{"meta":{"query_hash":"405031dd661c","filters":{"venue":"Engineering Computations"},"cohort_total":41,"direct_labels_cover":0,"predictions_cover":41,"exported":41,"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/405031dd661c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Engineering+Computations"},"results":[{"id":"W1504844283","doi":"10.1108/02644400810841413","title":"Fast computation of preloaded bolted circular joint aiming at fatigue bolt sizing","year":2008,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Engineering Structural Analysis Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Finite element method; Sizing; Structural engineering; Bolted joint; Stiffness; Engineering; USable; Computation; Joint (building); Computer science; Algorithm","score_opus":0.03184693254633442,"score_gpt":0.2452936855989114,"score_spread":0.213446753052577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504844283","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09782034,0.00014577828,0.8944003,0.000043806784,0.000032037624,0.000042396718,0.00016912883,0.0020956937,0.0052506286],"genre_scores_gemma":[0.7886709,0.00016007277,0.20560955,0.00001839804,0.000013103371,0.00008163735,0.00032326757,0.0004304916,0.0046926616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987686,0.000017605365,0.000007365442,0.00002425769,0.000058128382,0.000015649175],"domain_scores_gemma":[0.9996923,0.00010915492,0.0000431923,0.00006042952,0.000080308826,0.000014684107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020860444,0.00046376433,0.00052863377,0.00047382247,0.00020331392,0.0005337964,0.0006205131,0.0005250791,0.0055367737],"category_scores_gemma":[0.0008079997,0.00031778164,0.0004982264,0.0003018159,0.00024484016,0.0004615207,0.00033382574,0.00035138434,0.0010960324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012489824,0.000041718777,0.0029651623,0.00029181325,0.000028202021,0.0002310272,0.0002086671,0.86413574,0.049455535,0.0062856865,0.0010205945,0.07521095],"study_design_scores_gemma":[0.0000054950237,0.000047089343,0.0005516699,0.000009209431,0.0000050957037,0.00006279415,0.000026211692,0.9908998,0.0061628628,0.00069318485,0.0015300494,0.0000066437688],"about_ca_topic_score_codex":0.0017240382,"about_ca_topic_score_gemma":0.0018195361,"teacher_disagreement_score":0.0055367737,"about_ca_system_score_codex":0.00030039632,"about_ca_system_score_gemma":0.00047891954,"threshold_uncertainty_score":0.018522322},"labels":[],"label_agreement":null},{"id":"W1964920841","doi":"10.1108/02644400410554344","title":"Optimal minimax algorithm for integrating fast oscillatory functions in two dimensions","year":2004,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Bilinear interpolation; Piecewise; Minimax; Mathematics; Interpolation (computer graphics); Range (aeronautics); Algorithm; Numerical integration; Constant (computer programming); Lipschitz continuity; Focus (optics); Applied mathematics; Mathematical optimization; Spline (mechanical); Computer science; Mathematical analysis; Image (mathematics); Artificial intelligence","score_opus":0.023940113890424667,"score_gpt":0.29957557020555337,"score_spread":0.2756354563151287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964920841","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028628928,0.00011487853,0.9963922,0.000033555112,0.00001509702,0.000013482744,0.0000048614734,0.00006921382,0.0004938257],"genre_scores_gemma":[0.12425926,0.0002799586,0.87171024,0.00006526005,0.000034705594,0.00026595203,0.00005562857,0.00016075182,0.0031682833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996069,0.00014176106,0.000025275365,0.000037198468,0.00015665802,0.0000322451],"domain_scores_gemma":[0.9994424,0.0003576325,0.000040624967,0.00004787183,0.00009305108,0.000018386087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018693907,0.0006210266,0.0009785341,0.0007060977,0.0003379243,0.0007782591,0.0009727293,0.0009523918,0.0019117503],"category_scores_gemma":[0.0034614264,0.0004306907,0.00042583686,0.00083520054,0.0007282992,0.0010283182,0.0010139878,0.0013214691,0.0005254614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019470825,0.00007578279,0.0004080569,0.0001846362,0.000051469247,0.00007366009,0.00018261831,0.6081148,0.009752492,0.18007185,0.0016629165,0.19922706],"study_design_scores_gemma":[0.0000136287135,0.000024418197,0.000031666015,0.0000076254933,0.0000033227232,0.000010345136,0.0000057640386,0.98722607,0.00075700163,0.010966683,0.00094895007,0.0000045314137],"about_ca_topic_score_codex":0.0012028865,"about_ca_topic_score_gemma":0.0011786468,"teacher_disagreement_score":0.0019117503,"about_ca_system_score_codex":0.0006626952,"about_ca_system_score_gemma":0.0008710062,"threshold_uncertainty_score":0.009886444},"labels":[],"label_agreement":null},{"id":"W1966241195","doi":"10.1108/02644400210444320","title":"Thermo‐hydro‐mechanical modelling of high performance concrete at high temperatures","year":2002,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Spall; Context (archaeology); Thermal; Structural engineering; Tension (geology); Fire performance; Engineering; Mechanical engineering; Materials science; Compression (physics); Fire resistance; Composite material; Geology","score_opus":0.010489854070230982,"score_gpt":0.17680119162118993,"score_spread":0.16631133755095895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966241195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41419637,0.0015297462,0.5469431,0.00047396106,0.00018189302,0.0001787809,0.000748958,0.00086561777,0.03488152],"genre_scores_gemma":[0.95768094,0.0010701537,0.025115423,0.00003299052,0.000032924017,0.00015705985,0.00035728965,0.000113926275,0.015439324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974686,0.000049390663,0.000012533385,0.00003225085,0.00012654142,0.000032372445],"domain_scores_gemma":[0.99979335,0.00006693181,0.00005026657,0.000036529207,0.000032802294,0.00002011805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030917407,0.0006698233,0.00048921665,0.00040067465,0.0005220937,0.0009041085,0.0007932153,0.0013859847,0.0021877717],"category_scores_gemma":[0.00069232885,0.00055026275,0.0006137511,0.00034835326,0.0010275318,0.000816017,0.00053652434,0.00073657767,0.00061105133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008125113,0.000013007279,0.00020070293,0.000026279411,0.0000060472225,0.000034332163,0.000022902803,0.9893678,0.0060809585,0.0029024258,0.000045860743,0.0012916462],"study_design_scores_gemma":[0.000007803469,0.000023379185,0.00095801376,0.000007746368,0.000005667143,0.000041878553,0.000013560275,0.9934284,0.0023374415,0.0017364783,0.001430886,0.000008720123],"about_ca_topic_score_codex":0.0053573647,"about_ca_topic_score_gemma":0.0035737082,"teacher_disagreement_score":0.0053573647,"about_ca_system_score_codex":0.00054758287,"about_ca_system_score_gemma":0.000943271,"threshold_uncertainty_score":0.010652363},"labels":[],"label_agreement":null},{"id":"W1995542117","doi":"10.1108/02644400710718574","title":"Computing orientation distribution and rheology of turbulent fiber suspensions flowing through a contraction","year":2007,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rheology; Turbulence; Orientation (vector space); Materials science; Contraction (grammar); Mechanics; Classical mechanics; Physics; Mathematics; Geometry; Composite material; Medicine","score_opus":0.007542306562436553,"score_gpt":0.24563374294382484,"score_spread":0.2380914363813883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995542117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867265,0.000019963683,0.012863792,0.000012045701,0.0000019102959,0.0000032823912,0.000015269217,0.000041169642,0.00031600727],"genre_scores_gemma":[0.99591535,0.000018251514,0.0038623686,0.0000022208935,0.0000015383592,0.0000022252525,0.00004504186,0.000008578757,0.00014450363],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99996674,0.0000042321603,0.0000016637388,0.000009984851,0.000009372299,0.000007928184],"domain_scores_gemma":[0.9998684,0.000046246554,0.000029073275,0.000008887615,0.000026806323,0.000020580266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103175196,0.00019871969,0.00016988357,0.0003534157,0.00029632697,0.0003945457,0.000117655145,0.00015815486,0.00046895418],"category_scores_gemma":[0.0004736118,0.00010124051,0.00012946418,0.00022617179,0.00023332264,0.00035086097,0.00014586493,0.0001840764,0.000078450605],"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":[0.0008931818,0.000220723,0.052015405,0.00006438266,0.00003018631,0.00026905493,0.00021052,0.16109887,0.73967165,0.0015768383,0.00016676354,0.04378244],"study_design_scores_gemma":[0.000017357566,0.0001510093,0.02828916,0.000003085526,0.000013020118,0.000086581415,0.000107992106,0.8541398,0.11644391,0.00044125132,0.00029138272,0.000015424012],"about_ca_topic_score_codex":0.0029650468,"about_ca_topic_score_gemma":0.0016904927,"teacher_disagreement_score":0.0029650468,"about_ca_system_score_codex":0.00023181191,"about_ca_system_score_gemma":0.00021302074,"threshold_uncertainty_score":0.005895555},"labels":[],"label_agreement":null},{"id":"W2002434180","doi":"10.1108/02644400610638961","title":"A practical investigation to solving the inverse problem of crack identification through vibration measurements","year":2006,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Decoupling (probability); Variable (mathematics); Identification (biology); Inverse problem; Vibration; Inverse; Computer science; Mathematical optimization; Algorithm; Engineering; Mathematics; Control engineering","score_opus":0.052271280408199366,"score_gpt":0.3081759174926269,"score_spread":0.25590463708442757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002434180","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038120348,0.00024214781,0.95574486,0.00046053936,0.000045337056,0.00010153988,0.00001819779,0.00016560438,0.0051014507],"genre_scores_gemma":[0.50092614,0.00028984508,0.49497753,0.00009126496,0.000034907796,0.00013933788,0.00003467471,0.00004731974,0.00345897],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990835,0.00031998756,0.000024591676,0.00015686834,0.00038186848,0.000033265558],"domain_scores_gemma":[0.99822587,0.0012206634,0.00009972503,0.00021489641,0.00020318662,0.000035754674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012270233,0.00044797594,0.00047117367,0.00029059107,0.00043703394,0.0006005198,0.0006170033,0.0010620909,0.004073974],"category_scores_gemma":[0.0038759026,0.00036266042,0.00038268772,0.00020564336,0.0010555695,0.001192053,0.00095458387,0.0011012485,0.000559787],"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":[0.0006772869,0.00037309356,0.0048377253,0.0010836115,0.00006172325,0.00061131606,0.00059758907,0.27535683,0.17854859,0.075330995,0.0021589054,0.46036237],"study_design_scores_gemma":[0.000081276536,0.0006556911,0.0019012049,0.00007953063,0.000022556982,0.00085654634,0.00021840191,0.921868,0.041110363,0.025663972,0.0075040055,0.00003843672],"about_ca_topic_score_codex":0.00050746556,"about_ca_topic_score_gemma":0.00057267566,"teacher_disagreement_score":0.004073974,"about_ca_system_score_codex":0.00025149784,"about_ca_system_score_gemma":0.00054970814,"threshold_uncertainty_score":0.01362884},"labels":[],"label_agreement":null},{"id":"W2003722503","doi":"10.1108/ec-01-2013-0026","title":"A multiple sequence alignment method with sequence vectorization","year":2014,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Multiple sequence alignment; Alignment-free sequence analysis; Sequence (biology); Vectorization (mathematics); Computer science; Sequence alignment; Scale (ratio); Tree (set theory); Algorithm; Data mining; Parallel computing; Mathematics; Biology; Peptide sequence","score_opus":0.013538656832331674,"score_gpt":0.24720420080160233,"score_spread":0.23366554396927064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003722503","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012924973,0.000258216,0.994517,0.00007139468,0.000091289156,0.00006843054,0.00007081247,0.0022295164,0.0014008266],"genre_scores_gemma":[0.026961476,0.00038998396,0.9677106,0.000115968425,0.0000561823,0.0002772607,0.00048764594,0.00042860777,0.0035723073],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870944,0.0002760961,0.00011509136,0.00032437276,0.0005000714,0.00007498293],"domain_scores_gemma":[0.999469,0.0001092533,0.00007211134,0.000076853685,0.000240271,0.00003250902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006625531,0.0012337809,0.0008256886,0.0015290938,0.0008379271,0.0011622566,0.0016137579,0.00093048764,0.0074229566],"category_scores_gemma":[0.0019549513,0.0005279968,0.001045582,0.002206302,0.00064985367,0.0018571625,0.0010574129,0.0015669141,0.0046341172],"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":[0.00024479782,0.00010794091,0.0008867389,0.0009835792,0.00013979294,0.00032656066,0.0003902159,0.03237411,0.10426474,0.041671127,0.017788418,0.800822],"study_design_scores_gemma":[0.00011743119,0.00028610294,0.00079341984,0.00013470808,0.000070121634,0.0012474172,0.00020477531,0.74415237,0.08449877,0.022068257,0.14628525,0.00014132763],"about_ca_topic_score_codex":0.0019258059,"about_ca_topic_score_gemma":0.0014422664,"teacher_disagreement_score":0.0074229566,"about_ca_system_score_codex":0.00076660025,"about_ca_system_score_gemma":0.0013476755,"threshold_uncertainty_score":0.024832249},"labels":[],"label_agreement":null},{"id":"W2004202439","doi":"10.1108/02644401211271636","title":"MHD natural convection flow from an isothermal horizontal circular cylinder under consideration of temperature dependent viscosity","year":2012,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Nusselt number; Mechanics; Laminar flow; Magnetohydrodynamics; Natural convection; Heat transfer; Magnetohydrodynamic drive; Boundary layer; Boundary value problem; Combined forced and natural convection; Inviscid flow; Turbulence; Classical mechanics; Physics; Thermodynamics; Mathematics; Reynolds number; Mathematical analysis; Magnetic field","score_opus":0.0073564749653744115,"score_gpt":0.21049018421928634,"score_spread":0.20313370925391191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004202439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9087945,0.00054621446,0.08144594,0.00019625558,0.00005479866,0.00006358623,0.00008191018,0.000104459235,0.008712321],"genre_scores_gemma":[0.9922651,0.000103603204,0.0062236874,0.0000083128,0.00000959989,0.000022103417,0.000027149268,0.000004160625,0.001336332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999417,0.000011679216,0.0000031209797,0.000009205108,0.000022894246,0.0000114033055],"domain_scores_gemma":[0.99992466,0.000024942625,0.000019139045,0.000008175311,0.000016925136,0.0000061075875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011207977,0.00025732003,0.0002655643,0.00016049501,0.0003620621,0.00033692567,0.0002446908,0.0002928835,0.00040110422],"category_scores_gemma":[0.0003957766,0.00010265927,0.00027217926,0.00011969726,0.0005908588,0.00023418001,0.00031627432,0.00014796779,0.0000499141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033762315,0.00009215529,0.0051472276,0.00032226797,0.00003440995,0.0009487143,0.00037203598,0.71990126,0.22873825,0.028407987,0.00035266747,0.015345382],"study_design_scores_gemma":[0.00005295626,0.00013961327,0.0032992377,0.0000123404125,0.000017306678,0.00017660657,0.000060816415,0.9690192,0.02399601,0.001852535,0.0013549681,0.000018522045],"about_ca_topic_score_codex":0.0036229212,"about_ca_topic_score_gemma":0.001085068,"teacher_disagreement_score":0.0036229212,"about_ca_system_score_codex":0.00033762775,"about_ca_system_score_gemma":0.00067802763,"threshold_uncertainty_score":0.0072036386},"labels":[],"label_agreement":null},{"id":"W2004949946","doi":"10.1108/02644400810881383","title":"Model order reduction using neural network principal component analysis and generalized dimensional analysis","year":2008,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Principal component analysis; Artificial neural network; Computer science; Discretization; Computation; Nonlinear system; Mathematical optimization; Reduction (mathematics); Component (thermodynamics); Artificial intelligence; Algorithm; Mathematics","score_opus":0.02614989996557805,"score_gpt":0.2512696617841154,"score_spread":0.22511976181853738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004949946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008115185,0.00010090322,0.9896528,0.000093666444,0.000021277474,0.000033279368,0.000056621928,0.00046936868,0.0014569109],"genre_scores_gemma":[0.4023126,0.00041358898,0.59191066,0.00007873838,0.00005417884,0.00030708956,0.00040530565,0.00029588613,0.004221916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966955,0.00010386265,0.00001943422,0.000049254908,0.00013117868,0.000026657277],"domain_scores_gemma":[0.999521,0.00018211977,0.00006927672,0.00009139367,0.00012281355,0.000013417116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054947997,0.0007845646,0.0006877053,0.00073546945,0.00042306105,0.00081147795,0.00057112565,0.00035400156,0.0023810938],"category_scores_gemma":[0.001959217,0.00038344492,0.001015881,0.0005337236,0.0004909011,0.0007947239,0.0006664822,0.00095649535,0.00058384775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003274198,0.000034114135,0.0005219333,0.00009640525,0.000049059603,0.00004911559,0.000048904658,0.8823693,0.0038587817,0.018326538,0.0011589932,0.09345412],"study_design_scores_gemma":[0.0000018657877,0.000007724925,0.00006600315,0.000002913012,0.0000036019744,0.000005730208,0.0000037423474,0.9952171,0.00054462027,0.0036571645,0.00048636837,0.0000033093822],"about_ca_topic_score_codex":0.0061221747,"about_ca_topic_score_gemma":0.006441272,"teacher_disagreement_score":0.0061221747,"about_ca_system_score_codex":0.00062826765,"about_ca_system_score_gemma":0.001298601,"threshold_uncertainty_score":0.012173057},"labels":[],"label_agreement":null},{"id":"W2012166147","doi":"10.1108/02644401211212415","title":"Numerical implementation of a damage‐coupled material law for semicrystalline polyethylene","year":2012,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Crystallinity; Polyethylene; Composite material; Microstructure; Material properties; Amorphous solid; Constitutive equation; Structural engineering; Engineering; Crystallography; Chemistry; Finite element method","score_opus":0.014892199471999512,"score_gpt":0.27081674659280336,"score_spread":0.25592454712080387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012166147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041537385,0.00014740971,0.9483964,0.00019141802,0.000059634498,0.000121646946,0.00010661763,0.00032365424,0.009115742],"genre_scores_gemma":[0.5917226,0.00028836052,0.39601633,0.00014051619,0.00004466074,0.00047931008,0.00021503866,0.00023278447,0.010860337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981683,0.0000347723,0.000011460096,0.000026918426,0.00008706429,0.000023109178],"domain_scores_gemma":[0.99942136,0.0002854933,0.00008027022,0.0000630757,0.000118415795,0.000031427615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055296597,0.0004613331,0.0005973883,0.00048755034,0.00048844714,0.00079682487,0.0012210796,0.0013856626,0.0042897067],"category_scores_gemma":[0.0015189991,0.00034217062,0.0006795073,0.0003435642,0.0007129728,0.0006394074,0.0009907858,0.00090158335,0.0005732753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001814104,0.000044500754,0.0005091059,0.00006102333,0.0000104335895,0.00011118608,0.00006091193,0.97097987,0.003858471,0.015306907,0.00023473553,0.008804685],"study_design_scores_gemma":[0.0000029392606,0.0000065843697,0.000028437005,0.0000023139755,9.816002e-7,0.000008143602,0.0000038033556,0.9987134,0.00024231023,0.00068995974,0.00029957065,0.0000016003559],"about_ca_topic_score_codex":0.005687627,"about_ca_topic_score_gemma":0.004465782,"teacher_disagreement_score":0.005687627,"about_ca_system_score_codex":0.00075088337,"about_ca_system_score_gemma":0.001172708,"threshold_uncertainty_score":0.0143505335},"labels":[],"label_agreement":null},{"id":"W2023666161","doi":"10.1108/02644400410519811","title":"Thin tunnel liners modelled with particle flow code","year":2004,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geotechnical engineering; Fracture (geology); Particle flow; Tension (geology); Flow (mathematics); Discrete element method; Smoothed-particle hydrodynamics; Materials science; Structural engineering; Geology; Engineering; Mechanics; Composite material; Ultimate tensile strength","score_opus":0.010738485999374034,"score_gpt":0.19445709389264454,"score_spread":0.1837186078932705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023666161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5531109,0.00026547,0.40424007,0.00032922986,0.00021402525,0.0006850235,0.0069204825,0.0036928356,0.030541902],"genre_scores_gemma":[0.86635154,0.00029995077,0.117236234,0.000080325,0.000022664855,0.00096322334,0.002547802,0.00047352634,0.012024749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998129,0.00003294546,0.000012701183,0.000027957063,0.00007909049,0.0000343284],"domain_scores_gemma":[0.9994548,0.0002458943,0.00006379695,0.000068507026,0.0001305276,0.00003646867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044734208,0.00067940925,0.0008906803,0.0005916198,0.00045481487,0.00084671535,0.0017144448,0.0021664836,0.0085378215],"category_scores_gemma":[0.0010654223,0.00074899907,0.00077668886,0.0005803832,0.0005776057,0.0005664258,0.0005021749,0.0010756996,0.0010007117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020040361,0.000025187235,0.00037642175,0.000029593284,0.0000059664876,0.000051822546,0.000023479704,0.9945069,0.0020964087,0.0013218871,0.00019464329,0.0013477127],"study_design_scores_gemma":[0.000018745613,0.000012788653,0.00012032386,0.0000039754705,0.0000025244096,0.0000107203605,0.0000071783693,0.99810433,0.00089997443,0.00022965799,0.00058377546,0.000005879939],"about_ca_topic_score_codex":0.017361667,"about_ca_topic_score_gemma":0.008881914,"teacher_disagreement_score":0.017361667,"about_ca_system_score_codex":0.00085736054,"about_ca_system_score_gemma":0.0014992594,"threshold_uncertainty_score":0.034521222},"labels":[],"label_agreement":null},{"id":"W2026546610","doi":"10.1108/02644400710718547","title":"Evaluation of liquefaction potential of soil deposits using artificial neural networks","year":2007,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Liquefaction; Standard penetration test; Soil liquefaction; Artificial neural network; Cone penetration test; Geotechnical engineering; Engineering; Seismic analysis; Penetration test; Identification (biology); Civil engineering; Computer science; Machine learning","score_opus":0.019816501956088053,"score_gpt":0.2473261804384666,"score_spread":0.22750967848237855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026546610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9239939,0.0006253489,0.07077186,0.00013519745,0.000029479485,0.000053768086,0.00049656624,0.00042544914,0.0034684662],"genre_scores_gemma":[0.9947278,0.00011696502,0.0045115217,0.000007254517,0.0000042931943,0.000012877956,0.0001617111,0.000005313677,0.00045231837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999701,0.00007011606,0.00003329866,0.000057053276,0.000106318184,0.000032254535],"domain_scores_gemma":[0.9992895,0.00028590622,0.00014902948,0.000042904117,0.000204688,0.00002800667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072796753,0.0007385116,0.00044836305,0.0016378243,0.00015880815,0.00074073044,0.00050882564,0.0005666461,0.0009874024],"category_scores_gemma":[0.0022157065,0.0001925676,0.00045479776,0.0009046114,0.00018283636,0.0008468711,0.00032993563,0.00022208282,0.00017704538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019421798,0.00010412051,0.05272802,0.00010972175,0.00012013353,0.0001748056,0.000037698333,0.8728483,0.003069924,0.00027706273,0.0003526721,0.06998345],"study_design_scores_gemma":[0.0000016110071,0.000036888647,0.00462193,0.000009713706,0.000010923831,0.000010871441,0.00002005752,0.9942608,0.00085117295,0.00011168627,0.00005902147,0.0000053271815],"about_ca_topic_score_codex":0.008866321,"about_ca_topic_score_gemma":0.008131771,"teacher_disagreement_score":0.008866321,"about_ca_system_score_codex":0.00072883203,"about_ca_system_score_gemma":0.00030943652,"threshold_uncertainty_score":0.017629385},"labels":[],"label_agreement":null},{"id":"W2074835241","doi":"10.1108/02644401011029943","title":"Comparison and analysis of bubble growth and foam formation models","year":2010,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Bubble; Work (physics); Mechanics; Process (computing); Momentum (technical analysis); Growth model; Liquid bubble; Computer science; Mechanical engineering; Mathematics; Physics; Engineering; Economics; Mathematical economics","score_opus":0.009776792064271,"score_gpt":0.23764096660697756,"score_spread":0.22786417454270655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074835241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13854104,0.0019429885,0.84172755,0.000426645,0.00016047752,0.00020962615,0.00049625104,0.0014444699,0.015050947],"genre_scores_gemma":[0.8784814,0.0012587617,0.11377278,0.00008590245,0.000054809003,0.0003713133,0.00048918463,0.0002670297,0.005218913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996165,0.00007853407,0.000021250406,0.00005733431,0.00018601613,0.000040388997],"domain_scores_gemma":[0.99848527,0.00088250934,0.00014105141,0.00012680501,0.00032444196,0.000039948605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005419677,0.0005997184,0.0007116259,0.0007330568,0.00030589642,0.0007636648,0.0013661003,0.0013022195,0.0017292439],"category_scores_gemma":[0.0024685208,0.00030307972,0.0010470289,0.00039704688,0.0004566451,0.000807624,0.0004965748,0.0005989692,0.00037655965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007351133,0.000063053754,0.0018243729,0.00020014816,0.000030932264,0.00010456868,0.000116729134,0.9470051,0.0086952625,0.0113294,0.0006159893,0.029940924],"study_design_scores_gemma":[0.0000038187204,0.000017481303,0.00015449274,0.0000072956423,0.000004726688,0.000019821722,0.0000066402754,0.9969562,0.0013741346,0.00080177566,0.000648582,0.000005057912],"about_ca_topic_score_codex":0.008493507,"about_ca_topic_score_gemma":0.003136511,"teacher_disagreement_score":0.008493507,"about_ca_system_score_codex":0.00091567397,"about_ca_system_score_gemma":0.00076714356,"threshold_uncertainty_score":0.016888142},"labels":[],"label_agreement":null},{"id":"W2083055703","doi":"10.1108/02644400810899933","title":"Computational study on a damage‐coupled model for crystalline polyethylene","year":2008,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Isotropy; Materials science; Orthorhombic crystal system; Crystal structure; Slip (aerodynamics); Mechanics; Composite material; Structural engineering; Crystallography; Thermodynamics; Physics; Engineering; Optics; Chemistry","score_opus":0.04218119504971896,"score_gpt":0.26370366490732217,"score_spread":0.2215224698576032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083055703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4816618,0.00026515598,0.4982605,0.00073636504,0.000072791445,0.00022705791,0.00042876854,0.00034165423,0.018005809],"genre_scores_gemma":[0.91271585,0.00014752534,0.07993018,0.00013725732,0.000027486856,0.0002954394,0.00028607674,0.00008692863,0.0063731833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998356,0.000044210134,0.000007996765,0.000030057801,0.000053996468,0.000028105505],"domain_scores_gemma":[0.99915075,0.00053256575,0.00009653523,0.00005279453,0.00011541959,0.000051975436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005603947,0.0004505614,0.0007786842,0.000448787,0.00062335655,0.0009245556,0.0011970687,0.0015372093,0.002837817],"category_scores_gemma":[0.0021102983,0.0004174819,0.0007022434,0.00042751528,0.0008554278,0.00060719764,0.0009833323,0.0008266739,0.00022377454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001022564,0.000016823125,0.0002818941,0.000012243274,0.0000039374845,0.00003637751,0.00001320374,0.9965934,0.00028101666,0.0019377265,0.000058789075,0.0007544234],"study_design_scores_gemma":[0.0000025134373,0.000004191134,0.000029728708,8.429011e-7,7.141407e-7,0.0000028860954,0.0000030667934,0.9996431,0.000043387427,0.00022390523,0.000044944907,7.284648e-7],"about_ca_topic_score_codex":0.014367087,"about_ca_topic_score_gemma":0.007861082,"teacher_disagreement_score":0.014367087,"about_ca_system_score_codex":0.0008558016,"about_ca_system_score_gemma":0.0013717978,"threshold_uncertainty_score":0.028566897},"labels":[],"label_agreement":null},{"id":"W2149504570","doi":"10.1108/02644400310502973","title":"Subdomain cluster generation for domain decomposition methods using graph partitioning optimization","year":2003,"lang":"en","type":"article","venue":"Engineering Computations","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Domain decomposition methods; Graph partition; Computer science; Parallel computing; Decomposition; Cluster (spacecraft); Heuristic; Decomposition method (queueing theory); Software; Graph; Load balancing (electrical power); Domain (mathematical analysis); Mathematical optimization; Theoretical computer science; Mathematics; Finite element method; Chemistry; Engineering; Programming language","score_opus":0.02363652411567258,"score_gpt":0.30661947565827613,"score_spread":0.28298295154260356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149504570","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0122220935,0.00008162009,0.98534656,0.000057639965,0.000013377935,0.00004126979,0.000024188712,0.00016777235,0.002045497],"genre_scores_gemma":[0.17897399,0.0001450935,0.81844264,0.00004155805,0.000016303602,0.0001879744,0.00014209254,0.0001908963,0.0018595627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99979943,0.000072011186,0.000007046911,0.000030749805,0.00007274187,0.000018051329],"domain_scores_gemma":[0.99972624,0.0001499941,0.000026625072,0.000031174888,0.000049754566,0.000016342414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043139458,0.00056836184,0.0004804142,0.0005457992,0.0004655766,0.0005169311,0.000447779,0.00037032447,0.0022353043],"category_scores_gemma":[0.0011447088,0.00024321732,0.00030716677,0.00049229333,0.00031083595,0.00042434203,0.00060853164,0.00058183155,0.0004802057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013666209,0.00007159274,0.0007612323,0.00015762476,0.000021331969,0.000056222405,0.00011957543,0.73677856,0.023194294,0.029253757,0.0024561356,0.20699304],"study_design_scores_gemma":[0.000011950278,0.000018160723,0.00007941959,0.000005652561,0.000003059392,0.000015106696,0.000018960063,0.9901827,0.0032076514,0.0043877326,0.002065873,0.0000036968793],"about_ca_topic_score_codex":0.0015024993,"about_ca_topic_score_gemma":0.0026958506,"teacher_disagreement_score":0.0022353043,"about_ca_system_score_codex":0.00054944854,"about_ca_system_score_gemma":0.00076470396,"threshold_uncertainty_score":0.00747782},"labels":[],"label_agreement":null},{"id":"W2282870531","doi":"10.1108/ec-09-2014-0179","title":"Influence of impeller-tongue interaction on the unsteady cavitation behavior in a centrifugal pump","year":2016,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volute; Impeller; Centrifugal pump; Cavitation; Mechanics; Turbulence; Discretization; Specific speed; Flow (mathematics); Engineering; Mechanical engineering; Physics; Mathematics; Mathematical analysis","score_opus":0.009044739699423404,"score_gpt":0.2265460413804353,"score_spread":0.2175013016810119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282870531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856419,0.00008622719,0.013191238,0.000027996859,0.0000070314554,0.0000071383984,0.00000948457,0.00005326314,0.00097569963],"genre_scores_gemma":[0.9994147,0.000018514957,0.00038932555,0.0000023949888,0.0000014097026,0.0000018428085,0.0000048277275,0.0000042952706,0.00016276537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998803,0.000022787372,0.0000045938896,0.000021800506,0.00003787726,0.000032509124],"domain_scores_gemma":[0.999742,0.00013155967,0.000051795134,0.000014854054,0.00004129279,0.000018541326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001565744,0.00017800259,0.00023414788,0.00021236026,0.00030916464,0.00045987236,0.00021233373,0.00022532695,0.0005908501],"category_scores_gemma":[0.0005591987,0.00012400179,0.0002233103,0.00011291038,0.0004975371,0.00025957666,0.00031054832,0.00024154142,0.000084903855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082113536,0.00022960966,0.026796069,0.00017198002,0.000066083005,0.0014529697,0.00045153766,0.47384495,0.4614107,0.0024067154,0.0005299167,0.031818252],"study_design_scores_gemma":[0.000010504374,0.00015405033,0.009814151,0.0000037033847,0.000016376121,0.00009094137,0.00007625027,0.945465,0.043909296,0.0001406341,0.00030122526,0.000017971935],"about_ca_topic_score_codex":0.0023359738,"about_ca_topic_score_gemma":0.0008235847,"teacher_disagreement_score":0.0023359738,"about_ca_system_score_codex":0.00028225625,"about_ca_system_score_gemma":0.0002875479,"threshold_uncertainty_score":0.0046447515},"labels":[],"label_agreement":null},{"id":"W2399107188","doi":"10.1108/ec-06-2015-0166","title":"Parallel computations in nonlinear solid mechanics using adaptive finite element and meshless methods","year":2016,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Numerical methods in engineering","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Finite element method; Meshfree methods; Regularized meshless method; Nonlinear system; Computer science; Solver; Applied mathematics; Computational science; Computation; Solid mechanics; Mathematical optimization; Numerical analysis; Algorithm; Mathematics; Singular boundary method; Structural engineering; Mathematical analysis; Physics; Engineering","score_opus":0.036674233438712296,"score_gpt":0.3322237310020735,"score_spread":0.2955494975633612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399107188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009254353,0.00018104046,0.98696494,0.00006926993,0.00004906562,0.000047138357,0.000025990053,0.00031272724,0.0030954892],"genre_scores_gemma":[0.19375202,0.00042732086,0.8017439,0.0000724235,0.00005248035,0.00022015355,0.000117022064,0.00015390536,0.0034608191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955314,0.000109635344,0.000021963253,0.00004163102,0.00025500098,0.00001869279],"domain_scores_gemma":[0.9994338,0.00021242176,0.00007118503,0.00012797612,0.00012895143,0.000025717343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006080079,0.00051426474,0.0005382295,0.00052389875,0.0004344294,0.000660348,0.00084516656,0.00054164155,0.0020745636],"category_scores_gemma":[0.0014595885,0.00030824696,0.0006523311,0.00058096595,0.00071740564,0.00070521736,0.001077264,0.0007084143,0.0005790248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093426606,0.00010610212,0.0014565986,0.0003042333,0.00007065566,0.00019279846,0.00019655099,0.77523005,0.01989006,0.056614302,0.0015143658,0.14433081],"study_design_scores_gemma":[0.000014787564,0.000022389091,0.00014559395,0.000011273972,0.0000063697516,0.000041057494,0.000009908038,0.98679304,0.002354745,0.007202459,0.0033921492,0.0000063077055],"about_ca_topic_score_codex":0.0012320129,"about_ca_topic_score_gemma":0.001225341,"teacher_disagreement_score":0.0020745636,"about_ca_system_score_codex":0.00033488465,"about_ca_system_score_gemma":0.0006040164,"threshold_uncertainty_score":0.0069401264},"labels":[],"label_agreement":null},{"id":"W2785098350","doi":"10.1108/ec-11-2016-0397","title":"Evaluation of RANS and LES turbulence models for simulating a steady 2-D plane wall jet","year":2018,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Turbulence; Mechanics; Jet (fluid); Reynolds stress; Computational fluid dynamics; Plane (geometry); Physics; Reynolds number; Turbulence kinetic energy; Turbulence modeling; Scaling; Large eddy simulation; Flow (mathematics); Mathematics; Geometry","score_opus":0.026581619700232435,"score_gpt":0.25107382283338175,"score_spread":0.22449220313314933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785098350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7946216,0.0006505929,0.19755073,0.000107184365,0.0000685938,0.00016958019,0.00044602095,0.0012318752,0.0051539075],"genre_scores_gemma":[0.95260304,0.00026434907,0.04570024,0.00001898216,0.000009118134,0.00010182822,0.00032816143,0.000079122656,0.0008953054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995017,0.00014809222,0.00005416898,0.000056383094,0.00019533435,0.000044268014],"domain_scores_gemma":[0.99934906,0.00022394228,0.00010692745,0.000091770846,0.00020230997,0.00002589928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011070078,0.0005862659,0.0005018141,0.0005020586,0.0003126206,0.00091039046,0.000665208,0.0004987353,0.0008395895],"category_scores_gemma":[0.0014082352,0.0002708996,0.0007519786,0.0003384326,0.00029056837,0.00061728153,0.0003249863,0.00035277495,0.00026918566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002764604,0.00017424686,0.01241178,0.00015250305,0.000061660656,0.00018958074,0.00012064491,0.9179653,0.031686686,0.0020439888,0.00035055936,0.034566645],"study_design_scores_gemma":[0.000015525198,0.00014118428,0.0013708214,0.000012587517,0.000011764375,0.000026447084,0.000033155786,0.9886642,0.009211478,0.000094535586,0.00040326492,0.000015080307],"about_ca_topic_score_codex":0.003916944,"about_ca_topic_score_gemma":0.0030566019,"teacher_disagreement_score":0.003916944,"about_ca_system_score_codex":0.00044614455,"about_ca_system_score_gemma":0.00051233283,"threshold_uncertainty_score":0.0077883005},"labels":[],"label_agreement":null},{"id":"W2785300424","doi":"10.1108/ec-11-2016-0390","title":"A coupling method incorporating digital image processing and discrete element method for modeling of geomaterials","year":2018,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care; University of Toronto; University of Waterloo","funders":"","keywords":"Discrete element method; Vectorization (mathematics); Digital image processing; Digital image; Direct shear test; Algorithm; Coupling (piping); Image processing; Computer science; Shear (geology); Image (mathematics); Geology; Engineering; Mechanical engineering; Mechanics; Artificial intelligence; Physics","score_opus":0.017326889622033544,"score_gpt":0.2881236942182311,"score_spread":0.27079680459619754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785300424","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026724888,0.000057397127,0.99597317,0.000025164974,0.00002016332,0.000020289837,0.000019209776,0.00013896525,0.0010731318],"genre_scores_gemma":[0.17398807,0.00034538627,0.8210728,0.00008018261,0.000034494467,0.00018197921,0.00012591515,0.000112071175,0.004059092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978644,0.000032644628,0.00001409741,0.00004512832,0.00011009549,0.000011668487],"domain_scores_gemma":[0.9998491,0.000048513823,0.000017740143,0.00002908511,0.00004436244,0.0000112022135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030977034,0.00047527542,0.0003553065,0.00078124995,0.0002654638,0.0005424548,0.0008337704,0.00065729336,0.0024784284],"category_scores_gemma":[0.0005253114,0.00032992428,0.00060382276,0.00056787074,0.00040547675,0.0007502761,0.0006710367,0.00052273326,0.0006257733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008023135,0.00013124636,0.0026085654,0.0005300934,0.000076319935,0.0002329742,0.00028125165,0.49985972,0.08371492,0.048714112,0.0024532692,0.36131734],"study_design_scores_gemma":[0.000007472917,0.000023450537,0.0002186015,0.0000116122355,0.000011263093,0.000079642494,0.000022553539,0.98606455,0.0056839385,0.0027150721,0.005150204,0.000011521627],"about_ca_topic_score_codex":0.0014903658,"about_ca_topic_score_gemma":0.0016883124,"teacher_disagreement_score":0.0024784284,"about_ca_system_score_codex":0.0003278105,"about_ca_system_score_gemma":0.0005594,"threshold_uncertainty_score":0.008291125},"labels":[],"label_agreement":null},{"id":"W2789647322","doi":"10.1108/ec-12-2016-0438","title":"A multi-block finite difference method for seismic wave equation in auxiliary coordinate system with irregular fluid–solid interface","year":2018,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Coordinate system; Interface (matter); Transformation (genetics); Grid; Finite difference; Finite difference method; Cylindrical coordinate system; Geometry; Mathematical analysis; Computer science; Mathematics; Mechanics; Physics","score_opus":0.022673224389180766,"score_gpt":0.25071263224515233,"score_spread":0.22803940785597157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789647322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006127656,0.00016717637,0.9906764,0.00009177561,0.00008843415,0.000033559863,0.00004102518,0.00011532645,0.0026587236],"genre_scores_gemma":[0.28061154,0.00065946224,0.70649624,0.00014459052,0.00007651454,0.00040067759,0.00036235523,0.00013156093,0.011117049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977356,0.000053205327,0.000014704218,0.00003292953,0.00011001188,0.000015647634],"domain_scores_gemma":[0.9998098,0.000048892445,0.000020430405,0.000020843416,0.00008593282,0.000014176448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003155061,0.00034841156,0.00045812287,0.0003013053,0.00034942795,0.00047149742,0.0009098735,0.0007195152,0.002897792],"category_scores_gemma":[0.0005822986,0.000202211,0.0007067955,0.0003369695,0.0003678307,0.000671737,0.0006737235,0.0008675742,0.00075492734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001256172,0.00014687049,0.0028493088,0.0004959995,0.000056443492,0.0003302324,0.00034599545,0.62127656,0.06922308,0.11569365,0.004363356,0.18509282],"study_design_scores_gemma":[0.000010979858,0.00002388045,0.00012457323,0.000008586359,0.00000468637,0.00003887497,0.000010619951,0.9919369,0.001923756,0.0014498889,0.0044606556,0.0000066351886],"about_ca_topic_score_codex":0.0029492613,"about_ca_topic_score_gemma":0.0026857315,"teacher_disagreement_score":0.0029492613,"about_ca_system_score_codex":0.00036545933,"about_ca_system_score_gemma":0.0009314123,"threshold_uncertainty_score":0.009694099},"labels":[],"label_agreement":null},{"id":"W2811208379","doi":"10.1108/ec-07-2017-0240","title":"Numerical simulation of the anisotropic properties of a columnar jointed rock mass under triaxial compression","year":2018,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care; University of Toronto","funders":"","keywords":"Geological Strength Index; Overburden pressure; Rock mass classification; Anisotropy; Geotechnical engineering; Materials science; Compressive strength; Joint (building); Deformation (meteorology); Elastic modulus; Triaxial shear test; Poisson's ratio; Modulus; Compression (physics); Stress (linguistics); Structural engineering; Computer simulation; Geology; Poisson distribution; Composite material; Mechanics; Mathematics; Engineering; Physics; Optics; Statistics","score_opus":0.021638427758078792,"score_gpt":0.22459561443711054,"score_spread":0.20295718667903176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811208379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89305085,0.00030607733,0.09214744,0.00017625312,0.000042421987,0.00007002245,0.00036090615,0.00034219638,0.013503812],"genre_scores_gemma":[0.98655707,0.00011873915,0.012077822,0.00001229446,0.0000033495285,0.000038736463,0.000094909,0.00001956829,0.0010775599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998779,0.00001919648,0.0000080389145,0.000016435208,0.000056128833,0.00002228016],"domain_scores_gemma":[0.99971336,0.000103110324,0.000068589274,0.000036881847,0.00006063416,0.000017295706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022063623,0.0002891865,0.00023411975,0.00043416215,0.00029671626,0.0004216997,0.00043038806,0.0005411457,0.001254861],"category_scores_gemma":[0.00069689046,0.00016961117,0.00027249215,0.0004259351,0.00046125025,0.00027193932,0.0002655623,0.00019870586,0.00015541301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005709604,0.000036367674,0.0034744416,0.00006649973,0.0000158156,0.00019234186,0.00007674391,0.97118753,0.01797174,0.0012720692,0.00017147748,0.00547785],"study_design_scores_gemma":[0.0000041724916,0.000020814305,0.00094766443,0.0000035948894,0.0000037827558,0.00002514111,0.000017464881,0.99695396,0.0017062873,0.0001084307,0.00020471736,0.0000039684737],"about_ca_topic_score_codex":0.0067275125,"about_ca_topic_score_gemma":0.005233834,"teacher_disagreement_score":0.0067275125,"about_ca_system_score_codex":0.0002796353,"about_ca_system_score_gemma":0.00046726406,"threshold_uncertainty_score":0.013376713},"labels":[],"label_agreement":null},{"id":"W2897099175","doi":"10.1108/ec-11-2017-0459","title":"Influence of velocity head on filling transients in a branched pipeline","year":2018,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HydraTek (Canada); University of Toronto","funders":"","keywords":"Hydraulic head; Mechanics; Head (geology); Pipeline (software); Overpressure; Flow velocity; Flow (mathematics); Energy (signal processing); Geology; Engineering; Geotechnical engineering; Physics; Mechanical engineering; Thermodynamics","score_opus":0.008846345117607972,"score_gpt":0.21494769161325739,"score_spread":0.2061013464956494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897099175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97085786,0.00010891303,0.027617522,0.000048560454,0.00001052057,0.000008401604,0.00002323355,0.00011296912,0.0012120852],"genre_scores_gemma":[0.99911076,0.000025730982,0.00067628577,0.0000029608934,7.992518e-7,0.0000018888876,0.0000070524,0.000004985254,0.00016953483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998988,0.000018464012,0.000005302079,0.000015685275,0.000033964337,0.000027855403],"domain_scores_gemma":[0.9995303,0.0002947582,0.000088909714,0.000019132462,0.000045139226,0.000021822949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001979823,0.00020945148,0.00022234829,0.00022483314,0.00025175,0.0003278074,0.00019418038,0.000286318,0.00071151304],"category_scores_gemma":[0.0010047312,0.0001096714,0.00019774081,0.00018020817,0.00049314107,0.00035882025,0.0003003356,0.00022951765,0.00005557223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005329263,0.00010186195,0.014563266,0.00019593777,0.000021536276,0.0011218052,0.00032858417,0.7028835,0.24905369,0.0026826088,0.00022346749,0.028290793],"study_design_scores_gemma":[0.000009390941,0.00027199896,0.006322998,0.000011144831,0.000015976175,0.00010794048,0.000110127694,0.9112685,0.08101637,0.00051495695,0.00033268053,0.00001800048],"about_ca_topic_score_codex":0.0023982818,"about_ca_topic_score_gemma":0.0013092346,"teacher_disagreement_score":0.0023982818,"about_ca_system_score_codex":0.00036837926,"about_ca_system_score_gemma":0.00036217846,"threshold_uncertainty_score":0.00476861},"labels":[],"label_agreement":null},{"id":"W2948541161","doi":"10.1108/ec-06-2018-0285","title":"Robust stabilization for discrete-time Takagi-Sugeno fuzzy system based on N4SID models","year":2019,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Control Systems and Identification","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Nonlinear system; Mathematics; Linearization; System identification; Lyapunov function; State space; Fuzzy control system; Subspace topology; Stability (learning theory); State-space representation; Nonlinear system identification; Fuzzy logic; Computer science; Mathematical optimization; Algorithm; Data modeling; Artificial intelligence; Control (management)","score_opus":0.010375451528648315,"score_gpt":0.18098166130808369,"score_spread":0.17060620977943536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948541161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045319054,0.00023088432,0.9502198,0.00009681113,0.00004024688,0.00003914889,0.000034570727,0.000260645,0.0037588167],"genre_scores_gemma":[0.9494849,0.00017314611,0.048281282,0.000019349722,0.000013165297,0.00010779427,0.00005934656,0.00001267776,0.001848318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967456,0.000081729035,0.000024959227,0.00007062261,0.00012425093,0.000023878918],"domain_scores_gemma":[0.99972266,0.00008907136,0.00006960636,0.00003023953,0.00007897716,0.000009368724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049451884,0.0003920502,0.0004884753,0.00030481897,0.00036900153,0.00059085316,0.00052944315,0.00039332258,0.0010559029],"category_scores_gemma":[0.0008988822,0.00021503797,0.00055034534,0.0002223379,0.0005063733,0.00043446955,0.00051799725,0.0005224297,0.00017878522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012366533,0.000033884106,0.001062062,0.00019003518,0.000061556224,0.000107355445,0.00020053674,0.92947584,0.01614349,0.014445194,0.0003182137,0.037838127],"study_design_scores_gemma":[0.0000037270938,0.000029500769,0.00010616272,0.000005497807,0.0000046173686,0.00000854725,0.000006122914,0.99768054,0.0010876781,0.0006932626,0.00037114587,0.0000031740976],"about_ca_topic_score_codex":0.0046050344,"about_ca_topic_score_gemma":0.00315323,"teacher_disagreement_score":0.0046050344,"about_ca_system_score_codex":0.0005719134,"about_ca_system_score_gemma":0.00061101845,"threshold_uncertainty_score":0.0091564655},"labels":[],"label_agreement":null},{"id":"W2949019267","doi":"10.1108/ec-10-2018-0483","title":"Innovative seismic resistant structure of shield building with base isolation and tuned-mass-damping for AP1000 nuclear power plants","year":2019,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Base isolation; Tuned mass damper; Structural engineering; Nuclear power; Shield; Nuclear power plant; Dissipation; Parametric statistics; Engineering; Seismic isolation; Seismic analysis; Vibration control; Vibration; Damper; Mechanical engineering; Geology; Acoustics; Physics","score_opus":0.0038643501698374725,"score_gpt":0.19194351529263184,"score_spread":0.18807916512279438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949019267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5263961,0.00061783293,0.45227093,0.00027626747,0.000095382835,0.00013606643,0.00022693706,0.0011305036,0.018850077],"genre_scores_gemma":[0.9599172,0.00012208591,0.037445143,0.000041246083,0.0000082839915,0.000059793896,0.00008430594,0.000022503731,0.002299425],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998456,0.00002137142,0.00000682673,0.000029529623,0.00007778713,0.000018804463],"domain_scores_gemma":[0.999892,0.00000894739,0.000039007944,0.000016689784,0.000024345894,0.000019093317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012345331,0.0005791327,0.0002264277,0.00035562756,0.00020968007,0.00029177897,0.0007450989,0.0005075594,0.0016549511],"category_scores_gemma":[0.00016362782,0.00020064552,0.00028461372,0.00012633778,0.0002527348,0.00023753244,0.00052171736,0.0002774976,0.00047844704],"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":[0.00047812556,0.00015342691,0.0044330377,0.0005564823,0.00006833217,0.0010855858,0.00025279625,0.14532536,0.72636086,0.004567572,0.0018046009,0.11491384],"study_design_scores_gemma":[0.00032248808,0.004615998,0.025740594,0.00017193294,0.00032939363,0.0023429343,0.0003558973,0.6739282,0.25100172,0.003371137,0.03767505,0.00014458378],"about_ca_topic_score_codex":0.0004229949,"about_ca_topic_score_gemma":0.00055584963,"teacher_disagreement_score":0.0016549511,"about_ca_system_score_codex":0.00023980436,"about_ca_system_score_gemma":0.00030739763,"threshold_uncertainty_score":0.0055363774},"labels":[],"label_agreement":null},{"id":"W2949064021","doi":"10.1108/ec-11-2018-0516","title":"A comparison investigation of the contact models for contact and vibration features of cylindrical roller bearings","year":2019,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Raceway; Contact mechanics; Structural engineering; Vibration; Stiffness; Deformation (meteorology); Contact force; Contact area; Engineering; Contact region; Displacement (psychology); Mechanics; Contact analysis; Finite element method; Materials science; Acoustics; Composite material; Physics; Classical mechanics","score_opus":0.010396885839376481,"score_gpt":0.21912890468486093,"score_spread":0.20873201884548445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949064021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6911449,0.0006816008,0.29856023,0.000076236036,0.000041674622,0.00010471835,0.00019319428,0.0004669418,0.008730547],"genre_scores_gemma":[0.9952219,0.000079611884,0.0039132573,0.0000032555006,0.000004086386,0.000017121947,0.00005937998,0.000012653162,0.00068883563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997062,0.00004983477,0.000014864746,0.000045841036,0.00015721134,0.000025971569],"domain_scores_gemma":[0.9994093,0.00029132894,0.000072101124,0.00006672214,0.00014268783,0.000017878987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033917968,0.00047695145,0.00040314937,0.0006136552,0.00023374193,0.00044669694,0.0006779139,0.0005360896,0.0019793503],"category_scores_gemma":[0.0013146801,0.00015349798,0.0005472873,0.00028100878,0.00029866604,0.0006826359,0.00027811978,0.00022262534,0.0002906127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041219275,0.00021117394,0.013573439,0.0005004585,0.000050826755,0.00058083667,0.00064727594,0.78335756,0.073387206,0.006555842,0.0010736337,0.119649604],"study_design_scores_gemma":[0.000005549997,0.00017213005,0.00359921,0.000010023606,0.000010143395,0.00011852889,0.00008930416,0.9907032,0.0042463327,0.0003659294,0.000668885,0.000010812921],"about_ca_topic_score_codex":0.0028862443,"about_ca_topic_score_gemma":0.0022109298,"teacher_disagreement_score":0.0028862443,"about_ca_system_score_codex":0.00027249995,"about_ca_system_score_gemma":0.00027329818,"threshold_uncertainty_score":0.006621599},"labels":[],"label_agreement":null},{"id":"W2983933840","doi":"10.1108/ec-04-2019-0146","title":"A sequential sampling method for adaptive metamodeling using data with highly nonlinear relation between input and output parameters","year":2019,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Metamodeling; Latin hypercube sampling; Kriging; Adaptive sampling; Sampling (signal processing); Nonlinear system; Relation (database); Input/output; Computer science; Mathematical optimization; Algorithm; Mathematics; Data mining; Monte Carlo method; Machine learning; Statistics","score_opus":0.08569164701266536,"score_gpt":0.3310697766606284,"score_spread":0.24537812964796307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983933840","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050875074,0.000034423156,0.9944376,0.000017528571,0.000007772192,0.000033722696,0.00002203208,0.00009805711,0.0002613196],"genre_scores_gemma":[0.25578183,0.0001602347,0.7421593,0.000052172716,0.00002742945,0.00043211743,0.00026991902,0.00008512483,0.0010318792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989575,0.00048037464,0.00006322085,0.00016241793,0.00029807037,0.000038360307],"domain_scores_gemma":[0.9982784,0.0009838165,0.00015005236,0.00018307118,0.00036277698,0.000041930853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021728552,0.000709309,0.00070461846,0.0008287636,0.0004886954,0.00045916848,0.00090056506,0.0005060958,0.0018113004],"category_scores_gemma":[0.0043627424,0.00036673603,0.00084512105,0.0007657777,0.00047548793,0.00083016406,0.0007652649,0.00075362175,0.0002736708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021347331,0.00013964438,0.004818203,0.0002729389,0.000120258206,0.00011880424,0.00025687768,0.763353,0.015181482,0.016297944,0.0009476146,0.19827977],"study_design_scores_gemma":[0.000013566742,0.00007408225,0.00033774512,0.000010839688,0.000010782497,0.000030945994,0.000017564525,0.99295205,0.0025313473,0.0029773249,0.0010332083,0.000010556655],"about_ca_topic_score_codex":0.003910616,"about_ca_topic_score_gemma":0.0041461727,"teacher_disagreement_score":0.003910616,"about_ca_system_score_codex":0.00045631203,"about_ca_system_score_gemma":0.0009798066,"threshold_uncertainty_score":0.011491299},"labels":[],"label_agreement":null},{"id":"W3011009918","doi":"10.1108/ec-02-2019-0062","title":"Finite element implementation of viscoelastic and viscoplastic models","year":2020,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Viscoplasticity; Viscoelasticity; Constitutive equation; Finite element method; Material properties; Nonlinear system; Materials science; Stress (linguistics); Structural engineering; Mechanics; Applied mathematics; Mathematics; Engineering; Physics; Composite material","score_opus":0.014815562975317404,"score_gpt":0.2223413729585012,"score_spread":0.2075258099831838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011009918","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003912332,0.00003474631,0.99146116,0.000038097212,0.000022421627,0.00003805799,0.000065628,0.00053287105,0.003894666],"genre_scores_gemma":[0.17445946,0.00021860679,0.8125859,0.00007042725,0.000019700465,0.000343023,0.00034778164,0.00031910374,0.011636002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997271,0.000056280616,0.000025178842,0.00003609194,0.00013751975,0.000017837949],"domain_scores_gemma":[0.99963844,0.00014248241,0.000028112267,0.00006971003,0.00010928152,0.000011995904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000417503,0.00052359275,0.00037316434,0.00036541303,0.00026490932,0.0006189187,0.0013561537,0.0009994511,0.0060370206],"category_scores_gemma":[0.0012338179,0.00041030778,0.0006037879,0.00022774583,0.00032394042,0.00076595554,0.00054830674,0.00075980957,0.0020651715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000636579,0.00015377844,0.0010282504,0.00022063173,0.000039562558,0.00015016875,0.00021903816,0.79430157,0.032835755,0.05319093,0.001795616,0.11600099],"study_design_scores_gemma":[0.0000057800044,0.000023948955,0.00009185337,0.000018945615,0.0000047907456,0.00004805473,0.000012857666,0.98437035,0.004047452,0.002651339,0.008717387,0.0000072173343],"about_ca_topic_score_codex":0.0011974473,"about_ca_topic_score_gemma":0.0015000827,"teacher_disagreement_score":0.0060370206,"about_ca_system_score_codex":0.00024447814,"about_ca_system_score_gemma":0.00047592507,"threshold_uncertainty_score":0.020195842},"labels":[],"label_agreement":null},{"id":"W3013204269","doi":"10.1108/ec-03-2019-0123","title":"Numerical Brazilian split test of pre-cracked granite with randomly distributed micro-components","year":2020,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anisotropy; Materials science; Deformation (meteorology); Computer simulation; Stress (linguistics); Ultimate tensile strength; Structural engineering; Composite material; Geology; Mechanics; Engineering; Optics","score_opus":0.008024619380600393,"score_gpt":0.1934187666958956,"score_spread":0.18539414731529522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013204269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850456,0.00006226181,0.012694638,0.000021185633,0.000009507658,0.00003260041,0.00015904417,0.00011198587,0.0018631812],"genre_scores_gemma":[0.9948003,0.000018100061,0.0044238414,0.0000049907017,6.037572e-7,0.000016688922,0.00009934879,0.000014429952,0.0006216262],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964976,0.000035309706,0.000020302296,0.00007827505,0.0001789845,0.00003742392],"domain_scores_gemma":[0.99921966,0.00022350259,0.00012787635,0.00015208374,0.00021604475,0.000060678474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052911724,0.00035840776,0.0002245979,0.00055114954,0.00026043065,0.00026889888,0.00050766027,0.00036710384,0.0022229361],"category_scores_gemma":[0.0012460806,0.00018552659,0.0003132029,0.00032640685,0.0005812847,0.00022232243,0.00036693463,0.00020231049,0.0002600954],"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":[0.0016486922,0.00027277984,0.0607162,0.00033374003,0.00007727583,0.0010678917,0.00067294587,0.06261743,0.8315755,0.0032006656,0.0005074704,0.037309397],"study_design_scores_gemma":[0.00009532253,0.0027753315,0.1191996,0.00006347113,0.000119408774,0.0012247952,0.0009820889,0.34865162,0.52043355,0.0014746008,0.004916262,0.00006395357],"about_ca_topic_score_codex":0.003233528,"about_ca_topic_score_gemma":0.0066750273,"teacher_disagreement_score":0.003233528,"about_ca_system_score_codex":0.00033686127,"about_ca_system_score_gemma":0.0002773069,"threshold_uncertainty_score":0.0074364543},"labels":[],"label_agreement":null},{"id":"W3123181069","doi":"10.1108/ec-05-2020-0248","title":"Slope stability analysis considering the rotated anisotropy in soil properties","year":2021,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anisotropy; Perpendicular; Slope stability; Random field; Slip (aerodynamics); Stability (learning theory); Geometry; Slope stability analysis; Orientation (vector space); Mathematics; Geotechnical engineering; Geology; Engineering; Physics; Computer science; Optics; Statistics","score_opus":0.01407577337255164,"score_gpt":0.19448405020841766,"score_spread":0.18040827683586602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123181069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74104714,0.00033449754,0.25360388,0.00010205773,0.000021127049,0.000027574477,0.00014438061,0.00022333529,0.0044959765],"genre_scores_gemma":[0.996429,0.00006437577,0.0029468443,0.000004785148,0.00000495825,0.0000055861524,0.00004295964,0.000015497406,0.000485928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997396,0.000045413086,0.000011961098,0.000065774366,0.00010112809,0.000036070986],"domain_scores_gemma":[0.99936074,0.00014942721,0.00022121114,0.00007343455,0.00016899218,0.000026115189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030358406,0.00040678747,0.0003362545,0.0009776768,0.00026276064,0.0005416865,0.00028552857,0.00033675676,0.00068557926],"category_scores_gemma":[0.0013307584,0.00020293296,0.00048255065,0.00048692865,0.00043647396,0.00045602524,0.00030494717,0.00024223723,0.00015313135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001653521,0.000031276304,0.024259256,0.00007144955,0.000064751956,0.00062884873,0.00008891981,0.88935775,0.055166785,0.0063765217,0.0002997197,0.023489371],"study_design_scores_gemma":[0.0000028691393,0.00001656239,0.0055453917,0.000004013392,0.000012424546,0.000096074815,0.000024891704,0.9893031,0.0036869673,0.0010675727,0.00022980165,0.000010376812],"about_ca_topic_score_codex":0.0063675214,"about_ca_topic_score_gemma":0.002845459,"teacher_disagreement_score":0.0063675214,"about_ca_system_score_codex":0.0004161399,"about_ca_system_score_gemma":0.0004307215,"threshold_uncertainty_score":0.012660921},"labels":[],"label_agreement":null},{"id":"W3178302455","doi":"10.1108/ec-02-2021-0096","title":"An explainable prediction framework for engineering problems: case studies in reinforced concrete members modeling","year":2021,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Generalizability theory; Benchmark (surveying); Machine learning; Computer science; Reinforcement learning; Artificial intelligence; Probabilistic logic; Scalability; Engineering design process; Process (computing); Variety (cybernetics); Pipeline (software); Industrial engineering; Engineering; Mathematics","score_opus":0.04201728188945038,"score_gpt":0.3242465077013955,"score_spread":0.28222922581194515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178302455","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10241357,0.00032260345,0.8933123,0.0008521016,0.00001550512,0.000099949786,0.00016947978,0.00012851568,0.0026860223],"genre_scores_gemma":[0.8013899,0.0002704492,0.19660814,0.000056599336,0.00003208536,0.00014403694,0.00023120857,0.000022030337,0.0012455804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991517,0.0004678766,0.000038955764,0.0001321345,0.00017005444,0.00003918462],"domain_scores_gemma":[0.99594516,0.0032385169,0.00026770253,0.00024107765,0.0002459197,0.00006163185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024857856,0.0005127388,0.0004400927,0.0009814453,0.00047801877,0.00096804,0.0013322269,0.0012210192,0.0020760184],"category_scores_gemma":[0.006634205,0.00026097873,0.0007684277,0.00068891986,0.0011430276,0.0016585381,0.0012642937,0.0013501606,0.00011320956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004183056,0.00010830524,0.0049099782,0.00007910952,0.000036545927,0.00037407043,0.00044682113,0.84483635,0.00087187235,0.10774539,0.00064090115,0.03990879],"study_design_scores_gemma":[0.0000040843197,0.000016192804,0.00041342006,0.0000101695505,0.0000062515146,0.000026278527,0.00006353417,0.96999365,0.00025893762,0.028612055,0.0005897213,0.0000058088262],"about_ca_topic_score_codex":0.0056113186,"about_ca_topic_score_gemma":0.006404464,"teacher_disagreement_score":0.0056113186,"about_ca_system_score_codex":0.0009343125,"about_ca_system_score_gemma":0.00088241376,"threshold_uncertainty_score":0.013146222},"labels":[],"label_agreement":null},{"id":"W3179582944","doi":"10.1108/ec-01-2021-0052","title":"Revisiting non-convexity in topology optimization of compliance minimization problems","year":2021,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Continuation; Minification; Convexity; Context (archaeology); Convergence (economics); Topology optimization; Domain (mathematical analysis); Focus (optics)","score_opus":0.01433559229478422,"score_gpt":0.2357596135516982,"score_spread":0.22142402125691396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179582944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01016189,0.0019994848,0.9634101,0.002561906,0.00030097042,0.000058342273,0.000054958076,0.00008178872,0.021370554],"genre_scores_gemma":[0.5628052,0.009797034,0.39729062,0.0020793674,0.0016508264,0.00034045844,0.00021697623,0.00096832414,0.024851285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977654,0.001135385,0.00010928521,0.00024041475,0.00062575215,0.00012370817],"domain_scores_gemma":[0.99432594,0.0040735696,0.0003560994,0.0004357129,0.00071280217,0.000095859126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041777445,0.0013353849,0.0012087339,0.0011956408,0.0009588594,0.003491775,0.0012799534,0.001379712,0.0033008594],"category_scores_gemma":[0.010236991,0.0006421666,0.0016228156,0.0007571464,0.003724374,0.0032604404,0.002851475,0.0036921024,0.0007666949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004872216,0.000043600565,0.00086235645,0.0004479642,0.00005642876,0.0005161364,0.00041493025,0.20336361,0.0035821502,0.7411567,0.0040133717,0.045494076],"study_design_scores_gemma":[0.000010071089,0.000075447715,0.00074083323,0.00030566877,0.000028828284,0.00031472603,0.0001695003,0.6374061,0.0027707873,0.33835387,0.019780021,0.000044098797],"about_ca_topic_score_codex":0.0022003204,"about_ca_topic_score_gemma":0.001705039,"teacher_disagreement_score":0.0041777445,"about_ca_system_score_codex":0.00114512,"about_ca_system_score_gemma":0.0014695947,"threshold_uncertainty_score":0.02209431},"labels":[],"label_agreement":null},{"id":"W3180256654","doi":"10.1108/ec-12-2020-0705","title":"A numerical modelling investigation of the development of a human cough jet","year":2021,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mechanics; Turbulence; Particle image velocimetry; Jet (fluid); Large eddy simulation; Physics; Turbulence kinetic energy; Computer simulation; Detached eddy simulation; Reynolds-averaged Navier–Stokes equations","score_opus":0.01965078112326635,"score_gpt":0.2155095125230878,"score_spread":0.19585873139982146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180256654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69530755,0.0014530525,0.28232348,0.00036054378,0.00018256961,0.0002942799,0.00035434394,0.00037270493,0.019351482],"genre_scores_gemma":[0.97040355,0.0003966632,0.025806164,0.00004451185,0.000027642465,0.00010060456,0.000101425714,0.000019325176,0.0031001568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985504,0.00003318433,0.000011470385,0.000029557512,0.000051548235,0.000019264831],"domain_scores_gemma":[0.9997334,0.00011845706,0.000053137373,0.00003075091,0.000048029975,0.00001625598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024364436,0.00026691396,0.00030487013,0.00023061092,0.0002872446,0.0006175152,0.00033882825,0.0005962256,0.00110816],"category_scores_gemma":[0.0009828873,0.00013980154,0.000409843,0.00017430268,0.00046065816,0.0004426816,0.00038315332,0.00023220257,0.00019516789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024110975,0.00018252256,0.010285566,0.00038318677,0.0000391829,0.00093785865,0.00031798973,0.87537396,0.07516821,0.0061137294,0.0007160817,0.030240621],"study_design_scores_gemma":[0.000010612033,0.000116319694,0.0022322724,0.000020067817,0.000008674258,0.00013791364,0.00004802771,0.9923408,0.0037897183,0.0003905448,0.0008924931,0.000012445426],"about_ca_topic_score_codex":0.0019185854,"about_ca_topic_score_gemma":0.00096411066,"teacher_disagreement_score":0.0019185854,"about_ca_system_score_codex":0.00026559748,"about_ca_system_score_gemma":0.0005359131,"threshold_uncertainty_score":0.003814876},"labels":[],"label_agreement":null},{"id":"W3202783647","doi":"10.1108/ec-12-2020-0748","title":"Innovation structure combining inter-story isolation with passive cooling effect for AP1000 nuclear power plants","year":2021,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Robustness (evolution); Nuclear power; Engineering; Nuclear power plant; Seismic analysis; Structural engineering; Reliability engineering","score_opus":0.003719951247088825,"score_gpt":0.19533477564658963,"score_spread":0.1916148243995008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202783647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49030647,0.00025836925,0.47988042,0.00020350698,0.0001010162,0.00012826372,0.00012885308,0.0008522568,0.028140903],"genre_scores_gemma":[0.97333443,0.000059950402,0.023497876,0.000029977648,0.00001268231,0.000056277495,0.0000846401,0.000024703942,0.0028995082],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996939,0.00004547593,0.000012608992,0.00005925339,0.00013690958,0.000051828367],"domain_scores_gemma":[0.9997831,0.000024892212,0.000049090828,0.000028807424,0.000075914824,0.0000382435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002373244,0.00058784627,0.00031538037,0.0004457909,0.00043682568,0.0003723023,0.00065096596,0.00044659627,0.0033679232],"category_scores_gemma":[0.00036235162,0.00018918111,0.0004251674,0.00019218883,0.0004132907,0.00040178138,0.0008988014,0.00038552514,0.0006835333],"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":[0.0010078457,0.000296068,0.011135388,0.00061008934,0.000104899416,0.001156803,0.0004605446,0.35512826,0.47550032,0.011018241,0.0025675248,0.14101401],"study_design_scores_gemma":[0.00028785577,0.005523453,0.025138602,0.00010322726,0.00036291944,0.0013349935,0.0005359849,0.74641836,0.18534568,0.0067907604,0.028042084,0.00011607526],"about_ca_topic_score_codex":0.0007244225,"about_ca_topic_score_gemma":0.00083235785,"teacher_disagreement_score":0.0033679232,"about_ca_system_score_codex":0.00030161944,"about_ca_system_score_gemma":0.00059661386,"threshold_uncertainty_score":0.011266828},"labels":[],"label_agreement":null},{"id":"W3204410243","doi":"10.1108/ec-06-2021-0318","title":"Topological derivatives via one-sided derivative of parametrized minima and minimax","year":2021,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Bounded function; Maxima and minima; Mathematics; Generalizations of the derivative; Euclidean space; Fréchet derivative; Derivative (finance); Minimax; Applied mathematics; Topology (electrical circuits); Mathematical optimization; Second derivative; Mathematical analysis; Banach space; Combinatorics","score_opus":0.10207347327412594,"score_gpt":0.3324775140468712,"score_spread":0.23040404077274526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204410243","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025647854,0.0004025574,0.96045697,0.0004838089,0.00009561997,0.000032966178,0.00006254247,0.00007317432,0.012744473],"genre_scores_gemma":[0.7178039,0.0007992265,0.2681302,0.00034703853,0.000145015,0.00017629945,0.000109402325,0.00022578565,0.012263089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913293,0.000295346,0.00006862977,0.00018251443,0.00026755958,0.000053123793],"domain_scores_gemma":[0.9982389,0.0008448298,0.0002790013,0.00024532972,0.00027931467,0.000112607886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026836682,0.0006432572,0.0006766423,0.00183572,0.0006096767,0.0022768886,0.0010391234,0.0009745005,0.0038438584],"category_scores_gemma":[0.0071925516,0.00033345804,0.001089758,0.0007675198,0.0033122068,0.0037833685,0.0021927424,0.0023173874,0.0004887953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000107695905,0.000008945682,0.00024068574,0.00003737295,0.000007832257,0.00008698923,0.00009326905,0.01426718,0.0015431907,0.97708434,0.0003202193,0.0062991874],"study_design_scores_gemma":[0.0000076138676,0.00006431297,0.000301161,0.00003669723,0.000009101568,0.00020651914,0.000068248286,0.19344485,0.0019825646,0.8000812,0.0037752897,0.000022481827],"about_ca_topic_score_codex":0.00053673587,"about_ca_topic_score_gemma":0.000500421,"teacher_disagreement_score":0.0038438584,"about_ca_system_score_codex":0.0012527884,"about_ca_system_score_gemma":0.00072911166,"threshold_uncertainty_score":0.01419276},"labels":[],"label_agreement":null},{"id":"W4224244161","doi":"10.1108/ec-07-2021-0421","title":"Multi-material topology optimization considering natural frequency constraint","year":2022,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Motors (Canada); Queen's University","funders":"","keywords":"Solver; Computer science; Topology optimization; Finite element method; Mathematical optimization; Natural frequency; Constraint (computer-aided design); Algorithm; Topology (electrical circuits); Mathematics; Engineering; Vibration","score_opus":0.00787945329148787,"score_gpt":0.2133505592296018,"score_spread":0.20547110593811393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224244161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015535236,0.00017076117,0.97240585,0.0000902249,0.000037163863,0.00003654762,0.000040311264,0.00025660679,0.0114273215],"genre_scores_gemma":[0.38091505,0.0003008586,0.608856,0.00009610508,0.00003308995,0.0002214507,0.00013291865,0.00030838506,0.009136176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999775,0.00004228584,0.000007197115,0.000035292414,0.00012055205,0.000019764011],"domain_scores_gemma":[0.99969685,0.00013155649,0.000049078164,0.000044493714,0.00006202346,0.000016044185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037760785,0.00045865355,0.000531181,0.0004764373,0.00040995827,0.00074341695,0.00073427334,0.00072333904,0.0036103723],"category_scores_gemma":[0.0008756037,0.00029188415,0.00049984036,0.00026452294,0.00046747617,0.00082306645,0.000682944,0.0005011781,0.0007390199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025725598,0.000039782808,0.000606511,0.0001649488,0.00001872209,0.00015470773,0.00005818007,0.9008082,0.015981099,0.025907965,0.0013117258,0.054922406],"study_design_scores_gemma":[0.000004304864,0.00002226084,0.00012288312,0.000010842033,0.000004501711,0.00007920579,0.000015542362,0.98791933,0.002167369,0.005685415,0.003962536,0.0000059203676],"about_ca_topic_score_codex":0.0008749027,"about_ca_topic_score_gemma":0.001548001,"teacher_disagreement_score":0.0036103723,"about_ca_system_score_codex":0.00038575713,"about_ca_system_score_gemma":0.00075706816,"threshold_uncertainty_score":0.012077928},"labels":[],"label_agreement":null},{"id":"W4404070321","doi":"10.1108/ec-01-2024-0046","title":"A multi-objective constraint programming approach to address clustering problems in mine planning","year":2024,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cluster analysis; Constraint programming; Constraint (computer-aided design); Computer science; Operations research; Mathematical optimization; Data mining; Engineering; Mathematics; Artificial intelligence; Stochastic programming","score_opus":0.02855626824390764,"score_gpt":0.2556552012439768,"score_spread":0.22709893300006914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404070321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005183685,0.00062370155,0.9865689,0.000540097,0.000058564416,0.00026384607,0.00026479107,0.000121337056,0.006375115],"genre_scores_gemma":[0.12567936,0.00091213436,0.86865455,0.00030483786,0.000053202064,0.0009167957,0.00034379744,0.000118917036,0.0030164863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785846,0.0010306551,0.000114084476,0.00027529162,0.00056740525,0.00015412447],"domain_scores_gemma":[0.99655885,0.0022995642,0.00031650852,0.000118334334,0.0005673568,0.00013941024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034306406,0.0017166465,0.0011004768,0.0019413806,0.0008781265,0.0024956365,0.0024113469,0.0016434682,0.0061449665],"category_scores_gemma":[0.0053070174,0.0009131217,0.0020210114,0.0036173745,0.0007623418,0.001780838,0.0015535769,0.0027246366,0.0005610013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019588713,0.00006992039,0.00028574036,0.00027927113,0.00007698574,0.000084994856,0.000056743425,0.9565558,0.0005359375,0.01731153,0.0013920742,0.023331378],"study_design_scores_gemma":[0.000011401782,0.000032837586,0.00010625325,0.00006936525,0.000025833035,0.000034742134,0.00003846399,0.98763335,0.00041111902,0.008961263,0.0026624638,0.00001291772],"about_ca_topic_score_codex":0.01410901,"about_ca_topic_score_gemma":0.019003812,"teacher_disagreement_score":0.01410901,"about_ca_system_score_codex":0.0023026965,"about_ca_system_score_gemma":0.0047139353,"threshold_uncertainty_score":0.02805376},"labels":[],"label_agreement":null},{"id":"W4408895409","doi":"10.1108/ec-03-2024-0183","title":"Modal analysis and calibration of finite element model of a three-story steel frame using machine learning and physics-based techniques","year":2025,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Finite element method; Modal; Calibration; Frame (networking); Modal analysis; Element (criminal law); Computer science; Mechanical engineering; Engineering; Artificial intelligence; Physics; Structural engineering; Materials science","score_opus":0.015419983118338431,"score_gpt":0.27618506349390354,"score_spread":0.2607650803755651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408895409","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062162265,0.0000926109,0.9335063,0.00005280233,0.000023928143,0.000050884704,0.00013989923,0.0011106633,0.002860629],"genre_scores_gemma":[0.82452035,0.00016026633,0.1713327,0.000035933164,0.000012330675,0.00016939706,0.00047214472,0.00014957807,0.0031473164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997904,0.00003857031,0.000011079113,0.000041758853,0.00010410141,0.000014163794],"domain_scores_gemma":[0.9997484,0.000092274575,0.00003478531,0.000050030023,0.00006774073,0.000006818363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038861454,0.0004296344,0.00033761456,0.00065661216,0.00026960997,0.00039708853,0.00064704265,0.00074671005,0.002931928],"category_scores_gemma":[0.00085688557,0.00027745447,0.00052364665,0.0002759968,0.0002933927,0.0004647882,0.00028424332,0.00034252895,0.00081662013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073550866,0.00006964733,0.0025946992,0.00019047085,0.000036932805,0.00013408482,0.00019272525,0.83437836,0.062750146,0.003047214,0.0007679248,0.09576422],"study_design_scores_gemma":[0.0000030666915,0.000028344322,0.0011497606,0.000011910716,0.0000066063326,0.000054097094,0.000027889002,0.9900259,0.006644056,0.00047939253,0.001559282,0.000009795105],"about_ca_topic_score_codex":0.0019264136,"about_ca_topic_score_gemma":0.002091749,"teacher_disagreement_score":0.002931928,"about_ca_system_score_codex":0.00026042893,"about_ca_system_score_gemma":0.00037461505,"threshold_uncertainty_score":0.009808242},"labels":[],"label_agreement":null},{"id":"W4413989084","doi":"10.1108/ec-04-2025-0324","title":"Solutions of nonlinear Murray equation for blood flow in vessels by Laplace-residual power series","year":2025,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Laplace transform; Series (stratigraphy); Power series; Nonlinear system; Residual; Laplace's equation; Mathematics; Power (physics); Mathematical analysis; Calculus (dental); Physics; Geology; Partial differential equation; Thermodynamics; Medicine; Algorithm","score_opus":0.027261039684759646,"score_gpt":0.28851752258380775,"score_spread":0.2612564828990481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413989084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016337467,0.0005796744,0.9759123,0.00030814268,0.00010757908,0.00003550079,0.0000352622,0.00012835856,0.006555805],"genre_scores_gemma":[0.6189744,0.0020649948,0.36016512,0.00027025992,0.00025527563,0.0002578194,0.00013188686,0.0002241277,0.017656129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983144,0.000055556244,0.000008484433,0.000025090525,0.00006692568,0.000012488603],"domain_scores_gemma":[0.9997377,0.00013694915,0.00003945478,0.000020236113,0.000055764413,0.000009960939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005472766,0.0005393711,0.00042133423,0.00050146336,0.0002792293,0.0006352521,0.00073319196,0.0008949413,0.0022217245],"category_scores_gemma":[0.0014444737,0.00021217809,0.0007189216,0.00035153795,0.00075059925,0.00094611105,0.0006088252,0.00075463287,0.00043270446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006486952,0.00005877868,0.0014454564,0.00046343688,0.000041673495,0.00059088203,0.00030510753,0.6984205,0.02634302,0.17676169,0.003032935,0.0924716],"study_design_scores_gemma":[0.000004323725,0.000013886339,0.00007852979,0.00001099093,0.00000363355,0.00006401504,0.00001697149,0.9880723,0.0012762257,0.008408338,0.0020442542,0.000006581009],"about_ca_topic_score_codex":0.0012533595,"about_ca_topic_score_gemma":0.0009780532,"teacher_disagreement_score":0.0022217245,"about_ca_system_score_codex":0.00034157597,"about_ca_system_score_gemma":0.0005636694,"threshold_uncertainty_score":0.007432461},"labels":[],"label_agreement":null},{"id":"W4414027182","doi":"10.1108/ec-04-2024-0266","title":"Strength simulation of metro train bogie frame using edge-based and face-based smoothed finite element method","year":2025,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Bogie; Finite element method; Structural engineering; Frame (networking); Enhanced Data Rates for GSM Evolution; Face (sociological concept); Engineering; Computer science; Mechanical engineering","score_opus":0.01501291207869556,"score_gpt":0.27602585770736204,"score_spread":0.2610129456286665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414027182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2194761,0.00014449218,0.7675717,0.0000830924,0.000052237163,0.00005373681,0.00014741695,0.00053525576,0.011936078],"genre_scores_gemma":[0.9294942,0.00011348805,0.06693677,0.000021745755,0.000008298747,0.00005726348,0.000120898214,0.000050078215,0.0031972453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990046,0.000018979143,0.0000054306606,0.000014292775,0.00004896151,0.000011756321],"domain_scores_gemma":[0.9998424,0.00005102396,0.000022016171,0.000019131703,0.00005695234,0.000008403604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022173772,0.00027116988,0.0003323938,0.0005008548,0.00021819337,0.00037139907,0.00064342405,0.0005280929,0.0022283737],"category_scores_gemma":[0.0005544717,0.00017007353,0.0005367095,0.00024864177,0.0002690771,0.00030385712,0.0002835328,0.00018800328,0.00029989268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043760858,0.000029192353,0.0031240704,0.000064717235,0.000021816555,0.000120992845,0.000097496515,0.95239484,0.012105961,0.0034493334,0.00037505935,0.028172763],"study_design_scores_gemma":[0.0000025101087,0.000015346466,0.0004640864,0.0000046120826,0.0000038650674,0.000018676106,0.000015776353,0.9977748,0.00093406765,0.0002549518,0.0005078382,0.0000035183714],"about_ca_topic_score_codex":0.006900992,"about_ca_topic_score_gemma":0.006761903,"teacher_disagreement_score":0.006900992,"about_ca_system_score_codex":0.00022340701,"about_ca_system_score_gemma":0.0006226224,"threshold_uncertainty_score":0.013721645},"labels":[],"label_agreement":null},{"id":"W4417150911","doi":"10.1108/ec-06-2025-0621","title":"Lattice Boltzmann modeling with appropriate interface treatment for the transient heat and mass diffusion through multilayered multicomponent materials with irregular boundary","year":2025,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Lattice Boltzmann methods; Classification of discontinuities; Boundary value problem; Transient (computer programming); Diffusion; Heat flux; Mass flux; Interface (matter); Porous medium","score_opus":0.017647540267084868,"score_gpt":0.25233380260890687,"score_spread":0.234686262341822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417150911","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13975179,0.0006218426,0.8518973,0.0003161281,0.000120339246,0.00013206476,0.00021019529,0.00031513147,0.006635158],"genre_scores_gemma":[0.82671845,0.0005505984,0.16709433,0.00010825477,0.00002983031,0.00033778325,0.0001928001,0.0001067629,0.0048612035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981076,0.0000460636,0.0000121378835,0.00003430542,0.0000656611,0.00003103368],"domain_scores_gemma":[0.99973935,0.000119786804,0.000042079973,0.000024073523,0.00005614022,0.000018538094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037706253,0.00054632773,0.00056078105,0.0003002094,0.00035766163,0.00080334843,0.0010943741,0.0009799864,0.0011314846],"category_scores_gemma":[0.0009757427,0.0003819034,0.0008134367,0.00032411775,0.0005260143,0.00075084256,0.00059063494,0.0009952262,0.00028117868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031489588,0.000047030586,0.0014019553,0.0000721059,0.000015213262,0.00007626679,0.00005968936,0.97358996,0.010814416,0.008449866,0.00017049529,0.005271402],"study_design_scores_gemma":[0.000003119446,0.0000059237464,0.000049483075,0.0000023710322,0.0000017334968,0.000006512207,0.000005947612,0.9984939,0.0006291643,0.00059152226,0.00020794921,0.0000023868088],"about_ca_topic_score_codex":0.007277528,"about_ca_topic_score_gemma":0.0046152095,"teacher_disagreement_score":0.007277528,"about_ca_system_score_codex":0.0007241078,"about_ca_system_score_gemma":0.0009975182,"threshold_uncertainty_score":0.014470339},"labels":[],"label_agreement":null},{"id":"W7091595152","doi":"10.1108/ec-06-2024-0541","title":"Stacking deep learning models to analyse vibration and current signatures in rotating machinery","year":2025,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Artificial neural network; Deep learning; Convolutional neural network; Spectrogram; Stacking; Process (computing); Noise (video); Perceptron; Fault (geology)","score_opus":0.0102339166661355,"score_gpt":0.27827920126345224,"score_spread":0.26804528459731675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7091595152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060372587,0.00062631076,0.9349553,0.0002437059,0.000090380745,0.000034496024,0.00021126198,0.0020783073,0.0013877598],"genre_scores_gemma":[0.77965176,0.00052836747,0.21448173,0.000206522,0.00010825536,0.000064700704,0.0009530134,0.00016802679,0.0038375815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997398,0.00003976242,0.000017966,0.00007763136,0.00008548397,0.000039315597],"domain_scores_gemma":[0.99946195,0.0001756559,0.00010974795,0.00008165432,0.00013565419,0.000035364737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005656338,0.0011435824,0.0005582293,0.0010806214,0.00022515126,0.0008090475,0.0008139799,0.00066317257,0.0015362472],"category_scores_gemma":[0.0018363729,0.0003276577,0.00089252205,0.00081186864,0.0003310147,0.0011824409,0.00086206425,0.0010136217,0.00082012155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012941775,0.00013858793,0.005040842,0.00012515088,0.00012909085,0.0001591243,0.000078892685,0.5138466,0.02193224,0.0025538388,0.0022142604,0.45365193],"study_design_scores_gemma":[0.00000166396,0.00002613161,0.0006746357,0.000006820844,0.000011270343,0.000021541244,0.000011241606,0.99261695,0.0045422344,0.0015559103,0.00052530237,0.000006284591],"about_ca_topic_score_codex":0.0033602938,"about_ca_topic_score_gemma":0.0045362883,"teacher_disagreement_score":0.0033602938,"about_ca_system_score_codex":0.00051370426,"about_ca_system_score_gemma":0.0005396874,"threshold_uncertainty_score":0.006681502},"labels":[],"label_agreement":null},{"id":"W7111062442","doi":"10.1108/ec-02-2024-0161","title":"Mechanical models of conical assemblies","year":2025,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Contact Mechanics and Variational Inequalities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society; Nexen (Canada)","funders":"","keywords":"Conical surface; Finite element method; Elasticity (physics); Joint (building); Work (physics); Contact force; Deformation (meteorology); Connection (principal bundle); Contact area","score_opus":0.026818420891817626,"score_gpt":0.26952721924005857,"score_spread":0.24270879834824094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111062442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08219023,0.0006412856,0.8837434,0.00016278042,0.000050332277,0.00006795023,0.00012418073,0.0002287894,0.032791074],"genre_scores_gemma":[0.9390904,0.0007506967,0.041134622,0.00008642184,0.000052563868,0.00018550044,0.00018896094,0.00010596807,0.018404836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996283,0.000049930404,0.000021285137,0.00007861465,0.0001612605,0.00006058144],"domain_scores_gemma":[0.9997336,0.00006548095,0.00007962501,0.000042952215,0.000047117624,0.000031236006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003597044,0.00045550714,0.00051221077,0.0013038893,0.0007662417,0.0011224888,0.0015734528,0.000875381,0.006472817],"category_scores_gemma":[0.000850159,0.000334511,0.00070373196,0.0006696478,0.0013793783,0.0011349623,0.0012830616,0.0005948112,0.0009781716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024055842,0.000055539873,0.0012229253,0.00008990148,0.00001728055,0.00052372593,0.00023883847,0.5832677,0.007376031,0.39101398,0.0007564816,0.015413516],"study_design_scores_gemma":[0.0000046846953,0.00006561469,0.00057707675,0.000017172124,0.0000062850013,0.00020346839,0.00010957239,0.94497335,0.0008815152,0.04918511,0.0039619925,0.000014129902],"about_ca_topic_score_codex":0.0012933397,"about_ca_topic_score_gemma":0.00096543477,"teacher_disagreement_score":0.006472817,"about_ca_system_score_codex":0.0005012997,"about_ca_system_score_gemma":0.0003888888,"threshold_uncertainty_score":0.021653771},"labels":[],"label_agreement":null}]}