{"meta":{"query_hash":"1d0a1e171338","filters":{"venue":"Advances in Engineering Software"},"cohort_total":39,"direct_labels_cover":0,"predictions_cover":39,"exported":39,"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/1d0a1e171338","api":"https://metacan.xera.ac/api/v1/cohort?venue=Advances+in+Engineering+Software"},"results":[{"id":"W1968594682","doi":"10.1016/j.advengsoft.2014.05.002","title":"Wind flow simulations on idealized and real complex terrain using various turbulence models","year":2014,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":68,"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":"","keywords":"Turbulence; Reynolds-averaged Navier–Stokes equations; K-epsilon turbulence model; Turbulence modeling; Computational fluid dynamics; Reynolds stress equation model; Wake; K-omega turbulence model; Terrain; Mechanics; Turbulence kinetic energy; Meteorology; Mixing (physics); Scale (ratio); Physics; Geography","score_opus":0.01171729779222524,"score_gpt":0.2397025001762267,"score_spread":0.22798520238400147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968594682","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":[0.6306373,0.00026155525,0.36782402,0.000053404812,0.00017784988,0.00018463521,0.000023803632,0.00018150518,0.0006559776],"genre_scores_gemma":[0.94307315,0.00007434528,0.056721173,0.00005869509,0.000036129757,0.0000030789242,0.0000044113503,0.000014849761,0.000014169347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992412,0.000014782161,0.00014011051,0.00024328861,0.00013773944,0.00022289218],"domain_scores_gemma":[0.9996283,0.00015978703,0.000026754846,0.00013481587,0.0000034223256,0.000046904308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073665906,0.00013985948,0.00015374606,0.0000383879,0.00009582349,0.000014278292,0.00009319501,0.00003391245,0.000026486721],"category_scores_gemma":[0.00008056482,0.00013365444,0.000018901632,0.0001296666,0.00006175535,0.00029546773,0.00008391169,0.00009099855,0.0000044023504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003666357,0.000012161997,0.006276775,0.00001547684,0.0000021452106,0.0000017931578,0.0003414291,0.9852033,0.00024917434,0.00009237628,0.0000063464386,0.007795347],"study_design_scores_gemma":[0.0002651285,0.000031869182,0.014764514,0.00007126476,0.000003944922,0.0000022676998,0.000012769269,0.9814035,0.000017643699,0.0017129554,0.0015347772,0.00017935045],"about_ca_topic_score_codex":0.000089135574,"about_ca_topic_score_gemma":0.00006713036,"teacher_disagreement_score":0.3124359,"about_ca_system_score_codex":0.000069816546,"about_ca_system_score_gemma":0.0000019386805,"threshold_uncertainty_score":0.54502696},"labels":[],"label_agreement":null},{"id":"W1973764083","doi":"10.1016/s0965-9978(99)00039-3","title":"Estimation of toxic contaminant mean concentrations from stormwater quality data","year":2000,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Urban Stormwater Management Solutions","field":"Environmental 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":"McMaster University","funders":"","keywords":"Surface runoff; Environmental science; Stormwater; Estimation; Data file; Pollutant; Water quality; Storm; Pollution; Hydrology (agriculture); Computer science; Database; Engineering; Meteorology; Chemistry","score_opus":0.013804755029953347,"score_gpt":0.2547917806209516,"score_spread":0.24098702559099824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973764083","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":[0.7179308,0.0004967796,0.28030246,0.0000373543,0.00018762978,0.00024849662,0.00021659346,0.0001423326,0.00043756305],"genre_scores_gemma":[0.9658938,0.000090842215,0.03355835,0.000018957755,0.000013994387,0.000015241022,0.00022036536,0.000011113434,0.00017734163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990341,0.000021513424,0.00028787492,0.00027418553,0.00019274275,0.00018959792],"domain_scores_gemma":[0.9992906,0.00008402882,0.000049677903,0.0005359239,0.0000030253204,0.000036750862],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013838733,0.00010864323,0.00013957913,0.000026540867,0.000035680932,0.0000097888105,0.00035842188,0.000031520674,0.0011220182],"category_scores_gemma":[0.000060350914,0.00010934037,0.000018418728,0.00015907994,0.00006698812,0.0010442121,0.000115948125,0.00007545506,0.00009310865],"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":[0.0000072630532,0.00005938871,0.060527265,0.000023369916,0.000009008929,0.0000026088228,0.0005408149,0.8931877,0.00043669922,0.00009596297,0.00014516489,0.044964742],"study_design_scores_gemma":[0.0012321727,0.000070639995,0.57884645,0.00020153304,0.000058293535,0.0000018855256,0.00013249698,0.33668017,0.002671561,0.00090510905,0.078411035,0.000788639],"about_ca_topic_score_codex":0.0005550364,"about_ca_topic_score_gemma":0.000640311,"teacher_disagreement_score":0.5565075,"about_ca_system_score_codex":0.00013399441,"about_ca_system_score_gemma":0.0000038600415,"threshold_uncertainty_score":0.9997911},"labels":[],"label_agreement":null},{"id":"W1976295841","doi":"10.1016/j.advengsoft.2007.02.003","title":"A comparison of automation techniques for optimization of compressor scheduling","year":2007,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Compressor station; Gas compressor; Pipeline (software); Scheduling (production processes); Selection (genetic algorithm); Pipeline transport; Integer programming; Computer science; Natural gas; Decision support system; Task (project management); Operations research; Engineering; Systems engineering; Data mining; Machine learning; Operations management; Algorithm; Operating system","score_opus":0.015317812182944132,"score_gpt":0.33518029749883455,"score_spread":0.3198624853158904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976295841","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":[0.02402805,0.0024963426,0.9724469,0.0000012066961,0.00026785984,0.00022143821,0.000007678956,0.00048933376,0.000041159863],"genre_scores_gemma":[0.46194214,0.000056853867,0.53793496,3.9574235e-7,0.000018350353,0.000014270957,0.0000103158745,0.000021060745,0.0000016298616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990784,0.000006174335,0.00051785744,0.00009981685,0.00012188319,0.00017589198],"domain_scores_gemma":[0.9993184,0.00035189837,0.00007275615,0.00014491862,0.000083364284,0.000028641387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035377886,0.00012434709,0.00029268884,0.00028735204,0.000011163201,0.0000044494464,0.000112533555,0.00008981727,0.000002723382],"category_scores_gemma":[0.0003303613,0.00014385095,0.00004964643,0.00031363335,0.000013619353,0.00023389819,0.000010776068,0.000097633485,8.910434e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009720031,0.000015153975,0.0027810966,0.0011904923,0.000008044252,1.6054558e-7,0.00013333916,0.98316926,0.0018533774,0.00015017712,0.0000019315373,0.010687277],"study_design_scores_gemma":[0.00023114508,0.000030287261,0.00045506668,0.0002420692,0.000005315118,3.724907e-7,0.000020393054,0.93293804,0.065347835,0.000045508743,0.00056188606,0.000122062556],"about_ca_topic_score_codex":0.0000011544342,"about_ca_topic_score_gemma":0.0000012063899,"teacher_disagreement_score":0.4379141,"about_ca_system_score_codex":0.00004493349,"about_ca_system_score_gemma":0.0000047844046,"threshold_uncertainty_score":0.58660716},"labels":[],"label_agreement":null},{"id":"W1979694973","doi":"10.1016/j.advengsoft.2011.03.014","title":"An enhanced GA technique for system training and prognostics","year":2011,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"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":"Crossover; Benchmark (surveying); Convergence (economics); Operator (biology); Genetic algorithm; Computer science; Prognostics; Algorithm; Mutation; Mathematical optimization; Artificial intelligence; Machine learning; Data mining; Mathematics","score_opus":0.0176929651878091,"score_gpt":0.23947017889167677,"score_spread":0.22177721370386766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979694973","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":[0.0082569355,0.002328315,0.9864718,5.717557e-7,0.00023719962,0.00060894276,0.000008829496,0.0018808136,0.0002066119],"genre_scores_gemma":[0.62182707,0.00017281696,0.37725773,0.0000035766504,0.000033689237,0.000653818,0.0000050626695,0.000044643373,0.0000016133503],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914074,0.000007200437,0.00022675018,0.00021535903,0.0000699273,0.00034001135],"domain_scores_gemma":[0.9996187,0.000073948846,0.000027736989,0.00017393845,0.00003689045,0.00006880071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020332869,0.0002046941,0.00024416164,0.00016774882,0.000029084416,0.000006818377,0.00013033822,0.000119013836,0.0000013076317],"category_scores_gemma":[0.00010977101,0.00022348405,0.000026886546,0.00013597804,0.000026676444,0.0004077442,0.000010705811,0.00015950529,3.0015732e-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":[0.00016805447,0.00021153477,0.016945105,0.009950153,0.00015205178,0.00007448833,0.008068855,0.2516579,0.36849147,0.018142499,0.00003181474,0.32610607],"study_design_scores_gemma":[0.0016274545,0.0010347153,0.0022688534,0.0018785704,0.00008120235,0.00007016063,0.0008251822,0.033333402,0.94527483,0.0038542408,0.0078338925,0.0019174973],"about_ca_topic_score_codex":7.1559583e-7,"about_ca_topic_score_gemma":0.000003941143,"teacher_disagreement_score":0.6135701,"about_ca_system_score_codex":0.00006774624,"about_ca_system_score_gemma":0.000007011292,"threshold_uncertainty_score":0.91134155},"labels":[],"label_agreement":null},{"id":"W1983398819","doi":"10.1016/s0965-9978(02)00022-4","title":"Design of a software application for the simulation and control of continuous and batch crystallizer circuits","year":2002,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Freezing and Crystallization Processes","field":"Engineering","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":"Western University","funders":"","keywords":"Software; Electronic circuit; Computer science; Control software; Control (management); Control engineering; Engineering; Operating system; Electrical engineering","score_opus":0.008426135971492107,"score_gpt":0.2114502833172044,"score_spread":0.20302414734571228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983398819","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":[0.0048650266,0.024595482,0.969975,0.000005703368,0.000043259744,0.00037236683,0.000016765847,0.00012378606,0.0000025872782],"genre_scores_gemma":[0.988621,0.0011100614,0.010110809,0.0000055418527,0.000014433453,0.00010415907,0.000002981628,0.000025461653,0.0000055651126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994678,0.0000057570082,0.00022216176,0.00011217629,0.00007736636,0.00011476455],"domain_scores_gemma":[0.99884784,0.0009033858,0.00005157791,0.00010674184,0.00007062615,0.000019818252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009208966,0.000106825246,0.00017605255,0.000059720165,0.000022806156,0.000008011838,0.000067325105,0.000050673778,0.000002461318],"category_scores_gemma":[0.00028461052,0.00009676017,0.000015312935,0.00014189047,0.000033956094,0.00017298348,0.000006862094,0.000051593906,9.137291e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041227154,0.000007524869,0.0012648229,0.000696317,0.000013232598,1.1910076e-7,0.00025293595,0.96097857,0.0013832857,0.000071481634,0.0000022513036,0.035325315],"study_design_scores_gemma":[0.0005524475,0.000036379093,0.0003926708,0.00010954175,0.000020573138,0.0000015949544,0.000034998728,0.9967921,0.00061410246,0.0002484037,0.0010844548,0.000112752234],"about_ca_topic_score_codex":0.0000013339906,"about_ca_topic_score_gemma":0.0000013244927,"teacher_disagreement_score":0.98375595,"about_ca_system_score_codex":0.000011619746,"about_ca_system_score_gemma":0.0000028935879,"threshold_uncertainty_score":0.39457655},"labels":[],"label_agreement":null},{"id":"W2004906124","doi":"10.1016/j.advengsoft.2013.03.001","title":"A survey of non-gradient optimization methods in structural engineering","year":2013,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":192,"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 British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Heuristic; Computer science; Mathematical optimization; Convergence (economics); Engineering optimization; Optimization problem; Algorithm; Mathematics","score_opus":0.021122435204401248,"score_gpt":0.3640855014981272,"score_spread":0.3429630662937259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004906124","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":[0.013413136,0.0007052703,0.98511314,0.0000056318536,0.00018919223,0.00044106957,0.000009321658,0.00010730236,0.000015931435],"genre_scores_gemma":[0.07401407,0.0001297735,0.9256344,0.0000027868482,0.000013507715,0.00011091396,0.00001926106,0.00005637379,0.000018954253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985003,0.00006367264,0.000550528,0.00026605892,0.00022946362,0.00039001528],"domain_scores_gemma":[0.9980658,0.0012772765,0.0001045981,0.0002899539,0.00019037974,0.00007196457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000479937,0.00021190061,0.00038150855,0.00046246062,0.00001569296,0.00001716701,0.00024284008,0.00009011872,0.000067834786],"category_scores_gemma":[0.004425834,0.00022106449,0.000036446752,0.0010925577,0.00002516186,0.0006576302,0.00008331698,0.00028318926,0.0000017821192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036921099,0.000018709343,0.006247879,0.00024816897,0.000006205677,0.000002120306,0.00015913318,0.9840254,0.00007748493,0.0001288275,0.0000020616228,0.009080272],"study_design_scores_gemma":[0.00039347826,0.000023672681,0.021308413,0.00016423213,0.0000019382799,0.0000022667643,0.000020565534,0.97701657,0.00041858276,0.00042252307,0.000015806474,0.00021198283],"about_ca_topic_score_codex":0.00008788654,"about_ca_topic_score_gemma":0.00003580806,"teacher_disagreement_score":0.060600933,"about_ca_system_score_codex":0.00016732287,"about_ca_system_score_gemma":0.000025329251,"threshold_uncertainty_score":0.9014748},"labels":[],"label_agreement":null},{"id":"W2011686760","doi":"10.1016/s0965-9978(03)00040-1","title":"Computer aided stability analysis of gravity dams—CADAM","year":2003,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"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":"Gravity dam; Stability (learning theory); Structural engineering; Monte Carlo method; Probabilistic logic; Engineering; Beam (structure); Cracking; Geotechnical engineering; Computer science; Finite element method; Mathematics; Materials science; Statistics","score_opus":0.005063869016109286,"score_gpt":0.21639053893671825,"score_spread":0.21132666992060897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011686760","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":[0.25625908,0.0022722932,0.7398769,0.0000017292647,0.00063532096,0.000110794055,0.0000465792,0.00061890605,0.00017836703],"genre_scores_gemma":[0.94535226,0.00023527439,0.05429672,0.000004785059,0.000022588516,0.000018918683,0.000023397117,0.000041268533,0.000004811788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868876,0.000021217218,0.00044961862,0.00026727613,0.0001972654,0.0003758819],"domain_scores_gemma":[0.9991494,0.00023294051,0.000033169814,0.0004537356,0.000042342333,0.00008842385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026706248,0.00026343515,0.00054208963,0.00039106846,0.000017565762,0.0000106494,0.00019272484,0.000098138844,0.00003345734],"category_scores_gemma":[0.00016699031,0.00029125946,0.00016194349,0.0014592028,0.000028804434,0.00027391958,0.000022433433,0.000256195,0.0000030922292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024708672,0.000025754554,0.021128967,0.00026409142,0.00014251487,0.000004512243,0.0001156413,0.97471374,0.00024286177,0.0006472515,0.000007289672,0.0027048723],"study_design_scores_gemma":[0.00078171794,0.00006603729,0.106007144,0.00018514217,0.00028313312,0.000005654554,0.000044788645,0.8715612,0.0062791086,0.00031240136,0.013381758,0.001091913],"about_ca_topic_score_codex":0.0000075269822,"about_ca_topic_score_gemma":0.000028211984,"teacher_disagreement_score":0.6890932,"about_ca_system_score_codex":0.00011903258,"about_ca_system_score_gemma":0.0000123291975,"threshold_uncertainty_score":0.9999539},"labels":[],"label_agreement":null},{"id":"W2017993165","doi":"10.1016/j.advengsoft.2009.07.003","title":"Horizontal dispersion of software functional size with IFPUG and COSMIC units","year":2009,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Software Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Function point; Software; Standardization; Computer science; Variable (mathematics); Dispersion (optics); Software development; Function (biology); Observational error; Software metric; Reliability engineering; Software quality; Statistics; Mathematics; Engineering; Physics; Programming language; Optics","score_opus":0.005946882834828772,"score_gpt":0.21380460932094097,"score_spread":0.2078577264861122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017993165","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":[0.18064582,0.0029105733,0.81553966,0.000053089447,0.00021334633,0.00015105832,0.0000066630605,0.0004720149,0.000007800892],"genre_scores_gemma":[0.8345019,0.0001934252,0.16519026,0.000020392736,0.000036471225,0.000013347634,0.0000050436915,0.000019901614,0.00001920152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985426,0.0000145820395,0.0002200325,0.0004112038,0.00042355395,0.0003880117],"domain_scores_gemma":[0.9982429,0.0010887592,0.000048171794,0.000380844,0.00012214806,0.00011717732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001511781,0.00022785558,0.00025408907,0.00022701857,0.000045217614,0.000037108945,0.0004145986,0.00007141924,0.0000046907003],"category_scores_gemma":[0.0013307199,0.00021163783,0.000027296024,0.0010465805,0.000049156348,0.0009136487,0.000107909524,0.00029044447,0.000002238158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001571516,0.00021919356,0.23529182,0.0007109698,0.00005414704,0.00021710136,0.0009135836,0.45360124,0.0019558864,0.0055292947,0.00016211963,0.3011875],"study_design_scores_gemma":[0.0043258476,0.002479833,0.93468666,0.0019348974,0.000025628377,0.00041112586,0.00009963574,0.03871787,0.007615704,0.00197725,0.0057366537,0.0019888997],"about_ca_topic_score_codex":0.0000055008945,"about_ca_topic_score_gemma":0.000004323363,"teacher_disagreement_score":0.6993948,"about_ca_system_score_codex":0.00009414493,"about_ca_system_score_gemma":0.000064323394,"threshold_uncertainty_score":0.86303407},"labels":[],"label_agreement":null},{"id":"W2046023406","doi":"10.1016/j.advengsoft.2010.05.010","title":"A hybrid scatter search approach for resource-constrained project scheduling problem in PERT-type networks","year":2010,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":28,"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 British Columbia","funders":"","keywords":"Metaheuristic; Job shop scheduling; Mathematical optimization; Computer science; Crossover; Scheduling (production processes); Critical path method; Local search (optimization); Benchmark (surveying); Algorithm; Mathematics; Artificial intelligence; Engineering; Schedule","score_opus":0.03298794965464718,"score_gpt":0.3305595728414295,"score_spread":0.2975716231867823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046023406","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":[0.21399501,0.0010628252,0.7814372,0.000111539215,0.00049708626,0.0018823335,0.000023032175,0.00032182477,0.00066913216],"genre_scores_gemma":[0.5038078,0.000020817231,0.49548072,0.0000593072,0.00023365757,0.00023490554,0.000029211184,0.000066617584,0.000066947265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951837,0.00012935142,0.0012185689,0.0012840492,0.0009494355,0.0012349179],"domain_scores_gemma":[0.9955403,0.0029499347,0.00019434822,0.0008733162,0.0002759367,0.00016615383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0047197146,0.00048422345,0.00070431456,0.0013306909,0.00014643057,0.00032228217,0.0013710543,0.00026419866,0.000039399758],"category_scores_gemma":[0.006998823,0.00043203824,0.0001904966,0.0021045867,0.00022057134,0.00086872635,0.00023151866,0.00158371,0.000009153653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103147664,0.000072040035,0.022033416,0.00012666466,0.000011400585,0.000021097578,0.0007937956,0.9067589,0.00049832504,0.00028958364,0.000025955944,0.06926565],"study_design_scores_gemma":[0.0014857618,0.00012151926,0.00071200397,0.00023573935,0.000009425165,0.00011907893,0.0008999451,0.9852714,0.00044839887,0.0007685466,0.009157256,0.00077093334],"about_ca_topic_score_codex":0.00002253497,"about_ca_topic_score_gemma":0.000031806754,"teacher_disagreement_score":0.2898128,"about_ca_system_score_codex":0.00010518799,"about_ca_system_score_gemma":0.00023361776,"threshold_uncertainty_score":0.99981314},"labels":[],"label_agreement":null},{"id":"W2048875739","doi":"10.1016/j.advengsoft.2006.08.004","title":"Bayesian neural networks for prediction of equilibrium and time-dependent scour depth around bridge piers","year":2006,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":86,"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":"Pier; Geotechnical engineering; Flow (mathematics); Geology; Engineering; Mathematics; Structural engineering; Geometry","score_opus":0.003962021247495135,"score_gpt":0.19923988147754376,"score_spread":0.19527786023004862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048875739","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":[0.45455146,0.0017651413,0.5430353,0.000018627616,0.0001797837,0.00021815162,0.000028111772,0.000102788705,0.00010063353],"genre_scores_gemma":[0.99683255,0.000055659402,0.0029251284,0.00001528144,0.000058637994,0.000026807165,0.00003523647,0.0000150366395,0.00003565577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992799,0.0000055139026,0.0001883765,0.00020841761,0.00009624811,0.00022154776],"domain_scores_gemma":[0.99976635,0.000073191004,0.000040411524,0.00008277314,0.000004152996,0.00003313704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009796226,0.000111958965,0.00013333876,0.000033221462,0.000024400935,0.000005805099,0.00008719851,0.000066244094,0.000022890777],"category_scores_gemma":[0.000018437755,0.00011662331,0.000023859748,0.00010194786,0.00007137938,0.00041081457,0.000020255691,0.00008490571,9.3362394e-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":[0.00001630927,0.000016643658,0.24091282,0.000047922924,0.0000026471862,0.0000022724626,0.000018003522,0.7558814,0.00025869597,0.0000063327802,0.000009403739,0.002827518],"study_design_scores_gemma":[0.00068457023,0.00014474767,0.16012429,0.000051031544,0.000023427427,0.000010880062,0.0000061689207,0.8366527,0.00073454296,0.00050498004,0.00085683394,0.00020585084],"about_ca_topic_score_codex":0.000023224484,"about_ca_topic_score_gemma":0.000046895777,"teacher_disagreement_score":0.5422811,"about_ca_system_score_codex":0.000030843297,"about_ca_system_score_gemma":0.000002720132,"threshold_uncertainty_score":0.47557607},"labels":[],"label_agreement":null},{"id":"W2050889957","doi":"10.1016/j.advengsoft.2009.01.024","title":"A methodology for designing information security feedback based on User Interface Patterns","year":2009,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Universidad Autónoma de Aguascalientes; University of Ontario Institute of Technology","keywords":"Computer science; Human–computer interaction; Human-computer interaction in information security; User interface; User interface design; Set (abstract data type); Interface (matter); Interface design; Information security; Computer security; User experience design; Security service; Software security assurance; Operating system","score_opus":0.019384604917132064,"score_gpt":0.28420267219334616,"score_spread":0.2648180672762141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050889957","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":[0.0076816645,0.00010514772,0.9909232,0.00025573632,0.00040074834,0.00028701837,0.000008178695,0.00032160585,0.000016651988],"genre_scores_gemma":[0.56242,0.000006874278,0.43720156,0.00031028828,0.000015375446,0.000034548033,0.0000036404322,0.0000052220053,0.0000025115992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894625,0.000062187566,0.00028313635,0.00026046706,0.00013424973,0.0003137021],"domain_scores_gemma":[0.99852365,0.0009296815,0.0000668676,0.00036431555,0.0000653676,0.000050136307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051143597,0.00017674586,0.00020344429,0.00018447607,0.00003785823,0.0000728224,0.0005372575,0.00008660856,0.0000038544995],"category_scores_gemma":[0.00077678397,0.00018140295,0.00005870181,0.00023763638,0.0000101865735,0.001691747,0.000035824836,0.00020479747,0.00000792713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052219068,0.00005285771,0.0011180345,0.00016965259,0.0000041463213,0.0000013996115,0.001341077,0.9505435,0.00013800728,0.002569669,0.000048188755,0.04396121],"study_design_scores_gemma":[0.0012956373,0.0009864027,0.004540754,0.00050972606,0.0000070956885,0.000005062203,0.00007154246,0.9362897,0.03644802,0.0077275983,0.011471838,0.00064660795],"about_ca_topic_score_codex":0.000003428381,"about_ca_topic_score_gemma":0.0000043785403,"teacher_disagreement_score":0.55473834,"about_ca_system_score_codex":0.000098353186,"about_ca_system_score_gemma":0.000021700158,"threshold_uncertainty_score":0.7397398},"labels":[],"label_agreement":null},{"id":"W2074614421","doi":"10.1016/j.advengsoft.2009.03.013","title":"On the potential applications of a 3D random finite element model for the simulation of shot peening","year":2009,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":210,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; National Research Council Canada","funders":"","keywords":"Shot peening; Peening; Finite element method; Process (computing); Materials science; Structural engineering; Shot (pellet); Solver; Computer science; Mechanics; Residual stress; Engineering; Metallurgy","score_opus":0.010141824464959205,"score_gpt":0.2504759473690787,"score_spread":0.24033412290411948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074614421","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":[0.014670507,0.0024331075,0.9822317,0.000023042372,0.000051402978,0.00047598567,0.000023563889,0.00006835324,0.000022364793],"genre_scores_gemma":[0.9913029,0.00023578237,0.008282698,0.000005451982,0.000020184436,0.00011997968,0.000009321429,0.000012595071,0.000011090819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995079,0.0000040781465,0.00018497417,0.000075649594,0.00010802982,0.000119379554],"domain_scores_gemma":[0.99885094,0.0009321668,0.000034035525,0.00014706921,0.000025111089,0.000010672375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007735195,0.00009891239,0.00012018653,0.000044435914,0.000034630597,0.0000048868023,0.00011317498,0.000028297161,0.0000036842857],"category_scores_gemma":[0.000058191123,0.0000630738,0.000049065522,0.000121889854,0.00001210115,0.000062149586,0.0000063205775,0.00006573017,2.5979026e-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":[0.000026865413,0.000015662687,0.00004699339,0.000045918583,0.000017626999,1.05760385e-7,0.00014348819,0.98402053,0.00012041274,0.0002532976,0.0000025632364,0.015306516],"study_design_scores_gemma":[0.0005141283,0.000027057205,0.00013385965,0.00005710305,0.000019455758,8.1600035e-8,0.000023569586,0.99746984,0.0010466542,0.0005101917,0.00013322802,0.00006483767],"about_ca_topic_score_codex":9.651332e-7,"about_ca_topic_score_gemma":0.0000023478551,"teacher_disagreement_score":0.9766324,"about_ca_system_score_codex":0.000020655334,"about_ca_system_score_gemma":0.000003659485,"threshold_uncertainty_score":0.25720748},"labels":[],"label_agreement":null},{"id":"W2074953358","doi":"10.1016/j.advengsoft.2010.05.002","title":"Bezier-PARSEC: An optimized aerofoil parameterization for design","year":2010,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Mennonite University; University of Manitoba","funders":"","keywords":"Airfoil; Parsec; Bézier curve; Convergence (economics); Aerodynamics; Computer science; Degrees of freedom (physics and chemistry); Mathematical optimization; Range (aeronautics); Applied mathematics; Algorithm; Mathematics; Geometry; Physics; Aerospace engineering; Mechanics; Engineering","score_opus":0.007858259523017996,"score_gpt":0.25062016894179245,"score_spread":0.24276190941877446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074953358","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":[0.011610114,0.00048102633,0.9851775,0.0000060931343,0.00040096295,0.00035280915,0.000012733364,0.001943452,0.000015302645],"genre_scores_gemma":[0.22149967,0.00024883062,0.7776573,0.000014976635,0.00007592958,0.000366179,0.0000429152,0.00008539156,0.000008815438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988489,0.000011774766,0.000329194,0.00029734423,0.00012517998,0.00038756622],"domain_scores_gemma":[0.9991735,0.0002863027,0.000040390732,0.00034914844,0.000049609862,0.00010101058],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015487567,0.00026535077,0.0003276778,0.00019452862,0.000037583555,0.000029555753,0.00026675488,0.0001390024,0.000015745305],"category_scores_gemma":[0.00039248995,0.00028579056,0.00007365432,0.0003994953,0.00002941143,0.00087771245,0.000019923806,0.0003030686,0.000003136193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013575943,0.000019970963,0.00011089174,0.00007849626,0.000010283329,0.0000021003902,0.0000377678,0.9496232,0.013198442,0.00015508098,0.00000994807,0.036740195],"study_design_scores_gemma":[0.00049861684,0.000094781346,0.00010787501,0.000052589014,0.000021400308,0.000004880484,0.000009359689,0.95849127,0.029349614,0.0022601085,0.008544611,0.00056491455],"about_ca_topic_score_codex":0.0000015590217,"about_ca_topic_score_gemma":0.0000074529835,"teacher_disagreement_score":0.20988955,"about_ca_system_score_codex":0.000055953686,"about_ca_system_score_gemma":0.0000075096473,"threshold_uncertainty_score":0.9999594},"labels":[],"label_agreement":null},{"id":"W2083241532","doi":"10.1016/j.advengsoft.2010.02.004","title":"A mesh-geometry based method for coupling 1D and 3D elements","year":2010,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Degrees of freedom (physics and chemistry); Representation (politics); Coupling (piping); Boundary (topology); Constraint (computer-aided design); Geometry; Series (stratigraphy); Complex geometry; Computer science; Boundary value problem; Mathematics; Topology (electrical circuits); Applied mathematics; Mathematical optimization; Mathematical analysis; Structural engineering; Mechanical engineering; Engineering; Physics","score_opus":0.005813855617587656,"score_gpt":0.27111267568411274,"score_spread":0.26529882006652505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083241532","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":[0.011083656,0.00061281904,0.98729265,0.00004726112,0.00066529267,0.00015474488,0.0000049216956,0.00013310865,0.0000055273454],"genre_scores_gemma":[0.12108354,0.000018173703,0.87867594,0.00006854339,0.00006782956,0.00005515087,0.000010216804,0.000008430075,0.000012203341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992493,0.000004646983,0.00017124419,0.00026574414,0.00012532312,0.00018374136],"domain_scores_gemma":[0.9992088,0.00048590833,0.00004109334,0.00015980088,0.000055222325,0.000049186623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034774884,0.00010530205,0.00011180114,0.00021076258,0.000053123742,0.000050085622,0.00019394685,0.00004282814,0.0000032466196],"category_scores_gemma":[0.00036349535,0.000113273876,0.00002402603,0.00039218392,0.0000071504564,0.0004659712,0.000049876653,0.00012455825,7.9032293e-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":[0.0000037153814,0.000019642366,0.0015075221,0.00010108607,0.000004669705,0.0000016945766,0.000039256287,0.8148458,0.0018548428,0.0065594153,0.000009239686,0.17505315],"study_design_scores_gemma":[0.00035172806,0.000030529452,0.0008373398,0.000023166947,0.000002470539,0.0000032914693,0.0000018396746,0.9831109,0.002013299,0.00085999427,0.012626704,0.00013873843],"about_ca_topic_score_codex":0.0000011286785,"about_ca_topic_score_gemma":0.0000059479066,"teacher_disagreement_score":0.1749144,"about_ca_system_score_codex":0.000016186037,"about_ca_system_score_gemma":0.000026074302,"threshold_uncertainty_score":0.46191746},"labels":[],"label_agreement":null},{"id":"W2085306295","doi":"10.1016/j.advengsoft.2012.06.006","title":"Potential applications of peen forming finite element modelling","year":2012,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"","keywords":"Component (thermodynamics); Finite element method; Process (computing); Aerospace; Curvature; Wing; Peening; Mechanical engineering; Forming processes; Structural engineering; Computer science; Engineering; Sheet metal; Aerospace engineering; Residual stress; Materials science","score_opus":0.005931089687098241,"score_gpt":0.21784331113998634,"score_spread":0.2119122214528881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085306295","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":[0.05011726,0.01669322,0.9323689,0.0000020793216,0.00023025149,0.00017455964,0.000015089523,0.00025490831,0.0001437804],"genre_scores_gemma":[0.9493258,0.001079182,0.04935444,0.000001173681,0.00008187711,0.00008778636,0.000019036592,0.00003091498,0.00001978508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992858,0.0000030228189,0.00020585605,0.000085873224,0.00011782197,0.00030161525],"domain_scores_gemma":[0.9996989,0.00008060704,0.000023242897,0.0001315937,0.000014510601,0.000051151965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005567951,0.00013584187,0.00014571275,0.00010115425,0.000021793072,0.000005139758,0.00009540234,0.000046872876,0.000013577814],"category_scores_gemma":[0.000007801901,0.00013668911,0.00004154351,0.00018083598,0.000009818854,0.00034243788,0.000020293408,0.00009452608,0.000005624055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015704233,0.000020413721,0.007624574,0.00016761495,0.000014925601,6.994189e-7,0.00015011024,0.9794732,0.00007844382,0.000092121896,0.0000021686542,0.012374168],"study_design_scores_gemma":[0.00081745547,0.000034865177,0.0016463414,0.00029293465,0.000058053185,0.000005159952,0.00023075771,0.9569102,0.016182797,0.0002848355,0.022839248,0.0006973894],"about_ca_topic_score_codex":0.0000050367594,"about_ca_topic_score_gemma":0.0000022344182,"teacher_disagreement_score":0.89920855,"about_ca_system_score_codex":0.00005296413,"about_ca_system_score_gemma":0.0000029460762,"threshold_uncertainty_score":0.557402},"labels":[],"label_agreement":null},{"id":"W2085662310","doi":"10.1016/s0965-9978(00)00038-7","title":"On multikey sorting","year":2000,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Algorithms and Data Compression","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":"Athabasca University; University of New Brunswick","funders":"","keywords":"Computer science","score_opus":0.003940293042391474,"score_gpt":0.2237701916555714,"score_spread":0.21982989861317995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085662310","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":[0.0117805265,0.001087425,0.9859559,0.000022405868,0.0003090411,0.000060296647,0.0000023283108,0.00042926107,0.00035282734],"genre_scores_gemma":[0.39326835,0.0003505923,0.60592145,0.00015552777,0.00008940001,0.000025688367,0.0000067566943,0.000021006439,0.0001612289],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992273,0.000006869816,0.0001447175,0.00025619345,0.00013998276,0.00022497066],"domain_scores_gemma":[0.9994547,0.0001344733,0.000021084285,0.0003370076,0.000009335488,0.000043433003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006641456,0.000106911895,0.00009876796,0.00006602522,0.00003898307,0.000035045643,0.0004305736,0.000031228272,0.000033870092],"category_scores_gemma":[0.00008598427,0.00009947721,0.000023059485,0.0002165005,0.000006724846,0.00079168763,0.000061146304,0.0001383235,0.000054831115],"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":[0.0000018148178,0.000017474078,0.000271141,0.0000133089325,8.6449114e-7,0.000017709695,0.00006903071,0.4631168,0.000013198832,0.002229721,0.000026476026,0.5342225],"study_design_scores_gemma":[0.0005039088,0.00007618176,0.003033679,0.00037556892,0.0000011102344,0.000011790656,0.00000442379,0.9373483,0.0004709047,0.0038140134,0.053930797,0.000429306],"about_ca_topic_score_codex":0.0000050261883,"about_ca_topic_score_gemma":0.0000013468106,"teacher_disagreement_score":0.53379315,"about_ca_system_score_codex":0.000026965483,"about_ca_system_score_gemma":0.0000066071834,"threshold_uncertainty_score":0.4056563},"labels":[],"label_agreement":null},{"id":"W2086375592","doi":"10.1016/s0965-9978(02)00013-3","title":"Computer modeling and software development predicting dynamic mat formation in paper machine","year":2002,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Material Properties and Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"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":"Computer science; Software development; Software; Software engineering; Engineering drawing; Engineering; Programming language","score_opus":0.005658315266396031,"score_gpt":0.18204784728631923,"score_spread":0.1763895320199232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086375592","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":[0.33157766,0.016481156,0.6509401,0.000008904614,0.0002970155,0.000129827,0.000003999435,0.00053582026,0.000025468007],"genre_scores_gemma":[0.8871632,0.0011082299,0.111585185,0.000018042772,0.00003461955,0.000029061313,0.000012150736,0.0000436546,0.000005861023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907166,0.000006389295,0.00034927382,0.00016892115,0.00010417765,0.0002995872],"domain_scores_gemma":[0.9998012,0.000032537995,0.000020950412,0.00009080366,0.000013217258,0.000041298772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008288114,0.0001965884,0.00018817927,0.00014365373,0.000045288318,0.000049922943,0.00008907048,0.000069319736,0.000018819945],"category_scores_gemma":[0.000024495128,0.00019944347,0.000013677556,0.00014066024,0.0000072686166,0.000986985,0.00004814999,0.0001835411,0.0000041308176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022535007,0.0000047894227,0.0009576167,0.0008632491,0.0000027831306,0.0000061350697,0.00079140725,0.85317665,0.00010250507,0.0000017815898,0.0000012427977,0.1440896],"study_design_scores_gemma":[0.00025609328,0.000008870245,0.0002698706,0.0005914795,0.0000018739865,0.000017193435,0.000022069424,0.99724734,0.00016452823,0.00003194543,0.0011453886,0.0002433686],"about_ca_topic_score_codex":0.0000059439294,"about_ca_topic_score_gemma":0.000049042974,"teacher_disagreement_score":0.5555855,"about_ca_system_score_codex":0.00011911875,"about_ca_system_score_gemma":0.0000021910507,"threshold_uncertainty_score":0.81330687},"labels":[],"label_agreement":null},{"id":"W2091040503","doi":"10.1016/j.advengsoft.2011.06.009","title":"A novel scheme for large deflection analysis of suspended cables made of linear or nonlinear elastic materials","year":2011,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"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":"Nonlinear system; Deflection (physics); Structural engineering; Computer science; Mechanics; Applied mathematics; Engineering; Mathematics; Physics; Classical mechanics","score_opus":0.0143894042073316,"score_gpt":0.2522530303819581,"score_spread":0.23786362617462653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091040503","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":[0.076334484,0.0002760416,0.9227522,7.486701e-7,0.00015413923,0.00011676474,0.00020607158,0.00013767026,0.000021864567],"genre_scores_gemma":[0.70137876,0.0001245052,0.29830092,0.0000026647429,0.000021925493,0.000030283169,0.00008288973,0.00002883825,0.000029212379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990722,0.0000052504915,0.00045947614,0.00015130553,0.00010464797,0.00020710721],"domain_scores_gemma":[0.9995289,0.00010842377,0.00008356654,0.00017403948,0.00007094575,0.00003414005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012009594,0.00015332685,0.00044949274,0.0005285067,0.000016816704,0.000004203162,0.000113822025,0.00008255632,0.00015335673],"category_scores_gemma":[0.00021359988,0.00014801671,0.0001140963,0.0009669471,0.000012474573,0.00021929578,0.000016745207,0.000059609,9.2486033e-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":[0.000051996474,0.00006294534,0.0022570577,0.00053141377,0.00040417933,9.40977e-7,0.0002695284,0.97450936,0.021341583,0.0003692682,0.0000015405019,0.00020018383],"study_design_scores_gemma":[0.0004828891,0.00004587368,0.0018382067,0.00007533118,0.00030454187,0.000001108343,0.000075539065,0.9642031,0.03261528,0.000027142776,0.00014707482,0.0001838965],"about_ca_topic_score_codex":0.000024453626,"about_ca_topic_score_gemma":0.00022951749,"teacher_disagreement_score":0.6250443,"about_ca_system_score_codex":0.00004023624,"about_ca_system_score_gemma":0.000013977764,"threshold_uncertainty_score":0.6035946},"labels":[],"label_agreement":null},{"id":"W2109757792","doi":"10.1016/j.advengsoft.2009.05.003","title":"A document driven methodology for developing a high quality Parallel Mesh Generation Toolbox","year":2009,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Traceability; Maintainability; Correctness; Toolbox; Documentation; Software quality; Software engineering; Reliability engineering; Software; Algorithm; Programming language; Software development; Engineering","score_opus":0.04369639153670694,"score_gpt":0.3270189545474013,"score_spread":0.28332256301069436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109757792","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":[0.0056832377,0.00092977245,0.9914736,0.00033602785,0.0009048802,0.00028641705,0.00000494923,0.0003692283,0.0000118848775],"genre_scores_gemma":[0.3685136,0.000032664615,0.6311276,0.00011986384,0.00011210606,0.000048946284,0.000024381594,0.00000593225,0.000014877139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985256,0.000095316194,0.0004247473,0.00042167483,0.00016045422,0.00037218948],"domain_scores_gemma":[0.99899304,0.00044988934,0.000111868,0.00032596756,0.0000730946,0.00004612301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006428637,0.00018544121,0.0003123124,0.00010438695,0.00006773405,0.00008228543,0.0005223899,0.00008004584,7.018031e-7],"category_scores_gemma":[0.0004032526,0.00019010353,0.00006339632,0.00030086475,0.000008487311,0.0005501591,0.000047239148,0.00010909024,0.000002675967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006521379,0.00001612028,0.00025589627,0.000082527265,0.000010621849,0.000005254525,0.00038061445,0.75409347,0.00032585824,0.21051978,0.0000736385,0.034229696],"study_design_scores_gemma":[0.0050689797,0.0008663633,0.023114549,0.000897587,0.000027576627,0.00008501665,0.00007396827,0.77457416,0.0045444216,0.10665147,0.08094122,0.0031546785],"about_ca_topic_score_codex":0.000011900381,"about_ca_topic_score_gemma":0.000011538932,"teacher_disagreement_score":0.36283037,"about_ca_system_score_codex":0.00013171487,"about_ca_system_score_gemma":0.000048231606,"threshold_uncertainty_score":0.77521974},"labels":[],"label_agreement":null},{"id":"W2161881828","doi":"10.1016/s0965-9978(01)00050-3","title":"QEST nD: n-dimensional extension and generalisation of a software performance measurement model","year":2002,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Software Engineering Research","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Dimension (graph theory); Viewpoints; Perspective (graphical); Computer science; Extension (predicate logic); Industrial engineering; Field (mathematics); Process (computing); Product (mathematics); Key (lock); Software; Engineering; Artificial intelligence; Mathematics","score_opus":0.0256490191154793,"score_gpt":0.23130710626097253,"score_spread":0.20565808714549325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161881828","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":[0.2099822,0.008017853,0.7812222,0.00003337842,0.00022614672,0.00015760456,0.0000031592892,0.00035282795,0.000004613924],"genre_scores_gemma":[0.70626545,0.00041531288,0.29320887,0.00001860173,0.000022456532,0.00003105947,0.0000017300653,0.000021498978,0.000015042219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981029,0.000016910315,0.00032301986,0.0004512799,0.0007280262,0.00037787698],"domain_scores_gemma":[0.9988924,0.00026532984,0.00006205304,0.0004880498,0.00019213694,0.00010000403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003798518,0.00021674659,0.00024028365,0.0003079265,0.000051651532,0.000028324966,0.0003928084,0.00007708925,0.000005160646],"category_scores_gemma":[0.0010811808,0.00022506961,0.000038218663,0.00046763767,0.000037999947,0.001009873,0.00018781445,0.00022721503,0.000004809258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032363412,0.000036685477,0.009336326,0.0002332376,0.0000056680306,0.000006622889,0.0002576596,0.95735246,0.00094021397,0.00014654,0.000037914702,0.031643454],"study_design_scores_gemma":[0.0003567322,0.00006609777,0.016293634,0.00029903336,0.0000030026492,0.000020709462,0.0000022547254,0.98095876,0.0014367533,0.00013273393,0.00017226709,0.00025800473],"about_ca_topic_score_codex":0.0000050243766,"about_ca_topic_score_gemma":0.0000022337117,"teacher_disagreement_score":0.49628323,"about_ca_system_score_codex":0.00014487476,"about_ca_system_score_gemma":0.000026319762,"threshold_uncertainty_score":0.9178072},"labels":[],"label_agreement":null},{"id":"W2309149177","doi":"10.1016/j.advengsoft.2016.01.021","title":"Seismic design and performance of multi-tiered steel braced frames including the contribution from gravity columns under in-plane seismic demand","year":2016,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Braced frame; Bracing; Structural engineering; Flexural strength; Seismic analysis; Engineering; Seismic loading; Bending; Bending moment; Frame (networking); Stiffness; Nonlinear system; Geology; Brace; Mechanical engineering","score_opus":0.008766953019673836,"score_gpt":0.22216963625247674,"score_spread":0.2134026832328029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309149177","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":[0.58405817,0.0036845636,0.41191587,0.000018874873,0.00010142148,0.00011838597,0.000018077462,0.00008391435,7.358411e-7],"genre_scores_gemma":[0.99115777,0.004205675,0.004484027,0.000029168521,0.00003178218,0.000040381063,0.000012927331,0.000028656703,0.0000095984815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989236,0.0000293607,0.00035480826,0.00021781566,0.00014065375,0.0003337751],"domain_scores_gemma":[0.9991537,0.0004908656,0.00006372498,0.00021798324,0.000030056304,0.00004367708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025801154,0.00021916839,0.00034878557,0.00016880974,0.000051429644,0.00001537895,0.00018109198,0.000108241205,0.000005749109],"category_scores_gemma":[0.00009947863,0.00016436713,0.000038082442,0.00031959568,0.000059609036,0.0005507083,0.000045308083,0.00020900581,0.0000029187124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002169948,0.000011265793,0.06394187,0.00006613213,0.00003146242,0.0000020011394,0.00015909543,0.9245312,0.003926955,0.0000052040305,0.0000045054635,0.0072986083],"study_design_scores_gemma":[0.0010399745,0.000032307402,0.06556217,0.00050996337,0.000023708244,0.0000036663537,0.000060660688,0.92289746,0.009175661,0.00013656705,0.00030623114,0.00025160064],"about_ca_topic_score_codex":0.00004485563,"about_ca_topic_score_gemma":0.00004379287,"teacher_disagreement_score":0.40743184,"about_ca_system_score_codex":0.00013371486,"about_ca_system_score_gemma":0.000015052826,"threshold_uncertainty_score":0.67026967},"labels":[],"label_agreement":null},{"id":"W2462934991","doi":"10.1016/j.advengsoft.2016.06.008","title":"State of the practice for mesh generation and mesh processing software","year":2016,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Usability; Maintainability; Software engineering; Correctness; Software; Analytic hierarchy process; Reliability engineering; Programming language; Operating system; Operations research; Engineering","score_opus":0.009672580553957708,"score_gpt":0.2764194619632309,"score_spread":0.2667468814092732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462934991","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":[0.01088546,0.002955465,0.9852722,0.00042296376,0.00012831067,0.00021433514,0.000008027332,0.00011082075,0.0000023972968],"genre_scores_gemma":[0.56251496,0.001076356,0.43610835,0.000056040968,0.000054564898,0.0000998526,0.0000014188951,0.00001876715,0.000069687376],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998852,0.000042006406,0.00025725117,0.0003229162,0.00027783323,0.00024799973],"domain_scores_gemma":[0.99818385,0.0010966209,0.00010234668,0.0003528309,0.00022030805,0.00004402703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047263192,0.00011898944,0.00016964092,0.00009618064,0.00007758514,0.000052311956,0.00044145028,0.000038437112,9.0336636e-7],"category_scores_gemma":[0.0043425104,0.00007484475,0.000053157593,0.00045377662,0.00005830777,0.001472796,0.00015784997,0.000093528644,5.4386686e-7],"study_design_candidate":"design_other","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":[0.00001019857,0.000046661436,0.0061425236,0.0003616227,0.00001551873,0.0000016599864,0.0003906582,0.022993175,0.0013001664,0.0009922099,0.000022876471,0.9677227],"study_design_scores_gemma":[0.0049697356,0.0007675025,0.016286079,0.0037030003,0.00011974453,0.0000935586,0.00015468281,0.76898974,0.080632456,0.029860426,0.09206609,0.0023570075],"about_ca_topic_score_codex":0.0000040565,"about_ca_topic_score_gemma":0.0000112409425,"teacher_disagreement_score":0.9653657,"about_ca_system_score_codex":0.00005868927,"about_ca_system_score_gemma":0.00007028379,"threshold_uncertainty_score":0.5198704},"labels":[],"label_agreement":null},{"id":"W2519341008","doi":"10.1016/j.advengsoft.2016.09.003","title":"Parallel meshing of surfaces represented by collections of connected regions","year":2016,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Computer science; CAD; Parametric statistics; Process (computing); Surface (topology); Computer Aided Design; Geometric shape; Scaling; Geometric primitive; Parallel computing; Theoretical computer science; Computational science; Engineering drawing; Computer graphics (images); Mathematics; Operating system; Geometry; Engineering","score_opus":0.006487470396559283,"score_gpt":0.2287943342317139,"score_spread":0.2223068638351546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519341008","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":[0.019612862,0.0015733597,0.97827286,0.00012112706,0.0001960081,0.00007527385,0.000011452658,0.00009471998,0.000042315158],"genre_scores_gemma":[0.85491496,0.00031151605,0.14450361,0.000005996828,0.000011255357,0.000014032237,0.000004823994,0.0000056763197,0.00022812985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932486,0.00002035754,0.00023423198,0.00017271505,0.00013538999,0.0001124518],"domain_scores_gemma":[0.9990546,0.0005359533,0.00008719047,0.00019628268,0.000099429395,0.00002651587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009608746,0.000072077106,0.00013266536,0.00016992111,0.000030979336,0.00000841957,0.00021527061,0.000029755935,0.0000041510248],"category_scores_gemma":[0.0005068681,0.00006161688,0.000030712054,0.00091395876,0.000022039063,0.0004992623,0.000048587,0.000040935043,4.966759e-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":[0.000008466198,0.00006036192,0.0022391859,0.00006213837,0.000017903787,0.0000016657623,0.00019673197,0.95818985,0.01631451,0.014459326,0.00064028456,0.00780956],"study_design_scores_gemma":[0.0056726295,0.00064875704,0.015926342,0.002243262,0.000035830515,0.00005884991,0.00015719497,0.6217241,0.25697255,0.033220567,0.061701737,0.0016381661],"about_ca_topic_score_codex":0.000009526186,"about_ca_topic_score_gemma":0.000013013819,"teacher_disagreement_score":0.8353021,"about_ca_system_score_codex":0.000024738512,"about_ca_system_score_gemma":0.000026806125,"threshold_uncertainty_score":0.25126633},"labels":[],"label_agreement":null},{"id":"W2579364800","doi":"10.1016/j.advengsoft.2017.01.002","title":"Centralized and optimal motion planning for large-scale AGV systems: A generic approach","year":2017,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Science and Technology Program of Zhejiang Province; National Key Research and Development Program of China; Hangzhou Science and Technology Bureau; National Natural Science Foundation of China","keywords":"Discretization; Motion planning; Mathematical optimization; Computer science; Computation; Optimal control; Control theory (sociology); Nonlinear system; Nonlinear programming; Control reconfiguration; Decoupling (probability); Control engineering; Robot; Mathematics; Control (management); Algorithm; Engineering; Artificial intelligence","score_opus":0.011416687263662864,"score_gpt":0.24148628612792777,"score_spread":0.23006959886426492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579364800","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":[0.008018085,0.005580828,0.98503035,0.0000023537152,0.00056837,0.0002704535,0.000035306613,0.0004282269,0.00006604095],"genre_scores_gemma":[0.66059846,0.0005517205,0.33850536,0.0000022705724,0.000098559765,0.00012452641,0.000049038725,0.000049084745,0.000021006945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991542,0.000004541791,0.00018784897,0.00022717769,0.00007732314,0.0003488884],"domain_scores_gemma":[0.9995572,0.00005806075,0.000053513006,0.00025092022,0.000021680398,0.0000586032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009483151,0.00018851618,0.00022081716,0.00008276827,0.00014170287,0.000086989974,0.00014730895,0.000086230546,5.8771764e-7],"category_scores_gemma":[0.00015235823,0.00020619824,0.000028301345,0.000038608545,0.000017997745,0.0004756564,0.00003303681,0.00012651761,3.9144106e-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":[0.0000076511005,0.000009333232,0.0009180205,0.0006002908,0.000008276397,0.0000022887493,0.00017695554,0.9962148,0.000020804293,0.0002469494,0.000008883463,0.0017857114],"study_design_scores_gemma":[0.00066372246,0.0000147118935,0.0012563876,0.00012396436,0.0000108238655,0.0000067045357,0.00007807305,0.99405867,0.00016028136,0.00006437321,0.0033040128,0.0002582597],"about_ca_topic_score_codex":0.0000021120788,"about_ca_topic_score_gemma":9.731729e-7,"teacher_disagreement_score":0.6525803,"about_ca_system_score_codex":0.000062620755,"about_ca_system_score_gemma":0.0000032478267,"threshold_uncertainty_score":0.84085196},"labels":[],"label_agreement":null},{"id":"W2611536082","doi":"10.1016/j.advengsoft.2017.04.008","title":"An iterative method for the linearization of nonlinear failure criteria","year":2017,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Rock Mechanics and Modeling","field":"Engineering","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":"Laurentian University","funders":"","keywords":"Linearization; Nonlinear system; Applied mathematics; Mathematics; Hoek–Brown failure criterion; Least-squares function approximation; Iterative method; Mathematical optimization; Structural engineering; Control theory (sociology); Computer science; Engineering; Rock mass classification; Geotechnical engineering; Statistics; Physics","score_opus":0.010367556641099573,"score_gpt":0.301420807768714,"score_spread":0.29105325112761443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611536082","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":[0.0039639613,0.0010466675,0.9942085,0.000020083799,0.00040935347,0.00019066967,0.000039506496,0.00011351032,0.000007724699],"genre_scores_gemma":[0.4871953,0.00019969244,0.51236933,0.000006181411,0.00012514106,0.000049672362,0.000015087477,0.000034251138,0.000005354136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994456,0.0000055160453,0.00018802009,0.00013078233,0.00007112767,0.00015895197],"domain_scores_gemma":[0.99935585,0.00013793643,0.000045811597,0.0003680547,0.00006587307,0.000026484642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016273606,0.0001233687,0.00015727745,0.00005271026,0.00009971435,0.00004992285,0.00029138927,0.000058804922,0.000003067988],"category_scores_gemma":[0.00022379162,0.0001050606,0.00003936951,0.000047376954,0.000007257625,0.0005002645,0.00002387074,0.00010696383,3.0166962e-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":[0.0000041366116,0.000005897477,0.000039913713,0.00014376813,0.000009697459,4.3942455e-7,0.0002612357,0.97791713,0.006253205,0.00040751786,0.000006395041,0.014950637],"study_design_scores_gemma":[0.00019370935,0.000027961409,0.000051607865,0.00009119045,0.000008638857,9.797345e-7,0.0000337948,0.98039836,0.0138574755,0.00028459603,0.0049306597,0.00012103319],"about_ca_topic_score_codex":0.000004422002,"about_ca_topic_score_gemma":0.000024035235,"teacher_disagreement_score":0.48323137,"about_ca_system_score_codex":0.000018284863,"about_ca_system_score_gemma":0.0000066738157,"threshold_uncertainty_score":0.4284247},"labels":[],"label_agreement":null},{"id":"W2737343751","doi":"10.1016/j.advengsoft.2017.06.011","title":"Simulation of the shot peening process with variable shot diameters and impacting velocities","year":2017,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Shot peening; Residual stress; Shot (pellet); Materials science; Peening; Surface roughness; Dimple; Monte Carlo method; Residual; Mechanics; Surface finish; Finite element method; Structural engineering; Composite material; Metallurgy; Computer science; Engineering; Physics; Statistics; Mathematics","score_opus":0.011379010395568311,"score_gpt":0.2534707194437325,"score_spread":0.24209170904816418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737343751","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":[0.9766858,0.0018096124,0.02085808,0.0000051382517,0.00018465515,0.00012866785,0.000007362223,0.00012713531,0.00019350114],"genre_scores_gemma":[0.99461544,0.00007056059,0.0052422583,0.00000118741,0.000019206824,0.000012330385,0.0000015194058,0.000026122061,0.000011355329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994922,0.000003902729,0.00011349738,0.000105373234,0.00010988241,0.00017511935],"domain_scores_gemma":[0.99950033,0.00022117121,0.0000493915,0.00018458968,0.00002064222,0.000023882214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048911097,0.0001343926,0.00014494608,0.000038517748,0.00010246335,0.000038979782,0.00013845302,0.000038587583,0.0000027603426],"category_scores_gemma":[0.00018163129,0.000094723626,0.000016016484,0.0000755011,0.00004586582,0.0004679906,0.000025717745,0.00010802977,1.0514261e-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":[0.000005627762,0.000002970194,0.11009225,0.000247184,0.00001637328,0.0000013083992,0.0004856879,0.8868562,0.0000831303,0.0000074737445,1.6672115e-7,0.0022016447],"study_design_scores_gemma":[0.0014792302,0.00009064671,0.13205397,0.0025143032,0.00007590211,0.000008290305,0.00097512593,0.84082794,0.020726055,0.0002464651,0.00023820087,0.0007638703],"about_ca_topic_score_codex":0.000015457868,"about_ca_topic_score_gemma":0.00001656895,"teacher_disagreement_score":0.046028234,"about_ca_system_score_codex":0.000030968535,"about_ca_system_score_gemma":0.000007112852,"threshold_uncertainty_score":0.38627174},"labels":[],"label_agreement":null},{"id":"W2738900493","doi":"10.1016/j.advengsoft.2017.07.002","title":"Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems","year":2017,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":4981,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematical optimization; Convergence (economics); Computer science; Swarm behaviour; Pareto principle; Multi-objective optimization; Algorithm; Mathematics","score_opus":0.02226714207504294,"score_gpt":0.28126251541246283,"score_spread":0.2589953733374199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738900493","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":[0.000022785322,0.0015663903,0.99580276,0.0001323384,0.0010321925,0.00082337507,0.000013981442,0.0005849512,0.000021241001],"genre_scores_gemma":[0.0028115136,0.00042504337,0.99589527,0.000020275103,0.00012503813,0.0005169166,0.000007860231,0.00006367259,0.00013440226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776757,0.000024723184,0.00042210094,0.00065323367,0.00040555588,0.0007268123],"domain_scores_gemma":[0.99774224,0.0005504815,0.00015068288,0.0011887423,0.0001886248,0.00017922954],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006817822,0.00032154872,0.00037838652,0.00035131516,0.00022315336,0.0004468677,0.0019866726,0.00011480848,0.0000063107323],"category_scores_gemma":[0.002425936,0.0003373233,0.000091290414,0.000336281,0.00004254769,0.0017718776,0.0003597974,0.00026571302,0.000012838456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035783678,0.000030747637,0.000081521706,0.0001517995,0.000015167557,0.000017578996,0.00008784579,0.90588903,0.000034060376,0.000670499,0.000034558845,0.09298362],"study_design_scores_gemma":[0.0008497847,0.00007460366,0.00017722057,0.00016605026,0.0000050598856,0.000010040134,0.0000023670336,0.9875738,0.0008737554,0.00033433922,0.009536867,0.0003961197],"about_ca_topic_score_codex":0.0000073711485,"about_ca_topic_score_gemma":0.0000010951704,"teacher_disagreement_score":0.0925875,"about_ca_system_score_codex":0.00013043497,"about_ca_system_score_gemma":0.000081343445,"threshold_uncertainty_score":0.99990785},"labels":[],"label_agreement":null},{"id":"W2747056723","doi":"10.1016/j.advengsoft.2017.07.010","title":"CAD/Tolerancing integration: Mechanical assembly with form defects","year":2017,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"CAD; Revolute joint; Geometric dimensioning and tolerancing; Minimum bounding box; Tolerance analysis; Cylinder; Interpolation (computer graphics); Kinematics; Engineering drawing; Engineering; Computer Aided Design; Algorithm; Computer science; Mechanical engineering; Artificial intelligence","score_opus":0.005027010276223853,"score_gpt":0.21434035122409603,"score_spread":0.20931334094787218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747056723","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":[0.06731002,0.0009758212,0.9299758,0.000012560575,0.0004859455,0.00013485023,0.0000032473677,0.00059110444,0.00051066745],"genre_scores_gemma":[0.9550469,0.00028969528,0.044444684,0.00000926253,0.00008046691,0.00005044166,0.000007695242,0.000050047795,0.00002082298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922884,0.000002556177,0.0001685091,0.00018896775,0.00013970124,0.00027145105],"domain_scores_gemma":[0.9995007,0.000046361278,0.000043527245,0.00032183484,0.0000310818,0.000056482462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007241958,0.00019790625,0.00018957535,0.00008325748,0.000111654444,0.00010509677,0.00024129466,0.00007961749,0.000008378817],"category_scores_gemma":[0.00012088517,0.00017947215,0.00002848132,0.00007065977,0.000013281686,0.0009885149,0.000029058445,0.0002277312,0.0000041052117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059419854,0.0000053107856,0.0010080738,0.00023990237,0.0000064616916,0.000013169736,0.00008756034,0.97604245,0.000082740306,0.00038450756,0.000004735711,0.022119163],"study_design_scores_gemma":[0.0013765676,0.00012217142,0.011461402,0.0015996872,0.000028955621,0.000037100173,0.00005151418,0.9324214,0.044354632,0.00069183233,0.006713516,0.0011412373],"about_ca_topic_score_codex":0.0000065965983,"about_ca_topic_score_gemma":0.00011102405,"teacher_disagreement_score":0.88773686,"about_ca_system_score_codex":0.00007923674,"about_ca_system_score_gemma":0.00000943936,"threshold_uncertainty_score":0.7318661},"labels":[],"label_agreement":null},{"id":"W2809759906","doi":"10.1016/j.advengsoft.2018.06.001","title":"Multi-surrogate-based Differential Evolution with multi-start exploration (MDEME) for computationally expensive optimization","year":2018,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":37,"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 Victoria","funders":"National Natural Science Foundation of China","keywords":"Kriging; Surrogate model; Mathematical optimization; Global optimization; Optimization problem; Computer science; Differential evolution; Meta-optimization; Radial basis function; Algorithm; Mathematics; Artificial intelligence; Artificial neural network; Machine learning","score_opus":0.01604897834074174,"score_gpt":0.2640538693778125,"score_spread":0.24800489103707077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809759906","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":[0.00019897058,0.00014045746,0.99754184,0.00005489661,0.0006705784,0.00080547336,0.000019808635,0.0005659018,0.000002070381],"genre_scores_gemma":[0.1381971,0.0000128121455,0.86118704,0.00005028582,0.00008977022,0.00028794992,0.00011690365,0.000043904467,0.000014250214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833655,0.00003750824,0.00035182302,0.0006214545,0.00028486468,0.00036778385],"domain_scores_gemma":[0.9984691,0.00025936976,0.0001863912,0.00031302846,0.0006882143,0.00008385279],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000100255296,0.0002964229,0.00024113186,0.00031287488,0.00017468192,0.000079596735,0.00033894947,0.00008832889,0.000005507164],"category_scores_gemma":[0.00034849538,0.00030392848,0.00005025578,0.00062287186,0.000082350234,0.0025194406,0.00006032656,0.00012657882,0.000005316508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040190855,0.00010892155,0.0004118704,0.00003969119,0.00000968569,0.000002743608,0.00030654483,0.99647737,0.00011164904,0.0007546587,0.0000026425448,0.0017340229],"study_design_scores_gemma":[0.0029232483,0.00020529622,0.00087029435,0.000116633055,0.0000067916876,0.0000029793785,0.00004963685,0.9944301,0.00077339757,0.00013765188,0.000108411,0.0003755592],"about_ca_topic_score_codex":0.0000040268424,"about_ca_topic_score_gemma":0.000052482636,"teacher_disagreement_score":0.13799812,"about_ca_system_score_codex":0.00039133083,"about_ca_system_score_gemma":0.00009617301,"threshold_uncertainty_score":0.9999413},"labels":[],"label_agreement":null},{"id":"W2946784778","doi":"10.1016/j.advengsoft.2019.05.002","title":"An automated method for size and velocity distribution measurement in a particle-laden flow","year":2019,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Blood properties and coagulation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"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; Canada Foundation for Innovation","keywords":"Range (aeronautics); Tracking (education); Particle (ecology); Image processing; Breakage; Ellipse; Computer science; Mechanics; Particle-size distribution; Particle size; Flow (mathematics); Computer vision; Optics; Materials science; Physics; Image (mathematics); Mathematics; Geometry; Engineering; Geology","score_opus":0.010811207233916197,"score_gpt":0.28003883100563276,"score_spread":0.26922762377171655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946784778","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":[0.7466124,0.0023409182,0.2500106,0.00009323481,0.000117453266,0.0005492715,0.000012143712,0.0002617009,0.0000022202928],"genre_scores_gemma":[0.9116283,0.000040952462,0.08818342,0.000025470685,0.000021259139,0.00006332573,0.000020785032,0.000011867772,0.0000045930533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999374,0.000014248033,0.000155958,0.00016943272,0.00012218027,0.00016418462],"domain_scores_gemma":[0.9996985,0.00007335629,0.000020994894,0.000114889895,0.00005014816,0.00004207915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027133105,0.00008584194,0.00016831371,0.000021314587,0.00001291309,0.000008463203,0.000029668785,0.000049582057,0.0000044142907],"category_scores_gemma":[0.0003158102,0.00007859426,0.00001732933,0.00012177128,0.000005966903,0.00019655915,0.000009678322,0.00007397462,8.787237e-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":[0.0004985837,0.00023359207,0.23296624,0.0017216905,0.000039131828,0.0000078919165,0.00072896027,0.49685043,0.01591005,0.00021275142,0.000014370841,0.2508163],"study_design_scores_gemma":[0.0014655705,0.00023210463,0.16279832,0.0002576071,0.00001633919,0.0000048759316,0.000039777173,0.83160746,0.002605862,0.00006661997,0.00079389155,0.0001115506],"about_ca_topic_score_codex":0.000015759133,"about_ca_topic_score_gemma":0.000021022228,"teacher_disagreement_score":0.33475703,"about_ca_system_score_codex":0.00010171897,"about_ca_system_score_gemma":0.000017625158,"threshold_uncertainty_score":0.3204981},"labels":[],"label_agreement":null},{"id":"W3034165999","doi":"10.1016/j.advengsoft.2020.102836","title":"DigiSim — An Open Source Software Package for Heterogeneous Material Modeling Based on Digital Image Processing","year":2020,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":95,"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 Waterloo","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Bitmap; Computer science; MATLAB; Computational science; Finite element method; Software; Computer graphics (images); Open source; Source code; Image processing; Digital image; Digital image processing; Image (mathematics); Engineering drawing; Computer vision; Programming language; Engineering; Structural engineering","score_opus":0.013158888931748018,"score_gpt":0.2462087862365405,"score_spread":0.23304989730479247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034165999","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":[0.08188844,0.0004974962,0.9151191,0.000021118292,0.00025459376,0.00039211876,0.00015871311,0.0016203099,0.000048109145],"genre_scores_gemma":[0.924275,0.000013163936,0.074738055,0.0001110276,0.00030135372,0.0001326105,0.00019164523,0.00022769919,0.00000947801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982788,0.000008160234,0.0004020276,0.00052517443,0.00020755817,0.0005783116],"domain_scores_gemma":[0.9993373,0.00009298824,0.000049762242,0.0002612146,0.000049526938,0.0002091876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000925356,0.0004231466,0.0004019843,0.00012347294,0.00011279331,0.0006749765,0.00061057514,0.00011924158,0.000012478853],"category_scores_gemma":[0.00034197667,0.000451911,0.00006509191,0.00027275534,0.000020124977,0.0020190466,0.00009320979,0.00025865898,0.0000060431744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000682737,0.00002566344,0.00014598493,0.0010329861,0.000006134124,0.000016030755,0.00020524168,0.95969707,0.0007717781,0.0000035200246,0.000014968451,0.038012333],"study_design_scores_gemma":[0.0006613648,0.00016972052,0.0000046822997,0.00044178482,0.000009100837,0.0000050348326,0.00003640824,0.9937386,0.0022829245,0.0000844289,0.001977279,0.0005886709],"about_ca_topic_score_codex":0.0000021356914,"about_ca_topic_score_gemma":0.0000018903762,"teacher_disagreement_score":0.84238654,"about_ca_system_score_codex":0.00009644256,"about_ca_system_score_gemma":0.000027720193,"threshold_uncertainty_score":0.9997933},"labels":[],"label_agreement":null},{"id":"W3111036349","doi":"10.1016/j.advengsoft.2020.102952","title":"Two-level adaptation for Adaptive Multipreconditioned FETI","year":2020,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"Grand Équipement National De Calcul Intensif; Agence Nationale de la Recherche","keywords":"FETI; Solver; Propellant; Scalability; Homogenization (climate); Computer science; Adaptation (eye); Adaptive strategies; Mathematical optimization; Computational science; Mathematics; Finite element method; Aerospace engineering; Domain decomposition methods; Engineering; Physics","score_opus":0.01606532738268672,"score_gpt":0.24256957548603708,"score_spread":0.22650424810335035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111036349","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":[0.018542625,0.00032798218,0.9806083,0.000091682145,0.000068072055,0.00012585535,0.000076745026,0.00008400945,0.00007475489],"genre_scores_gemma":[0.8563175,0.0000054944167,0.14323527,0.000039878367,0.00017616864,0.00010382608,0.00007251672,0.000017808476,0.00003154683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993993,0.0000064073174,0.00014890592,0.00019977408,0.00006255239,0.00018304952],"domain_scores_gemma":[0.9996741,0.00013029274,0.000041343686,0.0000723067,0.000031089025,0.00005090857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003144717,0.0001154744,0.00014594902,0.000044422926,0.000033701275,0.000013445639,0.000086571614,0.000015436315,0.000048628084],"category_scores_gemma":[0.000034541565,0.00012779303,0.00006735568,0.0001673015,0.000008719732,0.00018406931,0.000011807862,0.00008364109,0.000007513757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002240203,0.000027172382,0.003899006,0.000048533362,0.00004124701,0.0000010496952,0.000532575,0.9110037,0.0008986103,0.002176596,0.000026888902,0.08132221],"study_design_scores_gemma":[0.0029633432,0.0003610456,0.003224,0.00017939672,0.00007914652,9.069813e-7,0.000949715,0.978145,0.0057578636,0.004207946,0.0033181426,0.0008135002],"about_ca_topic_score_codex":0.000019265282,"about_ca_topic_score_gemma":0.0000044970643,"teacher_disagreement_score":0.8377749,"about_ca_system_score_codex":0.000015262876,"about_ca_system_score_gemma":0.000011218708,"threshold_uncertainty_score":0.52112484},"labels":[],"label_agreement":null},{"id":"W3194592174","doi":"10.1016/j.advengsoft.2021.103046","title":"An application programming interface for multiscale shape-material modeling","year":2021,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Composite Material Mechanics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"Defense Advanced Research Projects Agency","keywords":"Interoperability; Computer science; Interface (matter); Property (philosophy); Application programming interface; Implementation; Distributed computing; Scale (ratio); Representation (politics); Visualization; Set (abstract data type); Field (mathematics); Data mining; Software engineering; Programming language","score_opus":0.005355703188686428,"score_gpt":0.24380187255451335,"score_spread":0.23844616936582694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194592174","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":[0.20381849,0.0008855776,0.7933086,0.0000031480674,0.0009065845,0.00025687856,0.000027087784,0.00079099735,0.0000026294274],"genre_scores_gemma":[0.7747374,0.000060812952,0.22464117,0.0000031929849,0.00014392225,0.00026508092,0.00007594438,0.00007085114,0.0000015803492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907696,0.0000068486306,0.00025814024,0.00026847547,0.000083988365,0.00030559933],"domain_scores_gemma":[0.99957705,0.000040998995,0.000017751992,0.0002573266,0.00004987373,0.00005697701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007250496,0.00018575307,0.00019574567,0.00006716713,0.000029122539,0.000064994085,0.00016556874,0.000081279075,0.00000793422],"category_scores_gemma":[0.000051879164,0.00023335767,0.000035650253,0.0001588407,0.0000045415118,0.00042642557,0.000036437646,0.00009811658,0.0000028329396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008615413,0.000016914884,0.000027425505,0.00034870734,0.0000048668794,0.0000024349551,0.00009277487,0.85472304,0.083295695,0.00009119001,5.419981e-7,0.061387807],"study_design_scores_gemma":[0.00022581915,0.000024126417,0.0000066249563,0.00010839584,0.0000061309443,0.000006768339,0.000029968012,0.9258895,0.06999999,0.00013091174,0.0033256207,0.00024615607],"about_ca_topic_score_codex":0.00000291429,"about_ca_topic_score_gemma":0.00002155551,"teacher_disagreement_score":0.570919,"about_ca_system_score_codex":0.00010315004,"about_ca_system_score_gemma":0.000007635355,"threshold_uncertainty_score":0.95160496},"labels":[],"label_agreement":null},{"id":"W4378446702","doi":"10.1016/j.advengsoft.2023.103571","title":"SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes","year":2023,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Office National d'études et de Recherches Aérospatiales; HORIZON EUROPE Framework Programme; University of California, San Diego; Glenn Research Center; European Commission; Polytechnique Montréal; National Aeronautics and Space Administration","keywords":"Computer science; Kriging; Surrogate model; Toolbox; Python (programming language); MIT License; Data mining; Machine learning; Software; Artificial intelligence; Programming language","score_opus":0.0080770724748144,"score_gpt":0.23167608308100854,"score_spread":0.22359901060619414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378446702","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":[0.0039548962,0.0005709153,0.99398005,0.00011949268,0.000154055,0.00020023559,0.00000671727,0.0009621026,0.000051541054],"genre_scores_gemma":[0.34766376,0.00040042674,0.65169096,0.000026627114,0.00003318313,0.000110911344,0.000006671988,0.00003926405,0.00002819689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855125,0.000021117436,0.00020544598,0.0005571788,0.00024847288,0.00041653027],"domain_scores_gemma":[0.99906504,0.00041241353,0.0000465763,0.0002912911,0.000084928244,0.000099777484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013591861,0.0002390042,0.00022898911,0.0003228543,0.000085919775,0.00008054657,0.00032551173,0.00005746353,9.947076e-7],"category_scores_gemma":[0.0005503623,0.00021380896,0.000017481107,0.001532228,0.00003532827,0.0010577644,0.00011142138,0.00023808978,0.000004973016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001269185,0.000020438496,0.0004062721,0.000118988166,0.0000066458474,0.000053376385,0.00031445583,0.97535247,0.000008763766,0.0022779952,0.0000010132597,0.021426897],"study_design_scores_gemma":[0.0006021693,0.00009930351,0.00032667362,0.0003377523,0.0000028045026,0.000020674499,0.000035400415,0.99476683,0.00026818918,0.0030263225,0.00019696142,0.0003169218],"about_ca_topic_score_codex":0.0000057056113,"about_ca_topic_score_gemma":0.000023110239,"teacher_disagreement_score":0.34370887,"about_ca_system_score_codex":0.000059535952,"about_ca_system_score_gemma":0.00006196083,"threshold_uncertainty_score":0.8718876},"labels":[],"label_agreement":null},{"id":"W4396570721","doi":"10.1016/j.advengsoft.2024.103666","title":"Domain specific language for finite element modeling and simulation","year":2024,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Model-Driven Software Engineering Techniques","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":"U.S. Nuclear Regulatory Commission; Canadian Nuclear Safety Commission; U.S. Department of Energy","keywords":"Finite element method; Computer science; Domain (mathematical analysis); Domain-specific language; Programming language; Mathematics; Engineering; Structural engineering; Mathematical analysis","score_opus":0.008798394291511382,"score_gpt":0.2623886816631045,"score_spread":0.2535902873715931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396570721","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":[0.0020871053,0.013321241,0.98227876,0.000030537976,0.00034908083,0.00026669863,0.00000970005,0.0016532749,0.0000036123076],"genre_scores_gemma":[0.2238195,0.00028963806,0.7756753,0.000010376269,0.0000639363,0.000097954086,0.0000073031624,0.00002803693,0.000007968433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989765,0.0000070801802,0.00022354408,0.0003905103,0.00013739543,0.0002649521],"domain_scores_gemma":[0.99934393,0.00029213697,0.00001622944,0.0002778657,0.000024271649,0.00004554595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021457931,0.00017389919,0.00014903079,0.00023958838,0.000028402956,0.000104776394,0.0002517557,0.000056482695,0.00000132618],"category_scores_gemma":[0.000015885327,0.00018547272,0.000040827577,0.00027915603,0.000007865913,0.000771132,0.00009420105,0.00014229381,0.0000016331369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014052292,0.0000043630707,0.000026695117,0.00020523755,0.0000036700521,0.000011189093,0.0005144737,0.86460084,0.00005716753,0.04265884,0.0000044391327,0.09191166],"study_design_scores_gemma":[0.00010233336,0.000025482315,0.000008071238,0.00025472947,0.0000016083637,0.0000027479177,0.0000042082884,0.90271425,0.000115206385,0.0026902896,0.09388811,0.0001929754],"about_ca_topic_score_codex":0.0000015158724,"about_ca_topic_score_gemma":0.0000013233087,"teacher_disagreement_score":0.2217324,"about_ca_system_score_codex":0.00009046492,"about_ca_system_score_gemma":0.0000110975,"threshold_uncertainty_score":0.7563358},"labels":[],"label_agreement":null},{"id":"W4401044053","doi":"10.1016/j.advengsoft.2024.103724","title":"RF-DYNA — Software for optimized random finite element simulation using LS-DYNA","year":2024,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"LS-DYNA; Finite element method; Software; Computer science; Structural engineering; Materials science; Engineering; Programming language","score_opus":0.007657734699023549,"score_gpt":0.2521332990052941,"score_spread":0.24447556430627052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401044053","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":[0.0018058273,0.0143296635,0.9797861,0.000011459938,0.00092489034,0.00036959696,0.00006467136,0.0026987137,0.000009056607],"genre_scores_gemma":[0.7500809,0.000862766,0.24810456,0.000013263302,0.00036543686,0.00021793666,0.00009340063,0.00020598693,0.00005578032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982213,0.00000814618,0.0005467128,0.00040499357,0.00023701899,0.00058182416],"domain_scores_gemma":[0.9983947,0.0010985937,0.00002792439,0.0003030913,0.00006510207,0.000110544075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002747086,0.00039881634,0.00048722935,0.0004613979,0.000056112665,0.00009311461,0.00021803017,0.00016680085,0.000028792034],"category_scores_gemma":[0.00072408235,0.00042208933,0.00023069979,0.0009009667,0.000018157976,0.00050309324,0.0000391496,0.0003674706,0.000009458006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001564449,0.000011014597,0.000027439637,0.0010427675,0.0000795911,0.000013644034,0.000051966057,0.97513425,0.00016445479,0.00002673378,0.000011676597,0.023420818],"study_design_scores_gemma":[0.0008957579,0.000024996245,0.000011984149,0.00061568385,0.00007731546,0.0000029745459,0.000010757496,0.9801961,0.00024805358,0.00012919842,0.017310925,0.00047624466],"about_ca_topic_score_codex":0.0000047718036,"about_ca_topic_score_gemma":0.0000023583505,"teacher_disagreement_score":0.74827504,"about_ca_system_score_codex":0.0002582133,"about_ca_system_score_gemma":0.000022578173,"threshold_uncertainty_score":0.9998231},"labels":[],"label_agreement":null},{"id":"W4403258602","doi":"10.1016/j.advengsoft.2024.103790","title":"FreeTO - Freeform 3D topology optimization using a structured mesh with smooth boundaries in Matlab","year":2024,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Topology Optimization in Engineering","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Topology optimization; MATLAB; Topology (electrical circuits); Computer science; Engineering drawing; Mathematical optimization; Computational science; Mathematics; Engineering; Finite element method; Structural engineering; Programming language; Combinatorics","score_opus":0.003551843732588537,"score_gpt":0.21442680797874328,"score_spread":0.21087496424615473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403258602","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":[0.018081592,0.00991334,0.9680026,0.000018753119,0.0018952427,0.00024179909,0.000025601199,0.0017059151,0.00011516136],"genre_scores_gemma":[0.5486392,0.00044148255,0.45050272,0.000012272464,0.000110899666,0.00007206813,0.00003902034,0.00016458757,0.00001779551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984937,0.000011911545,0.00041429538,0.00036408365,0.00016634674,0.00054970535],"domain_scores_gemma":[0.99949414,0.00011231717,0.000025025498,0.00027371,0.000029941648,0.000064882486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000098420074,0.00037607065,0.00036162612,0.00069998496,0.00005244868,0.0001244316,0.00021353527,0.00021506236,0.000075044525],"category_scores_gemma":[0.00008612568,0.00038813858,0.00003577353,0.001022111,0.00011952188,0.000999758,0.000042133386,0.00048217323,0.0000027411452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007800179,0.0000055109863,0.0021103963,0.0004763091,0.000025857775,0.000086319575,0.00047364022,0.993911,0.00004778698,0.0012020797,0.000009065542,0.0016442258],"study_design_scores_gemma":[0.00035413762,0.000028531189,0.00035956685,0.00042424307,0.000014558423,0.00006774659,0.00006499094,0.9940997,0.00013937309,0.0001548384,0.0038418386,0.00045050666],"about_ca_topic_score_codex":0.000032616448,"about_ca_topic_score_gemma":0.00023410682,"teacher_disagreement_score":0.5305576,"about_ca_system_score_codex":0.00045518245,"about_ca_system_score_gemma":0.000059226404,"threshold_uncertainty_score":0.99985707},"labels":[],"label_agreement":null},{"id":"W4404083128","doi":"10.1016/j.advengsoft.2024.103796","title":"Multi-feature driven seismic damage state identification for reinforced concrete shear walls using computer vision and machine learning","year":2024,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Feature (linguistics); Reinforced concrete; Shear (geology); Identification (biology); Shear wall; Structural engineering; Computer science; Artificial intelligence; State (computer science); Geology; Pattern recognition (psychology); Engineering; Machine learning; Geotechnical engineering; Algorithm","score_opus":0.005041855417475887,"score_gpt":0.23709723710577907,"score_spread":0.23205538168830317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404083128","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":[0.14089492,0.004075272,0.852822,0.000007466702,0.0013024407,0.00023639972,0.000025851221,0.00063399546,0.0000016629235],"genre_scores_gemma":[0.7812642,0.00073875795,0.21751465,0.000009920155,0.0002020679,0.00002724043,0.00005883643,0.00009713437,0.00008719537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990793,0.0000080150685,0.00023417127,0.0002642704,0.00009570698,0.00031857655],"domain_scores_gemma":[0.9996387,0.00012429188,0.000025727311,0.00012802832,0.00003332986,0.0000499399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012052093,0.00023365126,0.00020835201,0.00019122499,0.000060585062,0.00011085889,0.000095573305,0.00008858342,0.0000013243929],"category_scores_gemma":[0.000050573497,0.00023214825,0.00004723475,0.00018173069,0.000019832101,0.00066569593,0.000039477403,0.00037691218,0.000001607851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005996171,2.8747576e-7,0.00020852673,0.00081678655,0.000016866008,0.000015732992,0.00039123345,0.96411085,0.021736426,0.000020313948,0.000011578913,0.012665374],"study_design_scores_gemma":[0.00028519932,0.000030314754,0.0004514799,0.00069784845,0.0000120846935,0.000014922021,0.000016256161,0.98811024,0.0028433604,0.000015841246,0.007263476,0.00025898544],"about_ca_topic_score_codex":0.0000051842553,"about_ca_topic_score_gemma":0.0000018218199,"teacher_disagreement_score":0.6403693,"about_ca_system_score_codex":0.00012717838,"about_ca_system_score_gemma":0.00000831266,"threshold_uncertainty_score":0.94667304},"labels":[],"label_agreement":null},{"id":"W4405778117","doi":"10.1016/j.advengsoft.2024.103856","title":"Filling gaps in MODIS NDVI data using hybrid multiple imputation–Machine learning and DINCAE techniques: Case study of the State of Hawaii","year":2024,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":4,"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 Guelph","funders":"","keywords":"Imputation (statistics); Normalized Difference Vegetation Index; Computer science; State (computer science); Data mining; Artificial intelligence; Machine learning; Environmental science; Missing data; Algorithm; Geology","score_opus":0.01255343765924034,"score_gpt":0.26398189639792685,"score_spread":0.2514284587386865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405778117","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":[0.5857019,0.0027099287,0.41124508,0.000009315233,0.00007602462,0.00014338728,0.00001569088,0.00009429937,0.000004396544],"genre_scores_gemma":[0.95394856,0.00008849998,0.045930106,0.0000015130544,0.000007318175,0.0000074993222,0.0000043276777,0.000005031934,0.000007138493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999124,0.00003091672,0.00028085033,0.00030556394,0.00011134409,0.00014734975],"domain_scores_gemma":[0.99921745,0.0003428989,0.00006746111,0.00032396335,0.000030129193,0.00001807889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033182543,0.000111457986,0.00016050668,0.000109070694,0.00003810933,0.00002388454,0.00037541208,0.000019029096,5.891029e-7],"category_scores_gemma":[0.00042131467,0.000094180854,0.000015308047,0.0004441669,0.000023744069,0.00047425172,0.0005195659,0.000236506,3.893392e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014941018,0.000029914036,0.021778267,0.00042486592,0.0000070018655,0.00023936259,0.0017381966,0.947118,0.0004931695,0.000010569217,3.1993525e-7,0.028158853],"study_design_scores_gemma":[0.00013423187,0.00002833175,0.00020989194,0.00040954922,0.000004084076,0.00017200744,0.00029941255,0.99587727,0.0022754841,0.00025922921,0.00022517254,0.00010535146],"about_ca_topic_score_codex":0.0002430578,"about_ca_topic_score_gemma":0.000088964654,"teacher_disagreement_score":0.36824667,"about_ca_system_score_codex":0.000022838794,"about_ca_system_score_gemma":0.000019392852,"threshold_uncertainty_score":0.3840584},"labels":[],"label_agreement":null}]}