00062935933,0.00032052645,0.00068864645,0.00031951888,0.000817485,0.0006103364,0.00071485835,0.00039434075],"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":[0.00018699128,0.00034625936,0.00005300366,0.0036159868,0.00015278357,0.000023537314,0.005938176,0.5351727,0.01692771,0.42387238,0.009292059,0.004418402],"study_design_scores_gemma":[0.00057344674,0.00028314503,0.00013436213,0.0008370867,0.000090493515,0.00007834234,0.0004991912,0.78855485,0.20786072,0.00038963044,0.00022111725,0.00047762514],"about_ca_topic_score_codex":0.0013172459,"about_ca_topic_score_gemma":0.00030356343,"teacher_disagreement_score":0.42348275,"about_ca_system_score_codex":0.000045433877,"about_ca_system_score_gemma":0.00020147381,"threshold_uncertainty_score":0.9996158},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000448216,0.000023665827,0.9946225,0.000043775843,0.00014562593,0.00023777962,0.000003316651,0.00035538358,0.004119685],"genre_scores_gemma":[0.94350296,0.0000028644058,0.05614582,0.00006452805,0.00009323504,0.000054196702,0.000012295345,0.000088181034,0.000035924146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890214,0.00001827162,0.0003148652,0.0001986374,0.00022203417,0.00034404892],"domain_scores_gemma":[0.9994193,0.00018282041,0.00001907253,0.00026645113,0.000022483493,0.00008991434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022577909,0.00024344586,0.00026810827,0.00018755412,0.000021616697,0.000034238186,0.00012922911,0.00014872724,0.000051382005],"category_scores_gemma":[0.000089466026,0.00022749635,0.000060689952,0.00024079104,0.000014928679,0.00006177497,0.00001528572,0.00033438604,0.000057538648],"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":[0.0000011705448,0.00003971448,0.000007457967,0.0002907467,0.000007720548,0.0000032427688,0.000092170776,0.9891544,0.0002837775,0.0075181243,0.00012194514,0.0024795292],"study_design_scores_gemma":[0.00033087877,0.0000581065,0.000036280442,0.0004159002,0.0000069565453,0.0000022082663,0.0000047702374,0.9943044,0.0005007105,0.0036063506,0.00046754637,0.0002658652],"about_ca_topic_score_codex":0.000001221248,"about_ca_topic_score_gemma":9.782029e-7,"teacher_disagreement_score":0.94305474,"about_ca_system_score_codex":0.000082750674,"about_ca_system_score_gemma":0.0000046997957,"threshold_uncertainty_score":0.92770314},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08003521,0.000007071225,0.9179697,0.000063756095,0.000012943644,0.00021140679,0.0000027618808,0.000029838304,0.0016673148],"genre_scores_gemma":[0.8443103,1.9412039e-7,0.15560435,0.000016522989,0.000008608093,0.000029214709,0.000010905894,0.000012956733,0.000006945125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982757,0.00025185026,0.00038965102,0.0003143065,0.000548824,0.0002196832],"domain_scores_gemma":[0.9988108,0.00043763788,0.00008795973,0.00059246324,0.000018877226,0.00005225705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007595222,0.00012764962,0.0002718321,0.000055067965,0.00002774496,0.000011353904,0.00029626695,0.000076063785,0.00031985418],"category_scores_gemma":[0.00089044,0.000096201475,0.000027546737,0.00024473606,0.000051729752,0.00016913736,0.00015032465,0.00015546783,0.00003098259],"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":[0.0000066936113,0.0000805555,0.004261983,0.00009780885,0.000020412303,3.2979588e-7,0.00020067171,0.9890205,0.004601943,0.00037497122,0.0000034806299,0.001330637],"study_design_scores_gemma":[0.00052382064,0.000025542045,0.0035212429,0.00007890219,0.00008904936,0.0000010805437,0.000006607931,0.9917499,0.001021449,0.0027937826,0.000059345555,0.00012927089],"about_ca_topic_score_codex":0.00021416623,"about_ca_topic_score_gemma":0.00024875265,"teacher_disagreement_score":0.7642751,"about_ca_system_score_codex":0.00007389132,"about_ca_system_score_gemma":0.000010663634,"threshold_uncertainty_score":0.39229822},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13169561,0.000014749631,0.8646549,0.00023810654,0.000009676718,0.00029360075,0.0000022394274,0.00006821789,0.0030229092],"genre_scores_gemma":[0.9265092,0.000001183938,0.07264642,0.00006805721,0.000020831394,0.00018662815,0.000002226317,0.000015701558,0.0005497389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911934,0.000005700913,0.00024139104,0.0002154047,0.00013000894,0.00028813398],"domain_scores_gemma":[0.99970025,0.000060550447,0.000024238841,0.00014533171,0.0000036128301,0.00006604271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023646548,0.000121604906,0.00018192992,0.00004336233,0.000030799125,0.000010656972,0.00015613026,0.00008376475,0.00045228892],"category_scores_gemma":[0.00011352474,0.00010814297,0.00006169826,0.00015340895,0.00004297617,0.00014009922,0.000052871677,0.00010530864,0.00020470083],"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":[0.000004359924,0.00007274793,0.00007840067,0.00007923829,0.000008476684,0.0000010473194,0.0017733854,0.9963589,0.00065022847,0.0004814826,0.000042587733,0.00044919693],"study_design_scores_gemma":[0.00025642224,0.000015151915,0.0000091153315,0.000033615856,0.000013361499,0.00000527475,0.000004702124,0.93778604,0.0002387169,0.061422113,0.00008902171,0.00012648857],"about_ca_topic_score_codex":0.0000056847866,"about_ca_topic_score_gemma":0.000027699716,"teacher_disagreement_score":0.7948136,"about_ca_system_score_codex":0.00006822515,"about_ca_system_score_gemma":0.0000049119267,"threshold_uncertainty_score":0.49522465},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010752411,0.00007905003,0.98274064,0.00046494365,0.00006989714,0.00072400644,5.9478594e-7,0.00049817,0.0046702735],"genre_scores_gemma":[0.48246738,0.000005514736,0.51711774,0.000029988309,0.000013909172,0.00029928712,0.0000012427512,0.000023281302,0.000041649608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978507,0.000038839098,0.000698659,0.00036402539,0.00045598438,0.0005917918],"domain_scores_gemma":[0.999229,0.00009887067,0.00005841409,0.00044953596,0.000033214223,0.00013097927],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014783703,0.0002585671,0.00037051286,0.00030277527,0.000017118735,0.000111847614,0.0007213895,0.000079694,0.000032287917],"category_scores_gemma":[0.00009994655,0.0002506452,0.000049659473,0.00058006094,0.000032036398,0.0007086627,0.00017421902,0.00029389712,0.000070061185],"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":[0.000016903212,0.0040494213,0.000257868,0.010273928,0.00011704622,0.0007588432,0.05623195,0.04305137,0.14063396,0.50759757,0.002639497,0.23437163],"study_design_scores_gemma":[0.00070679624,0.000113034235,0.00003616519,0.0008114582,0.0000024811152,0.00002062249,0.000048593334,0.8290853,0.021320129,0.14707604,0.00035679052,0.00042261468],"about_ca_topic_score_codex":0.000013401,"about_ca_topic_score_gemma":0.000011236189,"teacher_disagreement_score":0.7860339,"about_ca_system_score_codex":0.00038377932,"about_ca_system_score_gemma":0.000051974308,"threshold_uncertainty_score":0.9999946},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84670055,0.00007051333,0.15266763,0.000030919582,0.000029900353,0.0003655698,0.000005107776,0.000041870542,0.00008794274],"genre_scores_gemma":[0.95718914,7.958092e-7,0.04268801,0.000012450083,0.00005235523,0.000028719627,0.000007570199,0.0000072967755,0.000013637783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989289,0.00002850331,0.00016260897,0.00030066428,0.00017932121,0.00039996888],"domain_scores_gemma":[0.9994684,0.00013138555,0.00002884435,0.00011255042,0.000025697542,0.00023316346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022574815,0.00017605702,0.0002700837,0.00009569668,0.00004900808,0.00006207532,0.00011519068,0.000069056754,0.0000043825967],"category_scores_gemma":[0.00014865868,0.0001244037,0.000017659122,0.00028390242,0.000017359824,0.00014457383,0.000014403208,0.00019620122,9.944438e-7],"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":[0.000024982995,0.000048974962,0.0020010993,0.00043458032,0.000007962683,9.077398e-7,0.0006947424,0.98431724,0.00059329154,0.00042776452,8.596886e-7,0.011447608],"study_design_scores_gemma":[0.0003386057,0.00037380017,0.019725496,0.000043526157,0.000008616188,0.000008524572,0.000016979115,0.96625525,0.00034699278,0.012667974,0.0000019650297,0.00021224488],"about_ca_topic_score_codex":0.00008854522,"about_ca_topic_score_gemma":0.000055863595,"teacher_disagreement_score":0.110488616,"about_ca_system_score_codex":0.0000052597675,"about_ca_system_score_gemma":0.000011484391,"threshold_uncertainty_score":0.5073036},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015634488,0.000048707567,0.9834294,0.00006155201,0.000094082134,0.0005595097,0.0000012837318,0.00011001755,0.000061000148],"genre_scores_gemma":[0.5015287,2.7976702e-7,0.49838558,0.0000048467978,0.0000048910683,0.000065337284,4.3826145e-7,0.0000063926077,0.0000035295905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869317,0.00002704721,0.0004847164,0.0003220843,0.00016749262,0.00030550532],"domain_scores_gemma":[0.9987471,0.0007183723,0.000078972545,0.0003430615,0.00003552845,0.00007693553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013502303,0.00015860998,0.000551614,0.0002599667,0.000027899734,0.000052178773,0.00034250077,0.00009788921,0.0000026028304],"category_scores_gemma":[0.00058685674,0.00013835484,0.00012260348,0.00055605796,0.000027592107,0.00015277085,0.00009637958,0.00019128324,9.754187e-7],"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":[0.0000029059372,0.00011010785,0.00023632006,0.0002617,0.00023285096,0.000004295866,0.0013217081,0.95847523,0.014619321,0.021951687,0.0000016578944,0.0027822352],"study_design_scores_gemma":[0.00039278046,0.000041107694,0.0005922465,0.000043313525,0.000078834164,0.0000030829033,0.0000058375167,0.97963345,0.00029936392,0.018766016,0.0000020037978,0.00014198918],"about_ca_topic_score_codex":0.0000054027687,"about_ca_topic_score_gemma":5.2788835e-7,"teacher_disagreement_score":0.4858942,"about_ca_system_score_codex":0.00002745538,"about_ca_system_score_gemma":0.000021395635,"threshold_uncertainty_score":0.5641947},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29374483,0.0023879453,0.49180663,0.00047285942,0.0003213661,0.0005307005,0.000015422904,0.00021051003,0.21050973],"genre_scores_gemma":[0.99604523,0.00003071441,0.0035870173,0.000054081254,0.000040366613,0.000031470594,0.0000016312689,0.000020419304,0.00018903802],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991509,0.000009121623,0.00037956188,0.00020656853,0.000025681293,0.00022817054],"domain_scores_gemma":[0.99952954,0.00019346635,0.00006886292,0.00015747803,0.0000047256303,0.000045946985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012071312,0.00012055729,0.00027745857,0.00011594368,0.000017077393,0.000065753855,0.000104470826,0.00006801096,0.00008657987],"category_scores_gemma":[0.00046164455,0.00011890576,0.000028404911,0.000107972395,0.000036850648,0.00019062137,0.000055380904,0.000119503195,0.00005312624],"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":[0.0000015200684,0.000022591794,0.00081579364,0.00034504564,0.0000053488843,4.601178e-7,0.00016730525,0.0013123346,0.00005953859,0.997093,0.000045733897,0.00013127687],"study_design_scores_gemma":[0.0001852122,0.000041265666,0.0029456527,0.00011864292,0.0000016938915,0.000002855346,0.00001256377,0.06592384,0.000026715375,0.9270246,0.003531078,0.00018587412],"about_ca_topic_score_codex":0.0000047886388,"about_ca_topic_score_gemma":6.6077536e-7,"teacher_disagreement_score":0.7023004,"about_ca_system_score_codex":0.000020883175,"about_ca_system_score_gemma":0.0000026083767,"threshold_uncertainty_score":0.4848836},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11095332,0.000063725725,0.88789946,0.000052211002,0.00006966428,0.00060837035,0.0000076296,0.0000693096,0.00027632207],"genre_scores_gemma":[0.518598,0.0000013277809,0.48129007,0.000005701206,0.000021578535,0.00004562148,0.000002211443,0.00002237994,0.000013106042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961503,0.0003237846,0.0013426159,0.00072303304,0.00091337,0.00054690277],"domain_scores_gemma":[0.99035674,0.008265644,0.0003366821,0.0005763803,0.00028320416,0.00018132995],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01328998,0.00032288174,0.0011767795,0.0018097805,0.0000826897,0.00018649791,0.0002745289,0.00017354851,0.000014135596],"category_scores_gemma":[0.009055504,0.00024497724,0.00024205881,0.003739255,0.00011499588,0.00033255882,0.00017132323,0.00026488086,0.000004285958],"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":[0.00007341237,0.0002528884,0.00086245046,0.0005703584,0.00035652408,0.0000058866844,0.0015573178,0.8127398,0.010381634,0.016849251,0.000008713384,0.15634176],"study_design_scores_gemma":[0.0007287655,0.00011915976,0.0008158079,0.00016932302,0.00024873103,0.000020777341,0.00012963095,0.9882197,0.0005210434,0.008530819,0.00020049134,0.00029578415],"about_ca_topic_score_codex":0.00001706623,"about_ca_topic_score_gemma":0.000019134595,"teacher_disagreement_score":0.40764466,"about_ca_system_score_codex":0.0000646725,"about_ca_system_score_gemma":0.000021203601,"threshold_uncertainty_score":0.99929166},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075034047,0.000016309123,0.9906222,0.0001499146,0.00021687467,0.0007755049,0.0000010091701,0.00030903623,0.00040571846],"genre_scores_gemma":[0.9747399,0.0000019443498,0.024884466,0.00010507191,0.000034608613,0.0002050402,0.0000034845818,0.000023496035,0.0000020046475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998223,0.00011478093,0.00049964443,0.00047705809,0.00026844538,0.0004170485],"domain_scores_gemma":[0.99888873,0.0002935087,0.000062983236,0.00060374103,0.000043727152,0.000107321226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080006436,0.000250182,0.00028044378,0.00011766775,0.000043022777,0.000056404177,0.00044389634,0.00015217184,0.00009129244],"category_scores_gemma":[0.00015227728,0.00021650452,0.000072571595,0.00042141133,0.000040947205,0.00020165634,0.000098419885,0.0005120908,0.000014816684],"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":[0.000053334144,0.00079312554,0.00030972212,0.000433353,0.0000072689563,0.000015244435,0.0011504842,0.9677921,0.00035799042,0.020186795,0.000019840068,0.008880747],"study_design_scores_gemma":[0.000200076,0.00038402271,0.00014465551,0.00028217005,0.0000024393796,0.0000040293066,0.0000035027008,0.99270207,0.0007350306,0.0053032325,0.000010858745,0.00022790847],"about_ca_topic_score_codex":0.000003873061,"about_ca_topic_score_gemma":0.0000037980114,"teacher_disagreement_score":0.96723646,"about_ca_system_score_codex":0.00014538456,"about_ca_system_score_gemma":0.000013603692,"threshold_uncertainty_score":0.8828798},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728741,0.0008384262,0.021384347,0.00020549452,0.0004823363,0.0021331853,0.000019542165,0.0006522706,0.0014103004],"genre_scores_gemma":[0.9988221,0.000019024994,0.0004930669,0.000032303924,0.00003552896,0.00028462135,0.000010100181,0.00008178384,0.00022147571],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981898,0.00002243833,0.00071027473,0.00027225402,0.00020025739,0.0006049425],"domain_scores_gemma":[0.9993882,0.00008290362,0.0000399894,0.0002868957,0.000038163656,0.00016383186],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019839138,0.0003411771,0.0005428385,0.00016548872,0.000017073531,0.0000545014,0.0002120852,0.00022631507,0.00029537285],"category_scores_gemma":[0.00008008998,0.00027454985,0.000060098795,0.00025764902,0.000027746586,0.00018859075,0.000046818775,0.0005023412,0.00007551651],"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":[0.0000061988762,0.00006065641,0.00010059679,0.00084348576,0.0000256882,0.000011287093,0.00037236704,0.064075984,0.9332047,0.00015633013,0.00083583297,0.0003068855],"study_design_scores_gemma":[0.0034066178,0.00018254762,0.00040325298,0.0017929466,0.00003380845,0.00004082105,0.00023608614,0.9265223,0.063898176,0.0015410066,0.0007704734,0.0011719248],"about_ca_topic_score_codex":0.000065051754,"about_ca_topic_score_gemma":0.000009824562,"teacher_disagreement_score":0.8693065,"about_ca_system_score_codex":0.00019758072,"about_ca_system_score_gemma":0.000010372413,"threshold_uncertainty_score":0.9999707},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007316689,0.0000142502695,0.99055034,0.00029185202,0.0003592543,0.00035421277,0.0000020171426,0.0002218236,0.00088956056],"genre_scores_gemma":[0.8326662,8.196171e-7,0.16672716,0.000038037324,0.00006985796,0.0002442313,0.000005144869,0.000022984248,0.00022558156],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903286,0.000008730262,0.00027645828,0.00025507403,0.00013497386,0.00029190234],"domain_scores_gemma":[0.9992646,0.00023876257,0.000039669394,0.000317701,0.000043316428,0.00009595209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003775169,0.0001448083,0.00018168276,0.00013394015,0.000036507867,0.000056375888,0.00037261512,0.00011621181,0.00005487776],"category_scores_gemma":[0.00017617253,0.00011618921,0.00006463103,0.00019055474,0.000014763002,0.00021906283,0.00008947296,0.00024672525,0.000089214984],"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":[0.000024901572,0.0018628383,0.00028666068,0.009005353,0.000038225135,0.00003439146,0.004350627,0.028428923,0.6670239,0.21338959,0.0061465674,0.06940805],"study_design_scores_gemma":[0.00047378035,0.00004755447,0.00004362422,0.00038994176,0.0000029255145,0.000007365792,0.000003818919,0.9615738,0.017908236,0.017378116,0.0019659437,0.00020491127],"about_ca_topic_score_codex":0.0000016717984,"about_ca_topic_score_gemma":0.0000039707375,"teacher_disagreement_score":0.93314487,"about_ca_system_score_codex":0.000018095305,"about_ca_system_score_gemma":0.000028223021,"threshold_uncertainty_score":0.47380584},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017074253,0.000035603163,0.98158556,0.000050713134,0.000005746939,0.0009030641,5.6313564e-7,0.00003677309,0.00030774588],"genre_scores_gemma":[0.8625234,8.7412946e-7,0.1365225,0.0000048645124,0.000032854543,0.00086569536,0.0000056740537,0.000015789634,0.000028401211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999267,0.000018875293,0.00027209893,0.00018875404,0.00006183899,0.0001914785],"domain_scores_gemma":[0.9995672,0.00027494473,0.000040339084,0.00006717275,0.000015878897,0.00003445826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035097275,0.00011504411,0.00018390075,0.00011524937,0.000038018694,0.000022799488,0.000044504282,0.000042941625,0.000017249655],"category_scores_gemma":[0.000008693342,0.00011680332,0.000028253602,0.00014962514,0.000008104172,0.00008547962,0.0000788224,0.00013508285,0.0000028631125],"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":[0.0000049510404,0.00012925919,0.007003367,0.00073203596,0.000062336025,3.2631766e-7,0.00093693443,0.71617633,0.0005950477,0.25034866,0.000043232296,0.023967486],"study_design_scores_gemma":[0.0002842827,0.0000033627612,0.002779185,0.000091337926,0.000013167,3.5626547e-7,0.000046901183,0.97607386,0.0000132291825,0.020548563,0.000028412584,0.00011733439],"about_ca_topic_score_codex":0.00002248033,"about_ca_topic_score_gemma":0.0000051717784,"teacher_disagreement_score":0.8454491,"about_ca_system_score_codex":0.000025955575,"about_ca_system_score_gemma":0.00000134985,"threshold_uncertainty_score":0.4763101},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008218007,0.000090723326,0.9908387,0.00012339606,0.000043134394,0.00046653897,0.0000020178986,0.0001279311,0.00008952409],"genre_scores_gemma":[0.75102097,0.0000013470495,0.24881953,0.000008153083,0.000011632431,0.00010551708,0.0000011098139,0.000016163849,0.00001554674],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988851,0.000009672436,0.00043199633,0.0002138993,0.00017227612,0.00028705897],"domain_scores_gemma":[0.99946713,0.00011747611,0.00007659946,0.00025478404,0.000041472096,0.000042550942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032054124,0.00012544332,0.00020055767,0.0001379336,0.000021143913,0.000058966583,0.0003626326,0.000039635528,0.000037694197],"category_scores_gemma":[0.00008781005,0.000119866694,0.0000495161,0.00024241494,0.000015349518,0.00039495452,0.000105398685,0.00008006343,0.00001430457],"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":[0.000006056377,0.0016390177,0.00018190949,0.03523586,0.00012645408,0.000056178316,0.056360148,0.14974889,0.3858812,0.25720084,0.0008452093,0.11271825],"study_design_scores_gemma":[0.00039019904,0.0000322344,0.00001830689,0.00021000252,0.000004155292,0.000009229332,0.000035138124,0.9781789,0.013171495,0.0077915504,0.000027927093,0.00013085052],"about_ca_topic_score_codex":0.0000026264454,"about_ca_topic_score_gemma":0.0000010457946,"teacher_disagreement_score":0.82843,"about_ca_system_score_codex":0.000034344852,"about_ca_system_score_gemma":0.0000069731145,"threshold_uncertainty_score":0.4888022},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18775478,0.0003525933,0.811424,0.000027028114,0.000045796427,0.00029342494,0.000017806067,0.000017646624,0.00006690487],"genre_scores_gemma":[0.9585653,0.00000994596,0.041224692,0.0000045306674,0.000027642085,0.00014456014,0.0000014259983,0.000017760647,0.000004139036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988669,8.05228e-7,0.0006185738,0.00025411198,0.000027497448,0.0002320682],"domain_scores_gemma":[0.9995515,0.00018642317,0.00006439135,0.00013228226,0.0000207674,0.000044688775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005123589,0.00013134062,0.00037620342,0.00016030611,0.000023457611,0.00001840681,0.00008484357,0.000117105345,0.0000040655937],"category_scores_gemma":[0.0007653044,0.00015530035,0.00002715613,0.00018713821,0.00003408194,0.00012445693,0.000052505544,0.00023529911,5.172741e-7],"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":[0.0000057267325,0.000054636424,0.0015888499,0.0019471518,0.0000048560087,2.808342e-7,0.00094814476,0.12577975,0.0004998826,0.8683753,4.6488913e-7,0.0007949265],"study_design_scores_gemma":[0.00022727603,0.000013131475,0.0009722382,0.00013092045,0.0000017634493,0.0000019794434,0.000013476861,0.78382283,0.000024290872,0.21465658,0.000018584213,0.00011692416],"about_ca_topic_score_codex":0.000059848408,"about_ca_topic_score_gemma":0.000030894364,"teacher_disagreement_score":0.77081054,"about_ca_system_score_codex":0.00002622969,"about_ca_system_score_gemma":0.0000122224765,"threshold_uncertainty_score":0.6332965},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2365382,0.0000812771,0.7584725,0.0008596173,0.000096569325,0.0024207367,9.637624e-7,0.00022951227,0.0013006454],"genre_scores_gemma":[0.99418867,0.0000021164035,0.004622888,0.00020164308,0.00020433821,0.0005596368,0.000011733352,0.000047722682,0.00016123365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893355,0.000003903902,0.00027746134,0.00028702908,0.0001976128,0.00030041073],"domain_scores_gemma":[0.9996514,0.00002203609,0.00006471016,0.00019652247,0.000038714545,0.000026665695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035552104,0.00018855237,0.00019582041,0.00019224863,0.000058353875,0.00024732112,0.00012661704,0.000057048084,0.00004707031],"category_scores_gemma":[0.00004691253,0.00016008836,0.000019581828,0.00014910915,0.000026274494,0.0012979943,0.00005598026,0.000106608306,0.000010557467],"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":[0.00000765041,0.00016164675,0.0009127709,0.0031218815,0.00002427708,8.010745e-7,0.0004010626,0.9598174,0.0011689082,0.033370893,0.0006744104,0.00033829955],"study_design_scores_gemma":[0.00054301124,0.000023834838,0.00046543585,0.00016186944,0.000021742973,0.0000011276156,0.0001193855,0.9779424,0.000032767657,0.020122861,0.00034124934,0.00022432405],"about_ca_topic_score_codex":0.00002219905,"about_ca_topic_score_gemma":0.0000100709685,"teacher_disagreement_score":0.7576505,"about_ca_system_score_codex":0.00004636668,"about_ca_system_score_gemma":0.000007830913,"threshold_uncertainty_score":0.65282136},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030386938,0.000021794734,0.96281797,0.00009687425,0.00007869076,0.0016693883,5.5217697e-7,0.0009616266,0.003966173],"genre_scores_gemma":[0.8579504,0.0000016845216,0.14062026,0.000026973095,0.000035799472,0.0012194386,0.0000045711513,0.000077968936,0.00006291959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984505,0.00000875884,0.0005134041,0.00024248229,0.0002160308,0.00056881533],"domain_scores_gemma":[0.9994339,0.000096644704,0.000016440905,0.0002288934,0.000043799253,0.00018032026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027114234,0.00026092102,0.0003007266,0.0002571657,0.00003560343,0.00014062595,0.00017927132,0.00011523471,0.00018471302],"category_scores_gemma":[0.00010524959,0.00020965717,0.000046112757,0.00032623817,0.00002053834,0.00018936465,0.000070331975,0.00023487212,0.00065549655],"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":[8.785506e-7,0.00007898388,0.000009150606,0.00093083695,0.00002075793,7.8410267e-7,0.004510041,0.96527416,0.013917057,0.0023813893,0.000040455558,0.012835516],"study_design_scores_gemma":[0.0003869671,0.000030891733,0.000059487425,0.00033263527,0.000011274343,0.0000057525804,0.00025201592,0.9825677,0.0072590658,0.0070531787,0.0014881948,0.0005528205],"about_ca_topic_score_codex":0.0000055832948,"about_ca_topic_score_gemma":0.0000016886531,"teacher_disagreement_score":0.82756346,"about_ca_system_score_codex":0.00011114163,"about_ca_system_score_gemma":0.0000025979768,"threshold_uncertainty_score":0.85495716},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034391854,0.00008713806,0.9936288,0.000022210852,0.00001736894,0.0022695845,0.0000011201513,0.00036334927,0.00017122374],"genre_scores_gemma":[0.26793474,0.0000058498144,0.7304836,0.0000062035538,0.00002899871,0.0014201158,0.000025283285,0.000072263094,0.000022996313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988962,0.000008978525,0.00034875426,0.00023268978,0.00014824411,0.00036514207],"domain_scores_gemma":[0.9996324,0.00005886651,0.000034201483,0.00015608828,0.000040165374,0.00007824698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015887273,0.00024138004,0.00024766952,0.0001740963,0.000036256348,0.00013317374,0.00010580169,0.000082809354,0.000012843429],"category_scores_gemma":[0.000027479347,0.00020184915,0.000028583549,0.00026215674,0.00002679272,0.00017436573,0.00002286671,0.0001247005,0.0000022592346],"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":[0.0000017248612,0.00004732355,0.000077543904,0.0031631412,0.000021633436,4.1280396e-7,0.00030262762,0.9948396,0.000037265792,0.00011297675,0.0000067275987,0.0013890201],"study_design_scores_gemma":[0.0006393399,0.00007234256,0.000017698814,0.0002417118,0.000021876367,0.0000026376188,0.000035941397,0.99840826,0.000027682654,0.00016336782,0.00009489344,0.00027424438],"about_ca_topic_score_codex":0.0000070676647,"about_ca_topic_score_gemma":0.000001441548,"teacher_disagreement_score":0.26449555,"about_ca_system_score_codex":0.000050468614,"about_ca_system_score_gemma":0.0000045745164,"threshold_uncertainty_score":0.82311696},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12096094,0.00008820263,0.8756173,0.000014940692,0.000092284936,0.00045916636,3.5325908e-7,0.00097587996,0.0017909146],"genre_scores_gemma":[0.89389867,0.0000054822494,0.10591503,0.000007017503,0.000029933168,0.00006498234,0.0000016520115,0.000062992556,0.000014226168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998922,0.000006811534,0.00038141737,0.00016564256,0.00015563495,0.00036850403],"domain_scores_gemma":[0.99955094,0.00004933887,0.000025712181,0.00026683364,0.00002451342,0.00008264452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121194396,0.00022054995,0.0002585458,0.00019203218,0.000023583934,0.00008075235,0.00014279713,0.00011436656,0.00009234122],"category_scores_gemma":[0.000027204504,0.00022138849,0.000046858164,0.00024245946,0.000019234487,0.00028266766,0.00004399799,0.00023355133,0.00007285722],"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":[4.6260885e-7,0.00002024315,0.000032754215,0.00022925215,0.000010803774,0.000003852633,0.00018210552,0.9809524,0.016321931,0.0013272882,0.00008521609,0.00083369017],"study_design_scores_gemma":[0.00018513441,0.00000871373,0.000044605644,0.0004979129,0.0000075292173,0.000022757164,0.000012439656,0.9781425,0.009640061,0.011154137,0.000035284298,0.00024894183],"about_ca_topic_score_codex":0.000027506814,"about_ca_topic_score_gemma":0.0000013730348,"teacher_disagreement_score":0.7729377,"about_ca_system_score_codex":0.00010795892,"about_ca_system_score_gemma":0.000006099141,"threshold_uncertainty_score":0.90279603},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012278534,0.000074848445,0.99660367,0.00043039376,0.00040544555,0.0007720568,0.0000015411969,0.00022436283,0.00025983897],"genre_scores_gemma":[0.70747614,0.0000016578132,0.29216552,0.00007132766,0.00017613168,0.00006377328,0.0000027813958,0.000020976251,0.000021685953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980018,0.000029565928,0.00065518444,0.00036307384,0.00019466216,0.00075570965],"domain_scores_gemma":[0.9986229,0.0008228825,0.00006501439,0.00032178554,0.000045467263,0.00012194763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016255153,0.00023166336,0.00042962952,0.00013908467,0.000031832697,0.00008696029,0.00048672233,0.00014730763,0.000009320747],"category_scores_gemma":[0.000068887835,0.00022764369,0.000089453686,0.0004233173,0.000021103497,0.00017466053,0.00007893126,0.0002900762,0.0000114074555],"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":[0.000014397375,0.000068558824,0.00015754132,0.000119480355,0.000013304059,0.000011513175,0.000089174035,0.89038724,0.00000900364,0.06533135,0.00008750297,0.04371091],"study_design_scores_gemma":[0.001768133,0.00007610622,0.00030691913,0.000250554,0.0000051071174,0.000011188507,0.0000034392874,0.98749906,0.0000028716877,0.009757812,0.00007029959,0.00024851644],"about_ca_topic_score_codex":0.0000017685891,"about_ca_topic_score_gemma":0.000048111153,"teacher_disagreement_score":0.7062483,"about_ca_system_score_codex":0.00019687263,"about_ca_system_score_gemma":0.000019212255,"threshold_uncertainty_score":0.928304},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013985569,0.000042549003,0.98507416,0.000013877881,0.000062807834,0.0005628411,6.8622796e-7,0.00014630632,0.000111181886],"genre_scores_gemma":[0.89077353,0.0000017611911,0.109084666,0.000010730308,0.000029032048,0.00006427759,0.0000068443,0.000023254795,0.0000059107833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987761,0.000027066157,0.0004262648,0.0002886249,0.00016181624,0.00032016958],"domain_scores_gemma":[0.99922246,0.00017883914,0.00009724315,0.00034281224,0.00008486697,0.00007378865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039778516,0.0001684602,0.0002721857,0.0000802726,0.000045572167,0.000043780386,0.0003589931,0.00008404422,0.0000151696695],"category_scores_gemma":[0.000059869002,0.00014414347,0.000036350764,0.00041154632,0.000038497274,0.00056260376,0.00004744918,0.00013403478,0.0000013093904],"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":[0.000008720461,0.00010821473,0.0001965751,0.00030105928,0.000009007405,0.0000011848596,0.00081193587,0.989603,0.0007855401,0.007469439,0.0000017779945,0.00070354855],"study_design_scores_gemma":[0.00033313435,0.00023143207,0.00005858396,0.00016539781,0.000007844077,0.000013338446,0.0000033702268,0.99525243,0.00036329927,0.0033964154,0.0000013685858,0.00017335794],"about_ca_topic_score_codex":0.00000682194,"about_ca_topic_score_gemma":0.0000065060285,"teacher_disagreement_score":0.87678796,"about_ca_system_score_codex":0.00004648287,"about_ca_system_score_gemma":0.000015730879,"threshold_uncertainty_score":0.5878},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008472053,0.00006945595,0.9906354,0.00012103077,0.000116541654,0.00037974928,0.000008004062,0.000047083184,0.00015071318],"genre_scores_gemma":[0.92735595,0.000009062523,0.07249275,0.00005692483,0.00001583775,0.000020654767,0.0000089335235,0.0000063984444,0.000033506443],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927884,0.000047781476,0.00026607566,0.00012819894,0.00011676174,0.00016236615],"domain_scores_gemma":[0.99915797,0.0005832487,0.00006310964,0.00013632045,0.000019221727,0.000040138442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057230983,0.00009725636,0.00016341692,0.00007863372,0.000032874865,0.000021593843,0.0001229999,0.000024797338,0.000040844927],"category_scores_gemma":[0.00040816213,0.000065484965,0.000038229962,0.00010994821,0.000052573087,0.0000735401,0.000015784817,0.00012752751,0.0000036067765],"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":[0.000011694095,0.00014033657,0.003144358,0.0046456363,0.000025755851,1.3982942e-7,0.0009585946,0.45241764,0.0036106638,0.0028186305,0.0008053941,0.5314211],"study_design_scores_gemma":[0.00017238254,0.000035426663,0.00031738565,0.00029696175,0.000007842118,5.224811e-7,0.0000029597238,0.96730214,0.0019441087,0.027931027,0.001905638,0.00008357203],"about_ca_topic_score_codex":0.000020201474,"about_ca_topic_score_gemma":0.000005170663,"teacher_disagreement_score":0.91888386,"about_ca_system_score_codex":0.000004413912,"about_ca_system_score_gemma":0.000010315053,"threshold_uncertainty_score":0.26703992},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05403014,0.00006218965,0.92710954,0.00052033213,0.00016335705,0.0005373218,8.360735e-7,0.00020695732,0.017369317],"genre_scores_gemma":[0.99511015,0.0000025466165,0.0039921147,0.00062430004,0.00007468046,0.0000710777,0.000009033911,0.00002647295,0.000089595764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988086,0.000008429211,0.00037754248,0.00029891197,0.0001750521,0.00033144112],"domain_scores_gemma":[0.9996039,0.00008358181,0.000032129203,0.00020663199,0.000040482737,0.00003323565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059393176,0.00020436535,0.00023976788,0.00030853896,0.00004948702,0.00016626998,0.00013394821,0.00005986235,0.00002400586],"category_scores_gemma":[0.00040201878,0.00019029027,0.000032331598,0.0003786337,0.00003767472,0.00022200916,0.00018853547,0.00015436791,0.000053385753],"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":[0.000003219236,0.00006176932,0.0006179233,0.0011072918,0.000011953276,5.856041e-7,0.00020592232,0.8887515,0.000091111346,0.10864728,0.0002017911,0.0002996492],"study_design_scores_gemma":[0.0002667078,0.000009381833,0.00056819635,0.00034853653,0.000014678213,0.0000016620514,0.00026451223,0.9862274,0.0000025435693,0.010078351,0.001943886,0.0002741401],"about_ca_topic_score_codex":0.00007574233,"about_ca_topic_score_gemma":0.000019158668,"teacher_disagreement_score":0.94108003,"about_ca_system_score_codex":0.000044436714,"about_ca_system_score_gemma":0.0000038065957,"threshold_uncertainty_score":0.7759812},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019047707,0.000015750646,0.9967205,0.00030498888,0.00007413907,0.0003827976,0.0000019094127,0.00030066588,0.0002944919],"genre_scores_gemma":[0.8722341,0.000002479396,0.1275624,0.000063792766,0.000054137898,0.00004159102,0.000002602133,0.000015627225,0.000023235718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986247,0.000041168856,0.00051772466,0.00024667097,0.0002576059,0.0003121355],"domain_scores_gemma":[0.9989385,0.0004950869,0.00009527183,0.0003375494,0.00004618136,0.00008738523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045172335,0.00017823486,0.0003205032,0.00013327804,0.000022640479,0.000048301095,0.00034534803,0.00007714152,0.000020984024],"category_scores_gemma":[0.000040075043,0.0001630714,0.0000577985,0.0002951805,0.000022864706,0.00018051079,0.00003693063,0.00019539404,0.000027749407],"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":[0.00000635929,0.00010479654,0.000012877159,0.000070301314,0.000010400746,0.0000017022677,0.00007251042,0.9481816,0.000058376714,0.0063707586,0.000055495388,0.04505478],"study_design_scores_gemma":[0.0010590825,0.00009107725,0.00013534664,0.00036100645,0.000005922264,0.000002130921,2.735484e-7,0.99747,0.000024409677,0.0006782545,0.00002478453,0.00014769069],"about_ca_topic_score_codex":0.0000011974041,"about_ca_topic_score_gemma":4.3288702e-7,"teacher_disagreement_score":0.8703294,"about_ca_system_score_codex":0.00005893442,"about_ca_system_score_gemma":0.000021063908,"threshold_uncertainty_score":0.66498584},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14516802,0.0024644907,0.85131353,0.000033725006,0.000025366271,0.00043012772,0.0000042096317,0.0004122939,0.0001482073],"genre_scores_gemma":[0.96150243,0.00029097026,0.03797058,0.0000053006383,0.00002142457,0.00014173343,0.000006245115,0.000036764086,0.000024566727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907315,0.0000064344,0.0003726721,0.00020202892,0.00010713214,0.00023858968],"domain_scores_gemma":[0.9989261,0.0008740769,0.000035606223,0.00010078978,0.00001702185,0.000046388446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022137476,0.00018523664,0.00029649577,0.00034201107,0.000026045784,0.000043320666,0.000059765804,0.00007651609,0.0000031155955],"category_scores_gemma":[0.00059759355,0.00017295365,0.00003762065,0.00065405003,0.000028141321,0.00019266001,0.000028523918,0.00015272605,7.9525745e-7],"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":[0.0000028616748,0.00013901359,0.0029546008,0.006601373,0.00003979408,0.0000018711305,0.00012348675,0.97254807,0.0074569704,0.003613184,0.00009725961,0.006421535],"study_design_scores_gemma":[0.00015693149,0.00004165085,0.0009025462,0.00044717884,0.00002581719,0.0000075299713,0.000011290008,0.9754268,0.0010622556,0.021620229,0.00007920756,0.00021855177],"about_ca_topic_score_codex":0.000009264184,"about_ca_topic_score_gemma":0.000003871307,"teacher_disagreement_score":0.81633437,"about_ca_system_score_codex":0.00007664578,"about_ca_system_score_gemma":0.0000013776508,"threshold_uncertainty_score":0.7052845},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13932362,0.00035981598,0.8564997,0.00006738583,0.00050800346,0.0018176865,0.00006106607,0.0009660437,0.0003966828],"genre_scores_gemma":[0.9873592,0.000007190248,0.010850047,0.0000106016105,0.00017026035,0.0014291764,0.000005962124,0.00010966273,0.00005788806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978488,0.000047799018,0.0009032159,0.00031137033,0.00033843223,0.0005503747],"domain_scores_gemma":[0.9972535,0.0020282667,0.000054091863,0.00048650167,0.00005022632,0.00012743856],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00075308426,0.00037258715,0.0007843641,0.0002770137,0.000055679924,0.000041660136,0.00024030173,0.0002140866,0.00001997857],"category_scores_gemma":[0.00084609445,0.00033972104,0.00018773129,0.0002640947,0.000048720136,0.000108249704,0.000017840277,0.0002305688,0.000027225342],"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":[0.000028526263,0.00007263213,0.000059239086,0.0037034964,0.000034860986,0.0000056163985,0.00022684198,0.99118114,0.0016454569,0.0029507184,0.00003628789,0.000055162356],"study_design_scores_gemma":[0.00081039575,0.00007978529,0.000020452568,0.0008025888,0.000016576752,0.000012356877,0.000054671284,0.99607694,0.00076904293,0.0004366427,0.0005355844,0.0003849359],"about_ca_topic_score_codex":0.000012065516,"about_ca_topic_score_gemma":9.131366e-7,"teacher_disagreement_score":0.8480356,"about_ca_system_score_codex":0.00018227402,"about_ca_system_score_gemma":0.000027751516,"threshold_uncertainty_score":0.99990547},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6769508,0.0001924895,0.31946844,0.000037871323,0.00012146996,0.0001868894,0.000008133186,0.00016419061,0.0028697355],"genre_scores_gemma":[0.9960839,0.000010531195,0.0038130435,0.0000052332693,0.000015109582,0.000032382635,0.00000507878,0.00002807225,0.0000066312246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987956,0.000013872526,0.0005466807,0.00015435618,0.00017912276,0.00031035487],"domain_scores_gemma":[0.9992796,0.00040477526,0.000015733769,0.00022028419,0.000015659052,0.00006390041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004211318,0.00016597606,0.0004926182,0.00050962326,0.000006045586,0.000020065314,0.00014375315,0.0000908106,0.00006959806],"category_scores_gemma":[0.00027987777,0.00015527869,0.00007986126,0.00068846217,0.000021069716,0.00008599832,0.000031790794,0.00020773915,0.000010674889],"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":[9.258955e-7,0.00006235256,0.0021957315,0.00076603226,0.00007490998,0.0000031440732,0.0002520911,0.97019804,0.0014708892,0.024858737,0.000005396931,0.00011177295],"study_design_scores_gemma":[0.00016755554,0.000017513516,0.0024228052,0.00019181754,0.000069009795,0.0000012014716,0.0000055037294,0.99423504,0.00012256556,0.002561822,0.000042916246,0.0001622415],"about_ca_topic_score_codex":0.000010850243,"about_ca_topic_score_gemma":0.00004356519,"teacher_disagreement_score":0.31913313,"about_ca_system_score_codex":0.00003865424,"about_ca_system_score_gemma":0.0000027830781,"threshold_uncertainty_score":0.6332081},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10379768,0.000043150794,0.891804,0.000042362317,0.00009173591,0.00022957905,0.000001036124,0.002821556,0.0011689237],"genre_scores_gemma":[0.9321825,0.000013808233,0.06767867,0.000010944418,0.000030902618,0.000041910753,0.0000017165966,0.000036538524,0.000003015945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990947,0.000017446675,0.00031398263,0.00018247837,0.00012476782,0.00026660666],"domain_scores_gemma":[0.9996354,0.00011047144,0.0000210047,0.00013916825,0.000010754339,0.00008321256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004325848,0.00018861383,0.00023638389,0.00016834022,0.00003750231,0.00006444768,0.000070558126,0.000089848,0.000007044327],"category_scores_gemma":[0.00013348418,0.00019989339,0.00003085508,0.00014890874,0.000030565305,0.00019893561,0.00003259973,0.000236435,0.0000052754863],"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":[3.8832383e-7,0.000017542017,0.000011355321,0.0008473252,0.000010614582,0.0000010855105,0.00040581057,0.96500003,0.0009791957,0.0013723662,0.000069172806,0.031285133],"study_design_scores_gemma":[0.0002276304,0.000013645571,0.00023407358,0.00031194274,0.0000087104445,0.000012549399,0.000016098538,0.9970466,0.00033723042,0.001450825,0.00013663243,0.00020404751],"about_ca_topic_score_codex":0.0000026212815,"about_ca_topic_score_gemma":0.0000063433263,"teacher_disagreement_score":0.8283848,"about_ca_system_score_codex":0.000062181185,"about_ca_system_score_gemma":0.0000023934579,"threshold_uncertainty_score":0.81514156},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005511358,0.000074448195,0.99260014,0.00011543008,0.00027444056,0.0006263878,0.0000030432707,0.0005293951,0.00026533852],"genre_scores_gemma":[0.6460545,0.0000030692765,0.35350555,0.00004021566,0.00004323331,0.00018179556,0.0000052800615,0.000044677676,0.00012165775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731374,0.00003884132,0.00067344995,0.0006380587,0.0004110653,0.0009248539],"domain_scores_gemma":[0.9981999,0.0004014882,0.000086403335,0.00082780083,0.00017378926,0.00031064145],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001224776,0.00033196103,0.0004873354,0.00015808869,0.000055727367,0.00008685932,0.000668028,0.00023260969,0.000001935345],"category_scores_gemma":[0.00017164274,0.00031067824,0.00011775858,0.00065564667,0.00004278075,0.00027932212,0.00031656682,0.0003916139,0.000008405172],"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":[0.000005341621,0.00020375503,0.000017319679,0.00018018676,0.00000722243,0.00000413062,0.0011346092,0.95996696,0.000024713052,0.038130164,0.00012356612,0.00020205531],"study_design_scores_gemma":[0.00080657925,0.000046127516,0.0000014997169,0.00027970638,0.000006849861,0.00001124887,0.000053853517,0.99440825,0.000048486465,0.0037420613,0.00023447112,0.0003608914],"about_ca_topic_score_codex":0.000003601345,"about_ca_topic_score_gemma":0.000005853469,"teacher_disagreement_score":0.64054316,"about_ca_system_score_codex":0.00022207266,"about_ca_system_score_gemma":0.00004391876,"threshold_uncertainty_score":0.99993455},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7121535,0.00007037868,0.28628868,0.0002180998,0.00027531496,0.00059276423,0.000033363503,0.00008940178,0.00027851388],"genre_scores_gemma":[0.9968719,0.000008337159,0.0030207934,0.000006965462,0.000024665895,0.000027142625,0.0000035072403,0.000012817272,0.00002387826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985594,0.000035635305,0.00077435566,0.00016700245,0.00026190383,0.0002017151],"domain_scores_gemma":[0.9990772,0.00012697674,0.0003704107,0.00031175942,0.000070138834,0.000043506603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038016753,0.00013020445,0.00030391244,0.00007791115,0.000037032594,0.000009254821,0.00020215247,0.000075589574,0.000029295657],"category_scores_gemma":[0.00050455576,0.00010144689,0.0000683548,0.00027713942,0.00007069015,0.0002888282,0.000050765757,0.00013623829,0.0000029843293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010836126,0.00015251002,0.000009597478,0.00050747185,0.000003008122,1.04579435e-7,0.00052968046,0.0051776418,0.9913742,0.0017074503,0.000019383346,0.0005080979],"study_design_scores_gemma":[0.00025095558,0.000105459585,0.00041029791,0.0004070816,0.000016810898,0.00001097665,0.00015707358,0.04312775,0.9525453,0.0028024141,0.000029038525,0.00013682804],"about_ca_topic_score_codex":0.000020761978,"about_ca_topic_score_gemma":5.233657e-7,"teacher_disagreement_score":0.28471842,"about_ca_system_score_codex":0.000058665384,"about_ca_system_score_gemma":0.000021768563,"threshold_uncertainty_score":0.4136884},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22767106,0.000014847709,0.7717802,0.0000064103688,0.00004491909,0.00031466206,0.000014565714,0.000040228133,0.00011310439],"genre_scores_gemma":[0.5665175,0.0000017123544,0.43341696,1.788375e-7,0.00000735117,0.000033564407,0.0000041758794,0.000017613174,9.4764476e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897134,0.0000055012697,0.0005957216,0.000112905516,0.00014721451,0.00016730744],"domain_scores_gemma":[0.9994346,0.00023688775,0.00007793678,0.00010894515,0.000109973305,0.000031663993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037459872,0.00012907897,0.00032977847,0.00016600266,0.000008512088,0.000005069499,0.00010754835,0.00009255007,0.0000047892363],"category_scores_gemma":[0.00008957409,0.00013239372,0.000069836395,0.00020309522,0.000037824593,0.000079454316,0.00001992435,0.00015701755,2.0002064e-7],"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":[0.0000030603464,0.000045231234,0.00003091096,0.003866078,0.000021561107,6.271465e-8,0.00020006798,0.8030159,0.12031098,0.07117132,3.877082e-7,0.00133444],"study_design_scores_gemma":[0.00026210275,0.000036027966,0.000029409452,0.00031108156,0.000016594464,0.000009615893,0.000018245737,0.9492974,0.0076868595,0.04222421,9.867973e-7,0.000107434695],"about_ca_topic_score_codex":0.000002332892,"about_ca_topic_score_gemma":0.0000031532982,"teacher_disagreement_score":0.33884642,"about_ca_system_score_codex":0.0000212509,"about_ca_system_score_gemma":0.000018678791,"threshold_uncertainty_score":0.5398859},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6404335,0.00008821838,0.35662422,0.00007339554,0.000018182467,0.00062180264,0.0000042630513,0.000049681392,0.0020867558],"genre_scores_gemma":[0.986842,0.0000051093216,0.013004562,0.000017848555,0.000006343468,0.00008066491,0.0000024817066,0.00002231811,0.000018670738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981401,0.00014282555,0.0008172675,0.00035491792,0.00016035275,0.00038451664],"domain_scores_gemma":[0.99765456,0.0016867759,0.000073771334,0.0003373167,0.00005837372,0.00018917843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020927046,0.0002234913,0.0008980231,0.00006864204,0.000028436834,0.0000064735714,0.000067952,0.00020278181,0.0005558786],"category_scores_gemma":[0.002660771,0.00015486387,0.0000643122,0.00013691452,0.00028570552,0.00006473184,0.000047989142,0.0003336907,0.000010473097],"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":[0.00046899836,0.0036413318,0.075013034,0.03311185,0.00031345128,0.00005562858,0.002378126,0.022368649,0.034929715,0.8275042,0.0000070328756,0.00020797805],"study_design_scores_gemma":[0.0015317762,0.00037165705,0.0006608892,0.0010448641,0.00007619173,0.00022408833,0.0000618821,0.8981371,0.0019577818,0.095666856,0.0000051286115,0.0002618177],"about_ca_topic_score_codex":0.000004183104,"about_ca_topic_score_gemma":0.0000018911579,"teacher_disagreement_score":0.8757684,"about_ca_system_score_codex":0.00005945549,"about_ca_system_score_gemma":0.000024413184,"threshold_uncertainty_score":0.6315165},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032547906,0.00016051943,0.9661872,0.00019465832,0.00022778363,0.00047557286,6.175648e-7,0.000119259916,0.00008647847],"genre_scores_gemma":[0.8029539,0.0000036297465,0.19674216,0.000032433134,0.0002077825,0.00003477032,3.386991e-7,0.000018342707,0.000006619578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981015,0.000060420207,0.0007274067,0.00031508735,0.00026782943,0.000527811],"domain_scores_gemma":[0.999126,0.0003271321,0.00009301317,0.00032207326,0.000034912988,0.00009685021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000773033,0.00023023586,0.00057107257,0.00014102334,0.000025110034,0.000063149186,0.00046971976,0.00011370286,0.000014308526],"category_scores_gemma":[0.00002804515,0.00021459161,0.00010701018,0.00040736236,0.000020536749,0.00030018832,0.00011488593,0.00028947732,0.00001200697],"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":[0.00001120875,0.000070020345,0.00008807907,0.00007820367,0.000018788432,0.0000065530903,0.0002642566,0.9604322,0.00022765019,0.029377641,0.000008352085,0.009417085],"study_design_scores_gemma":[0.0026867725,0.000039940198,0.00009497773,0.00041305143,0.00000952006,0.000012431978,0.0000016111485,0.9905868,0.000027425236,0.0058875526,0.00002460496,0.00021531055],"about_ca_topic_score_codex":0.0000043237424,"about_ca_topic_score_gemma":0.0000054534707,"teacher_disagreement_score":0.770406,"about_ca_system_score_codex":0.00006988618,"about_ca_system_score_gemma":0.00002234532,"threshold_uncertainty_score":0.87507915},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12983863,0.00019022712,0.86763006,0.00010724352,0.000046392408,0.0006995503,6.8527936e-7,0.00040004752,0.0010871618],"genre_scores_gemma":[0.72911674,0.0000049387604,0.27047354,0.000015494637,0.000025241832,0.00013619046,0.0000012100439,0.00007285833,0.00015375725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988606,0.000024136689,0.00036418284,0.00019936818,0.00024327589,0.0003084385],"domain_scores_gemma":[0.9992572,0.00039470955,0.000043877546,0.00015888884,0.00004396335,0.000101334976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002550124,0.00024573746,0.00034547297,0.00012611123,0.000046293728,0.0000835813,0.00013435469,0.00008072406,0.00010892956],"category_scores_gemma":[0.00022339857,0.00015679885,0.000027868016,0.00034771595,0.000026234864,0.000114322946,0.000044057,0.00034215118,0.00007316188],"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":[0.000007925954,0.000055789962,0.00021555887,0.0010137586,0.000027898803,0.0000030138642,0.0008147965,0.9933339,0.001971111,0.000092405346,0.0000031973282,0.002460642],"study_design_scores_gemma":[0.00045490413,0.00007433349,0.00008032459,0.0014446131,0.000016859112,0.000024262896,0.00006848692,0.9948075,0.002611621,0.00018247313,0.000008376726,0.00022627563],"about_ca_topic_score_codex":0.0000049550754,"about_ca_topic_score_gemma":4.4608572e-7,"teacher_disagreement_score":0.59927815,"about_ca_system_score_codex":0.000046058205,"about_ca_system_score_gemma":0.000008787834,"threshold_uncertainty_score":0.63940716},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11021193,0.00006335531,0.886554,0.000052715943,0.00014658863,0.00038589127,0.0000060171083,0.00045945885,0.0021200376],"genre_scores_gemma":[0.99818575,0.000001642852,0.0016739088,0.000006252536,0.00001687797,0.00006441899,0.000011829127,0.000025845766,0.000013470715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989772,0.000012272284,0.0004054761,0.00014613167,0.00024466272,0.00021430172],"domain_scores_gemma":[0.99953294,0.00010312867,0.000028839197,0.00022339664,0.000022479877,0.0000891906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035398346,0.00016557344,0.00039104102,0.0005043425,0.0000059645713,0.000014654793,0.000114547925,0.00007107465,0.000019230889],"category_scores_gemma":[0.000080708676,0.0001568977,0.000090530324,0.0005452139,0.00001289769,0.00004503541,0.000014077106,0.00013473525,0.000007804251],"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":[0.0000057988564,0.000084143314,0.000020034777,0.00032150303,0.00011575043,0.0000028919605,0.0001779554,0.99588096,0.00009277703,0.0010964664,0.00002958105,0.0021721346],"study_design_scores_gemma":[0.0006232259,0.000044481265,0.00048664163,0.00011506718,0.00012740809,2.1733771e-7,0.000013056806,0.99820673,0.000024747998,0.00013209989,0.000071982155,0.00015432149],"about_ca_topic_score_codex":0.000008807148,"about_ca_topic_score_gemma":0.000024944951,"teacher_disagreement_score":0.88797385,"about_ca_system_score_codex":0.00008707093,"about_ca_system_score_gemma":0.000008056838,"threshold_uncertainty_score":0.6398102},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03889371,0.00010884985,0.9566815,0.000042696272,0.00007211202,0.003743186,2.8433053e-7,0.00011040464,0.0003472571],"genre_scores_gemma":[0.95022863,0.000004796726,0.047834475,0.000015956526,0.00010554184,0.0017609983,8.0770684e-7,0.000036621026,0.000012174222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777234,0.00006351259,0.00078128575,0.00044350178,0.00030921143,0.000630134],"domain_scores_gemma":[0.99885535,0.00034150088,0.00011314543,0.00046708618,0.000062058214,0.00016088552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015065967,0.00026204318,0.00054619863,0.00010648572,0.000027119686,0.000062239844,0.00043252157,0.00020320591,0.0000020686794],"category_scores_gemma":[0.00015422383,0.00025122816,0.00004516036,0.0005450986,0.000027866594,0.0003681528,0.00062688306,0.00052318966,0.0000030446195],"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":[0.000007582236,0.00005149692,0.0008947174,0.00020584775,0.000009091166,0.000009559472,0.001144954,0.980522,0.00018377838,0.015519895,0.00000804095,0.0014430572],"study_design_scores_gemma":[0.0006859895,0.00004315167,0.000052749754,0.0017184275,0.0000030249344,0.00001413668,0.00001595441,0.99085766,0.00010611511,0.006239285,0.000011169072,0.0002523516],"about_ca_topic_score_codex":0.000028760905,"about_ca_topic_score_gemma":0.000025301157,"teacher_disagreement_score":0.91133493,"about_ca_system_score_codex":0.00019778908,"about_ca_system_score_gemma":0.000029947629,"threshold_uncertainty_score":0.999994},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28411993,0.000045526078,0.7142372,0.00006821916,0.000053385877,0.0011126787,0.000005011317,0.000051484243,0.00030655958],"genre_scores_gemma":[0.94878626,3.9037127e-7,0.05073418,0.000007901839,0.00004473596,0.00031585267,0.0000022540216,0.000042790423,0.00006564939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963046,0.00008256164,0.0015817956,0.00052595435,0.0009647046,0.00054040464],"domain_scores_gemma":[0.99626464,0.0023678003,0.00025412516,0.00068155356,0.00033446282,0.00009740346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029295145,0.00029233604,0.00070895796,0.0005064499,0.00008238307,0.0006150399,0.0009184322,0.00007979039,0.00008612736],"category_scores_gemma":[0.0036805484,0.000175625,0.00017834037,0.00064132013,0.00011282757,0.00064412964,0.00020583556,0.00027427485,0.00001989214],"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":[0.000017426932,0.00016339464,0.000047240766,0.0008967873,0.00003785768,0.000003921061,0.0033203892,0.97321004,0.015125357,0.004392002,0.000056286968,0.0027293046],"study_design_scores_gemma":[0.00038828253,0.0000420214,0.000060247097,0.00043340196,0.000015445743,0.000034512967,0.001782,0.9066192,0.0009031583,0.08953497,0.000006746183,0.00018001124],"about_ca_topic_score_codex":0.000010277373,"about_ca_topic_score_gemma":8.2345076e-7,"teacher_disagreement_score":0.6646663,"about_ca_system_score_codex":0.000060769988,"about_ca_system_score_gemma":0.00003945652,"threshold_uncertainty_score":0.71617794},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075370826,0.000046379537,0.91119903,0.00013631876,0.00013345451,0.006811152,0.0000059955732,0.00043324239,0.0058636256],"genre_scores_gemma":[0.95573896,7.293187e-7,0.041068103,0.00003286309,0.00003567655,0.0026496623,0.000008082227,0.00008136148,0.00038454664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99726933,0.00004147021,0.00081420015,0.00048210975,0.0005404661,0.0008524008],"domain_scores_gemma":[0.998762,0.00029564026,0.00014589533,0.0006236331,0.000017599823,0.00015522206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052290777,0.00039512382,0.00044849789,0.00012330564,0.00010978362,0.00012140243,0.0004288537,0.00010658981,0.00009567039],"category_scores_gemma":[0.000100724326,0.00036337328,0.00014068455,0.0004902959,0.00006223907,0.00026055553,0.0003699448,0.00019690176,0.00012209345],"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":[0.000007226247,0.00013855181,0.00012271105,0.0018764334,0.0000411725,0.000005309758,0.0009335573,0.9941748,0.000052996766,0.001604592,0.00023422609,0.0008084462],"study_design_scores_gemma":[0.0009113932,0.00006256755,0.000029374838,0.0009880306,0.000041764106,0.0000010550976,0.0013977718,0.992015,0.00008116286,0.0005210797,0.0035593372,0.0003914529],"about_ca_topic_score_codex":0.000119769524,"about_ca_topic_score_gemma":0.000013312928,"teacher_disagreement_score":0.8803682,"about_ca_system_score_codex":0.00059297826,"about_ca_system_score_gemma":0.0000032041046,"threshold_uncertainty_score":0.9998818},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6185305,0.0013981574,0.3773778,0.00009159918,0.00006612017,0.0009196114,0.0000073821025,0.00026991533,0.0013389052],"genre_scores_gemma":[0.97921956,0.000012972649,0.020566786,0.0000026603448,0.000021926975,0.00010353396,0.000007837072,0.000052291576,0.000012438167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812764,0.000018404025,0.00076079945,0.00022591304,0.00043134525,0.0004358937],"domain_scores_gemma":[0.99931407,0.00018616018,0.00007446653,0.0002676914,0.000051998195,0.00010563266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003281089,0.0002531324,0.0005976634,0.0003425281,0.000017605875,0.000020422123,0.0001859288,0.00014851686,0.00008009815],"category_scores_gemma":[0.000060985247,0.00021218658,0.000077940604,0.0004921366,0.000057405457,0.00019565051,0.000056750196,0.0004422579,0.000008707483],"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":[0.00000461196,0.0001530347,0.0012279887,0.0030683146,0.0000993872,0.00000795199,0.0010051783,0.991917,0.002143344,0.00007927482,0.000012187414,0.00028172406],"study_design_scores_gemma":[0.0004147494,0.00004158539,0.0020880448,0.0022119677,0.000033756445,0.000013585189,0.000020149699,0.99208903,0.0018415783,0.0010002112,0.000007700704,0.0002376495],"about_ca_topic_score_codex":0.00012601283,"about_ca_topic_score_gemma":0.000035023593,"teacher_disagreement_score":0.36068904,"about_ca_system_score_codex":0.000060924813,"about_ca_system_score_gemma":0.000021583872,"threshold_uncertainty_score":0.8652718},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657793,0.000059410777,0.03172065,0.00003191678,0.00012499874,0.00051374116,0.0000076186907,0.000084070416,0.0016782933],"genre_scores_gemma":[0.9982439,0.0000144289315,0.0013934887,0.000003773907,0.000046899906,0.00023110377,0.0000042741776,0.000041820087,0.000020310013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985783,0.000027794613,0.00050470955,0.00009981795,0.00030163015,0.0004877456],"domain_scores_gemma":[0.9993257,0.00032382034,0.000021468102,0.00022861024,0.0000227255,0.00007770558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473261,0.00014722903,0.00023410191,0.00025132296,0.000021768654,0.00001534498,0.00019022745,0.00010554115,0.000079279824],"category_scores_gemma":[0.00010869903,0.00012184913,0.00004355716,0.00038133832,0.00003621876,0.000104319995,0.000020429994,0.000596403,0.000022009965],"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":[0.00002136665,0.0014603947,0.05844221,0.006670069,0.000049473394,0.00006156815,0.010609345,0.8355941,0.018703869,0.056834687,0.000059816528,0.011493058],"study_design_scores_gemma":[0.00036488628,0.000043166634,0.06442716,0.0011235778,0.000014800267,0.000017178827,0.00028343452,0.93133813,0.0010224166,0.0009167356,0.00012314823,0.00032533958],"about_ca_topic_score_codex":0.000004838222,"about_ca_topic_score_gemma":0.000008226786,"teacher_disagreement_score":0.095744014,"about_ca_system_score_codex":0.000113050846,"about_ca_system_score_gemma":0.000011509147,"threshold_uncertainty_score":0.49688634},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15614127,0.0005428636,0.84042346,0.000030310284,0.000030743362,0.00059119565,0.0000010757913,0.0016417879,0.0005973195],"genre_scores_gemma":[0.92315155,0.000021297574,0.07642127,0.0000040106142,0.000024403087,0.0002616544,0.0000028049396,0.00009348153,0.000019505076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985816,0.0000069377106,0.0003739735,0.00024058057,0.0001491746,0.00064776005],"domain_scores_gemma":[0.99946177,0.00018375061,0.000033347027,0.00023272046,0.000024307357,0.00006413315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003831352,0.0002605838,0.0003443216,0.00017442562,0.000047442474,0.00007661364,0.00022324489,0.00012155741,0.0000048549264],"category_scores_gemma":[0.00011627652,0.000235702,0.00005004344,0.0003222597,0.00003220654,0.00015627022,0.00003549426,0.00036833965,0.000007264287],"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":[0.000002503481,0.000027521655,0.000054425975,0.0011980664,0.000025367519,0.0000025574268,0.00013735851,0.9016196,0.0012601084,0.0039268094,0.0000042122356,0.09174145],"study_design_scores_gemma":[0.00043327385,0.00012679226,0.000074644086,0.00041830045,0.0000139438625,0.000012173133,0.00004232112,0.99539435,0.00093238236,0.0020486042,0.00017984868,0.00032339554],"about_ca_topic_score_codex":0.0000022693312,"about_ca_topic_score_gemma":0.0000048808115,"teacher_disagreement_score":0.76701033,"about_ca_system_score_codex":0.00009711349,"about_ca_system_score_gemma":0.000008165888,"threshold_uncertainty_score":0.96116483},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67055076,0.000044362936,0.32675114,0.00018115352,0.000013135875,0.00033040377,0.0000012842797,0.000023451017,0.0021043005],"genre_scores_gemma":[0.99887514,3.6947296e-7,0.0009398793,0.000015140681,0.000048509344,0.00008338106,0.0000020732507,0.000013910862,0.000021570084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918014,0.00003046544,0.00024544427,0.00016363608,0.00013692726,0.00024338246],"domain_scores_gemma":[0.99951404,0.0002204125,0.000028303311,0.0001840458,0.000007102526,0.00004606875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033769663,0.00013371906,0.00021077857,0.000046856196,0.000021628186,0.00004308365,0.00012142291,0.000040948657,0.000025126907],"category_scores_gemma":[0.000013098421,0.000085660104,0.000024231376,0.00014738733,0.00002042872,0.00005174031,0.000033981472,0.00021165921,0.000004139576],"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":[0.000007695236,0.0002242028,0.019452991,0.00076564105,0.000022190929,0.000005460783,0.001571707,0.033464648,0.0006224476,0.9411937,0.000013960362,0.002655333],"study_design_scores_gemma":[0.0006111147,0.00014512012,0.0018576918,0.00043767062,0.0000098390265,0.0000065919585,0.000113849455,0.9484952,0.00005808216,0.047786172,0.00026140435,0.0002172636],"about_ca_topic_score_codex":0.00009010315,"about_ca_topic_score_gemma":0.000010674406,"teacher_disagreement_score":0.91503054,"about_ca_system_score_codex":0.000010177117,"about_ca_system_score_gemma":0.0000038226326,"threshold_uncertainty_score":0.34931177},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10907454,0.00008471574,0.8898113,0.00013362418,0.00002858117,0.0002770185,0.0000010418472,0.00008556926,0.000503635],"genre_scores_gemma":[0.9527856,0.00000624002,0.04710439,0.000010235175,0.00001932215,0.000037150585,0.0000052656146,0.00000903271,0.000022744189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999084,0.000009351066,0.00029089855,0.00017196646,0.00020813242,0.00023565412],"domain_scores_gemma":[0.9996374,0.00003409323,0.000054608437,0.00021062282,0.000027776538,0.00003549943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025718473,0.00012966897,0.00017502914,0.00016618097,0.000019071646,0.00012794408,0.00023238224,0.00004304475,8.3596365e-7],"category_scores_gemma":[0.0000046235523,0.00009658121,0.0000117453765,0.0003667166,0.000010495034,0.0004896108,0.000022599643,0.00015267312,0.0000035177543],"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":[0.000009920793,0.00007590248,0.00041129338,0.00025215207,0.0000044696435,0.0000079415395,0.0008567661,0.9168215,0.00007872728,0.08047184,0.0000014188412,0.0010081133],"study_design_scores_gemma":[0.0005184705,0.00013409315,0.00050978886,0.00068027707,0.000001609182,0.000024307516,0.0000338879,0.99675286,0.000047184487,0.001120509,0.000026966542,0.00015006658],"about_ca_topic_score_codex":0.000028827828,"about_ca_topic_score_gemma":0.000048841855,"teacher_disagreement_score":0.8437111,"about_ca_system_score_codex":0.00006125484,"about_ca_system_score_gemma":0.000018984061,"threshold_uncertainty_score":0.39384675},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019800544,0.00006647007,0.99656504,0.00002539155,0.0000185484,0.00037278002,0.0000028304837,0.00044542513,0.0005234759],"genre_scores_gemma":[0.94466907,0.000029792383,0.054837678,0.000023311291,0.000016115262,0.00036223343,0.00001535173,0.000032728218,0.000013737084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908245,0.000012720704,0.00033039885,0.00015930175,0.00015820381,0.000256917],"domain_scores_gemma":[0.9995913,0.00015039174,0.000021560349,0.00014088243,0.000021821048,0.00007406372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020046056,0.00017650897,0.00024630263,0.00033791075,0.000023111681,0.00006407476,0.000073376825,0.00008241381,0.0001956259],"category_scores_gemma":[0.000061435225,0.00016973546,0.000047730944,0.00043426303,0.0000071881,0.00014611069,0.000016499913,0.00014673198,0.0000294358],"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":[2.2333933e-7,0.000026817037,0.00006519859,0.00025671965,0.000043230542,0.0000012100995,0.00013175923,0.9956085,0.0005318915,0.0011978798,0.000033060856,0.002103494],"study_design_scores_gemma":[0.00014540843,0.000026044025,0.00016159116,0.00016144449,0.000035476412,5.741357e-7,0.0000073926813,0.99508804,0.0012312366,0.0029274959,0.000024814748,0.00019045574],"about_ca_topic_score_codex":0.0000034556465,"about_ca_topic_score_gemma":0.0000010662861,"teacher_disagreement_score":0.942689,"about_ca_system_score_codex":0.00005368913,"about_ca_system_score_gemma":0.0000026760256,"threshold_uncertainty_score":0.6921611},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019963766,0.00030107543,0.99705225,0.00019905821,0.000056512155,0.00018637918,1.3285306e-7,0.00010970639,0.00009847932],"genre_scores_gemma":[0.6029722,0.000014290606,0.3969115,0.000018379564,0.000060013546,0.000011243446,2.2915593e-7,0.000006205376,0.000005910657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914664,0.000015561249,0.00033749038,0.00017001416,0.00011545339,0.00021481127],"domain_scores_gemma":[0.9995556,0.00017806089,0.000047709535,0.00014290457,0.000022282677,0.000053480486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003101327,0.00010730808,0.00023067842,0.0000640208,0.000019262308,0.000036426012,0.0001700401,0.000052799125,0.000005148288],"category_scores_gemma":[0.000008820125,0.00010082395,0.00003007979,0.00018158829,0.000016750932,0.00017598501,0.000046231416,0.00010899524,0.0000020316606],"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":[0.0000011856852,0.000024691448,0.0000025743452,0.00005586815,0.000007925834,5.4215866e-7,0.00018644561,0.952426,0.0000019138272,0.02705568,0.000013152561,0.020223983],"study_design_scores_gemma":[0.00047129783,0.000019864576,9.908724e-7,0.00015400621,0.0000039320485,0.000005127598,0.0000015148964,0.9984868,0.0000016677232,0.0007065862,0.00004891123,0.00009929608],"about_ca_topic_score_codex":3.4716743e-7,"about_ca_topic_score_gemma":3.5450404e-7,"teacher_disagreement_score":0.6009759,"about_ca_system_score_codex":0.00001744108,"about_ca_system_score_gemma":0.000008098458,"threshold_uncertainty_score":0.41114813},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003847516,0.00005059181,0.9897069,0.000012551247,0.000056114277,0.00094034406,0.0000012430474,0.00033180675,0.005052952],"genre_scores_gemma":[0.76691246,0.000011850339,0.23185953,0.000015722326,0.000054399912,0.0006834068,0.00005375013,0.00007841014,0.00033043185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893004,0.00001045677,0.00032469156,0.00021277805,0.0001470473,0.00037496063],"domain_scores_gemma":[0.9996973,0.00003413787,0.000021220609,0.00018735544,0.0000034234185,0.000056553294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029588645,0.00021703316,0.00022330228,0.0001565637,0.00002688661,0.00006309981,0.00016009531,0.00006838136,0.00001479332],"category_scores_gemma":[0.000008390804,0.00020396752,0.000066292654,0.0001237947,0.000016514236,0.00008950745,0.000060070284,0.00011375134,0.000009178008],"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":[0.00000226686,0.00005416319,0.000017435943,0.0013631027,0.00004250757,3.6055516e-7,0.00017606802,0.98110527,0.00013941816,0.01370205,0.00003579327,0.0033615842],"study_design_scores_gemma":[0.000617143,0.00001770705,0.000013979027,0.000087181004,0.000022852777,0.0000012631375,0.000055165423,0.9932001,0.000050165418,0.00328396,0.0024011626,0.00024926892],"about_ca_topic_score_codex":5.8275924e-7,"about_ca_topic_score_gemma":3.473632e-7,"teacher_disagreement_score":0.763065,"about_ca_system_score_codex":0.000109070825,"about_ca_system_score_gemma":5.5103993e-7,"threshold_uncertainty_score":0.8317554},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1792127,0.000020301279,0.8190838,0.0000024653355,0.000026200474,0.00017748261,0.0000754791,0.000014773532,0.0013867706],"genre_scores_gemma":[0.9942577,2.9344204e-7,0.005599527,3.4985925e-7,0.000024076002,0.000018485634,0.000046243193,0.000012364825,0.00004097694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989736,0.000025870071,0.0005717608,0.00013355064,0.0001254849,0.00016972156],"domain_scores_gemma":[0.99940336,0.00015834438,0.00010354988,0.00024064134,0.000042800883,0.0000513023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001787123,0.000117470154,0.00044619173,0.00013153568,0.000013785371,0.000007194119,0.00012985588,0.000039811493,0.0002835479],"category_scores_gemma":[0.000028144386,0.0001043325,0.00014522075,0.0004212134,0.000039341357,0.000041086896,0.0000547197,0.00010997106,0.0000020320383],"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":[0.000022421797,0.005016253,0.07827702,0.004721885,0.002544782,0.0000013427879,0.0034166195,0.19897638,0.0424194,0.66395587,0.00006614425,0.0005818629],"study_design_scores_gemma":[0.0002547558,0.00003950038,0.0020349238,0.00009753202,0.00017773385,1.4223502e-7,0.00013267367,0.99026036,0.0010590338,0.0057885703,0.0000083692175,0.00014637494],"about_ca_topic_score_codex":0.00020500041,"about_ca_topic_score_gemma":7.284324e-7,"teacher_disagreement_score":0.815045,"about_ca_system_score_codex":0.000012717597,"about_ca_system_score_gemma":0.000009595588,"threshold_uncertainty_score":0.4254556},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022374063,0.00007414823,0.99790686,0.0001045413,0.00016318388,0.00096207525,0.000034729488,0.00032853038,0.00020217165],"genre_scores_gemma":[0.24421486,0.000013455232,0.7548527,0.00005015023,0.00010047462,0.0002677405,0.0002693616,0.00013655047,0.0000946653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998731,0.000009806439,0.0004334439,0.00028652523,0.00016977028,0.00036941317],"domain_scores_gemma":[0.99912894,0.00021657278,0.00003471139,0.00046979473,0.000056725676,0.00009328582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037656966,0.00023664365,0.00030103896,0.00017025004,0.000035911442,0.00008959886,0.0003008709,0.00018281129,0.000036460464],"category_scores_gemma":[0.00025071867,0.00022591808,0.00004039144,0.00029013405,0.000011142103,0.0002691658,0.00008666438,0.0001924484,0.00002620703],"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":[8.7576467e-7,0.000048377206,0.000010673369,0.0009688742,0.000016576176,4.1817285e-7,0.00013439183,0.9807966,0.010419688,0.0040558153,0.00070102804,0.0028466764],"study_design_scores_gemma":[0.00046107275,0.000015927622,0.00003635679,0.0002290203,0.000014829461,0.000008524836,0.000014482843,0.9945151,0.0008791641,0.002644464,0.00090759486,0.00027346273],"about_ca_topic_score_codex":0.0000148921,"about_ca_topic_score_gemma":0.000006305573,"teacher_disagreement_score":0.24399112,"about_ca_system_score_codex":0.000099160316,"about_ca_system_score_gemma":0.000012619347,"threshold_uncertainty_score":0.9212672},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018394234,0.00001255325,0.9966614,0.000023600689,0.00012683771,0.0018113046,0.0000073676724,0.0003483077,0.0009902264],"genre_scores_gemma":[0.07239058,5.881723e-7,0.9266212,0.000038735743,0.000019842746,0.0008689446,0.0000041951894,0.00004060912,0.000015329435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981457,0.00009957449,0.0004620218,0.0006333051,0.00025932863,0.0004000927],"domain_scores_gemma":[0.99776715,0.0013458299,0.00012633362,0.00044939882,0.00022909342,0.000082170176],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012805564,0.00028183754,0.0003226674,0.0003281429,0.000089252244,0.00003562648,0.00040709376,0.00012432263,0.000019974012],"category_scores_gemma":[0.0016163725,0.000271649,0.00010405859,0.0006403863,0.000043582684,0.000516625,0.00010367625,0.00025263132,0.000003909078],"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":[0.00002743258,0.0004324669,0.000013811152,0.00015615525,0.00001416745,9.090323e-7,0.0014717804,0.8983091,0.00015251341,0.09841773,4.499236e-7,0.0010034582],"study_design_scores_gemma":[0.001111395,0.00010765031,0.00014545338,0.00018749732,0.0000074150407,0.000006745875,0.00002486932,0.9106779,0.00075788243,0.086693525,0.0000019306876,0.0002776966],"about_ca_topic_score_codex":0.0000040883847,"about_ca_topic_score_gemma":7.456579e-7,"teacher_disagreement_score":0.07237218,"about_ca_system_score_codex":0.0004075343,"about_ca_system_score_gemma":0.00006118866,"threshold_uncertainty_score":0.9999736},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04121212,0.000070704475,0.9546523,0.00008831641,0.0006479028,0.0006778512,0.000005834778,0.00041320402,0.0022317502],"genre_scores_gemma":[0.9943327,0.0000023048383,0.0050795344,0.0000026186697,0.00010978456,0.00035546484,0.0000054765583,0.000035781446,0.000076351236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933267,0.0000026022328,0.00027568146,0.000107102824,0.00008481408,0.00019714911],"domain_scores_gemma":[0.9996481,0.00010689991,0.000018258548,0.0001582883,0.000022239812,0.00004622955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025905122,0.00010468011,0.00014691245,0.000099543024,0.000018225552,0.00004977124,0.00008365956,0.00007606098,0.000036358786],"category_scores_gemma":[0.00015982715,0.00010471071,0.000042919397,0.00009812196,0.000008214794,0.00014596687,0.0000079311385,0.00018643404,0.00003402959],"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":[0.0000020608777,0.000061305735,0.00006890661,0.0023666944,0.000028320994,0.000001022503,0.00047858438,0.6327507,0.29848403,0.0626823,0.0006927816,0.0023832999],"study_design_scores_gemma":[0.00032539654,0.000009221226,0.00016571792,0.00012235175,0.0000069249863,0.000008916095,0.00002616915,0.98538274,0.0011265927,0.0060060713,0.0066323616,0.00018756445],"about_ca_topic_score_codex":0.000003266645,"about_ca_topic_score_gemma":0.000019055182,"teacher_disagreement_score":0.9531206,"about_ca_system_score_codex":0.000027941423,"about_ca_system_score_gemma":0.0000040094515,"threshold_uncertainty_score":0.42699787},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03357992,0.00035144627,0.9648079,0.000051326388,0.00008378837,0.00081477937,0.000005105237,0.000116059855,0.00018963541],"genre_scores_gemma":[0.953932,0.0000012510367,0.045664392,0.0000079361935,0.000084643296,0.00028425013,0.0000018472703,0.000015237799,0.000008454166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846184,0.000033441083,0.0004911655,0.00031527388,0.00017983263,0.00051845267],"domain_scores_gemma":[0.9991288,0.00029747246,0.00006139776,0.00029548138,0.00005039433,0.0001664513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010400286,0.00020533922,0.00058784074,0.00013631102,0.00004218198,0.0001217894,0.0002495508,0.00010347512,5.660925e-7],"category_scores_gemma":[0.00010589807,0.00014903725,0.00008922853,0.00033104033,0.000022047823,0.0003060374,0.00008409871,0.00015373809,0.000001223654],"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":[0.000031941272,0.00020247059,0.0014154962,0.000966388,0.00031441668,8.8764835e-7,0.00086066994,0.9376781,0.001377052,0.05689442,0.0000017123194,0.0002564725],"study_design_scores_gemma":[0.00088121963,0.00005440635,0.00003998608,0.00005561914,0.000059152615,0.0000075399353,0.000042069227,0.99783045,0.000006769729,0.0008189825,0.000006384094,0.00019740102],"about_ca_topic_score_codex":0.00003068987,"about_ca_topic_score_gemma":0.0000053419662,"teacher_disagreement_score":0.92035204,"about_ca_system_score_codex":0.00007985867,"about_ca_system_score_gemma":0.000015063139,"threshold_uncertainty_score":0.60775626},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4180884,0.000014569266,0.58139807,0.000088948706,0.000003313134,0.00018276663,0.000002035044,0.000021402231,0.00020052456],"genre_scores_gemma":[0.97890735,0.0000023976138,0.020973716,0.000028401824,0.000004922744,0.000054636344,0.000009659834,0.00001106924,0.000007850025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897915,0.000031448777,0.0004993276,0.00022121443,0.00007379534,0.00019503674],"domain_scores_gemma":[0.99879056,0.00076725136,0.0000659828,0.00023428976,0.00003917167,0.000102734906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008436627,0.0001304688,0.00062747824,0.00020187367,0.000021854854,0.0000044333947,0.00004947147,0.00011973201,0.000087452936],"category_scores_gemma":[0.00091528,0.000095798525,0.00006243367,0.00023384832,0.00016333448,0.000047524773,0.000029499875,0.00015707573,0.0000027516262],"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":[0.000032468848,0.00016412123,0.00034284286,0.0005709856,0.00023586475,2.1361139e-7,0.00038006678,0.6569953,0.0007727255,0.3404234,4.1110033e-7,0.00008161659],"study_design_scores_gemma":[0.0003165305,0.00012231554,0.0005071377,0.00012660095,0.00049207325,0.0000045841216,0.00001139703,0.8859826,0.00010062105,0.11225297,1.8042883e-7,0.00008303586],"about_ca_topic_score_codex":0.0000023819102,"about_ca_topic_score_gemma":0.000005881482,"teacher_disagreement_score":0.560819,"about_ca_system_score_codex":0.000030037994,"about_ca_system_score_gemma":0.000016839207,"threshold_uncertainty_score":0.39065504},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0082249055,0.0001422606,0.9889694,0.000023452578,0.0001332301,0.0010587168,0.000013585385,0.00044657805,0.0009878906],"genre_scores_gemma":[0.98955554,0.0000012002671,0.009569714,0.000007663441,0.00008347076,0.00064518757,0.000024665716,0.00007999421,0.000032574277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861765,0.000019026775,0.0005186006,0.00023249371,0.00020612427,0.00040610365],"domain_scores_gemma":[0.9988967,0.0006291389,0.000042498443,0.00027571514,0.00006733471,0.0000885973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061348645,0.00024740724,0.00042178694,0.00014175348,0.00005192938,0.000080807484,0.00014714556,0.00011906045,0.000013337707],"category_scores_gemma":[0.00023478841,0.0002233693,0.00005710612,0.00024376625,0.00002880582,0.00016546772,0.0000134226975,0.00015069533,0.000013699056],"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":[0.0000040144873,0.000040593677,0.00002486628,0.0020852108,0.000033259785,5.701955e-7,0.00026287715,0.9679735,0.017121404,0.012362602,0.000012480591,0.00007866909],"study_design_scores_gemma":[0.0008385806,0.000061025206,0.000009290341,0.0007546727,0.000022667462,0.000021499764,0.000037251004,0.9956318,0.00014727534,0.0017032252,0.0004790737,0.00029362447],"about_ca_topic_score_codex":0.000008657707,"about_ca_topic_score_gemma":0.000003283396,"teacher_disagreement_score":0.98133063,"about_ca_system_score_codex":0.00016523163,"about_ca_system_score_gemma":0.000013135447,"threshold_uncertainty_score":0.9108736},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03626662,0.0005976704,0.9622289,0.000055493834,0.000025890931,0.0002578426,0.000016602296,0.000043836466,0.0005071216],"genre_scores_gemma":[0.98167,0.000002011506,0.018164193,0.000011186317,0.000023222969,0.00009275677,0.0000033092597,0.000021543465,0.000011778542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913764,8.2591987e-7,0.00035702897,0.00025671354,0.000035656878,0.000212134],"domain_scores_gemma":[0.99961793,0.000034643894,0.000045828252,0.0001762629,0.000022693153,0.00010262415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019148672,0.00013679752,0.00028287782,0.00008932383,0.000021573696,0.00003746947,0.00010549603,0.00007319376,0.0000054882435],"category_scores_gemma":[0.000088692716,0.00012896386,0.000017381035,0.00018858045,0.000037802176,0.00014083019,0.000051024566,0.00015491714,0.000009791142],"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":[0.0000061843402,0.000055149576,0.0012142505,0.00029723067,0.000011444814,0.0000013046384,0.0010304153,0.1430313,0.000057965604,0.8541293,0.000005368486,0.00016008047],"study_design_scores_gemma":[0.00019249019,0.000023168397,0.0006118573,0.000061032988,0.0000027433632,0.000011937083,0.000012704057,0.4758591,0.0000033902252,0.52307206,0.000012666895,0.0001368479],"about_ca_topic_score_codex":0.000018436713,"about_ca_topic_score_gemma":0.000008055996,"teacher_disagreement_score":0.9454034,"about_ca_system_score_codex":0.000048308546,"about_ca_system_score_gemma":0.000011103227,"threshold_uncertainty_score":0.52589935},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01901345,0.000090080575,0.97741,0.000011689092,0.00026646387,0.0017419901,0.0000024202498,0.0005963188,0.0008675753],"genre_scores_gemma":[0.9960586,8.816029e-7,0.0014630547,0.000003940965,0.00009868072,0.0021118762,0.000002331487,0.000099921344,0.00016071144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866384,0.000009789416,0.00047157405,0.00021446364,0.00018366524,0.00045668063],"domain_scores_gemma":[0.99943167,0.00015572076,0.00003818009,0.0002134662,0.000040695584,0.000120269775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021188906,0.00027133155,0.00038321008,0.00020369593,0.00004500709,0.0001247451,0.00012443835,0.0001398622,0.000025296984],"category_scores_gemma":[0.000050664854,0.00023009746,0.000058500096,0.00024789866,0.000013103199,0.00022072162,0.00001286592,0.00023226571,0.0001794486],"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":[0.0000030502363,0.000015572858,0.0000015308061,0.0012103138,0.00003915893,0.0000011842235,0.00016778179,0.9776875,0.020052256,0.00008724937,0.000024030898,0.0007104213],"study_design_scores_gemma":[0.00067267794,0.00006988209,0.00000802088,0.0006248354,0.000014654559,0.000058138943,0.00004644862,0.9974902,0.00043226808,0.00018912167,0.000090062946,0.00030366014],"about_ca_topic_score_codex":0.000023187727,"about_ca_topic_score_gemma":0.0000044011417,"teacher_disagreement_score":0.9770452,"about_ca_system_score_codex":0.00014780616,"about_ca_system_score_gemma":0.000006170311,"threshold_uncertainty_score":0.9383102},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027760325,0.00022549737,0.9959073,0.000018153774,0.00029119046,0.0006033967,0.000020817044,0.00011447544,0.00004315648],"genre_scores_gemma":[0.54761195,4.2934204e-7,0.45224383,0.0000015147504,0.000052495878,0.00002631043,0.0000025086547,0.000032409356,0.000028545215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99647456,0.00016423511,0.0013411944,0.0004415816,0.0010489133,0.000529496],"domain_scores_gemma":[0.9965208,0.002179124,0.00019079776,0.00053511333,0.00031972912,0.00025444353],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0056976564,0.0003034711,0.0008064655,0.00037030637,0.00002929076,0.00009013563,0.0006074182,0.000120496865,0.000026974325],"category_scores_gemma":[0.009825676,0.00023617239,0.00008704963,0.0010866808,0.00006398461,0.00020151028,0.00014170751,0.00031655235,0.000032318672],"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":[0.0000106661555,0.00008675869,0.000006972234,0.00016344604,0.000022063376,0.000012069654,0.0002438573,0.9933031,0.0009095735,0.0051289145,0.000071613686,0.000040967767],"study_design_scores_gemma":[0.00042268148,0.000076684366,0.0000034747932,0.00030931443,0.000025704994,0.000090361704,0.000111282025,0.98715055,0.00019890607,0.011328676,0.000017836652,0.00026454782],"about_ca_topic_score_codex":0.000014351818,"about_ca_topic_score_gemma":1.2218935e-7,"teacher_disagreement_score":0.5448359,"about_ca_system_score_codex":0.00017971206,"about_ca_system_score_gemma":0.00013128723,"threshold_uncertainty_score":0.998515},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074910517,0.000029779929,0.9915081,0.000040722363,0.0000110847095,0.0007604339,0.000009954566,0.000060912498,0.00008796249],"genre_scores_gemma":[0.2922258,0.0000013213821,0.7069173,0.00000305818,0.000018707866,0.0007219668,0.000001326118,0.000022609991,0.000087933025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999014,0.0000054532834,0.0004064368,0.00018612338,0.00012883323,0.00025912927],"domain_scores_gemma":[0.99903417,0.00066321477,0.00004181776,0.0001320933,0.000048668655,0.00008002366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001928383,0.00013292082,0.00029250764,0.00006717343,0.000031255666,0.000026467207,0.00011738946,0.00004842343,0.00004401634],"category_scores_gemma":[0.000437587,0.000113321745,0.000032429947,0.00014399353,0.000057367404,0.00011116578,0.00007349071,0.00009272255,0.00000893884],"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":[0.000008106341,0.00030875957,0.0000040268164,0.0057240627,0.000034790628,6.7146436e-7,0.0011348447,0.6123628,0.014726464,0.35794196,0.000019401721,0.0077340933],"study_design_scores_gemma":[0.00010423792,0.000033669574,0.0000020305233,0.00013621806,0.0000072239072,0.0000058012292,0.000023296616,0.72584355,0.00008874532,0.27365392,0.000003347153,0.000097947486],"about_ca_topic_score_codex":0.000006161068,"about_ca_topic_score_gemma":2.4591114e-7,"teacher_disagreement_score":0.28473476,"about_ca_system_score_codex":0.000016555234,"about_ca_system_score_gemma":0.0000061051005,"threshold_uncertainty_score":0.46211267},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33425498,0.000598802,0.6580103,0.00009129323,0.0007366079,0.0025245487,0.000012804822,0.0008215235,0.0029491233],"genre_scores_gemma":[0.9980437,0.0000017217297,0.0012706738,0.000009804411,0.0000988679,0.00045562544,0.000008118031,0.00008363609,0.000027818109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99750775,0.000094625466,0.00096066523,0.000269848,0.00039022934,0.00077688537],"domain_scores_gemma":[0.9983201,0.0009983812,0.000064542604,0.00042787,0.000022780761,0.00016634206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014549274,0.00038016555,0.0007880726,0.0003529375,0.00002504767,0.00007597001,0.00018853722,0.00022222495,0.000032958287],"category_scores_gemma":[0.0004622381,0.0003534046,0.00012149533,0.00037155164,0.000027585716,0.0002782524,0.000022040813,0.00037224102,0.00005207983],"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":[0.000029184286,0.00009362399,0.000760693,0.0010685635,0.000021899754,0.0000018977536,0.0005258006,0.98831326,0.0077442764,0.001292056,0.000005351925,0.00014337365],"study_design_scores_gemma":[0.0018393672,0.000040283183,0.00072773086,0.00090210594,0.000013040778,0.0000030318984,0.00010004953,0.99538386,0.00014500262,0.00038064632,0.000080278856,0.00038459923],"about_ca_topic_score_codex":0.000021349897,"about_ca_topic_score_gemma":0.000002432657,"teacher_disagreement_score":0.66378874,"about_ca_system_score_codex":0.00044762157,"about_ca_system_score_gemma":0.000013902038,"threshold_uncertainty_score":0.9998918},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009033912,0.0007464452,0.9893848,0.00006886005,0.00013102616,0.00031589158,3.27053e-7,0.00010583939,0.00021290561],"genre_scores_gemma":[0.98602885,0.00013164654,0.013482201,0.000030797535,0.000037721136,0.00018930186,0.0000064496526,0.00002245741,0.00007057921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986413,0.00005729633,0.00044937813,0.00022981317,0.00012522908,0.0004969687],"domain_scores_gemma":[0.9991668,0.00025543218,0.00004866235,0.0003962632,0.00004641654,0.00008646306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000736215,0.00018145567,0.00024254339,0.00015593963,0.000048508085,0.00010774093,0.000527451,0.00009919413,0.000009790433],"category_scores_gemma":[0.000059091726,0.00017621552,0.000042190986,0.00058879174,0.000019268497,0.00043946458,0.0001752759,0.00022355866,0.0000044009043],"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":[6.9087884e-7,0.00010720523,0.00003434752,0.00005186288,0.0000028947659,4.816243e-7,0.00031433924,0.7744401,0.0011516563,0.22072917,0.000007887983,0.003159344],"study_design_scores_gemma":[0.00029554305,0.000023744122,0.00005464981,0.00018938928,0.0000019218014,0.0000030356193,0.000008585539,0.99814785,0.00024663578,0.0006257309,0.00019147006,0.00021145366],"about_ca_topic_score_codex":0.0000021076323,"about_ca_topic_score_gemma":0.000019964069,"teacher_disagreement_score":0.97699493,"about_ca_system_score_codex":0.00012258442,"about_ca_system_score_gemma":0.000019066307,"threshold_uncertainty_score":0.718586},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08279369,0.0002137507,0.9116805,0.00031493988,0.00029075777,0.0008241696,0.000008462282,0.00013793819,0.0037357889],"genre_scores_gemma":[0.98351043,5.755411e-7,0.016046524,0.000031317468,0.00003949991,0.00017143921,0.000005405731,0.00003221751,0.00016256259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949833,0.0001329743,0.0011908605,0.00051756355,0.002750444,0.0004248353],"domain_scores_gemma":[0.9974072,0.001181664,0.00015092293,0.0006108504,0.00039107015,0.000258285],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009460818,0.00022955408,0.0004752829,0.00037369918,0.00003727147,0.0003010494,0.00074287725,0.0001226843,0.00055967795],"category_scores_gemma":[0.011430703,0.00018042348,0.000065654574,0.000912694,0.00004195995,0.00041114484,0.00016305875,0.00027997524,0.0005560905],"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":[0.0000143978305,0.00038043375,0.0020754822,0.00014059806,0.000013697493,0.0000064998358,0.0036465658,0.95618343,0.0020181076,0.002901453,0.024587588,0.008031739],"study_design_scores_gemma":[0.0007111585,0.000022074919,0.00011473825,0.0001349418,0.000007763774,0.000009018769,0.0003554599,0.91410714,0.00024609218,0.081289545,0.0027778677,0.00022418087],"about_ca_topic_score_codex":0.0000033934639,"about_ca_topic_score_gemma":0.0000033533456,"teacher_disagreement_score":0.9007168,"about_ca_system_score_codex":0.00016218348,"about_ca_system_score_gemma":0.000069267546,"threshold_uncertainty_score":0.99689645},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024576383,0.0004019283,0.9725717,0.00015311087,0.00013574354,0.0014762422,0.00042055902,0.00004599353,0.00021834785],"genre_scores_gemma":[0.912523,0.000047156234,0.086717494,0.0000019474908,0.00008779199,0.00021900174,0.000012245096,0.000089670975,0.00030169805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656844,0.000076918215,0.0019132235,0.00036370187,0.00045237778,0.000625324],"domain_scores_gemma":[0.99532807,0.0030064129,0.00054627564,0.0006166492,0.00038940646,0.00011319185],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012929003,0.00035186321,0.0011764477,0.0004652851,0.000044508928,0.000025689442,0.00037157396,0.00025272073,0.000059568505],"category_scores_gemma":[0.0025161174,0.000272721,0.000370937,0.0005815299,0.000161507,0.00015016344,0.00016989002,0.00017735003,0.000018079498],"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":[0.00002533567,0.0016085608,0.000049022838,0.022994293,0.0006635456,0.0000023222424,0.0015895544,0.03447635,0.050277114,0.88745165,0.00002709553,0.00083514786],"study_design_scores_gemma":[0.0011785147,0.00022194415,0.00002237753,0.013489952,0.00039182804,0.000008117927,0.00022687232,0.9010175,0.0036176261,0.079405814,0.000028331402,0.00039113584],"about_ca_topic_score_codex":0.000025805692,"about_ca_topic_score_gemma":0.000012645726,"teacher_disagreement_score":0.8879466,"about_ca_system_score_codex":0.00018434238,"about_ca_system_score_gemma":0.00008605543,"threshold_uncertainty_score":0.9999725},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039407488,0.00055229815,0.95568943,0.00002308498,0.0001719533,0.0005367467,0.000014688893,0.00034621867,0.0032581177],"genre_scores_gemma":[0.99729824,0.000040123155,0.002384347,0.000005454082,0.00005013421,0.00009462174,0.000002496636,0.00008914353,0.00003542504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818707,0.000024706593,0.00079517957,0.00023116077,0.00030471085,0.0004572043],"domain_scores_gemma":[0.99895376,0.000432717,0.000090026944,0.0003515799,0.0000622304,0.0001096847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024373381,0.00030899746,0.0005785013,0.00018288364,0.00002281985,0.000015057851,0.00024183933,0.0001205709,0.0000391684],"category_scores_gemma":[0.00017671188,0.00025079475,0.00009107769,0.00021711296,0.000026699192,0.00047728056,0.000022206345,0.00024566526,0.000029825882],"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":[0.0000027501796,0.000065624656,0.00049183675,0.0010822484,0.00006521147,0.000005874883,0.00015689668,0.7973667,0.18304546,0.017317075,0.00004155826,0.00035874915],"study_design_scores_gemma":[0.0017922843,0.000053592354,0.00043175928,0.0029972056,0.000018286724,0.000008562146,0.000012676934,0.9427936,0.0022513466,0.049007084,0.00006935959,0.0005642258],"about_ca_topic_score_codex":0.00000684919,"about_ca_topic_score_gemma":0.0000019326014,"teacher_disagreement_score":0.95789075,"about_ca_system_score_codex":0.00024887457,"about_ca_system_score_gemma":0.0000121324065,"threshold_uncertainty_score":0.99999446},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023142386,0.0000398453,0.97202533,0.0013712037,0.000054601296,0.0014789323,0.0000056475587,0.00034237292,0.0015396972],"genre_scores_gemma":[0.9550964,0.000039910603,0.042859007,0.00006525726,0.00005481227,0.0005085062,0.0000056631657,0.000074838994,0.0012956101],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986198,0.000014718538,0.00039596684,0.00031084457,0.00023853358,0.0004201698],"domain_scores_gemma":[0.9993713,0.00015043971,0.000025912499,0.00023502645,0.00005909684,0.00015824857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037178752,0.00021376272,0.00037950618,0.00019428527,0.000026689668,0.000023566132,0.00008821819,0.00012509548,0.00004998459],"category_scores_gemma":[0.00045572474,0.00014852245,0.000096596195,0.0001756079,0.000055820157,0.00014106753,0.00002223842,0.00017062026,0.000029247894],"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":[0.00014786293,0.0014090951,0.0011673266,0.0064141783,0.00021851964,0.00004034732,0.0043172482,0.0078007635,0.5737626,0.40168828,0.00035268735,0.0026811],"study_design_scores_gemma":[0.008723677,0.0016213793,0.00020821155,0.009574413,0.00025012376,0.00014833138,0.00010512569,0.32032442,0.2338073,0.4227679,0.0013380963,0.0011309892],"about_ca_topic_score_codex":0.000004530426,"about_ca_topic_score_gemma":0.0000016347991,"teacher_disagreement_score":0.931954,"about_ca_system_score_codex":0.00019808,"about_ca_system_score_gemma":0.000029538212,"threshold_uncertainty_score":0.6056569},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017566436,0.00038375,0.99582106,0.0011343214,0.000070699185,0.00039149864,4.05018e-7,0.00011348851,0.00032816417],"genre_scores_gemma":[0.94991684,0.00015035823,0.04959315,0.00006509203,0.000019851434,0.0001606061,7.0151754e-7,0.000014682712,0.00007873088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909,0.000033134915,0.00031579068,0.00023521455,0.00008652151,0.00023930114],"domain_scores_gemma":[0.99907166,0.00043039743,0.00004263896,0.0003213014,0.000069311485,0.00006471049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059094053,0.00013225124,0.00018360722,0.00008244498,0.00007223097,0.00008369316,0.00026357503,0.00005774191,0.000011596418],"category_scores_gemma":[0.00031332695,0.00009559031,0.000028273822,0.00020715794,0.000027158478,0.00030983772,0.00021294745,0.00011757562,0.000005960242],"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":[0.0000024194599,0.00006343903,0.000042433036,0.00011199996,0.000020986972,0.0000011443225,0.0014963526,0.15281771,0.008324608,0.8148682,0.00017579492,0.022074884],"study_design_scores_gemma":[0.0003895125,0.00004316093,0.000083879786,0.00051729864,0.000002200379,0.0000065930067,0.000009993096,0.99373406,0.00041924248,0.004051772,0.00056617486,0.00017612871],"about_ca_topic_score_codex":2.5963146e-7,"about_ca_topic_score_gemma":0.0000013414891,"teacher_disagreement_score":0.9481602,"about_ca_system_score_codex":0.000060386286,"about_ca_system_score_gemma":0.000011954606,"threshold_uncertainty_score":0.38980594},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13351355,0.00016203968,0.8657366,0.00006650653,0.000040223134,0.0002086024,0.0000029162723,0.0001540847,0.0001154779],"genre_scores_gemma":[0.99425024,0.0000545703,0.005588285,0.0000063671487,0.00001522213,0.000039345574,3.8170646e-7,0.00002718153,0.000018400831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910104,0.000004579519,0.0003943012,0.0001391248,0.00012230464,0.00023864367],"domain_scores_gemma":[0.9995073,0.0002458582,0.00001940318,0.00012769009,0.000024834648,0.00007488003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026769645,0.00015422973,0.00033448744,0.0000915545,0.00001364166,0.0000099175295,0.000079272635,0.00011249296,0.00003310298],"category_scores_gemma":[0.00014831038,0.00010209489,0.000039963074,0.00007620959,0.000024762256,0.00010115993,0.000027324295,0.000098651726,0.000005729727],"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":[0.0000021020498,0.000009919539,0.000016840357,0.00020807139,0.000010451514,9.575192e-7,0.00004291269,0.632309,0.30714363,0.060174968,0.0000018484527,0.000079267695],"study_design_scores_gemma":[0.0008456487,0.000022834043,0.000012719234,0.00032005864,0.000009601742,0.0000037539646,0.000003750952,0.9565767,0.004991412,0.037074078,0.0000021095664,0.00013735074],"about_ca_topic_score_codex":0.0000010194387,"about_ca_topic_score_gemma":0.000001818799,"teacher_disagreement_score":0.86073667,"about_ca_system_score_codex":0.000030423389,"about_ca_system_score_gemma":0.0000051155635,"threshold_uncertainty_score":0.4163309},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01596049,0.000014951577,0.98238254,0.00018691056,0.00017707596,0.0010415331,0.00001714926,0.00016825253,0.000051088693],"genre_scores_gemma":[0.48735464,0.0000030920687,0.511808,0.000012268591,0.000050218434,0.0006324306,0.0000062100653,0.000049535185,0.000083622064],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851924,0.000057711866,0.00055392535,0.000307786,0.00022063611,0.00034071004],"domain_scores_gemma":[0.99638134,0.0031006653,0.00010400916,0.000248403,0.000054377117,0.00011121226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059649744,0.00024240585,0.00040850558,0.00019947764,0.00005641069,0.000040101862,0.000103503306,0.000085819156,0.000026690013],"category_scores_gemma":[0.002708505,0.00017970578,0.00009298027,0.00017550297,0.00004376024,0.000107958724,0.00002597087,0.00012858673,0.000008719908],"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":[0.00028745347,0.0040138755,0.0002261956,0.0072434144,0.0003072442,0.00001703159,0.001573322,0.20412509,0.022540266,0.21111101,0.0005297086,0.54802537],"study_design_scores_gemma":[0.0008527869,0.00015853961,0.000044716937,0.00061977777,0.00003871369,0.000008135353,0.000009225216,0.7557902,0.0017633395,0.2404761,0.000033228473,0.00020523468],"about_ca_topic_score_codex":0.0000031608993,"about_ca_topic_score_gemma":0.0000018387332,"teacher_disagreement_score":0.5516651,"about_ca_system_score_codex":0.00011972912,"about_ca_system_score_gemma":0.000023445898,"threshold_uncertainty_score":0.7328189},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024169167,0.00025645248,0.97444963,0.000053085838,0.00034455914,0.00024628735,0.0000021133158,0.0007679743,0.02146295],"genre_scores_gemma":[0.99704415,0.000044732536,0.0023645351,0.000014414712,0.000121891215,0.00015730708,0.0000017072335,0.000097840166,0.00015341872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855864,0.000012107908,0.000491881,0.00021825136,0.00021179608,0.0005073145],"domain_scores_gemma":[0.99925524,0.0002709352,0.0000237238,0.00030095776,0.00003698364,0.00011214308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031830507,0.0002624587,0.00028760982,0.00018027207,0.000017477192,0.000028686234,0.0002056146,0.00014444545,0.00037586514],"category_scores_gemma":[0.00017437414,0.00019896467,0.0000572971,0.00040264532,0.000028904878,0.00024486915,0.000005435264,0.00033532566,0.00019517257],"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":[5.2618475e-7,0.000022366357,0.00012310097,0.00012417437,0.000032036805,0.000014976311,0.00004673986,0.9704718,0.012913325,0.014236779,0.00029580746,0.0017183645],"study_design_scores_gemma":[0.00056703587,0.00001753884,0.00008506218,0.00078487734,0.000012574754,0.00008537603,0.000007937282,0.972875,0.0029991488,0.021048954,0.0010076665,0.0005088307],"about_ca_topic_score_codex":0.000003066322,"about_ca_topic_score_gemma":0.0000018391721,"teacher_disagreement_score":0.99462724,"about_ca_system_score_codex":0.00025673083,"about_ca_system_score_gemma":0.0000129831,"threshold_uncertainty_score":0.8113544},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002223519,0.00041987412,0.9964345,0.00016313264,0.00000481139,0.00011141977,7.86824e-7,0.000062438536,0.0005794804],"genre_scores_gemma":[0.9620954,0.00014939593,0.037457034,0.000004664445,0.0000112785465,0.00009961705,4.474803e-7,0.000007788757,0.0001743848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992068,0.000008616652,0.0002690645,0.0002123428,0.000112519614,0.00019068838],"domain_scores_gemma":[0.99958324,0.00014489915,0.000035102523,0.00017832748,0.000014113272,0.00004429704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026413522,0.0000919691,0.00021992064,0.00025314483,0.000018941557,0.000048500573,0.00024185357,0.000031136096,0.000025934887],"category_scores_gemma":[0.00006901525,0.00006462347,0.00003711747,0.0009718683,0.000013632199,0.0005740532,0.00013099451,0.00005269251,0.000022528597],"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":[0.0000032544117,0.00020500715,0.006259182,0.00090774556,0.00014872877,0.000012549174,0.0012404268,0.20345055,0.010279516,0.6508342,0.000004032147,0.12665483],"study_design_scores_gemma":[0.00016405569,0.000018746137,0.000627282,0.00021110712,0.000023534225,0.0000069829016,0.000007097703,0.96702945,0.00045795678,0.030487044,0.0007384082,0.00022831249],"about_ca_topic_score_codex":8.8923105e-7,"about_ca_topic_score_gemma":0.0000066564203,"teacher_disagreement_score":0.9598719,"about_ca_system_score_codex":0.000023188619,"about_ca_system_score_gemma":0.0000035000314,"threshold_uncertainty_score":0.26352686},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015641041,0.000021068303,0.98190814,0.000025201894,0.00007416076,0.0010610435,0.000008280337,0.000730749,0.00053031626],"genre_scores_gemma":[0.94172686,0.000003019166,0.057279613,0.000003676884,0.000029656467,0.00058674184,0.0000093108465,0.000056743942,0.00030437688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998786,0.000010571939,0.0003985181,0.00021912724,0.00016337658,0.000422441],"domain_scores_gemma":[0.9996122,0.00007174549,0.000043220025,0.00018825148,0.00001999821,0.000064555716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002991953,0.00024051922,0.00023739277,0.000157094,0.000032556643,0.00006813838,0.00018513115,0.00005834187,0.0000063307107],"category_scores_gemma":[0.000016287533,0.00016170843,0.00009060462,0.00016281378,0.0000136624185,0.00013438445,0.00005090827,0.00009290795,0.0000113561],"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":[0.000004819061,0.000025334157,0.000017904707,0.0028852096,0.000047340414,0.0000014347838,0.00014731655,0.9831796,0.00015676225,0.012345006,0.000015494721,0.0011737475],"study_design_scores_gemma":[0.0010095194,0.000016102747,0.000016096372,0.0009460505,0.00003386983,7.0392053e-7,0.00008116326,0.99694514,0.00009810414,0.00048450907,0.000107132546,0.00026160743],"about_ca_topic_score_codex":0.0000017428471,"about_ca_topic_score_gemma":0.000004691195,"teacher_disagreement_score":0.9260858,"about_ca_system_score_codex":0.00027433113,"about_ca_system_score_gemma":0.0000018351269,"threshold_uncertainty_score":0.6594279},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9597502,0.0010921113,0.036033403,0.00007897086,0.00016394405,0.00020531133,0.000006598257,0.000037955346,0.0026315537],"genre_scores_gemma":[0.99759054,0.0001418633,0.0019878526,0.0000032275418,0.00002373699,0.00008718042,1.9144359e-7,0.000018260114,0.00014712899],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99905604,0.0000032260764,0.0004283086,0.00020230236,0.000027624461,0.0002825048],"domain_scores_gemma":[0.9997312,0.000065589105,0.00004772859,0.000110285524,0.0000034118123,0.000041778105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003305338,0.00011587713,0.00023766702,0.00019231331,0.000014010445,0.000035118905,0.000086311025,0.00006595838,0.000054730262],"category_scores_gemma":[0.000095071824,0.00010129853,0.00002538933,0.00010026854,0.000028096001,0.00021927823,0.000050889805,0.00009986406,0.000036642483],"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":[0.0000069739663,0.00019787434,0.19312525,0.0005137645,0.000008672244,0.000027020447,0.0005449282,0.001042885,0.004503879,0.79477185,0.000004797318,0.0052520907],"study_design_scores_gemma":[0.0016203431,0.00015211425,0.50830543,0.0016711284,0.0000049536907,0.000021910115,0.00005592342,0.033892903,0.0002107436,0.45292604,0.00038338365,0.00075514795],"about_ca_topic_score_codex":0.000012670132,"about_ca_topic_score_gemma":0.0000031875084,"teacher_disagreement_score":0.3418458,"about_ca_system_score_codex":0.000090171125,"about_ca_system_score_gemma":0.0000033779666,"threshold_uncertainty_score":0.4130834},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29500845,0.00029462407,0.69014305,0.00026980657,0.000111223366,0.0012451103,0.00008673917,0.00013776976,0.012703218],"genre_scores_gemma":[0.9956876,0.0000021554588,0.0025955995,0.0000024287951,0.00002338853,0.00015277139,0.000002828777,0.000023981553,0.0015092414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986711,0.000016154974,0.00062743935,0.00034579184,0.000084958934,0.00025451105],"domain_scores_gemma":[0.9992275,0.00019537294,0.00021251861,0.00026629012,0.00003624363,0.0000620654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041892714,0.00019486819,0.0005547304,0.0002541287,0.000045798573,0.0000431718,0.00016795525,0.00004950521,0.00081090943],"category_scores_gemma":[0.00009365124,0.00012907316,0.00006277573,0.00022994725,0.000032228236,0.00017757017,0.00007241034,0.00010661529,0.00009116325],"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":[0.00012896761,0.0024640502,0.17917998,0.0011570088,0.0008154453,0.00006350231,0.00896605,0.055003025,0.00012478877,0.74992436,0.0007030804,0.0014697419],"study_design_scores_gemma":[0.001471266,0.00024490658,0.0148801245,0.0007088241,0.0000117404115,0.000010106088,0.00047379785,0.9683265,0.000007114234,0.012951877,0.0004933619,0.0004203437],"about_ca_topic_score_codex":0.000047507576,"about_ca_topic_score_gemma":0.00010071534,"teacher_disagreement_score":0.9133235,"about_ca_system_score_codex":0.00018616712,"about_ca_system_score_gemma":0.000007652004,"threshold_uncertainty_score":0.88788897},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030777449,0.00013849809,0.9684211,0.000017130313,0.00004513392,0.00042557035,0.0000012981371,0.00012657828,0.000047216912],"genre_scores_gemma":[0.982694,0.000005088456,0.0171511,8.456545e-7,0.000025405792,0.00007938989,0.0000010442947,0.000034392957,0.000008755587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993229,0.00002119171,0.00027747828,0.00012081278,0.00011726773,0.00014036914],"domain_scores_gemma":[0.9996597,0.00012617742,0.000040449748,0.00010707112,0.000030382691,0.000036205165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002046455,0.00013201103,0.00020280473,0.00010366239,0.000009393806,0.000010756424,0.00004941729,0.00006440841,0.000009376424],"category_scores_gemma":[0.000043955464,0.00009332777,0.0000146543825,0.00009740281,0.000026986405,0.00020842746,0.0000065416007,0.000066702414,0.000003869849],"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":[0.0000128563,0.000027881675,0.000078636964,0.00025190823,0.000020142148,6.4269733e-7,0.00014867939,0.8734518,0.12312259,0.00075167976,0.0000021596063,0.0021309804],"study_design_scores_gemma":[0.0009521851,0.00007414411,0.00013326414,0.00049629185,0.00000891595,0.000010804211,0.000030533316,0.98272353,0.015331142,0.000112846275,0.0000054289676,0.00012093177],"about_ca_topic_score_codex":0.0000014228594,"about_ca_topic_score_gemma":7.576277e-7,"teacher_disagreement_score":0.9519165,"about_ca_system_score_codex":0.00013316084,"about_ca_system_score_gemma":0.0000048705338,"threshold_uncertainty_score":0.3805796},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15809757,0.00007897602,0.8403477,0.000008381086,0.000045077755,0.00047395396,9.035161e-7,0.00044528334,0.0005021808],"genre_scores_gemma":[0.5410075,0.000004748064,0.4588918,9.643279e-7,0.000008251425,0.00003956963,2.0422343e-7,0.000044559827,0.000002335598],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984706,0.00003424294,0.0006214562,0.00022476139,0.0002169763,0.00043194357],"domain_scores_gemma":[0.99912184,0.0004631684,0.000046325236,0.00027783582,0.000023460696,0.00006735079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005892362,0.00027260266,0.00042832634,0.00029344697,0.000009013472,0.000011813853,0.00014710464,0.000102494865,0.000026998749],"category_scores_gemma":[0.00022378952,0.00022714783,0.000049495964,0.00025889065,0.00003786329,0.0001207857,0.0000692677,0.000176578,0.000009107195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045208867,0.000048686947,0.000045107045,0.0006250309,0.000025839336,0.000016813668,0.0007113065,0.19612378,0.7994591,0.0026214672,0.0000043888,0.00031395422],"study_design_scores_gemma":[0.0007554159,0.000106396474,0.00005619653,0.002873487,0.000013925472,0.00005300011,0.00006267437,0.3867172,0.5660075,0.042794105,0.0000030571941,0.0005570692],"about_ca_topic_score_codex":0.0000044902667,"about_ca_topic_score_gemma":8.296456e-7,"teacher_disagreement_score":0.38290998,"about_ca_system_score_codex":0.00032270674,"about_ca_system_score_gemma":0.000010205207,"threshold_uncertainty_score":0.926282},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012393877,0.00007335791,0.99462914,0.000061393854,0.000115362105,0.0011574966,0.000008274108,0.0005320122,0.0021835573],"genre_scores_gemma":[0.22984985,0.000013233984,0.76888216,0.000008149362,0.00011147367,0.00065821764,0.000005491229,0.00019569448,0.00027572468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985363,0.000015291636,0.0004339693,0.000248885,0.00022464752,0.0005408935],"domain_scores_gemma":[0.99867266,0.00046744273,0.0000784654,0.00063368573,0.00005749538,0.00009025063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092408614,0.00030316683,0.00035921103,0.000104060455,0.00020881633,0.00022572537,0.00049478025,0.00011118452,0.000027523447],"category_scores_gemma":[0.00028659552,0.00022139399,0.00006418032,0.0001579592,0.00006611453,0.00028319177,0.00006924554,0.0003523591,0.00002137508],"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":[0.0000020087023,0.000022609629,0.000039943407,0.0004547378,0.000058345508,0.0000020981427,0.00044448322,0.99021095,0.0009919006,0.0004985614,0.0000558181,0.007218554],"study_design_scores_gemma":[0.0006656822,0.0000359514,0.00006123423,0.0004718798,0.000026141663,0.00002166637,0.000024565206,0.9962487,0.0008652173,0.0007288167,0.00054083054,0.0003092896],"about_ca_topic_score_codex":0.0000048654915,"about_ca_topic_score_gemma":0.0000017842839,"teacher_disagreement_score":0.22861047,"about_ca_system_score_codex":0.00011225157,"about_ca_system_score_gemma":0.000013600361,"threshold_uncertainty_score":0.9028185},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13504313,0.00006318012,0.8638737,0.000013087419,0.000252958,0.00020963755,0.0000010134096,0.00029376528,0.00024951855],"genre_scores_gemma":[0.8953057,0.000017242426,0.10447775,8.2832037e-7,0.000059945858,0.000016549846,0.000004797616,0.0000762006,0.00004096755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848413,0.00001154685,0.0005986518,0.00023686407,0.0002233759,0.0004454353],"domain_scores_gemma":[0.99920785,0.000076193865,0.00005858561,0.0005128531,0.000032048534,0.00011247342],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048185716,0.00027131077,0.00043688595,0.00021579747,0.00007916147,0.00007690768,0.0002629134,0.0001666591,0.00002520513],"category_scores_gemma":[0.00014939767,0.00025297262,0.00009506812,0.00008945413,0.000012730017,0.00030052982,0.000081541395,0.0002757372,0.000018520675],"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":[0.0000020569994,0.000015009075,0.000031091655,0.0010700594,0.000031278978,0.0000033214537,0.0008381966,0.81137305,0.18486378,0.00041701645,8.5835774e-7,0.0013542708],"study_design_scores_gemma":[0.00059843244,0.000011357359,0.0010589649,0.0004853636,0.000023517801,0.000015941896,0.000005356703,0.95712316,0.038354896,0.0020261612,0.000011357509,0.0002854711],"about_ca_topic_score_codex":0.000028898206,"about_ca_topic_score_gemma":0.000007772932,"teacher_disagreement_score":0.7602626,"about_ca_system_score_codex":0.00014437822,"about_ca_system_score_gemma":0.00000626461,"threshold_uncertainty_score":0.99999225},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28056645,0.00018629094,0.7118759,0.000027366004,0.0004799528,0.00288388,0.000004137433,0.0006181244,0.003357865],"genre_scores_gemma":[0.99659,0.00000543006,0.002576444,0.0000033786391,0.0000402675,0.00057578046,0.0000020131104,0.000108056614,0.00009862961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826515,0.000029385714,0.0006672819,0.00032785194,0.00023675966,0.0004735606],"domain_scores_gemma":[0.99888635,0.00019059259,0.000084223684,0.00070972904,0.000031146163,0.00009793571],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043280097,0.0003579509,0.0005619373,0.00029019438,0.00007202531,0.00013343012,0.00031441642,0.00015326869,0.000021247994],"category_scores_gemma":[0.00048920367,0.00034642554,0.000053975404,0.00021818232,0.000020991256,0.000325949,0.00007246887,0.0005287921,0.000041497216],"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":[0.0000021272006,0.00024145965,0.00022803195,0.0005594276,0.000034499877,0.00052201474,0.0012363197,0.99565077,0.00044626815,0.0005093363,0.000004899099,0.0005648558],"study_design_scores_gemma":[0.0013414916,0.0000945573,0.00006647892,0.00087196793,0.000018452649,0.00024450372,0.00020540589,0.9953631,0.00003168731,0.0013556309,0.000026455471,0.00038027664],"about_ca_topic_score_codex":0.00009214435,"about_ca_topic_score_gemma":0.0003296961,"teacher_disagreement_score":0.71602356,"about_ca_system_score_codex":0.00021064583,"about_ca_system_score_gemma":0.0000079615065,"threshold_uncertainty_score":0.9998988},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21751842,0.000006506973,0.7798316,0.0000023223079,0.000028956865,0.00034958855,0.0000018763684,0.000027879198,0.002232885],"genre_scores_gemma":[0.9590434,9.786255e-7,0.040859617,6.704283e-7,0.0000082169945,0.000054629443,0.0000045531283,0.000025625315,0.0000023319662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989677,0.000006275872,0.0005376974,0.00015756523,0.00015878568,0.00017198434],"domain_scores_gemma":[0.9994107,0.00016520103,0.000118786935,0.00025353438,0.000021877782,0.000029892692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003402902,0.00013503502,0.0002671629,0.00027191907,0.000011926657,0.0000236821,0.00016650648,0.0000840047,0.0000026001378],"category_scores_gemma":[0.0004923164,0.00013965322,0.000025988573,0.00018789766,0.000010156334,0.00012797114,0.000021503594,0.00020461445,0.0000017892031],"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":[0.0000059167805,0.000052766107,0.00033738514,0.0013725772,0.0000035168252,3.2156265e-7,0.0005867528,0.9365888,0.05742275,0.0018575889,3.4309053e-7,0.0017712372],"study_design_scores_gemma":[0.00044883587,0.000014858524,0.0038938876,0.0009381567,0.00000512017,6.3055603e-7,0.00003205811,0.9721222,0.0135443965,0.008884512,7.444163e-8,0.000115273215],"about_ca_topic_score_codex":0.000025036608,"about_ca_topic_score_gemma":0.000007986695,"teacher_disagreement_score":0.74152493,"about_ca_system_score_codex":0.00012242672,"about_ca_system_score_gemma":0.00001758525,"threshold_uncertainty_score":0.5694893},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029511197,0.000039326645,0.96656644,0.000110720925,0.00020729184,0.0018415767,0.0000053607496,0.0002893002,0.0014287983],"genre_scores_gemma":[0.97913253,0.000026725957,0.019152937,0.000015788675,0.00011844349,0.0014003573,0.0000017553284,0.00007641035,0.000075036376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986392,0.000009685506,0.00036590846,0.0002729481,0.00016735557,0.0005448812],"domain_scores_gemma":[0.9991803,0.00015676086,0.00005995761,0.00042653814,0.000085627784,0.00009079267],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000430389,0.00025657954,0.00031782885,0.00013445351,0.00012041396,0.00017345793,0.00024739755,0.00017356199,0.0000064819765],"category_scores_gemma":[0.00077824545,0.0002498868,0.00009785034,0.000118578384,0.000051302468,0.0003475359,0.00006329445,0.00029627013,0.000019124409],"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":[0.000011164042,0.000027719665,0.000011437505,0.00077486003,0.000024572897,0.0000013291262,0.00040985123,0.9859015,0.0051060882,0.0025491447,0.0000054808343,0.005176899],"study_design_scores_gemma":[0.0007758654,0.00005506617,0.00029117535,0.00054093136,0.000011725825,0.00000924786,0.000016431553,0.9872346,0.0037243045,0.006817349,0.00022310799,0.00030017807],"about_ca_topic_score_codex":0.000042795073,"about_ca_topic_score_gemma":0.000014478562,"teacher_disagreement_score":0.9496213,"about_ca_system_score_codex":0.0005241979,"about_ca_system_score_gemma":0.00001891825,"threshold_uncertainty_score":0.99999535},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036321722,0.00018769398,0.9617837,0.000043054704,0.00022227761,0.0011849708,0.00000796023,0.0002021933,0.000046396322],"genre_scores_gemma":[0.7667185,0.0000014906876,0.23313153,0.0000032643534,0.00003993397,0.00005915858,0.0000020794034,0.000038237788,0.000005803321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740344,0.00007112353,0.0007636352,0.00053061557,0.00042964824,0.0008015621],"domain_scores_gemma":[0.9979028,0.00032906974,0.00052335265,0.00095842883,0.00015513985,0.00013117536],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00081247697,0.0003573595,0.00075942586,0.00015565094,0.00016912993,0.0002615683,0.0011874419,0.00016072334,0.0000011046895],"category_scores_gemma":[0.00039606306,0.00033942307,0.00012392424,0.0002310402,0.00014162829,0.00070985407,0.00048099193,0.00041780467,0.0000024601975],"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":[0.00002136464,0.00039194693,0.00008151675,0.00040312237,0.00008501216,0.000032093907,0.0003852491,0.94897056,0.0070239115,0.035162304,3.1725216e-7,0.00744258],"study_design_scores_gemma":[0.0010284985,0.00016602484,0.00017595461,0.0012700991,0.000027853062,0.000030427194,0.00006003203,0.9949433,0.00011994855,0.0018408604,0.000008171196,0.000328817],"about_ca_topic_score_codex":0.000047300964,"about_ca_topic_score_gemma":0.000009932401,"teacher_disagreement_score":0.7303968,"about_ca_system_score_codex":0.0002952849,"about_ca_system_score_gemma":0.000044672106,"threshold_uncertainty_score":0.99990577},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92888606,0.00007953059,0.06875535,0.000017428989,0.0007977121,0.00047506843,0.000018095749,0.0007269732,0.00024379492],"genre_scores_gemma":[0.9712965,0.00001607836,0.028324116,0.0000020395257,0.00025513483,0.000029296894,0.0000056513313,0.0000691557,0.0000020589903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986096,0.000010125734,0.00047044829,0.00027738995,0.0001817595,0.00045064613],"domain_scores_gemma":[0.998573,0.00016211132,0.000055502478,0.0011132847,0.000015146409,0.000080969614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034268553,0.00024364969,0.00030649727,0.00024417136,0.00007671476,0.00011664913,0.00076973776,0.0001720646,0.000008622436],"category_scores_gemma":[0.00071618485,0.00024797692,0.000022975282,0.00014773835,0.00003373944,0.0004952911,0.00028519167,0.0005436554,0.0000032512708],"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":[0.0000037683333,0.000034217202,0.0042833346,0.0031396395,0.000015520554,0.00003664213,0.00034628905,0.9555469,0.028728021,0.0005699109,0.000023434448,0.007272323],"study_design_scores_gemma":[0.00020439866,0.0000138690575,0.020043178,0.00053442694,0.0000053045374,0.000019519786,0.000007888138,0.96894854,0.0045771822,0.0053618494,0.000025522033,0.000258321],"about_ca_topic_score_codex":0.00009074359,"about_ca_topic_score_gemma":0.00004393049,"teacher_disagreement_score":0.042410426,"about_ca_system_score_codex":0.00023979846,"about_ca_system_score_gemma":0.00000913384,"threshold_uncertainty_score":0.99999726},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039048826,0.000030293342,0.99279326,0.000024862964,0.000029278248,0.001018887,0.000005666859,0.000114634786,0.002078245],"genre_scores_gemma":[0.7047664,0.000043472806,0.2947826,0.0000015614711,0.000012695281,0.0003235448,0.000018572564,0.00004299598,0.000008181184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986943,0.0000071899917,0.00067115785,0.00018875614,0.0001538361,0.00028475898],"domain_scores_gemma":[0.99945974,0.00007026835,0.000089312205,0.00028600934,0.000016035714,0.00007862483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035013127,0.00018797876,0.0003687276,0.0001447176,0.000034172244,0.000042468855,0.00020439997,0.00013145356,0.00001271994],"category_scores_gemma":[0.00009054629,0.00019324225,0.000063153195,0.00007828459,0.000036227368,0.00021663478,0.000014715056,0.00015014735,0.0000011216288],"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":[0.0000040020736,0.00012110495,0.00005492725,0.0029593976,0.000011273199,4.2566143e-7,0.00039181078,0.97624654,0.0003420972,0.019668067,0.0000017967336,0.00019854576],"study_design_scores_gemma":[0.00072693813,0.000022705442,0.00011815496,0.00020936187,0.0000121855055,4.555315e-7,0.000022393222,0.9948471,0.00014381116,0.003708328,0.000004543437,0.00018401856],"about_ca_topic_score_codex":0.000004367168,"about_ca_topic_score_gemma":0.0000011340545,"teacher_disagreement_score":0.7008615,"about_ca_system_score_codex":0.000059616123,"about_ca_system_score_gemma":0.000007668657,"threshold_uncertainty_score":0.788019},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041400995,0.00008424846,0.9914114,0.00007975356,0.00016232282,0.0015473758,0.000011223676,0.0006162728,0.001947322],"genre_scores_gemma":[0.6700163,0.000010948072,0.3292691,0.000014261822,0.000054349428,0.00044707127,0.000014896002,0.00012218588,0.000050871764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979209,0.0000158964,0.0006556499,0.00039206902,0.00035063314,0.00066488073],"domain_scores_gemma":[0.99871624,0.00011367496,0.00009533354,0.0007769247,0.0000496239,0.00024823696],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035385185,0.00043168533,0.0005485335,0.00029414563,0.00019565667,0.00033269162,0.00044929187,0.0001641288,0.00004445929],"category_scores_gemma":[0.00016620726,0.0003996271,0.000073168245,0.0002953388,0.00004456774,0.0002103456,0.00009034635,0.00035305455,0.000058914688],"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":[0.0000066058738,0.000060410206,0.00043267309,0.0006089813,0.000039102637,0.0000070866954,0.0007229765,0.9941593,0.0006511595,0.0010012296,0.000036202466,0.0022742634],"study_design_scores_gemma":[0.00245973,0.000036507496,0.0012576462,0.00079886673,0.000025816475,0.000015153797,0.000018614046,0.99206424,0.00015841535,0.0022524295,0.00033304136,0.00057956256],"about_ca_topic_score_codex":0.000017836694,"about_ca_topic_score_gemma":0.000037773643,"teacher_disagreement_score":0.6658762,"about_ca_system_score_codex":0.000107047825,"about_ca_system_score_gemma":0.000016722113,"threshold_uncertainty_score":0.99984556},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0754509,0.00011791138,0.9207653,0.0002711275,0.00037902145,0.0004958691,8.4816594e-7,0.000104238825,0.0024148133],"genre_scores_gemma":[0.9608271,0.000019630374,0.03870861,0.000116869924,0.0002154649,0.000042813976,0.0000014629228,0.000035502468,0.00003254898],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845517,0.000022650636,0.0005116789,0.00037434936,0.0001837141,0.00045244148],"domain_scores_gemma":[0.9990532,0.00027865657,0.00015873935,0.00044501474,0.00003837005,0.00002604251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017681897,0.00024910778,0.0003559324,0.0003330871,0.0002190328,0.0004809661,0.00047839235,0.000090200556,0.000112922746],"category_scores_gemma":[0.0011568757,0.0002168061,0.000055948723,0.00016381792,0.00016965771,0.0006941182,0.00055729196,0.00023260502,0.00007081286],"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":[0.000025503667,0.00016167914,0.0008368056,0.0021802548,0.000042158725,0.00006216692,0.0007447901,0.12637007,0.0016436697,0.8223385,0.000017940674,0.045576435],"study_design_scores_gemma":[0.000056615896,0.0000073054894,0.00014240772,0.0002729976,0.000027619179,0.000007991058,0.00045242414,0.5223353,0.00022259683,0.4760526,0.00017071277,0.00025146006],"about_ca_topic_score_codex":0.0001240662,"about_ca_topic_score_gemma":0.0000239553,"teacher_disagreement_score":0.8853762,"about_ca_system_score_codex":0.000033699744,"about_ca_system_score_gemma":0.0000065764807,"threshold_uncertainty_score":0.8841096},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.219217,0.00011482971,0.7800594,0.0000133698,0.000038962065,0.0001625367,0.0000028048187,0.00017745634,0.00021365962],"genre_scores_gemma":[0.8858768,0.000018423241,0.11399775,0.0000016073172,0.000013257765,0.000035000645,0.0000021756161,0.000051858133,0.0000031665102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983324,0.000018188564,0.0007375787,0.00026253634,0.00019553026,0.0004537642],"domain_scores_gemma":[0.999119,0.00018635561,0.00009042812,0.0004670949,0.000027647415,0.00010948436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095141865,0.00028551035,0.0005877528,0.00029775055,0.000048663347,0.00006894775,0.00027342603,0.00021968328,0.0000030302429],"category_scores_gemma":[0.0007082533,0.00029267403,0.00008065466,0.00021068296,0.00004825649,0.00022667141,0.00012528179,0.0004475976,9.559647e-7],"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":[0.000001783905,0.000035348756,0.000047679616,0.0015059472,0.000026550983,0.000002211128,0.00023753493,0.9817146,0.01046415,0.0005182417,4.1746003e-7,0.005445551],"study_design_scores_gemma":[0.00045883557,0.000010785752,0.000088432695,0.0008437038,0.00003275754,0.000005394586,0.000019307667,0.9760609,0.0014292182,0.020783672,5.4486696e-7,0.00026641498],"about_ca_topic_score_codex":0.000071880466,"about_ca_topic_score_gemma":0.000008368702,"teacher_disagreement_score":0.6666598,"about_ca_system_score_codex":0.00011053784,"about_ca_system_score_gemma":0.000014341133,"threshold_uncertainty_score":0.99995255},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21033722,0.00023532826,0.78784776,0.0000397967,0.00009223091,0.0003067001,0.000060770482,0.00017271625,0.00090745784],"genre_scores_gemma":[0.9662568,0.000021170466,0.033552844,0.000007604415,0.000023457917,0.00003744399,0.000023126335,0.00003008528,0.000047478912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921614,0.0000065783543,0.00032529695,0.0001426288,0.000085493324,0.00022385224],"domain_scores_gemma":[0.9994742,0.0002483343,0.000022886396,0.00013751064,0.0000613942,0.000055626293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016136153,0.0001687056,0.0003593349,0.00021271635,0.000023960656,0.000020832094,0.00008188022,0.00009679229,0.000056706293],"category_scores_gemma":[0.00006394332,0.0001429584,0.000074621916,0.00057563465,0.000070635964,0.0000840237,0.000020347105,0.00012969073,0.0000033404992],"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":[0.0000024489293,0.000023508444,0.00011368806,0.00040583647,0.00040609174,5.5944736e-7,0.001391838,0.982501,0.005273416,0.009566567,0.00009739654,0.00021767292],"study_design_scores_gemma":[0.00023184324,0.000031891384,0.00038551138,0.00016880073,0.00014178001,0.0000017541953,0.00014006768,0.99104667,0.0017775053,0.005840392,0.00006781597,0.00016598236],"about_ca_topic_score_codex":0.000004644845,"about_ca_topic_score_gemma":0.00002430904,"teacher_disagreement_score":0.7559196,"about_ca_system_score_codex":0.00003621519,"about_ca_system_score_gemma":0.0000060344687,"threshold_uncertainty_score":0.5829674},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86053866,0.00032368122,0.08197677,0.00033701683,0.0014080387,0.00013609724,0.00009704022,0.0007488292,0.054433845],"genre_scores_gemma":[0.9646297,0.00010278016,0.031313427,0.00039322238,0.00092996046,0.0014462506,0.00039043603,0.00064293196,0.00015130299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9939052,0.00016575318,0.0016415493,0.0011211366,0.0013575149,0.00180887],"domain_scores_gemma":[0.9947617,0.0023680602,0.00064259296,0.0013642783,0.00016398169,0.00069937186],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014800011,0.00079385575,0.0004425214,0.00046046596,0.0006814355,0.0006019262,0.0008933187,0.0014084089,0.015473504],"category_scores_gemma":[0.0018469437,0.0011693964,0.0007088413,0.0011821351,0.00061289576,0.00092595496,0.00054192764,0.0013722077,0.0008656932],"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":[0.00030305277,0.00022866782,0.0000050360677,0.0018674149,0.000669013,0.0001178187,0.0012815944,0.033665996,0.0062038894,0.94965786,0.004851983,0.0011476842],"study_design_scores_gemma":[0.0014697182,0.0013714496,0.00007880241,0.00095570897,0.0005307723,0.0004109706,0.00034481788,0.86672825,0.1241115,0.00074196473,0.0022000582,0.0010560107],"about_ca_topic_score_codex":0.00018316723,"about_ca_topic_score_gemma":0.00014793513,"teacher_disagreement_score":0.9489159,"about_ca_system_score_codex":0.000035140438,"about_ca_system_score_gemma":0.00039007884,"threshold_uncertainty_score":0.99991226},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13116777,0.000057197693,0.8684475,0.0000011105606,0.00005399723,0.000098818164,0.000011947631,0.0000493022,0.00011238958],"genre_scores_gemma":[0.80194247,0.0000028263112,0.19798478,0.0000012528424,0.000023396527,0.00000720707,0.000012508153,0.000021570948,0.000003962153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986884,0.000028561271,0.0006583932,0.00017862456,0.00023804692,0.00020798764],"domain_scores_gemma":[0.9991074,0.00041188358,0.00010137842,0.00023034532,0.00010541073,0.000043560125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030713194,0.00017982842,0.00057125255,0.0005222578,0.00002523252,0.00001887381,0.00014813404,0.000085743,0.000090509115],"category_scores_gemma":[0.00018329317,0.0001679751,0.00010872729,0.0017314674,0.000030917527,0.00008596984,0.000045360317,0.0001499809,4.625066e-7],"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":[0.000002164398,0.000027847245,0.0017643092,0.0007392162,0.0004117059,3.5742616e-7,0.00050461665,0.96614367,0.027523773,0.0026856565,1.7635455e-7,0.00019651884],"study_design_scores_gemma":[0.000118909906,0.000019160056,0.002177482,0.00036227846,0.0005287615,0.0000012075701,0.000025674111,0.99243075,0.00214527,0.0020346094,6.877931e-7,0.00015520859],"about_ca_topic_score_codex":0.000021583717,"about_ca_topic_score_gemma":0.000011789629,"teacher_disagreement_score":0.6707747,"about_ca_system_score_codex":0.000039623832,"about_ca_system_score_gemma":0.00000836571,"threshold_uncertainty_score":0.6849826},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023619287,0.00002608172,0.9735748,0.00004727922,0.0000981259,0.0013944787,0.000027235881,0.00068939425,0.0005233018],"genre_scores_gemma":[0.8942438,0.0000017629121,0.105095424,0.000012207866,0.00007951205,0.0003095644,0.0000047702338,0.000091805196,0.00016117726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985797,0.000013629033,0.00038406835,0.00027703596,0.00019449438,0.00055110327],"domain_scores_gemma":[0.99926716,0.00030100055,0.000033736913,0.00023772438,0.00006136789,0.00009898051],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005584849,0.00028721956,0.00037138697,0.00016960531,0.00004730648,0.000051713567,0.0001756877,0.00010790461,0.000009847632],"category_scores_gemma":[0.000102063095,0.0002569384,0.000053528605,0.000225546,0.00004071763,0.00016837011,0.000028250517,0.00022499532,0.000007475104],"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":[0.000087058346,0.000073405485,0.000004014795,0.00042901514,0.00013365544,0.000002792233,0.0007637655,0.99273676,0.00043322763,0.0022928426,0.000023501589,0.0030199864],"study_design_scores_gemma":[0.0019852165,0.00016583272,0.000031826734,0.0002600489,0.00006626801,0.0000072271537,0.000055487977,0.99621457,0.000034096636,0.000798049,0.000071797265,0.00030956735],"about_ca_topic_score_codex":0.0000012684357,"about_ca_topic_score_gemma":0.000011912148,"teacher_disagreement_score":0.8706245,"about_ca_system_score_codex":0.00024496022,"about_ca_system_score_gemma":0.000022562139,"threshold_uncertainty_score":0.99998826},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004004936,0.000017266044,0.99340856,0.000026461796,0.00016624182,0.00089267344,0.0000040218792,0.00052788196,0.00095196697],"genre_scores_gemma":[0.8668568,0.000010531737,0.13269587,0.000006973489,0.0001013889,0.00022394506,0.000029912382,0.000041988802,0.00003254434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892586,0.000005729635,0.00042375847,0.00014477248,0.00015406692,0.00034582816],"domain_scores_gemma":[0.9995156,0.00012029505,0.000049754424,0.00017584027,0.00007865366,0.000059881037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019734957,0.00020581581,0.00019101841,0.00019389723,0.000059412127,0.0000603793,0.00009904377,0.00009688207,0.000008155408],"category_scores_gemma":[0.00018647283,0.00018570108,0.000025311876,0.00019584782,0.000035037574,0.00063966296,0.000022334669,0.00019129858,0.000017596],"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":[0.0000099882245,0.000023334078,0.0000020296636,0.002299192,0.000005559573,3.643115e-7,0.0009696081,0.99375725,0.0006375543,0.0003522287,0.00001696684,0.0019259375],"study_design_scores_gemma":[0.0004088369,0.00012854308,0.0000032625378,0.00029511677,0.000009283594,0.000015992544,0.000031482232,0.9901991,0.005602343,0.0022912403,0.0007658952,0.00024893635],"about_ca_topic_score_codex":9.9879e-7,"about_ca_topic_score_gemma":0.0000067492483,"teacher_disagreement_score":0.8628519,"about_ca_system_score_codex":0.00012781599,"about_ca_system_score_gemma":0.0000064312203,"threshold_uncertainty_score":0.75726706},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06720332,0.00011231446,0.9310711,0.000015832795,0.00031511835,0.00053706375,0.000013926326,0.00012675309,0.00060458033],"genre_scores_gemma":[0.9964792,0.000002150775,0.00325347,0.0000026611417,0.0000634483,0.00006963093,0.000002491055,0.000034981582,0.000091949856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965013,0.00007378223,0.0014511348,0.000491301,0.0010008953,0.00048157063],"domain_scores_gemma":[0.99594957,0.0027064355,0.00018299422,0.0007122007,0.00027055255,0.0001782319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032036158,0.00027375994,0.00071108696,0.00029509884,0.000040673847,0.00008485966,0.00063294434,0.00015559774,0.00016657298],"category_scores_gemma":[0.0067265406,0.00020904743,0.000084184685,0.00096770463,0.0002137662,0.0001666649,0.00013080092,0.00024341243,0.00009588551],"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":[0.00001507544,0.00020220137,0.00011617042,0.0005579916,0.000020649393,0.0000021699163,0.00069550634,0.9684544,0.015667412,0.014027717,0.00017722683,0.00006344231],"study_design_scores_gemma":[0.00034424564,0.00011716019,0.00012876977,0.00036828054,0.000013038613,0.0000075814314,0.00008006416,0.9897177,0.00018993439,0.00878481,0.000022019689,0.00022636839],"about_ca_topic_score_codex":0.00003263783,"about_ca_topic_score_gemma":0.0000022390811,"teacher_disagreement_score":0.9292759,"about_ca_system_score_codex":0.000118435826,"about_ca_system_score_gemma":0.000046088364,"threshold_uncertainty_score":0.8524707},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021665346,0.00007118914,0.9744616,0.000026770065,0.0003698103,0.00067366957,0.0000075644184,0.0019163904,0.00080767384],"genre_scores_gemma":[0.66884935,0.0000023729883,0.33025447,0.0000042950305,0.00029162448,0.0004593342,0.0000028201143,0.00012703994,0.000008719016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979643,0.000011430033,0.0007035592,0.00032983802,0.00024004973,0.0007507784],"domain_scores_gemma":[0.99915075,0.0002732324,0.000031383577,0.00031088924,0.000078904675,0.00015485383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053020293,0.0003625628,0.0004358847,0.00027230853,0.00007306989,0.000060063503,0.0003091874,0.00019185616,0.00003182053],"category_scores_gemma":[0.00057769683,0.0003800482,0.00009706708,0.00055943715,0.00003927677,0.0002884139,0.000053120333,0.00042751196,0.000021964335],"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":[0.0000014248711,0.000020850744,0.000011947997,0.0017883839,0.00003135066,7.7288144e-7,0.00067879393,0.9914471,0.003699072,0.0013992178,0.00002242833,0.0008986414],"study_design_scores_gemma":[0.00030969206,0.00004992386,0.0000044287704,0.0006760987,0.000018531035,0.000015322337,0.00007137565,0.9925814,0.0017206223,0.004017492,0.00012951788,0.0004055503],"about_ca_topic_score_codex":7.114168e-7,"about_ca_topic_score_gemma":9.0122876e-7,"teacher_disagreement_score":0.647184,"about_ca_system_score_codex":0.0001601147,"about_ca_system_score_gemma":0.000013121999,"threshold_uncertainty_score":0.9998651},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3210589,0.00006154126,0.6777093,0.000001459622,0.000055085,0.0004362641,0.0000026673868,0.00029910274,0.00037571485],"genre_scores_gemma":[0.98840183,0.0000014364392,0.011320918,0.0000030105298,0.00003145043,0.00007432313,0.000009733198,0.00011277773,0.000044492695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982442,0.000015620735,0.00057288876,0.00027489793,0.0003240822,0.00056826085],"domain_scores_gemma":[0.99939835,0.00007047425,0.00008175484,0.00029113409,0.000041640662,0.00011664025],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034821779,0.00033499236,0.00044426616,0.00039922076,0.000047270358,0.00008383327,0.00022136702,0.00010011906,0.000013903643],"category_scores_gemma":[0.000038250804,0.00029997618,0.000033651326,0.00034039715,0.000040213756,0.00035977736,0.00008384961,0.000278006,0.0000071264326],"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":[0.000015734382,0.00006376153,0.000112930575,0.0006213809,0.000050003906,0.000009170366,0.0023715072,0.99364287,0.0022833545,0.00079481775,0.0000034023976,0.000031040505],"study_design_scores_gemma":[0.0005732286,0.000245993,0.000009582877,0.00095906877,0.000016926624,0.000011044907,0.00020411526,0.99678415,0.00073042174,0.00008292682,0.000020940828,0.00036158506],"about_ca_topic_score_codex":0.000010666827,"about_ca_topic_score_gemma":0.0000028541488,"teacher_disagreement_score":0.66734296,"about_ca_system_score_codex":0.000089639,"about_ca_system_score_gemma":0.000011276186,"threshold_uncertainty_score":0.9999452},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07117332,0.00011034077,0.92626137,0.000026760095,0.000060201764,0.0003252482,0.000003910998,0.00048271447,0.0015561341],"genre_scores_gemma":[0.92432034,0.000024813764,0.075275846,0.000002099771,0.000025891095,0.00029950697,0.0000030560113,0.000038754457,0.000009689893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989615,0.000009312993,0.00037430634,0.00017908018,0.00020901221,0.00026676382],"domain_scores_gemma":[0.9994487,0.00020284652,0.000029559373,0.00022831408,0.000048568567,0.00004200979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021750695,0.00016321031,0.000261317,0.00023814717,0.000023813329,0.000022664,0.00013668607,0.00013401771,0.000021029215],"category_scores_gemma":[0.00027166042,0.00015609892,0.000020614174,0.00039493726,0.00009013493,0.00020625953,0.00008217955,0.00025052213,0.000014304092],"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":[0.0000027827953,0.000054844455,0.0003580729,0.006766914,0.00003041728,0.000001900248,0.00053236,0.97762096,0.004075001,0.0050840024,0.0000541936,0.005418557],"study_design_scores_gemma":[0.00016021299,0.000036224214,0.00009359274,0.0005727678,0.0000048761526,0.000019644349,0.00014079465,0.9897758,0.0075388737,0.0013939977,0.00011141867,0.00015183624],"about_ca_topic_score_codex":0.0000023182915,"about_ca_topic_score_gemma":4.7848386e-7,"teacher_disagreement_score":0.85314703,"about_ca_system_score_codex":0.00011614981,"about_ca_system_score_gemma":0.0000043063837,"threshold_uncertainty_score":0.6365529},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012961759,0.000037505837,0.998962,0.000116664785,0.000079543344,0.000507985,0.0000012856964,0.00012379045,0.000041615964],"genre_scores_gemma":[0.22765546,0.0000044449707,0.77225286,0.0000068862287,0.000019606872,0.00003636856,0.0000024809701,0.000015730498,0.0000061832616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987924,0.000043738495,0.00041251877,0.00033605425,0.00020712624,0.00020816292],"domain_scores_gemma":[0.99922603,0.00020231759,0.000092827366,0.00027719428,0.00014542686,0.000056209257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004969905,0.00015401817,0.00019914542,0.00016901588,0.00003686867,0.00005551648,0.00022403788,0.000052579213,0.000014089982],"category_scores_gemma":[0.0006339849,0.00015434272,0.000018754383,0.00057551236,0.00007147189,0.000387556,0.00007281761,0.00009507141,0.0000053858853],"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":[0.0000031175207,0.00007363428,0.0000021798444,0.00010933606,0.0000037009722,4.2618106e-7,0.00035594715,0.98613954,0.005050609,0.0047822646,0.0000051210013,0.0034741296],"study_design_scores_gemma":[0.000094203904,0.0000652311,0.0000010839487,0.00011238067,0.000002733223,0.0000025737857,0.0000062829295,0.8487443,0.14509459,0.005739844,0.0000032715911,0.0001335484],"about_ca_topic_score_codex":0.0000015646727,"about_ca_topic_score_gemma":2.0177426e-7,"teacher_disagreement_score":0.22752583,"about_ca_system_score_codex":0.000056100813,"about_ca_system_score_gemma":0.000025665253,"threshold_uncertainty_score":0.6293914},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007202587,0.00015013899,0.984076,0.000008771094,0.000101449645,0.0012331487,0.0000011004279,0.0002484845,0.0069782967],"genre_scores_gemma":[0.9859821,0.000009974971,0.013215254,0.000001628625,0.000043337608,0.00037121781,0.00000828454,0.00004768869,0.0003205112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885863,0.0000053274534,0.00039627557,0.00015371213,0.00016340785,0.000422643],"domain_scores_gemma":[0.9996671,0.00004190781,0.000044088236,0.00014431175,0.00006199451,0.00004056283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031435338,0.00016776471,0.00022681532,0.00027294838,0.000029245388,0.00005381475,0.00013181669,0.00006469834,0.000017921986],"category_scores_gemma":[0.00002252107,0.00016646387,0.00004643412,0.00041686482,0.0000184313,0.00017481201,0.000035506837,0.00009060493,0.000006255444],"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":[0.000005196537,0.000049273698,0.000015453747,0.005707351,0.00007861481,0.0000035078162,0.00022898393,0.95401657,0.00023905259,0.03929685,0.00007197142,0.00028718865],"study_design_scores_gemma":[0.00044893636,0.00007974319,0.000017713151,0.00043875625,0.000022478938,0.00000298603,0.00016188245,0.9935593,0.00038847965,0.0019380767,0.0027348471,0.0002068084],"about_ca_topic_score_codex":0.0000018722304,"about_ca_topic_score_gemma":1.5618846e-7,"teacher_disagreement_score":0.9787795,"about_ca_system_score_codex":0.00009563292,"about_ca_system_score_gemma":0.0000032722635,"threshold_uncertainty_score":0.67881995},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059337102,0.00009195015,0.93912417,0.00018573173,0.000113411654,0.00056395406,0.0000035018602,0.000109183566,0.0004710233],"genre_scores_gemma":[0.9915406,0.0000044577087,0.008289279,0.0000104034925,0.000058405447,0.000049705443,0.000001911013,0.000025254181,0.00001997538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989298,0.000013567782,0.00045687714,0.0001537436,0.0001752049,0.0002708201],"domain_scores_gemma":[0.99928665,0.0002921868,0.000040010047,0.0002622585,0.00008114565,0.000037738926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036053752,0.00015297985,0.00024778058,0.000033336713,0.000060296534,0.000024338198,0.00020488568,0.000086542874,0.00008547571],"category_scores_gemma":[0.00018507421,0.0000865799,0.00011798106,0.00047468708,0.000100336234,0.00006750558,0.00004898029,0.00016434427,0.0000029339878],"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":[0.000003358501,0.000019940755,0.00017138658,0.00038432324,0.00004619523,4.6283507e-8,0.00022484116,0.98191357,0.012758327,0.0041319337,0.000065998116,0.00028005693],"study_design_scores_gemma":[0.00016146069,0.000016600896,0.00045812616,0.00009988157,0.00004516868,0.0000022654117,0.000037025,0.98652214,0.0076008667,0.004896374,0.000047969483,0.00011211167],"about_ca_topic_score_codex":0.000006313699,"about_ca_topic_score_gemma":0.000008232561,"teacher_disagreement_score":0.93220353,"about_ca_system_score_codex":0.00010136662,"about_ca_system_score_gemma":0.000009204515,"threshold_uncertainty_score":0.3530626},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1445325,0.00096230843,0.8538814,0.0000028845639,0.000029439538,0.0003461921,0.000008897789,0.00013225141,0.00010410998],"genre_scores_gemma":[0.9865742,0.00013604417,0.013151473,7.107419e-7,0.000014356461,0.00008880286,0.0000110638175,0.00002187863,0.0000014692262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993394,0.000010287127,0.00026174326,0.00012917658,0.00013755455,0.00012186244],"domain_scores_gemma":[0.9996253,0.00016057561,0.000027289165,0.00014139675,0.000013385235,0.000032044652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036268416,0.000103396036,0.00015061197,0.00008283583,0.000014399855,0.000018013365,0.000052209823,0.0000542766,0.0000037542177],"category_scores_gemma":[0.00014939482,0.00010280404,0.000006785768,0.00007103796,0.000061658095,0.00020942693,0.000031213473,0.00007715764,0.0000012607227],"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":[7.7174246e-7,0.000015858186,0.00006799272,0.00092632347,0.000006419128,2.252313e-7,0.00033607578,0.97611994,0.015886685,0.004635118,0.0000034246339,0.0020011768],"study_design_scores_gemma":[0.00011048461,0.00002003562,0.000094735195,0.0004288155,0.000007925429,0.0000067502688,0.000035986293,0.98509824,0.0021948293,0.011884154,0.000016731698,0.00010130949],"about_ca_topic_score_codex":0.0000028062439,"about_ca_topic_score_gemma":0.0000010316905,"teacher_disagreement_score":0.8420417,"about_ca_system_score_codex":0.000028114855,"about_ca_system_score_gemma":0.000002848899,"threshold_uncertainty_score":0.4192227},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36780658,0.0001047699,0.6307611,0.0000033994304,0.000034494144,0.00022001211,0.0000027996327,0.00023489367,0.0008319877],"genre_scores_gemma":[0.97746485,0.000010024807,0.022370325,0.0000021626236,0.000015407377,0.000031885324,0.0000039528977,0.00007175633,0.000029614874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810326,0.00001075599,0.0007928508,0.0002834967,0.0002711814,0.00053843623],"domain_scores_gemma":[0.9993914,0.00012356404,0.0000495029,0.0003244182,0.00002476038,0.0000863808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005041537,0.00029957623,0.00065570016,0.00041052097,0.000013875081,0.000023442823,0.00023060631,0.00019682571,0.000015170731],"category_scores_gemma":[0.00011901707,0.00029606908,0.0001236272,0.0006241409,0.000019965968,0.00016075763,0.000071361166,0.00049969146,0.0000048642587],"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":[9.819236e-7,0.000047308855,0.0002842301,0.0026648615,0.000027302582,0.000001434667,0.0004229149,0.97460616,0.021319421,0.00047278233,9.494111e-7,0.00015166186],"study_design_scores_gemma":[0.00034571826,0.0000114269715,0.000023554567,0.0010440245,0.000016931903,0.0000055518963,0.00009710659,0.99635345,0.0007996922,0.0010032924,0.0000016401651,0.00029763894],"about_ca_topic_score_codex":0.000045689692,"about_ca_topic_score_gemma":0.0000044632247,"teacher_disagreement_score":0.6096583,"about_ca_system_score_codex":0.0001544757,"about_ca_system_score_gemma":0.000013576292,"threshold_uncertainty_score":0.99994916},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014611075,0.00032500058,0.9831299,0.000010975456,0.00012233148,0.00066377816,0.0000034192885,0.0005487141,0.00058480067],"genre_scores_gemma":[0.9752811,0.000021977261,0.02434018,0.000004344666,0.000004622849,0.0002486937,0.000008553439,0.000060850674,0.000029677027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988238,0.0000070010638,0.00044044905,0.00019866102,0.0001653205,0.000364736],"domain_scores_gemma":[0.99938595,0.00024176046,0.00005072711,0.00026295165,0.00002612095,0.00003249416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023326236,0.00020047124,0.00034887178,0.00029172568,0.000013173794,0.000025000008,0.00018312938,0.000094465315,0.000008120942],"category_scores_gemma":[0.000088105015,0.00019336151,0.00007328047,0.0002810214,0.000014844381,0.00007826088,0.00001782114,0.00015049397,0.0000045155643],"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":[0.000005058254,0.00006295596,0.00002102427,0.0014137342,0.000013176871,0.0000010236816,0.00001329806,0.9943754,0.00035301244,0.0030229182,0.000010752946,0.00070764835],"study_design_scores_gemma":[0.000375106,0.0001943855,0.0000053718904,0.0005994346,0.000006871722,0.0000037186198,0.000008137468,0.99737525,0.0005643506,0.00057873415,0.00007725901,0.00021136891],"about_ca_topic_score_codex":0.0000020452408,"about_ca_topic_score_gemma":2.1815053e-7,"teacher_disagreement_score":0.96067,"about_ca_system_score_codex":0.0001193144,"about_ca_system_score_gemma":0.000010885691,"threshold_uncertainty_score":0.7885053},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08248341,0.000018191386,0.91607577,0.00006262547,0.000042580614,0.00043790648,0.000002524889,0.00006567907,0.00081132504],"genre_scores_gemma":[0.9970233,0.000002908283,0.0028811551,0.000013965692,0.000010357767,0.000033371725,0.000004774161,0.000022808754,0.000007401577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999322,0.00000459249,0.0002856493,0.00010485065,0.00014198016,0.0001409557],"domain_scores_gemma":[0.99956787,0.00014603695,0.000018326908,0.00022037962,0.000017829168,0.000029550085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012452836,0.00012168387,0.00019642478,0.00011210024,0.000010163161,0.000013225004,0.00013687173,0.000048659473,0.000048396254],"category_scores_gemma":[0.000026873597,0.000087936365,0.00004771962,0.00032765866,0.0000030217864,0.000040597166,0.000013414471,0.0001286451,0.000014759615],"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":[0.0000016601608,0.0000044501053,0.0000028595352,0.00019945862,0.0000121981975,6.2816724e-8,0.00023317114,0.901365,0.0072533516,0.09027857,0.0000026271364,0.000646593],"study_design_scores_gemma":[0.00010071559,0.000020717247,0.000018407358,0.000080172314,0.000007719194,5.806502e-7,0.0000071199574,0.97361684,0.0021654032,0.023862379,0.000022095886,0.00009787927],"about_ca_topic_score_codex":0.0000021290557,"about_ca_topic_score_gemma":0.0000029317898,"teacher_disagreement_score":0.9145399,"about_ca_system_score_codex":0.00004321303,"about_ca_system_score_gemma":0.0000019819452,"threshold_uncertainty_score":0.3585941},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907091,0.000050605835,0.0087152645,0.000035473386,0.00006555078,0.00028629645,0.0000032409027,0.000008132005,0.0001263179],"genre_scores_gemma":[0.9993528,0.000025200634,0.0005075206,0.000019935396,0.000030603544,0.000012566111,0.0000034571597,0.000016317059,0.000031615273],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920934,0.000015723457,0.00032159948,0.00015188489,0.00013911976,0.00016231771],"domain_scores_gemma":[0.99947405,0.00004408036,0.00009163719,0.00032432738,0.000038598682,0.00002733441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023279035,0.00012179593,0.00022580667,0.00003762081,0.000008280807,0.000005152529,0.00022888606,0.00010854038,0.000027946844],"category_scores_gemma":[0.000073061994,0.00008475877,0.00006336507,0.00011621803,0.00003185068,0.0000057629936,0.000090678586,0.00012410704,0.0000032477637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005301269,0.000032442993,0.00009335329,0.0007953009,0.000012969265,1.2483238e-7,0.000059774793,0.23755316,0.7583376,0.0030816945,0.0000010131007,0.000027242273],"study_design_scores_gemma":[0.00038197637,0.00011208137,0.00088074285,0.00024219682,0.000021697111,0.000013811659,0.000052319403,0.0051709265,0.99184984,0.0010117921,0.00009732353,0.00016528771],"about_ca_topic_score_codex":0.0000051552083,"about_ca_topic_score_gemma":0.0000020711043,"teacher_disagreement_score":0.23351222,"about_ca_system_score_codex":0.0000061983174,"about_ca_system_score_gemma":0.000018375698,"threshold_uncertainty_score":0.34563625},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054801527,0.000040893334,0.93403935,0.00020182898,0.00008813048,0.0035834468,0.0000085827,0.00005854992,0.0071776663],"genre_scores_gemma":[0.9861057,0.000004926186,0.012177242,0.000027803946,0.000019376968,0.0005945279,0.000004128631,0.000030229763,0.0010360796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984316,0.000023708573,0.0004417642,0.0002689268,0.00043110168,0.0004028817],"domain_scores_gemma":[0.99914044,0.0003136572,0.00012738307,0.00035113585,0.000014832935,0.00005255868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007371044,0.00020227465,0.00027393483,0.00006976104,0.000056941626,0.000025788959,0.00032596846,0.000056593202,0.00015794503],"category_scores_gemma":[0.00004856815,0.00015883888,0.00010262818,0.00026796828,0.00010034733,0.00018949818,0.0004136396,0.00018539827,0.000029022009],"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":[0.000014936544,0.00013571908,0.0001858436,0.00045798853,0.00007145008,6.225544e-7,0.0020910655,0.972366,0.00008660178,0.02403438,0.00011054103,0.0004448561],"study_design_scores_gemma":[0.0005220713,0.000043124408,0.00017179063,0.00020484446,0.000028540195,0.0000019977388,0.001214727,0.98610055,0.00003895418,0.011151314,0.00034470565,0.0001773666],"about_ca_topic_score_codex":0.00003638521,"about_ca_topic_score_gemma":0.000009697823,"teacher_disagreement_score":0.93130416,"about_ca_system_score_codex":0.00023626565,"about_ca_system_score_gemma":0.0000044293715,"threshold_uncertainty_score":0.6477262},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010520887,0.00005513364,0.9824545,0.000026355005,0.00011883821,0.000257367,0.0000061749615,0.0000770847,0.0064836927],"genre_scores_gemma":[0.9777808,0.000011298435,0.022075627,0.000013255371,0.000011076187,0.00004667372,0.0000033770918,0.00002674401,0.00003115414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991818,0.000005034605,0.0003012969,0.00011141879,0.00020900213,0.00019143561],"domain_scores_gemma":[0.9993985,0.00032890812,0.000024813215,0.00017168015,0.000041628195,0.000034469354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022564216,0.00012781736,0.00016988894,0.00009059149,0.000029178917,0.0000123204445,0.000102608545,0.00006305712,0.000032037042],"category_scores_gemma":[0.00007365753,0.00010275962,0.000036562706,0.0001328842,0.000013457913,0.00006417309,0.000018732931,0.00022107105,0.000020459473],"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":[0.0000036306496,0.000026349457,0.000004457675,0.00021643325,0.0000111174895,3.409247e-7,0.00007036448,0.953968,0.004306051,0.041219946,0.000010957218,0.0001623888],"study_design_scores_gemma":[0.0002674604,0.000016740178,0.0000022370098,0.0002453635,0.0000042459856,0.0000012127662,0.000015833168,0.99162036,0.0007636803,0.0069075758,0.00003958067,0.00011572524],"about_ca_topic_score_codex":9.3212384e-7,"about_ca_topic_score_gemma":6.8259857e-7,"teacher_disagreement_score":0.9672599,"about_ca_system_score_codex":0.000055239805,"about_ca_system_score_gemma":0.000027851613,"threshold_uncertainty_score":0.41904157},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9294071,0.0000705506,0.069364935,0.000006381557,0.000054535107,0.00028011526,0.0000012931064,0.00009444385,0.0007206249],"genre_scores_gemma":[0.99950004,0.0000021270573,0.0004140476,0.0000029315797,0.000011378573,0.000013135785,0.000014175386,0.000027716062,0.000014466633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988761,0.000014330668,0.0005830096,0.00014159622,0.00016656957,0.00021841103],"domain_scores_gemma":[0.9996384,0.00010574694,0.00004322536,0.00016019803,0.000022614806,0.000029844654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027147835,0.00013796502,0.00035495238,0.0003981487,0.0000067279757,0.000017234232,0.00007894422,0.00011103617,0.00010306458],"category_scores_gemma":[0.00007685035,0.00012766896,0.000065270855,0.0010759159,0.000005770068,0.00016476902,0.000018656941,0.00019032205,0.000008159402],"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":[0.000002491519,0.000029453558,0.008780355,0.00050612725,0.000040585073,6.053052e-7,0.00064153015,0.9639493,0.025227955,0.00041207238,2.2687325e-7,0.0004092797],"study_design_scores_gemma":[0.00018489402,0.00001380941,0.019571096,0.00016734115,0.000025243276,2.7999982e-7,0.000029789906,0.97901136,0.0007383581,0.00011497448,0.000006707616,0.00013612588],"about_ca_topic_score_codex":0.000009720567,"about_ca_topic_score_gemma":0.0000031519075,"teacher_disagreement_score":0.0700929,"about_ca_system_score_codex":0.00007896057,"about_ca_system_score_gemma":0.000005095469,"threshold_uncertainty_score":0.5206189},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011149996,0.00012236988,0.9871798,0.000019563891,0.00007241612,0.0010376795,0.0000025820052,0.00010904754,0.00030650903],"genre_scores_gemma":[0.92406046,0.000012875753,0.07577736,0.000017631413,0.000018531173,0.000055424596,0.000004582806,0.000047238387,0.000005866489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988861,0.000020260624,0.00048594095,0.000183152,0.00014807907,0.00027647155],"domain_scores_gemma":[0.99960935,0.00008389579,0.00004245785,0.00018612029,0.000018415858,0.00005975972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026223777,0.0002168334,0.0004018932,0.00031897918,0.00000838015,0.000020707066,0.0001242181,0.00012053525,0.00004241866],"category_scores_gemma":[0.000023765855,0.00021537166,0.00006263761,0.00024490966,0.00001206722,0.00013240342,0.000016001894,0.00024162089,0.000010212896],"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":[0.000019163554,0.000039324244,0.00010412265,0.0002760657,0.00001364113,0.0000016874202,0.00024571765,0.9664485,0.0318985,0.0003828341,0.0000056629297,0.00056481676],"study_design_scores_gemma":[0.0015281629,0.000058724003,0.000024195542,0.00076090434,0.0000077936365,0.0000026200398,0.00002687299,0.9950152,0.002083445,0.00027112785,0.000010665911,0.00021030326],"about_ca_topic_score_codex":0.000024595323,"about_ca_topic_score_gemma":0.000013383324,"teacher_disagreement_score":0.9129105,"about_ca_system_score_codex":0.00016278333,"about_ca_system_score_gemma":0.000025593858,"threshold_uncertainty_score":0.87826014},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41612583,0.000035507597,0.5832098,0.000026268588,0.000059194084,0.00028592386,0.0000037440182,0.000058627153,0.0001950929],"genre_scores_gemma":[0.99431014,0.0000019565596,0.005529363,0.000004551314,0.000018964178,0.000093922485,0.000010363471,0.00002803775,0.0000026819118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987014,0.000050184128,0.0005631613,0.0001971326,0.00021623612,0.00027191598],"domain_scores_gemma":[0.99938166,0.00019824065,0.000023424227,0.00022776455,0.000035787434,0.00013310275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052837515,0.00019354111,0.0004696447,0.00018395342,0.000015219782,0.000032092597,0.00012947965,0.0001251757,0.00001211996],"category_scores_gemma":[0.00017794572,0.00020144916,0.00003806775,0.00022318025,0.00006398262,0.00025355734,0.000034586257,0.0002413166,0.0000016294239],"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":[0.000013278111,0.00022342951,0.00090452295,0.00091694586,0.000022773065,9.791394e-7,0.00273865,0.9678747,0.0015338459,0.025541984,7.9957636e-7,0.00022806351],"study_design_scores_gemma":[0.0020275526,0.000045250978,0.0003632728,0.00010873896,0.000013796606,0.0000033383503,0.00030295714,0.95359594,0.000060732582,0.043298498,8.7528133e-7,0.00017903182],"about_ca_topic_score_codex":0.000022693826,"about_ca_topic_score_gemma":0.00004051871,"teacher_disagreement_score":0.5781843,"about_ca_system_score_codex":0.00013565022,"about_ca_system_score_gemma":0.00001639093,"threshold_uncertainty_score":0.8214858},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15699528,0.000018210823,0.8414046,0.000059472084,0.00017926832,0.0006000685,0.0000028055424,0.00026140435,0.00047886],"genre_scores_gemma":[0.92362696,9.3479423e-7,0.07598553,0.0000131962515,0.0001804285,0.000116879004,0.0000015625225,0.000034013712,0.000040491108],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983657,0.000060723964,0.0004120393,0.0004364305,0.000256405,0.0004687041],"domain_scores_gemma":[0.99887496,0.00040164712,0.0001094996,0.00038692026,0.00013032262,0.00009666828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089003344,0.0002157352,0.0003402681,0.0002628461,0.0001285871,0.0001658685,0.0003211267,0.0001321766,0.000027958118],"category_scores_gemma":[0.00030408462,0.00022716561,0.00007695926,0.00041306793,0.000043288714,0.0006625248,0.00013988442,0.00020762935,0.00007325399],"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":[0.00007442063,0.002283711,0.00043889237,0.009230546,0.000411287,0.00006178539,0.014275117,0.09564122,0.64348096,0.020298196,0.00035850273,0.21344535],"study_design_scores_gemma":[0.00049030373,0.00010220935,0.000048268543,0.000663799,0.000009940301,0.000046984285,0.000022884778,0.9597497,0.017055605,0.021379424,0.00008884846,0.00034205455],"about_ca_topic_score_codex":0.00003799034,"about_ca_topic_score_gemma":0.00002793658,"teacher_disagreement_score":0.86410844,"about_ca_system_score_codex":0.00015220698,"about_ca_system_score_gemma":0.000025468295,"threshold_uncertainty_score":0.92635447},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008044044,0.000082938874,0.98827016,0.00012666621,0.0001180571,0.001405322,0.0000033903068,0.0006500011,0.0012994326],"genre_scores_gemma":[0.16952327,0.000007097225,0.82998055,0.00003268037,0.000048972244,0.00012364933,0.000005484321,0.00012766605,0.00015065429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812293,0.000032480853,0.00059263466,0.0003210849,0.0003257475,0.00060510944],"domain_scores_gemma":[0.9990379,0.00029618698,0.00006483059,0.00036849847,0.000066726454,0.00016582866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007330743,0.0003469275,0.00045840832,0.00019447097,0.000056226116,0.00016444316,0.0002910795,0.00012664388,0.00009660118],"category_scores_gemma":[0.00014507385,0.00026736988,0.000051966632,0.0008209643,0.000023578052,0.00019168598,0.000070058326,0.00043771323,0.000050620227],"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":[0.0000034985076,0.000019624667,0.00009732465,0.00030292902,0.000036903708,0.000003709881,0.0029652347,0.99185055,0.0013253975,0.0009582532,0.000036643723,0.002399921],"study_design_scores_gemma":[0.00058217347,0.000080203215,0.00003959522,0.0007006248,0.00001758678,0.000033618486,0.00019983458,0.9971491,0.00042538266,0.00029398227,0.00010132163,0.0003765843],"about_ca_topic_score_codex":0.000018465224,"about_ca_topic_score_gemma":0.0000035725297,"teacher_disagreement_score":0.16147922,"about_ca_system_score_codex":0.00018179853,"about_ca_system_score_gemma":0.00003850625,"threshold_uncertainty_score":0.9999778},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32181013,0.00001632589,0.6775868,0.00015762876,0.000014306519,0.00033413808,0.0000020588245,0.000010106204,0.00006849825],"genre_scores_gemma":[0.997629,0.0000035422788,0.0020071124,0.000012124201,0.0000028890681,0.00009352386,0.0000028798315,0.000006697424,0.00024225842],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999392,0.000011775752,0.00020525543,0.00013503808,0.000161039,0.00009492241],"domain_scores_gemma":[0.99977964,0.000044501416,0.000030095867,0.000114697315,0.000006786014,0.000024252846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020368361,0.00006687219,0.000095165014,0.000022566965,0.000020430309,0.000014756817,0.00008675623,0.000024308727,0.00003013834],"category_scores_gemma":[0.000012039545,0.000051739426,0.000012656769,0.0001307934,0.000022890981,0.000072898634,0.000050560295,0.00004859499,0.00005738841],"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":[0.0000060301572,0.0004924667,0.026311742,0.00083453424,0.00003340733,5.781178e-7,0.0082810465,0.1837893,0.46235526,0.002921486,0.00028562627,0.3146885],"study_design_scores_gemma":[0.000510015,0.00007350036,0.15393259,0.00008035607,0.000016209367,0.000005583394,0.0001505276,0.8318719,0.008728825,0.0025184082,0.0018683973,0.00024364376],"about_ca_topic_score_codex":0.00002327952,"about_ca_topic_score_gemma":0.000008672562,"teacher_disagreement_score":0.67581886,"about_ca_system_score_codex":0.000021396378,"about_ca_system_score_gemma":9.020973e-7,"threshold_uncertainty_score":0.21098725},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03424203,0.00003092601,0.96253574,0.00022222738,0.00008881021,0.0023307428,0.0000101249525,0.00010755448,0.00043182512],"genre_scores_gemma":[0.57505584,2.8902014e-7,0.42449507,0.000007871525,0.000022254973,0.00025963975,0.000010920979,0.000038938862,0.00010920314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819446,0.00015549902,0.00067664863,0.0002771904,0.00037985024,0.00031633512],"domain_scores_gemma":[0.9973483,0.0018576535,0.00021625274,0.00034768603,0.0001715975,0.00005851167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017381372,0.0002445035,0.00059183786,0.00012387494,0.00007334571,0.000084132145,0.00022041818,0.00011701754,0.000025206258],"category_scores_gemma":[0.0005177656,0.00016254536,0.00011311519,0.00048405386,0.000060035036,0.00012566289,0.000039122944,0.00023262446,0.0000036446113],"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":[0.000083449086,0.00039890627,0.000038806444,0.00591689,0.00013267431,6.536499e-7,0.0013867163,0.0944076,0.015058278,0.88234913,0.000026279073,0.0002006144],"study_design_scores_gemma":[0.0010655744,0.0003306727,0.00006153268,0.00076975813,0.000078392186,0.00001117992,0.00011773342,0.8419765,0.0014122137,0.15389669,0.000064036634,0.00021567536],"about_ca_topic_score_codex":0.000011834895,"about_ca_topic_score_gemma":0.000005026511,"teacher_disagreement_score":0.7475689,"about_ca_system_score_codex":0.00014506538,"about_ca_system_score_gemma":0.00007570339,"threshold_uncertainty_score":0.6628407},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2684307,0.000018203702,0.72925526,0.00001669305,0.00073551503,0.00048447232,0.000001209741,0.00033293653,0.00072500674],"genre_scores_gemma":[0.9878701,0.0000013162942,0.011828266,0.000027651717,0.000118205,0.00006549547,0.000004605561,0.00006673824,0.00001762801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985543,0.00000853596,0.00040968676,0.0002622447,0.00032381,0.00044141876],"domain_scores_gemma":[0.9994466,0.00011334733,0.000036773785,0.0002901932,0.00003362298,0.00007950398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003227702,0.00028074154,0.00028363962,0.00019615094,0.000037220838,0.000043937096,0.00012325637,0.0001397364,0.00009115384],"category_scores_gemma":[0.00004872083,0.00027340036,0.00007182513,0.0001795392,0.0000103567,0.00014310172,0.000044603396,0.0004057126,0.00010140819],"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":[0.000005358385,0.000021201184,0.00018555489,0.0006984102,0.000012803464,0.000004357537,0.00008227441,0.96997875,0.027329259,0.00020741408,0.000008184672,0.0014664166],"study_design_scores_gemma":[0.00045971895,0.000056447745,0.0011512056,0.0006439838,0.000008300447,0.000007005452,0.000010037765,0.9836594,0.012681527,0.0009676603,0.00006180347,0.0002929468],"about_ca_topic_score_codex":0.000007643547,"about_ca_topic_score_gemma":0.000015911992,"teacher_disagreement_score":0.7194394,"about_ca_system_score_codex":0.00033542985,"about_ca_system_score_gemma":0.000009285978,"threshold_uncertainty_score":0.9999718},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089977115,0.000069122565,0.9074067,0.00004481873,0.000114972456,0.00037746684,0.000003117029,0.0005424904,0.0014641933],"genre_scores_gemma":[0.88537323,0.000014508432,0.11444156,0.000013607251,0.000019403955,0.000043477783,0.0000130954995,0.00006466279,0.000016480039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861914,0.00002055183,0.00049199944,0.00024012086,0.00027287568,0.00035532258],"domain_scores_gemma":[0.99935406,0.00019408113,0.000033820226,0.00028369532,0.000021876927,0.00011246901],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058355817,0.00029593718,0.00036146768,0.00038570858,0.000022355889,0.000047436486,0.00012490974,0.00017912069,0.00002679636],"category_scores_gemma":[0.000028323673,0.0002571202,0.000063621526,0.00033760365,0.000010547607,0.00018819317,0.000026934225,0.00041945372,0.000028239456],"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":[0.0000051192014,0.000027801438,0.00026470365,0.0012133993,0.000010234883,0.0000025391028,0.00013413503,0.9946942,0.0006455762,0.00215629,0.0000069418434,0.0008390814],"study_design_scores_gemma":[0.0004776476,0.00004793518,0.0001518911,0.0010335237,0.0000063937805,0.0000058925116,0.000007290953,0.9952767,0.00024712636,0.0022957171,0.00014153597,0.00030833526],"about_ca_topic_score_codex":0.0000040857512,"about_ca_topic_score_gemma":5.6898864e-7,"teacher_disagreement_score":0.7953961,"about_ca_system_score_codex":0.000068046786,"about_ca_system_score_gemma":0.000008103721,"threshold_uncertainty_score":0.9999881},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17808644,0.000037202586,0.818422,0.00028912575,0.00015646427,0.0009006944,0.000004837455,0.0011445348,0.00095869385],"genre_scores_gemma":[0.87872124,0.0000096179765,0.12051364,0.00004021309,0.000118561955,0.00046406366,0.000005799794,0.00011385594,0.000013032985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794865,0.000030674015,0.0007083274,0.00046862933,0.0002466779,0.0005970524],"domain_scores_gemma":[0.999425,0.00009938205,0.000027735015,0.00025760234,0.000041452575,0.00014884317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059779995,0.00033179796,0.00048148874,0.0003476481,0.00002612256,0.000058673857,0.0002525883,0.00016879063,0.000041125724],"category_scores_gemma":[0.00046485392,0.00031766508,0.00006615507,0.0006879251,0.00001114805,0.00035123058,0.0000955707,0.00057789584,0.000049703973],"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":[0.0000072458365,0.00002896731,0.00002377001,0.0019010417,0.000015292566,0.0000051208335,0.001734185,0.8256615,0.16934247,0.00006684685,0.00005516086,0.0011584059],"study_design_scores_gemma":[0.00024418643,0.00015307477,0.000022623613,0.00062013173,0.000008865831,0.000020667085,0.00011422002,0.751995,0.23956682,0.006600231,0.00015219595,0.00050193956],"about_ca_topic_score_codex":0.000010343205,"about_ca_topic_score_gemma":0.000015031235,"teacher_disagreement_score":0.7006348,"about_ca_system_score_codex":0.00034545176,"about_ca_system_score_gemma":0.000010789398,"threshold_uncertainty_score":0.9999275},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000026645117,0.000018671471,0.9967621,0.000648319,0.00008370725,0.0007880159,0.0000031486543,0.00012672553,0.0015426833],"genre_scores_gemma":[0.9749449,7.4314124e-7,0.02388947,0.0004493721,0.00024115882,0.000394398,0.000033042677,0.000038605267,0.00000833054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989158,0.0000046479063,0.00042319697,0.00023674972,0.0001785537,0.00024103872],"domain_scores_gemma":[0.99960047,0.00013612407,0.00007240542,0.0001213109,0.000050965093,0.00001870648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026015795,0.00016186167,0.0002319031,0.00016322585,0.000024146835,0.00013827832,0.00016666694,0.000063948144,0.000055651195],"category_scores_gemma":[0.00079994975,0.00015989102,0.00004014843,0.00058949966,0.000016466529,0.00019976983,0.00006286449,0.0001263525,0.000012609256],"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":[0.0000074878985,0.00011406596,0.00048861396,0.0014222958,0.0000046951436,0.0000013687694,0.000061555125,0.9902969,0.00007173411,0.007162791,0.00033809396,0.00003039861],"study_design_scores_gemma":[0.00062314334,0.00000818544,0.0000018449437,0.0001196485,0.000009848976,1.2995879e-7,0.000044965713,0.997046,0.000010371048,0.0011564373,0.0008000104,0.00017942507],"about_ca_topic_score_codex":0.0000039071933,"about_ca_topic_score_gemma":0.0000016333921,"teacher_disagreement_score":0.97491825,"about_ca_system_score_codex":0.00006951217,"about_ca_system_score_gemma":0.0000149547395,"threshold_uncertainty_score":0.65201664},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21803112,0.000471982,0.7810991,0.00001732877,0.00003683677,0.00013217141,0.0000040802893,0.00009061992,0.00011676108],"genre_scores_gemma":[0.98692906,0.000031663203,0.012965428,0.0000036103568,0.000034013057,0.000011354108,0.0000039538004,0.000020166573,7.646845e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920857,0.000011562086,0.00041569676,0.00011499417,0.00012347693,0.00012571293],"domain_scores_gemma":[0.9997239,0.000046367517,0.000047204838,0.00008601129,0.00004373777,0.00005274098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001536251,0.000121256926,0.0002742497,0.000054539327,0.000009182422,0.000011010989,0.000052874464,0.00007003209,0.000005858717],"category_scores_gemma":[0.000065533975,0.00012535305,0.000026503749,0.00013460271,0.000019936902,0.00009053817,0.000020229681,0.00008276747,4.8686627e-7],"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":[0.000001724028,0.000008026246,0.000014300627,0.0018215553,0.000017675799,6.1651036e-7,0.00062800513,0.90522164,0.08903162,0.0030510512,0.0000042524434,0.00019950897],"study_design_scores_gemma":[0.00027483268,0.000020763615,0.000012780265,0.00021357353,0.000012122728,0.0000042705688,0.000038955754,0.98834497,0.010919948,0.00003491305,0.0000186063,0.00010427888],"about_ca_topic_score_codex":0.0000115810035,"about_ca_topic_score_gemma":0.0000030450767,"teacher_disagreement_score":0.76889795,"about_ca_system_score_codex":0.00006683372,"about_ca_system_score_gemma":0.0000098560995,"threshold_uncertainty_score":0.5111749},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1134563,0.0000031137895,0.88485485,0.00016803092,0.00007449878,0.0002234793,0.0000014087102,0.00039969632,0.0008186119],"genre_scores_gemma":[0.94109845,7.754232e-7,0.058606762,0.000049869053,0.00016649334,0.000043043794,0.0000033811427,0.000026651176,0.000004599116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986034,0.000047851336,0.00040518583,0.0003215551,0.0003065562,0.00031544585],"domain_scores_gemma":[0.9995046,0.000077248325,0.00006009945,0.00019353665,0.0000045830825,0.00015989138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000775712,0.00015920559,0.00018555536,0.000026001597,0.00007336641,0.000023782128,0.00013706091,0.00008922414,0.00003472191],"category_scores_gemma":[0.0001445864,0.00015890843,0.00004394377,0.00027111493,0.000022112055,0.00020381404,0.000045715813,0.00028909455,0.000035634108],"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":[0.000007182811,0.00009647484,0.0008640933,0.0002065698,0.0000027242413,7.2283126e-7,0.0014314557,0.9933891,0.002912735,0.00045727286,0.000015521768,0.00061609864],"study_design_scores_gemma":[0.00017550483,0.000076233664,0.0005286223,0.00014238425,0.0000063904695,0.0000012865504,0.00003889939,0.99698025,0.00024861554,0.0016292159,0.000010778844,0.0001618398],"about_ca_topic_score_codex":0.000007228843,"about_ca_topic_score_gemma":4.6963626e-7,"teacher_disagreement_score":0.82764214,"about_ca_system_score_codex":0.00020155661,"about_ca_system_score_gemma":0.0000045286583,"threshold_uncertainty_score":0.6480097},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003205061,0.00017255511,0.9949819,0.00028116957,0.000027976479,0.000647149,0.000018685652,0.00044021805,0.00022528006],"genre_scores_gemma":[0.5522534,0.0000033860822,0.44748387,0.000031609685,0.00002519766,0.00016230994,0.000007640072,0.00003176555,8.0005935e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902964,0.000021203516,0.00040546383,0.00019342352,0.00014131294,0.00020893563],"domain_scores_gemma":[0.99928683,0.00044529355,0.000051504812,0.000108009495,0.000025749958,0.000082619044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036176975,0.00020347838,0.00034269565,0.00007413237,0.000015484611,0.000026902904,0.00009381328,0.00013141763,0.000013798295],"category_scores_gemma":[0.00036628693,0.00020402325,0.000059030757,0.0002401415,0.000013486221,0.00014686085,0.000024020941,0.00021746421,8.563655e-7],"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":[0.0000048126394,0.000027690598,0.00012860712,0.0040583736,0.00001590361,0.0000011502825,0.00015551323,0.94897705,0.034524497,0.0014370867,0.0001394485,0.010529876],"study_design_scores_gemma":[0.0002787292,0.000056521494,0.00009991031,0.00037281832,0.000016891692,0.0000039138663,0.000010718705,0.9753468,0.020930674,0.0026121337,0.00008806036,0.00018284371],"about_ca_topic_score_codex":0.000004583263,"about_ca_topic_score_gemma":0.0000029648004,"teacher_disagreement_score":0.54904836,"about_ca_system_score_codex":0.000048169943,"about_ca_system_score_gemma":0.0000071583677,"threshold_uncertainty_score":0.8319827},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026192222,0.000027270044,0.9970972,0.00018447124,0.00008372162,0.00068976544,0.0000039644233,0.0008585285,0.0007931745],"genre_scores_gemma":[0.8834093,0.0000016449039,0.116247475,0.000071310846,0.000020533556,0.00015282581,0.000017864842,0.00007653534,0.0000025118811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987505,0.000022293025,0.00053611136,0.00020936485,0.00020556281,0.00027615178],"domain_scores_gemma":[0.9994238,0.0002266072,0.000050763523,0.0001683461,0.000029676323,0.000100779835],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017463474,0.00024964896,0.00034299525,0.00014051367,0.000024130388,0.000047490135,0.00013137987,0.00010528503,0.000029814557],"category_scores_gemma":[0.00047944445,0.00025504405,0.000048352384,0.00036796115,0.0000104119745,0.00019557052,0.000010085902,0.0002781443,0.000025145759],"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":[0.000007366561,0.000020301704,0.000013307579,0.00057541125,0.000009396749,0.0000020835046,0.00013760595,0.99711984,0.0007786257,0.00087733386,0.0000051295087,0.00045359894],"study_design_scores_gemma":[0.0012272412,0.00006745597,0.0000071079635,0.00041458718,0.000009671169,8.2672364e-7,0.000011212092,0.99761134,0.000053967735,0.00035638773,0.000004370885,0.00023583657],"about_ca_topic_score_codex":5.0344966e-7,"about_ca_topic_score_gemma":3.7826737e-7,"teacher_disagreement_score":0.88314736,"about_ca_system_score_codex":0.00017486392,"about_ca_system_score_gemma":0.0000079896945,"threshold_uncertainty_score":0.99999017},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0401926,0.00017397804,0.95811534,0.00071821705,0.00006035084,0.0004444568,0.000117925294,0.000061089486,0.00011604738],"genre_scores_gemma":[0.9023637,0.000007869368,0.097149536,0.000063166175,0.000058945774,0.0000651016,0.00023901211,0.000033469256,0.000019172849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983129,0.000011505091,0.0009006024,0.00044369136,0.00005494379,0.00027638552],"domain_scores_gemma":[0.9992243,0.00017105389,0.00018327075,0.0003316953,0.000014945967,0.00007474329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006364526,0.000187602,0.0005177257,0.00017929597,0.00003357765,0.000090306545,0.00034537143,0.00010200011,0.000010372176],"category_scores_gemma":[0.0012648879,0.00021380112,0.00005959655,0.00034052116,0.000016465621,0.0007130121,0.00015916348,0.000180985,0.000009476374],"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":[0.000015817186,0.00007454479,0.008008966,0.0022672825,0.00003499846,0.0000026269797,0.0026502956,0.9448854,0.00020977898,0.040630836,0.000057859448,0.0011615998],"study_design_scores_gemma":[0.00036521198,0.000028553002,0.0004573611,0.00023422802,0.00000708294,4.867483e-7,0.000022989841,0.9286202,0.00005900071,0.06995339,0.000030447884,0.00022100509],"about_ca_topic_score_codex":0.00014369222,"about_ca_topic_score_gemma":0.000050751067,"teacher_disagreement_score":0.8621711,"about_ca_system_score_codex":0.00006356557,"about_ca_system_score_gemma":0.000011966382,"threshold_uncertainty_score":0.8718557},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9452455,0.0006788857,0.05258735,0.00047717852,0.000046031055,0.00061229477,0.000037017093,0.00012750145,0.00018822525],"genre_scores_gemma":[0.9705608,0.000006128551,0.029011296,0.00018026079,0.0001050477,0.000043880857,0.000028061526,0.000056670528,0.000007890595],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969113,0.00007831605,0.0010481373,0.00059372664,0.0006739347,0.0006945819],"domain_scores_gemma":[0.99897736,0.00031054328,0.00019405609,0.00024271136,0.000068956004,0.00020635023],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005784573,0.00037167457,0.00076817884,0.00017108237,0.00006242309,0.00008985567,0.0004692797,0.00021961737,0.00069687254],"category_scores_gemma":[0.00023441741,0.00031927298,0.00008667425,0.00059666054,0.000067331544,0.0003630583,0.0001439982,0.00056084024,0.000021622292],"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":[0.000057325928,0.0002207769,0.0005765773,0.0007538777,0.000016787732,0.000017546588,0.0011930532,0.2379731,0.75717014,0.0011981562,0.000018714843,0.0008039416],"study_design_scores_gemma":[0.0017164651,0.0008532868,0.0024405774,0.0014491951,0.000039947783,0.000039318376,0.00009299231,0.7994954,0.1337148,0.05882701,0.00021230716,0.0011187107],"about_ca_topic_score_codex":0.00022185025,"about_ca_topic_score_gemma":0.000057877365,"teacher_disagreement_score":0.62345535,"about_ca_system_score_codex":0.000092728515,"about_ca_system_score_gemma":0.00008966124,"threshold_uncertainty_score":0.9999259},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08884694,0.00009100392,0.906766,0.00018052247,0.00010055188,0.0005468942,0.000005941004,0.00069128163,0.0027708746],"genre_scores_gemma":[0.9971527,0.000023855408,0.0026089489,0.000037785958,0.000031272728,0.00009822276,0.000009407626,0.000034362336,0.0000034471327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900615,0.000015826885,0.0003550694,0.00019971201,0.00020154646,0.00022171033],"domain_scores_gemma":[0.99964774,0.000094714385,0.00002671748,0.00013302287,0.000034344568,0.00006345647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030384713,0.00019363925,0.00023539769,0.00012510915,0.00002238975,0.000043643144,0.0001082021,0.00013613056,0.00007287537],"category_scores_gemma":[0.00052893785,0.00018714479,0.000029958224,0.00021414927,0.000045804598,0.00012254488,0.00002835829,0.000275926,0.00004263362],"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":[0.000003938294,0.000025523474,0.000014312896,0.00042884782,0.000024007591,0.0000020693035,0.0013281109,0.9337075,0.027748344,0.008779932,0.00008335094,0.027854113],"study_design_scores_gemma":[0.00049767765,0.000053567688,0.0000738035,0.00024438184,0.000015210132,0.0000028518818,0.00010824205,0.96601397,0.029091422,0.0036687972,0.000027385111,0.00020269824],"about_ca_topic_score_codex":5.989864e-7,"about_ca_topic_score_gemma":0.0000011642586,"teacher_disagreement_score":0.90830576,"about_ca_system_score_codex":0.000116352545,"about_ca_system_score_gemma":0.0000111553145,"threshold_uncertainty_score":0.7631543},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027281398,0.00012234774,0.9715977,0.00028899917,0.00005412503,0.00024498926,0.0000037244088,0.00026687607,0.00013988388],"genre_scores_gemma":[0.9829496,0.0000110800875,0.016781066,0.00004063949,0.000050357914,0.00010906851,0.0000033581696,0.000044642115,0.000010159943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921227,0.000012659484,0.00021487457,0.00014004462,0.00013266466,0.00028750935],"domain_scores_gemma":[0.99970365,0.00010045942,0.00001672118,0.000109642286,0.000011411702,0.00005814426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014158484,0.0001644998,0.00020626008,0.000061053724,0.000023653898,0.00004587123,0.00012164739,0.00007642468,0.000027276925],"category_scores_gemma":[0.00003809288,0.00012462513,0.00002685299,0.00027140364,0.000014138332,0.0001577028,0.000018043298,0.00031041334,0.0000041648955],"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":[0.000003455617,0.000023950915,0.00004741066,0.00028842164,0.00001449622,0.00000640508,0.00046290472,0.9972821,0.00047253113,0.0009362288,0.000018847079,0.00044323163],"study_design_scores_gemma":[0.00062579795,0.000027697153,0.00007147867,0.00014063061,0.000008290324,0.0000060612233,0.00008684142,0.99827397,0.00027987975,0.00008308318,0.00023328167,0.00016301122],"about_ca_topic_score_codex":0.0000032169644,"about_ca_topic_score_gemma":0.000009435319,"teacher_disagreement_score":0.9556682,"about_ca_system_score_codex":0.00005315273,"about_ca_system_score_gemma":0.000005399248,"threshold_uncertainty_score":0.5082066},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1342361,0.0008046563,0.862406,0.000015641761,0.00007761792,0.00017556857,0.0006346966,0.000018172686,0.0016315401],"genre_scores_gemma":[0.9400498,0.00012952504,0.05944543,9.807646e-7,0.00001983273,0.000023235214,0.00029377986,0.000019362758,0.000018049363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782616,0.000007899263,0.00144217,0.0004694984,0.00007018528,0.00018411012],"domain_scores_gemma":[0.9985223,0.00013347721,0.00052237127,0.0007420719,0.000038936476,0.000040855055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006777151,0.00017974497,0.0010888566,0.00044208605,0.000014975548,0.000023028766,0.0003826461,0.00027828262,0.00009828923],"category_scores_gemma":[0.00053241407,0.00021135395,0.00018907801,0.0005365622,0.00004377907,0.0001477983,0.0004915691,0.00035590597,0.0000014492381],"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":[9.751219e-7,0.00008802369,0.0021496355,0.00064856675,0.00018847776,2.7223825e-7,0.00021028958,0.8839985,0.00020503227,0.112101704,0.000008169112,0.00040035462],"study_design_scores_gemma":[0.00008973083,0.0000055155633,0.00047312138,0.00025602264,0.00008206134,6.475592e-7,0.000021011554,0.9055778,0.000054884298,0.09326911,0.0000034738662,0.0001666384],"about_ca_topic_score_codex":0.000052185304,"about_ca_topic_score_gemma":0.000012775563,"teacher_disagreement_score":0.8058137,"about_ca_system_score_codex":0.00006983251,"about_ca_system_score_gemma":0.000029076497,"threshold_uncertainty_score":0.86187637},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023272056,0.000026676375,0.9758353,0.00003204668,0.00007335093,0.0002726859,4.6262082e-7,0.00027658156,0.00021079741],"genre_scores_gemma":[0.909945,0.0000085988595,0.08984556,0.000035060006,0.000052500036,0.000065637876,0.000001819777,0.00004249797,0.0000033258882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917036,0.000012339813,0.00026285206,0.00018252258,0.00013030386,0.00024164541],"domain_scores_gemma":[0.9997357,0.000069826645,0.000023770985,0.00007741921,0.000013543965,0.00007975113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019327576,0.00017929112,0.00018117155,0.00008736655,0.00003386223,0.000034307057,0.000052763327,0.000078043806,0.000008756422],"category_scores_gemma":[0.0000782058,0.00017216396,0.000029779045,0.00013494006,0.0000058603923,0.00009457454,0.00002489603,0.00033837053,0.0000035774563],"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":[0.0000030766494,0.000005495711,0.000013497896,0.0005654734,0.000004938192,9.720145e-7,0.0005786633,0.81181985,0.17878692,0.00008682834,6.5638744e-7,0.0081336275],"study_design_scores_gemma":[0.00035179037,0.0000614907,0.000026969094,0.00014953178,0.000008267402,0.0000012775045,0.000062105144,0.9707983,0.027794039,0.0005566119,0.000017080034,0.00017252019],"about_ca_topic_score_codex":0.0000011070498,"about_ca_topic_score_gemma":8.0029605e-7,"teacher_disagreement_score":0.8866729,"about_ca_system_score_codex":0.0000960183,"about_ca_system_score_gemma":0.0000028789184,"threshold_uncertainty_score":0.7020642},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906904,0.00006294309,0.00041643417,0.00008510491,0.00010430211,0.00010220677,0.000007652031,0.000020808839,0.00013150921],"genre_scores_gemma":[0.99940383,0.0000026041055,0.0004938205,0.00005004448,0.000016552804,0.0000022694185,5.4131607e-7,0.000008818551,0.000021527454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991778,0.000049066526,0.00031386764,0.00017393797,0.00012247269,0.00016283106],"domain_scores_gemma":[0.9993294,0.00034572073,0.000060142847,0.00022668624,0.000015952783,0.00002213188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007738572,0.0001068057,0.00023095256,0.00003228815,0.000013207478,0.0000060560396,0.0002318063,0.000072544484,0.000095231175],"category_scores_gemma":[0.0012226818,0.00006131114,0.00006912712,0.00033738295,0.00010254219,0.000033239263,0.000112564514,0.00023999372,7.934495e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014097515,0.000052334854,0.0011690662,0.0002176604,0.0000016653942,0.00008490211,0.00042877978,0.017710993,0.9793265,0.0009758076,9.269727e-7,0.000029992383],"study_design_scores_gemma":[0.00021332008,0.000026612815,0.0014006335,0.00011800473,0.000004873714,0.0006405186,0.000028784303,0.010492756,0.9693784,0.01758529,0.000002877502,0.00010789071],"about_ca_topic_score_codex":0.0000011450165,"about_ca_topic_score_gemma":0.0000021846542,"teacher_disagreement_score":0.016609482,"about_ca_system_score_codex":0.000005349544,"about_ca_system_score_gemma":0.00001074088,"threshold_uncertainty_score":0.25001958},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19394605,0.0019870424,0.79168856,0.00009749807,0.00287902,0.0015608941,0.00003198636,0.00066362094,0.0071453354],"genre_scores_gemma":[0.99923915,0.0000054791985,0.00029520373,0.0000011938581,0.00005853596,0.00013598384,0.0000056787844,0.000044625074,0.00021417889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981256,0.000045746765,0.0010334655,0.00021970745,0.00030570835,0.0002697686],"domain_scores_gemma":[0.99907905,0.000093144845,0.00011533593,0.00058059266,0.00007885528,0.000053005748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000575178,0.00018913021,0.00038349652,0.00011255504,0.000040432667,0.00006654832,0.00024352652,0.00013418765,0.000012562726],"category_scores_gemma":[0.00010454524,0.00016212043,0.00012751551,0.0005308402,0.000017716928,0.0001208296,0.00005314135,0.00021495926,0.000029407554],"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":[0.0000011787131,0.00004756758,0.00016296156,0.01576232,0.000085018684,0.0000074344416,0.0008678784,0.634798,0.29875952,0.049109593,0.00010998303,0.0002885437],"study_design_scores_gemma":[0.0003266285,0.00000440886,0.0007964332,0.0024548592,0.00004270494,0.0000690243,0.00060315867,0.96685034,0.028283224,0.00014226465,0.00019708148,0.00022989536],"about_ca_topic_score_codex":0.000017412314,"about_ca_topic_score_gemma":0.000014649207,"teacher_disagreement_score":0.8052931,"about_ca_system_score_codex":0.00034197493,"about_ca_system_score_gemma":0.000018726738,"threshold_uncertainty_score":0.6611079},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06221309,0.00008985572,0.9368566,0.00002733164,0.000082585706,0.00018244822,0.000005651458,0.00017805754,0.00036433525],"genre_scores_gemma":[0.97938555,0.00001368781,0.020452766,0.000018769108,0.000018165823,0.00004574674,0.000013465615,0.000035698027,0.000016159205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992668,0.000016746673,0.00028835417,0.00013042593,0.0001143581,0.00018330774],"domain_scores_gemma":[0.99931955,0.00037371594,0.000023790659,0.00021587832,0.000035901212,0.00003115421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012828593,0.00014162809,0.00017840782,0.00006207479,0.000029250135,0.000025319448,0.000088042885,0.00006657126,0.000027449027],"category_scores_gemma":[0.00023229599,0.00011996038,0.000038951646,0.00013883189,0.000019712917,0.000050084698,0.000021631662,0.00016285139,0.0000077547365],"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":[0.0000018538277,0.000046812165,0.000007777802,0.00032789216,0.000009629078,0.000007373536,0.00009624328,0.9941078,0.0035380675,0.0016689979,0.0000067528663,0.0001808049],"study_design_scores_gemma":[0.00019864691,0.000020546018,0.000017931105,0.0001761659,0.0000059549757,0.0000045311713,0.000012284627,0.9708329,0.02785689,0.00070414494,0.000047148013,0.00012284388],"about_ca_topic_score_codex":0.0000015838095,"about_ca_topic_score_gemma":0.0000058212627,"teacher_disagreement_score":0.91717243,"about_ca_system_score_codex":0.00006762107,"about_ca_system_score_gemma":0.000010760206,"threshold_uncertainty_score":0.48918423},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.083058596,0.00000848059,0.8800876,0.00019067511,0.00009173509,0.000342774,0.0000013898925,0.00019107426,0.03602768],"genre_scores_gemma":[0.9966141,4.508473e-7,0.003135618,0.00006686366,0.00004550583,0.000053927262,0.00004424941,0.000021171723,0.000018126459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865663,0.00000849444,0.00073744304,0.00021936558,0.00022062068,0.00015743669],"domain_scores_gemma":[0.9992849,0.00004502252,0.0001642576,0.0001817762,0.000320115,0.0000039253027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008693196,0.00014881723,0.00023819182,0.0010111359,0.000035896628,0.00008538317,0.00008499579,0.000102985796,0.000008719067],"category_scores_gemma":[0.0004340022,0.00014351998,0.000020456559,0.002456355,0.000016034572,0.00019526327,0.00009034423,0.00015319236,0.000010339283],"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":[0.000003250178,0.00007517073,0.000212923,0.0031000138,0.000005659556,0.0000024240885,0.000012625569,0.20927869,0.00040366474,0.7862182,0.0000017908145,0.00068555126],"study_design_scores_gemma":[0.00034845434,0.00000686082,0.000019201847,0.001278285,0.00001055094,0.0000014638794,0.00026072146,0.9854438,0.00014269553,0.012310589,0.000044724737,0.00013270581],"about_ca_topic_score_codex":0.0000017230494,"about_ca_topic_score_gemma":0.000002143044,"teacher_disagreement_score":0.9135555,"about_ca_system_score_codex":0.00014249206,"about_ca_system_score_gemma":0.000010428819,"threshold_uncertainty_score":0.58525753},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06887346,0.000050939205,0.93011516,0.00009313062,0.000085935004,0.00037829808,4.849653e-7,0.00018328897,0.00021930978],"genre_scores_gemma":[0.89321256,2.822493e-7,0.106654726,0.000008594931,0.00003647757,0.00006142687,4.6180503e-7,0.000013895082,0.000011603749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988623,0.000033496755,0.00024720642,0.0003563002,0.000227212,0.00027344562],"domain_scores_gemma":[0.99921536,0.00020635092,0.00004565515,0.00042168493,0.000039421793,0.000071504204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002026121,0.00016872311,0.00029360916,0.0000796805,0.000066937384,0.0001364808,0.0002772591,0.0000414215,0.000001205602],"category_scores_gemma":[0.000011373437,0.0001566751,0.00004571198,0.00057964824,0.000007705013,0.00011763449,0.00009889946,0.00027071813,0.0000104374],"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":[4.9625487e-7,0.0001402377,0.000015779357,0.00015275212,0.0000072894063,0.000018316729,0.00047205045,0.9327597,0.0015682387,0.06484678,0.0000029426892,0.000015397913],"study_design_scores_gemma":[0.00020100309,0.00002801837,0.00001834094,0.0006704118,0.000005488123,0.000009086922,0.00008594951,0.99593717,0.0021990382,0.0006744432,0.000009862541,0.00016121563],"about_ca_topic_score_codex":0.0000031965146,"about_ca_topic_score_gemma":0.0000010758066,"teacher_disagreement_score":0.8243391,"about_ca_system_score_codex":0.00011883092,"about_ca_system_score_gemma":0.000024927278,"threshold_uncertainty_score":0.63890254},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7660367,0.00047788132,0.23279916,0.00032266404,0.000020703668,0.00022213235,0.0000020469115,0.000078850906,0.00003984509],"genre_scores_gemma":[0.97390574,0.000056457073,0.025872374,0.000011767377,0.0000026665036,0.0001342134,8.5315116e-7,0.000008880508,0.000007056013],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988431,0.000018630533,0.00046668056,0.00030850526,0.00008909597,0.00027403672],"domain_scores_gemma":[0.9994343,0.0001167511,0.00005770095,0.0003376394,0.000020833497,0.00003281188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037167157,0.00012936238,0.00030714978,0.0004676888,0.000011865719,0.0000128697575,0.00035422159,0.00022865029,0.000002747968],"category_scores_gemma":[0.00016009164,0.00013664563,0.000018130648,0.0009042608,0.00006072634,0.000043043732,0.00029805847,0.00032362045,0.0000010410291],"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":[0.0000067750098,0.0024811185,0.44673198,0.0035809963,0.000028892755,0.00028807644,0.007000188,0.011984497,0.062402897,0.4388935,0.000022357954,0.026578719],"study_design_scores_gemma":[0.0010557524,0.00007797506,0.02509483,0.0012405032,0.0000043844666,0.00011935652,0.00020558559,0.8539054,0.0317004,0.086141005,0.000048040063,0.00040678005],"about_ca_topic_score_codex":0.000009345568,"about_ca_topic_score_gemma":0.00007336065,"teacher_disagreement_score":0.8419209,"about_ca_system_score_codex":0.000044240922,"about_ca_system_score_gemma":0.000024197492,"threshold_uncertainty_score":0.5572247},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00084889104,0.0003101168,0.9979812,0.000023656976,0.000053357864,0.00044552307,0.000023019624,0.0001841137,0.00013012884],"genre_scores_gemma":[0.66166735,0.000010211134,0.33799008,0.0000027497908,0.00002771336,0.00021635306,0.000017709464,0.000051054074,0.000016775317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990691,0.000010254049,0.00036033025,0.00015581225,0.00012135713,0.00028314628],"domain_scores_gemma":[0.9991685,0.00041301912,0.000017113718,0.00023179964,0.00007440278,0.000095128926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019320435,0.00014832076,0.00025462886,0.00010894609,0.000014657425,0.000018798579,0.00013575476,0.00010553176,0.00008867063],"category_scores_gemma":[0.00038673027,0.0001517819,0.000057846693,0.00038799038,0.0000121991025,0.00005016397,0.000020974536,0.00016436585,0.0000025475742],"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":[0.0000013383925,0.000044784934,9.618784e-7,0.0018874768,0.000013041928,6.53552e-7,0.000030389137,0.9505685,0.04046747,0.0066823834,0.000058753292,0.0002442394],"study_design_scores_gemma":[0.00031882589,0.000018388217,0.0000020986658,0.00024334904,0.000006808983,0.0000018227586,0.0000040379014,0.9296961,0.06592612,0.0034757766,0.00016877017,0.00013790373],"about_ca_topic_score_codex":1.9620731e-7,"about_ca_topic_score_gemma":3.9888974e-7,"teacher_disagreement_score":0.66081846,"about_ca_system_score_codex":0.000059116523,"about_ca_system_score_gemma":0.00003509426,"threshold_uncertainty_score":0.61894864},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29780206,0.0001638925,0.7014802,0.00001997445,0.000052382173,0.00027395625,0.00004484323,0.000043371325,0.000119286975],"genre_scores_gemma":[0.9962953,0.000020924132,0.0034793008,0.0000043361288,0.000005448279,0.00006532262,0.00009121798,0.000022771112,0.00001540052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985117,0.000044711232,0.0007853746,0.00020768469,0.00019286298,0.00025770013],"domain_scores_gemma":[0.99870217,0.0008124053,0.00007708596,0.00028753115,0.00006639559,0.000054435724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066477485,0.00018756208,0.0006861833,0.00073950994,0.000015233398,0.00001643034,0.00012978021,0.000121795485,0.000055018903],"category_scores_gemma":[0.00064216077,0.0001747535,0.00019630796,0.0014566063,0.000024228983,0.00009160975,0.00001737734,0.00018300775,7.2914077e-7],"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":[0.000013148949,0.00008493191,0.00070304284,0.0008683483,0.0001559589,0.0000012386415,0.00046373092,0.9248331,0.07220235,0.0006467364,0.0000024902606,0.000024936857],"study_design_scores_gemma":[0.0006931144,0.00002752475,0.00014116909,0.0003668547,0.00014282191,1.3913738e-7,0.00011357554,0.9740628,0.02354099,0.00075631007,0.000005098473,0.00014960712],"about_ca_topic_score_codex":0.000007122822,"about_ca_topic_score_gemma":0.000041003677,"teacher_disagreement_score":0.69849324,"about_ca_system_score_codex":0.000092693794,"about_ca_system_score_gemma":0.000026565536,"threshold_uncertainty_score":0.7126241},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05556283,0.00021790827,0.93686545,0.0010060723,0.00009519222,0.00043354966,0.00017758581,0.000070253736,0.005571177],"genre_scores_gemma":[0.9764571,0.000017698241,0.022473574,0.00082947995,0.00002302149,0.00011694876,0.00004371689,0.000015809477,0.000022604127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982026,0.000026472875,0.0008941343,0.0003765852,0.000116305775,0.00038386794],"domain_scores_gemma":[0.9989543,0.00026306036,0.000051539944,0.00038253295,0.000028596432,0.0003199815],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001097787,0.00021493426,0.00044463377,0.000115097515,0.000038034173,0.00014943093,0.00026934236,0.00014569091,0.0011932657],"category_scores_gemma":[0.001572346,0.0002445677,0.00012664997,0.00044327273,0.000020393754,0.0003812416,0.000069093185,0.00021748291,0.00009305904],"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":[0.0002084089,0.0009909864,0.07069223,0.010689498,0.00018697279,0.000034460994,0.0052716862,0.4935742,0.0003458425,0.41437462,0.00040741585,0.0032236679],"study_design_scores_gemma":[0.0005474142,0.000020457053,0.0027915563,0.0001804698,0.0000070468623,0.0000039338533,0.000025234676,0.9087904,0.000032310676,0.085327625,0.0019639337,0.0003096081],"about_ca_topic_score_codex":0.00015402278,"about_ca_topic_score_gemma":0.000018503666,"teacher_disagreement_score":0.9208943,"about_ca_system_score_codex":0.00049703807,"about_ca_system_score_gemma":0.000086329674,"threshold_uncertainty_score":0.9997198},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33057484,0.000500872,0.6605132,0.005986981,0.0003235978,0.0014841276,0.0000069572593,0.00023692597,0.00037248727],"genre_scores_gemma":[0.98703545,0.00003804733,0.012451199,0.0002598494,0.00007572829,0.000075235024,0.000022309267,0.000029901215,0.000012275542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864817,0.00007833645,0.0003585632,0.00025824129,0.00037995927,0.00027676084],"domain_scores_gemma":[0.998606,0.0009399261,0.000037473903,0.00020406762,0.00013028832,0.00008222522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091164815,0.00011958788,0.000261095,0.0002337772,0.000030150368,0.00001824932,0.00003806781,0.000097068805,0.000033134133],"category_scores_gemma":[0.00062739075,0.000116715244,0.000049364768,0.00047171785,0.000041790376,0.000034809782,0.000038182396,0.00041273882,0.000015844917],"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":[0.000053861648,0.0010956372,0.000527957,0.004341282,0.000035179302,0.00008501283,0.00022577707,0.92969865,0.009581151,0.0012339094,0.0001619836,0.052959606],"study_design_scores_gemma":[0.0005100712,0.00031511197,0.0018199215,0.003980197,0.0000208575,0.000015091386,0.000031133444,0.9887498,0.0023084679,0.0020740505,0.00007625392,0.00009905755],"about_ca_topic_score_codex":0.0000063358752,"about_ca_topic_score_gemma":0.0000020279767,"teacher_disagreement_score":0.65646064,"about_ca_system_score_codex":0.00018561445,"about_ca_system_score_gemma":0.000030701987,"threshold_uncertainty_score":0.47595093},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003592344,0.00028719284,0.9940028,0.000002505824,0.000062763575,0.0016257733,0.00000665002,0.00017935273,0.00024061883],"genre_scores_gemma":[0.6156048,0.00000646178,0.38373685,0.0000034829243,0.000011958325,0.0005694883,0.000006306997,0.00005473966,0.0000058927185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986869,0.000022016498,0.0006071351,0.00027802287,0.00010936091,0.00029657074],"domain_scores_gemma":[0.999335,0.00031390772,0.000059834307,0.00018602278,0.00005656133,0.000048681643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032379548,0.00022982409,0.00042184544,0.0002504092,0.0000114117,0.000021406331,0.00009383623,0.00009870654,0.0000034055674],"category_scores_gemma":[0.00015268475,0.00025051745,0.00004649997,0.0002521503,0.000020252244,0.00010526903,0.00003916112,0.00025007056,8.8497e-7],"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":[0.0000011675698,0.000078127705,0.000022969507,0.0028948814,0.00001099148,0.000005848204,0.0009740241,0.985269,0.0052618813,0.00017228973,0.0000020101284,0.005306817],"study_design_scores_gemma":[0.0006462211,0.00006697712,0.00001734425,0.0025752399,0.000006290155,0.00002222953,0.00004082551,0.9783385,0.016186964,0.0018633412,0.000009722032,0.00022637974],"about_ca_topic_score_codex":0.000007731606,"about_ca_topic_score_gemma":0.0000015859873,"teacher_disagreement_score":0.61201245,"about_ca_system_score_codex":0.00016757316,"about_ca_system_score_gemma":0.000015205939,"threshold_uncertainty_score":0.9999947},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000659793,0.00013746745,0.99621034,0.0015167072,0.000019252253,0.0009235304,0.0001438572,0.0001578981,0.00023114397],"genre_scores_gemma":[0.73613346,0.000020708958,0.26292458,0.00023172078,0.000024777593,0.00033977668,0.00022660645,0.00003562579,0.000062775536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983984,0.000033711036,0.00055452005,0.00050165766,0.00021930946,0.0002923701],"domain_scores_gemma":[0.9980061,0.00084578985,0.00006539604,0.00063900225,0.00009353758,0.00035016314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037262082,0.00022112865,0.0003357838,0.00010393247,0.00012246855,0.00012504368,0.00020788137,0.00010502541,0.00006677029],"category_scores_gemma":[0.0039030716,0.00021245025,0.000017336197,0.0005066139,0.000090746,0.00011973737,0.00023064375,0.0001833196,0.00002360191],"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":[0.0000041605176,0.00019816966,0.00002867453,0.0021250148,0.000024136212,0.000004026179,0.00026472032,0.03713162,0.0016300322,0.9568917,0.0004791982,0.0012185319],"study_design_scores_gemma":[0.00029608532,0.00001721449,0.00026597895,0.00021484189,0.000043725082,0.00003136677,0.00014051274,0.7204437,0.000067535046,0.2774768,0.0007413903,0.0002608495],"about_ca_topic_score_codex":0.000019525221,"about_ca_topic_score_gemma":0.000016992657,"teacher_disagreement_score":0.73547363,"about_ca_system_score_codex":0.00011442054,"about_ca_system_score_gemma":0.00010546255,"threshold_uncertainty_score":0.86634696},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012745093,0.0023509567,0.97873896,0.00204566,0.0002073036,0.0010777768,0.0000010650907,0.0005571266,0.002276054],"genre_scores_gemma":[0.95380926,0.000028921608,0.044601616,0.0003735088,0.00026949533,0.00041254374,0.000009677327,0.00010567741,0.000389308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805754,0.000014150057,0.00049026025,0.0004481949,0.00021838813,0.0007714671],"domain_scores_gemma":[0.99929196,0.0002028103,0.000086270054,0.00031668245,0.000075186355,0.000027067563],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008620144,0.00030169328,0.00040868833,0.00048811838,0.00009477577,0.0002252086,0.00020752774,0.00014042771,0.00019344637],"category_scores_gemma":[0.00063639675,0.0003253651,0.000038797298,0.001517556,0.000056767673,0.00023558883,0.00050783803,0.00032299652,0.0000375813],"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":[0.0000037989428,0.00013782458,0.0018638603,0.0033756185,0.000049493414,0.00015906496,0.00008965435,0.729393,0.0013159544,0.25832883,0.0035756514,0.0017072752],"study_design_scores_gemma":[0.00068684533,0.000011626268,0.000022769274,0.0007258731,0.000032866326,0.000021688526,0.00039283364,0.7330102,0.00027558365,0.24994914,0.014339962,0.00053061114],"about_ca_topic_score_codex":0.000013152646,"about_ca_topic_score_gemma":0.000004167748,"teacher_disagreement_score":0.9410642,"about_ca_system_score_codex":0.00007783901,"about_ca_system_score_gemma":0.00001859493,"threshold_uncertainty_score":0.99991983},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72089255,0.0000821678,0.2761046,0.000014752762,0.00006264195,0.0008986636,0.000015773749,0.000033769553,0.0018950965],"genre_scores_gemma":[0.90398073,0.000009211588,0.09590188,0.0000010888411,0.0000073595756,0.000031859072,0.000012498059,0.000022016939,0.00003334639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986739,0.000025973482,0.00078693934,0.00015915486,0.00021424962,0.0001397939],"domain_scores_gemma":[0.99929565,0.00011571484,0.00015193484,0.00032501612,0.00008046744,0.00003122707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045138414,0.00010756086,0.00036824643,0.00015180431,0.000004551443,0.0000043453047,0.000117760304,0.000069596215,0.00001562505],"category_scores_gemma":[0.00016984947,0.00010738866,0.000034852666,0.00048324387,0.000017481927,0.0000599716,0.00004091995,0.000076158,0.0000010371205],"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":[0.000016872826,0.0017275315,0.0051019043,0.026494,0.000065509,0.000008766095,0.0032885391,0.7467008,0.019882046,0.19619688,0.000008357072,0.0005087634],"study_design_scores_gemma":[0.00079370115,0.00007494023,0.0008692616,0.0018896258,0.000030113215,0.0000042761985,0.0005022727,0.9120963,0.004899398,0.07864941,0.0000045712536,0.00018613334],"about_ca_topic_score_codex":0.000018428298,"about_ca_topic_score_gemma":0.000018367184,"teacher_disagreement_score":0.1830882,"about_ca_system_score_codex":0.000048271788,"about_ca_system_score_gemma":0.000013475392,"threshold_uncertainty_score":0.43791825},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01331724,0.0002753167,0.9860747,0.00007326056,0.000037650974,0.00006268941,0.000004211061,0.000058244634,0.00009667852],"genre_scores_gemma":[0.8957488,0.0000075402168,0.104154825,0.000019748446,0.000011233177,0.00002310221,0.000006472228,0.0000063431853,0.00002194767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991367,0.000014979053,0.000238045,0.0002339445,0.00016713211,0.0002091989],"domain_scores_gemma":[0.9995334,0.00023642989,0.000020347552,0.00013315004,0.000011112582,0.00006551635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014394475,0.00009442951,0.00017761398,0.0001877592,0.000045788776,0.000107810316,0.00009923451,0.000032910597,0.000010460362],"category_scores_gemma":[0.000015588195,0.00009499283,0.000036829384,0.00047250406,0.000012307183,0.00013704118,0.00012187815,0.000099035424,0.0000071888453],"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":[5.0414574e-8,0.00001836447,0.00002457668,0.000050256647,0.00002793132,0.0000065758877,0.00015961648,0.6922632,0.00008900838,0.3073013,2.3077432e-7,0.00005888057],"study_design_scores_gemma":[0.00007113371,0.0000032788278,0.00007623706,0.00006430645,0.00002149658,0.000020754158,0.000053918542,0.9231145,0.000017717968,0.07644984,0.0000027856022,0.00010406686],"about_ca_topic_score_codex":0.000001568115,"about_ca_topic_score_gemma":1.510409e-7,"teacher_disagreement_score":0.88243157,"about_ca_system_score_codex":0.000036405014,"about_ca_system_score_gemma":0.000007751979,"threshold_uncertainty_score":0.3873695},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58077925,0.000045856254,0.41843432,0.00011083569,0.00005685468,0.00015974736,0.00010815326,0.000026258114,0.000278753],"genre_scores_gemma":[0.99435717,0.000016260368,0.0054477346,0.000007021872,0.000005587294,0.00005888623,0.000012910726,0.000011422656,0.000082985745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99711,0.00019333072,0.001118563,0.00031039308,0.0010792121,0.00018848153],"domain_scores_gemma":[0.9978027,0.0014282281,0.00029012532,0.0003718486,0.000060923547,0.000046222965],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038035575,0.00013088406,0.00064376,0.0009336613,0.00007320364,0.0000350051,0.0003780859,0.00003702501,0.0013564196],"category_scores_gemma":[0.0011139584,0.00010569657,0.00023527053,0.0027202084,0.00002935212,0.000093973715,0.000032413333,0.00018963458,0.00003135987],"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":[0.0000219621,0.00010702649,0.0008410787,0.000030438741,0.00014653051,0.0000038499443,0.0019769827,0.97899103,0.0014705276,0.015828837,0.000017998953,0.00056371477],"study_design_scores_gemma":[0.00053688756,0.00030013022,0.010497902,0.000050507675,0.00046823086,0.0000013383195,0.0017219625,0.77552944,0.0024178089,0.20794722,0.00017855046,0.00035001687],"about_ca_topic_score_codex":0.00005618857,"about_ca_topic_score_gemma":0.000033308803,"teacher_disagreement_score":0.41357797,"about_ca_system_score_codex":0.000048012695,"about_ca_system_score_gemma":0.000012492775,"threshold_uncertainty_score":0.9995565},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022098333,0.00009766474,0.97556484,0.0010959408,0.000022809607,0.00072584953,0.000035952253,0.00031019677,0.00004842298],"genre_scores_gemma":[0.973642,0.00001155419,0.02534797,0.00048725403,0.00000955827,0.00043509828,0.000017518267,0.00003217969,0.000016853397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774057,0.00021395925,0.0007095939,0.0005560933,0.00028592587,0.0004938755],"domain_scores_gemma":[0.9964959,0.0027896536,0.0001369769,0.00032438515,0.000018828005,0.00023424855],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00216506,0.00034054313,0.0007634418,0.00020334103,0.00019364063,0.000023336888,0.00020147653,0.00010648055,0.00005062831],"category_scores_gemma":[0.0016928924,0.00025999275,0.0001425949,0.0010330721,0.00006044932,0.0000638731,0.00014103597,0.0004992241,2.8827333e-7],"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":[0.00006940274,0.00013978397,0.0018267005,0.00062168407,0.00010078421,0.0000071692243,0.00013215386,0.99412906,0.000051109993,0.0026473717,0.000027426822,0.0002473461],"study_design_scores_gemma":[0.00073387334,0.00018883898,0.0004778124,0.0000600309,0.00022014588,0.0000057593825,0.000024945626,0.9465029,4.9995725e-7,0.051522337,0.000014462391,0.00024836633],"about_ca_topic_score_codex":0.000018992532,"about_ca_topic_score_gemma":0.000017129614,"teacher_disagreement_score":0.9515437,"about_ca_system_score_codex":0.0007922621,"about_ca_system_score_gemma":0.000033672644,"threshold_uncertainty_score":0.9999852},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056964327,0.000018651835,0.9419251,0.00023889286,0.00024657292,0.00028735268,5.928392e-7,0.00015739392,0.00016110156],"genre_scores_gemma":[0.9660853,5.381013e-7,0.033649914,0.00006060824,0.00003244392,0.00014406617,0.0000024729816,0.000016599264,0.000008051771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843264,0.0001713427,0.00042503464,0.00029770622,0.00030835703,0.00036492257],"domain_scores_gemma":[0.9992449,0.00031900956,0.00005739593,0.00031665174,0.000012845307,0.000049144066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015294985,0.0001488396,0.00023130287,0.00020516633,0.000093347124,0.000060140726,0.00038285696,0.000034724377,0.000017280427],"category_scores_gemma":[0.00010610634,0.00015386239,0.00006808916,0.0007401356,0.000009186665,0.00010605905,0.0001473527,0.00034375425,0.0000055789355],"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":[0.0000023733626,0.00009080463,0.003049091,0.000120656965,0.0000025868726,0.000011024343,0.00006152621,0.99045306,0.00025034684,0.0023279353,0.0000109714,0.0036196175],"study_design_scores_gemma":[0.00039867722,0.00006992835,0.010936243,0.000082278966,0.0000012790401,0.000014225169,0.0000038122587,0.98171073,0.000024999057,0.006463766,0.00013393973,0.00016014183],"about_ca_topic_score_codex":0.00003154927,"about_ca_topic_score_gemma":0.000045038083,"teacher_disagreement_score":0.909121,"about_ca_system_score_codex":0.00014713753,"about_ca_system_score_gemma":0.000012750437,"threshold_uncertainty_score":0.62743264},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12838003,0.000076764256,0.87024045,0.00007578568,0.0001683634,0.000592083,0.000012021851,0.00012224317,0.00033225806],"genre_scores_gemma":[0.98773783,0.0000012753762,0.011634163,0.000008169977,0.000024685723,0.0005232272,0.00000986293,0.000051235693,0.000009556841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852633,0.00007377923,0.0005739137,0.00020285159,0.00029653937,0.00032660825],"domain_scores_gemma":[0.9993718,0.0003253354,0.00003247085,0.00022246096,0.0000163578,0.000031541058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018076329,0.00020279936,0.00036581815,0.00033728324,0.00004722815,0.000029276413,0.00023081015,0.000020986576,0.000055987693],"category_scores_gemma":[0.00009714284,0.00015860687,0.00010625247,0.00029123595,0.000008703152,0.00009114507,0.00007057966,0.00031967374,0.0000032335297],"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":[0.000012864043,0.0002631689,0.00005491228,0.00035451597,0.00005372678,0.0000057645716,0.0041622096,0.96859586,0.021411927,0.00016615407,0.000011460886,0.0049074423],"study_design_scores_gemma":[0.0012707852,0.0000844754,0.0000057445604,0.0001840015,0.000029141065,0.0000028881173,0.0009876527,0.9918391,0.004513054,0.00088438985,0.000021586564,0.00017715576],"about_ca_topic_score_codex":0.0000071802065,"about_ca_topic_score_gemma":0.0000067484975,"teacher_disagreement_score":0.8593578,"about_ca_system_score_codex":0.00017788842,"about_ca_system_score_gemma":0.000005313857,"threshold_uncertainty_score":0.64678},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06498283,0.0013292225,0.91962236,0.000310527,0.00011674105,0.00081539433,0.000029016343,0.00007903223,0.012714857],"genre_scores_gemma":[0.93208694,0.00016230425,0.06698351,0.000020898497,0.00010461075,0.00011221075,0.000003993158,0.00005511974,0.00047038973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982788,0.000003874262,0.00082054146,0.00040628028,0.00004379406,0.00044672933],"domain_scores_gemma":[0.9991414,0.00010218712,0.00024686154,0.00042087122,0.000023919727,0.00006473811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008879443,0.00023445245,0.00058257947,0.00014163756,0.00019097497,0.00026325716,0.0003133404,0.0001273793,0.000045986406],"category_scores_gemma":[0.00063963776,0.0002377398,0.000087085056,0.000060024435,0.00007650625,0.00034577242,0.0001419832,0.00019029302,0.00006222153],"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":[0.0000051673205,0.00015506694,0.0009920188,0.002314438,0.000029541101,0.0000019854317,0.0004213858,0.087475225,0.000024495317,0.9079589,0.00007152542,0.00055021717],"study_design_scores_gemma":[0.00034852413,0.000046076188,0.00013599955,0.0005106307,0.0000038755365,0.0000026526122,0.0000064065666,0.70096797,0.000006450395,0.29692212,0.0008333522,0.00021593439],"about_ca_topic_score_codex":0.000019641058,"about_ca_topic_score_gemma":0.0000028632355,"teacher_disagreement_score":0.8671041,"about_ca_system_score_codex":0.00004582402,"about_ca_system_score_gemma":0.000012234998,"threshold_uncertainty_score":0.9694748},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6358003,0.0000026628998,0.36384532,0.000019217661,0.0000063153316,0.00022614496,0.000003016273,0.000006448472,0.00009057295],"genre_scores_gemma":[0.98252726,0.0000016454645,0.017343583,0.000019737328,0.0000047708354,0.00007117962,0.0000074474674,0.000012502144,0.000011871223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860483,0.000036364385,0.00043894784,0.00016368782,0.0004998855,0.00025629616],"domain_scores_gemma":[0.99960226,0.00006267317,0.00012352003,0.00016822622,0.0000077394725,0.000035557805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008385091,0.00012048416,0.00017389363,0.00006248081,0.00012185551,0.0000086341215,0.00015465336,0.000020065962,0.0002852955],"category_scores_gemma":[0.000022912327,0.000091716785,0.00002874041,0.0002181474,0.000054447883,0.000101541256,0.00020118675,0.00013251234,3.4675233e-7],"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":[0.000005263112,0.00013086798,0.002088869,0.00005627364,0.0000065467493,0.0000014002721,0.0016791265,0.9811635,0.013462493,0.00085662305,0.000008193412,0.00054084294],"study_design_scores_gemma":[0.00060463086,0.00034273847,0.018244913,0.000023546396,0.000029959769,0.00004748527,0.00070507394,0.94836116,0.023874445,0.0074155075,0.000073587435,0.0002769623],"about_ca_topic_score_codex":0.000099472345,"about_ca_topic_score_gemma":0.000037773243,"teacher_disagreement_score":0.34672695,"about_ca_system_score_codex":0.0007362013,"about_ca_system_score_gemma":0.00009662169,"threshold_uncertainty_score":0.3740102},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951406,0.000005866541,0.0038178975,0.000019819896,0.00003162088,0.0004607242,0.0000048630814,0.000016499636,0.0005020986],"genre_scores_gemma":[0.9991446,6.639566e-7,0.000609473,0.000004075383,0.0000022017025,0.00020930334,0.000004443917,0.000011286209,0.000013924489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906844,0.000036828787,0.0003145929,0.00015584809,0.0002914323,0.00013285966],"domain_scores_gemma":[0.99964994,0.00006567463,0.00006931631,0.0001772519,0.0000027472063,0.00003506136],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036279118,0.000087053864,0.00013898194,0.000043662807,0.000020780952,0.0000029774565,0.00010882453,0.000030154424,0.0013970478],"category_scores_gemma":[0.00005462985,0.00008987328,0.000033462235,0.000144922,0.000064919695,0.000038909122,0.00006527102,0.00014006598,0.0000027137426],"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":[0.0000045511692,0.0012571707,0.030774828,0.00062242517,0.000001655746,7.758684e-7,0.00031267313,0.95559925,0.010682733,0.00045083195,0.0000011886832,0.00029190572],"study_design_scores_gemma":[0.0009089417,0.00088191737,0.17434269,0.00023381056,0.000021518694,0.000003906569,0.00042958057,0.8026868,0.0145115685,0.005614959,0.000009552864,0.00035472383],"about_ca_topic_score_codex":0.000010142497,"about_ca_topic_score_gemma":0.0000032947105,"teacher_disagreement_score":0.15291244,"about_ca_system_score_codex":0.00026072492,"about_ca_system_score_gemma":0.000008394882,"threshold_uncertainty_score":0.99951583},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3957182,0.00032028876,0.60259587,0.000010222207,0.00020335437,0.00047564824,0.000013830742,0.0002655873,0.0003970315],"genre_scores_gemma":[0.9765411,0.0000031448023,0.0226345,0.0000045601882,0.000060670136,0.0005471279,0.000018360044,0.00014037127,0.00005018667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99661964,0.00032886933,0.0011426666,0.00054017355,0.0006971126,0.0006715527],"domain_scores_gemma":[0.9985262,0.00037206287,0.00023215922,0.00058519805,0.00011036664,0.00017399984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011245093,0.00039470475,0.0008704258,0.0003649954,0.00013530625,0.00004961563,0.00036329773,0.00006167925,0.000093525035],"category_scores_gemma":[0.00013997554,0.00037390366,0.00014363878,0.00055605144,0.00007466599,0.0003010461,0.0002407758,0.00035506615,0.000002006525],"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":[0.00009568996,0.00015041385,0.00002425934,0.0015202432,0.00010029122,0.000041426334,0.0015729981,0.96452755,0.02896457,0.0029163836,0.0000034593047,0.000082739876],"study_design_scores_gemma":[0.0023676653,0.00009143672,0.0000010630421,0.00057317864,0.000037715847,0.00010833314,0.0037178993,0.96859556,0.023958428,0.000086773114,0.000069638925,0.00039230636],"about_ca_topic_score_codex":0.0010473623,"about_ca_topic_score_gemma":0.000025843381,"teacher_disagreement_score":0.5808229,"about_ca_system_score_codex":0.0009018814,"about_ca_system_score_gemma":0.000121717916,"threshold_uncertainty_score":0.9998713},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02663795,0.000029224117,0.97129357,0.00021816329,0.00006168277,0.00091727957,0.000074999276,0.0001768922,0.000590215],"genre_scores_gemma":[0.97080785,4.1908658e-7,0.028470399,0.00003986323,0.000021929141,0.0005332898,0.00005572059,0.000051094154,0.000019444344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810874,0.000040230672,0.0006750044,0.00034582336,0.00045972754,0.0003704992],"domain_scores_gemma":[0.9983689,0.0011229832,0.00013842712,0.00021669662,0.000052330248,0.00010067234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003881371,0.00025217916,0.0003168634,0.00012909263,0.00024268284,0.00006010839,0.00019452725,0.000082079474,0.00040877835],"category_scores_gemma":[0.0007485001,0.00027191202,0.000066386274,0.00048432514,0.000022078188,0.00011248822,0.000046386434,0.00043629628,0.0000055555174],"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":[0.000031693125,0.00028085778,0.000017652806,0.0010240552,0.000019993098,0.0000045703896,0.00092228205,0.9814572,0.0036957634,0.011766542,0.000035401397,0.0007439977],"study_design_scores_gemma":[0.0012070108,0.00007780896,0.0000024556336,0.00018292556,0.000030133971,0.000008973033,0.00017633554,0.9795745,0.0017036819,0.016705373,0.000033108678,0.00029768315],"about_ca_topic_score_codex":0.0000045523448,"about_ca_topic_score_gemma":0.0000024087665,"teacher_disagreement_score":0.9441699,"about_ca_system_score_codex":0.00023066833,"about_ca_system_score_gemma":0.00005653211,"threshold_uncertainty_score":0.9999733},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946067,0.0000057575267,0.0046161697,0.00022759532,0.000049243976,0.00035802528,0.000032152522,0.0000194324,0.00008497524],"genre_scores_gemma":[0.9998275,0.000006308744,0.00001458135,0.000017326654,0.000011375904,0.00004427564,0.000040132185,0.0000023745865,0.000036130692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990952,0.00004253951,0.0002962084,0.00015994042,0.0002485402,0.0001575577],"domain_scores_gemma":[0.99978215,0.00009488931,0.000034482393,0.000052636864,0.0000060062534,0.000029834122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025289415,0.00013554201,0.00026658102,0.00004300341,0.000032491207,0.000005640952,0.000095075615,0.000057831163,0.000105077466],"category_scores_gemma":[0.000010340825,0.000033450393,0.00007703126,0.00014276373,0.000008244952,0.0000329064,0.00001879071,0.00018701608,3.187139e-7],"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":[0.00007203763,0.0003976139,0.0006129384,0.00031108063,0.0000068939894,6.492773e-7,0.00016485272,0.9519472,0.045015756,0.0004309262,0.000004247254,0.0010357752],"study_design_scores_gemma":[0.00068320276,0.0010603282,0.011589282,0.00029990493,0.000008156732,0.0000015173606,0.000016085132,0.97289217,0.01130505,0.0019783247,0.000009105755,0.00015685995],"about_ca_topic_score_codex":0.000035413537,"about_ca_topic_score_gemma":0.000015913987,"teacher_disagreement_score":0.033710707,"about_ca_system_score_codex":0.000068409,"about_ca_system_score_gemma":0.0000023007287,"threshold_uncertainty_score":0.13640675},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9111049,0.0005078653,0.073808946,0.0016091844,0.00032753823,0.0006143711,0.000026463542,0.00027167055,0.011729023],"genre_scores_gemma":[0.9989435,0.000008454507,0.0007968087,0.00003451991,0.000040931067,0.000022734366,0.0000026909374,0.000011814744,0.00013855252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894536,0.000061765226,0.00024571718,0.00013331482,0.00039709234,0.00021678116],"domain_scores_gemma":[0.99954957,0.00018502273,0.000057401696,0.00012609622,0.000011827605,0.00007007353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063540635,0.00008092386,0.00015563519,0.00010549539,0.0001255655,0.000024041552,0.00021767191,0.00003722257,0.0006795683],"category_scores_gemma":[0.00075010845,0.00008502926,0.000035520967,0.00041224298,0.00003287522,0.00013884934,0.000066914035,0.00022064647,0.000012077118],"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":[0.000010808338,0.0003366308,0.01655297,0.00027266427,0.000028764109,0.00001210245,0.0908891,0.675043,0.00489154,0.21049218,0.0012514942,0.00021875824],"study_design_scores_gemma":[0.0035859046,0.0010714325,0.17709112,0.009264961,0.00014147912,0.000014863743,0.018286183,0.649675,0.0047417753,0.1018946,0.030783774,0.0034488908],"about_ca_topic_score_codex":0.00049605616,"about_ca_topic_score_gemma":0.000034114528,"teacher_disagreement_score":0.16053815,"about_ca_system_score_codex":0.00014582441,"about_ca_system_score_gemma":0.00003631365,"threshold_uncertainty_score":0.74407965},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010936138,0.000070450136,0.98735887,0.00001775374,0.0004688265,0.00047483807,0.0000053157646,0.00035628967,0.00031152176],"genre_scores_gemma":[0.9979684,0.0000013459183,0.0016308718,0.000017064922,0.00009451598,0.00019257831,0.000008277577,0.00005497716,0.000032015883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989773,0.000032835887,0.00034677764,0.00018775175,0.0001927315,0.00026260153],"domain_scores_gemma":[0.9996194,0.000104445935,0.000029079598,0.00017268909,0.000010728261,0.00006361361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004344251,0.00017328227,0.00022801443,0.00019828383,0.0000738018,0.00004850968,0.000075866585,0.000063257976,0.000042173793],"category_scores_gemma":[0.00004722513,0.00017764544,0.000043066277,0.00024514695,0.0000090233925,0.00006616353,0.00004400576,0.00045355147,0.0000019059052],"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":[0.0000031424736,0.000020314288,0.000006286919,0.000118790995,0.0000054535035,0.0000055692526,0.000043584463,0.9922305,0.00056963245,0.00020548228,0.00003223069,0.006759067],"study_design_scores_gemma":[0.0004773705,0.00009699654,0.000008463787,0.00007056243,0.000005291585,0.00002606792,0.000013695155,0.9982739,0.00019407379,0.00042105108,0.0002247024,0.0001878],"about_ca_topic_score_codex":0.00000398236,"about_ca_topic_score_gemma":2.1984098e-7,"teacher_disagreement_score":0.98703223,"about_ca_system_score_codex":0.00013441013,"about_ca_system_score_gemma":0.0000045054794,"threshold_uncertainty_score":0.7244171},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24233107,0.0000043709892,0.7569545,0.000048271555,0.00009718785,0.00018780367,0.0000026985713,0.00017972165,0.00019437306],"genre_scores_gemma":[0.9826305,0.0000025362194,0.017218655,0.000007017887,0.000010482677,0.000029531735,0.0000052443447,0.000015445125,0.00008056583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988477,0.000012729886,0.0004087312,0.00017702172,0.00026828953,0.0002854763],"domain_scores_gemma":[0.99944293,0.00015963808,0.000057108504,0.0002349031,0.000041111456,0.00006428009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040935955,0.000120722725,0.00022239664,0.0002834749,0.0000226751,0.000033913,0.00034045425,0.000075683645,0.000007354634],"category_scores_gemma":[0.000086963286,0.000114325194,0.00005336269,0.0010017748,0.000020313633,0.00016341072,0.0001637608,0.00014971217,0.000037759273],"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":[0.0000038432795,0.0002469612,0.0033630822,0.0014208681,0.000032696516,0.00002351818,0.004203266,0.9254653,0.009466308,0.05427609,0.000031965053,0.0014661028],"study_design_scores_gemma":[0.0001897134,0.00003490001,0.0010223134,0.00018399076,0.0000026205937,0.0000068019003,0.00001048007,0.990472,0.00017758652,0.0077707693,0.0000062373088,0.00012254178],"about_ca_topic_score_codex":0.000006114759,"about_ca_topic_score_gemma":0.000005344959,"teacher_disagreement_score":0.74029946,"about_ca_system_score_codex":0.00012537696,"about_ca_system_score_gemma":0.000048938935,"threshold_uncertainty_score":0.4662046},"labels":[],"label_agreement":null}]}