{"meta":{"query_hash":"263690a81626","filters":{"venue":"Journal of Peridynamics and Nonlocal Modeling"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/263690a81626","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Peridynamics+and+Nonlocal+Modeling"},"results":[{"id":"W2913004040","doi":"10.1007/s42102-018-0004-x","title":"A Review of Benchmark Experiments for the Validation of Peridynamics Models","year":2019,"lang":"en","type":"review","venue":"Journal of Peridynamics and Nonlocal Modeling","topic":"Numerical methods in engineering","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Peridynamics; Benchmark (surveying); Computer science; A priori and a posteriori; Generalization; Displacement (psychology); Scale (ratio); Experimental data; Algorithm; Calibration; Applied mathematics; Continuum mechanics; Mathematics; Mechanics; Statistics; Physics; Mathematical analysis; Geology","score_opus":0.10220509377851976,"score_gpt":0.3709112303046325,"score_spread":0.26870613652611275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913004040","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019204867,0.9800744,0.01347117,0.00040331733,0.00047430643,0.00011234742,0.00031495484,0.000073832925,0.0031551358],"genre_scores_gemma":[0.0125646535,0.9696255,0.01487685,0.0003868553,0.00031791,0.00021158133,0.00061795866,0.000058769147,0.0013400834],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973214,0.00050099776,0.0004377847,0.00043360158,0.0012120083,0.00009425533],"domain_scores_gemma":[0.99220324,0.004505633,0.00078206277,0.00041485237,0.0019677524,0.00012654722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006028466,0.0020218685,0.0029296763,0.005080273,0.000582627,0.0020806873,0.0030167259,0.002157965,0.0021800108],"category_scores_gemma":[0.00892277,0.00086143275,0.0013728793,0.0043726997,0.0013495982,0.0023190018,0.0014608484,0.0014459491,0.0012126276],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019641101,0.00037748425,0.00095516315,0.064249024,0.0002789687,0.00014472348,0.00012476752,0.0075706807,0.013533994,0.018664742,0.017451724,0.8764524],"study_design_scores_gemma":[0.000085327374,0.0013374741,0.0037760627,0.02251634,0.0009492753,0.0009121546,0.00031601224,0.009094233,0.026433907,0.016587531,0.9176713,0.00032030634],"about_ca_topic_score_codex":0.0018171836,"about_ca_topic_score_gemma":0.0021653026,"teacher_disagreement_score":0.006028466,"about_ca_system_score_codex":0.0012222729,"about_ca_system_score_gemma":0.0026058806,"threshold_uncertainty_score":0.03188193},"labels":[],"label_agreement":null},{"id":"W3002811874","doi":"10.1007/s42102-019-00025-7","title":"Extracting Constitutive Mechanical Parameters in Linear Elasticity Using the Virtual Fields Method Within the Ordinary State-Based Peridynamic Framework","year":2020,"lang":"en","type":"article","venue":"Journal of Peridynamics and Nonlocal Modeling","topic":"Numerical methods in engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Peridynamics; Linear elasticity; Finite element method; Computer science; Isotropy; Elasticity (physics); Displacement field; Virtual work; Robustness (evolution); Applied mathematics; Algorithm; Structural engineering; Mechanics; Continuum mechanics; Physics; Mathematics; Engineering; Optics","score_opus":0.0364994903668413,"score_gpt":0.3023037865119868,"score_spread":0.2658042961451455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002811874","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":[0.013434513,0.000066810535,0.98461723,0.000036971975,0.000016956441,0.000018869181,0.000032373497,0.00015600231,0.0016203098],"genre_scores_gemma":[0.63510334,0.000507567,0.3540521,0.00009025897,0.00004391204,0.000108327804,0.00024159135,0.00034018024,0.0095127355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987185,0.00002910611,0.0000070285614,0.000022889897,0.0000558085,0.000013325405],"domain_scores_gemma":[0.99977845,0.00009601652,0.000027050954,0.00004079079,0.00004208467,0.000015666477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003145234,0.00038898856,0.0005299708,0.0007460421,0.0003366911,0.0009495527,0.0009353965,0.0007340243,0.0024091913],"category_scores_gemma":[0.0009069364,0.00041936737,0.0005032322,0.0005080858,0.0007812447,0.0017804498,0.0009565504,0.0007697157,0.0006103759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081267244,0.00016862538,0.0015948027,0.00029220278,0.000066912835,0.00045517847,0.00028063104,0.46296033,0.05813048,0.32799438,0.0015979853,0.14637727],"study_design_scores_gemma":[0.0000048277566,0.000015715274,0.00023270644,0.000010671431,0.0000069834,0.00006170648,0.000030065019,0.95611817,0.003266216,0.038455486,0.0017826898,0.00001477016],"about_ca_topic_score_codex":0.00089258875,"about_ca_topic_score_gemma":0.0013316841,"teacher_disagreement_score":0.0024091913,"about_ca_system_score_codex":0.00022650152,"about_ca_system_score_gemma":0.0007525327,"threshold_uncertainty_score":0.008059561},"labels":[],"label_agreement":null},{"id":"W3115146700","doi":"10.1007/s42102-021-00062-1","title":"Comparative Study of Neural Network–Based Models for Fatigue Crack Growth Predictions of Short Cracks","year":2021,"lang":"en","type":"article","venue":"Journal of Peridynamics and Nonlocal Modeling","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extrapolation; Artificial neural network; Structural engineering; Damage tolerance; Nonlinear system; Extreme learning machine; Materials science; Interpolation (computer graphics); Paris' law; Range (aeronautics); Backpropagation; Fracture mechanics; Computer science; Crack closure; Engineering; Machine learning; Artificial intelligence; Mathematics; Composite material; Statistics","score_opus":0.06232288245124808,"score_gpt":0.30447151710305903,"score_spread":0.24214863465181097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115146700","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":[0.90111953,0.00093683135,0.092475586,0.00024430573,0.000074977994,0.000044316952,0.00023349863,0.00031781764,0.0045531658],"genre_scores_gemma":[0.9954758,0.00010783548,0.0034694043,0.000013215336,0.000007852194,0.000016694092,0.00007712067,0.000013449011,0.0008185553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999874,0.000039856066,0.00000976769,0.00003637099,0.00002650534,0.000013527305],"domain_scores_gemma":[0.99859256,0.000945823,0.000071295224,0.000053848547,0.0003022464,0.00003425513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069029443,0.0005507533,0.000409962,0.0004978896,0.00023178871,0.00057689514,0.00070184626,0.0007890922,0.0012325218],"category_scores_gemma":[0.0019389063,0.00019765392,0.00035245036,0.00026723582,0.00018345717,0.00077916525,0.00024766746,0.00040660737,0.00018784632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001334896,0.00010185652,0.0022832782,0.000036315327,0.000038774615,0.000021008622,0.000019746503,0.9778014,0.0012168648,0.00037272088,0.00017657869,0.017797926],"study_design_scores_gemma":[0.000001387643,0.000014403955,0.00028415216,0.0000013676236,0.0000034179259,0.0000014253839,0.0000028967722,0.9994411,0.00017545786,0.000057188117,0.000015639642,0.0000014995832],"about_ca_topic_score_codex":0.015447997,"about_ca_topic_score_gemma":0.0112930825,"teacher_disagreement_score":0.015447997,"about_ca_system_score_codex":0.0007060008,"about_ca_system_score_gemma":0.00044324528,"threshold_uncertainty_score":0.03071618},"labels":[],"label_agreement":null},{"id":"W3140369567","doi":"10.1007/s42102-021-00051-4","title":"The Use of Peridynamic Virtual Fibres to Simulate Yielding and Brittle Fracture","year":2021,"lang":"en","type":"article","venue":"Journal of Peridynamics and Nonlocal Modeling","topic":"Numerical methods in engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fondation Chalmers; Energimyndigheten; Chalmers Tekniska Högskola; Svenska Forskningsrådet Formas","keywords":"Fracture (geology); Mechanics; Brittleness; Materials science; Strain energy release rate; Discretization; Peridynamics; Fracture mechanics; Stress (linguistics); Perpendicular; Continuum mechanics; Composite material; Geometry; Mathematics; Physics; Mathematical analysis","score_opus":0.02401642445490718,"score_gpt":0.25202246928688327,"score_spread":0.2280060448319761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140369567","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8527694,0.00015310913,0.13678446,0.00020182361,0.00008342806,0.00007884209,0.00013329515,0.0004702902,0.009325348],"genre_scores_gemma":[0.98094994,0.000037544214,0.017958904,0.000020975629,0.000005098697,0.000033624132,0.000035633715,0.00003308056,0.0009251516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998727,0.00004096059,0.0000057347056,0.000012207361,0.000045937908,0.000022524167],"domain_scores_gemma":[0.99935097,0.00041230945,0.00005545445,0.00006364108,0.00006238361,0.000055250795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004388405,0.00034005064,0.00031194475,0.0004183422,0.00035410147,0.00063373847,0.00094694126,0.0009099594,0.0016864898],"category_scores_gemma":[0.0014761497,0.00020784762,0.00027823515,0.00024093145,0.00091657613,0.0003612953,0.0007090434,0.0005110849,0.00011249382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000434424,0.00004336992,0.00067966233,0.000019178995,0.000008317246,0.00007014696,0.000050509734,0.9902616,0.002994096,0.0032406377,0.00008803536,0.0025009974],"study_design_scores_gemma":[0.000003702837,0.000020093315,0.000116763105,0.0000024630272,0.0000010934484,0.00000671183,0.0000073070883,0.9986156,0.0005616703,0.0005200259,0.00014198576,0.0000025219963],"about_ca_topic_score_codex":0.0034805818,"about_ca_topic_score_gemma":0.0031032765,"teacher_disagreement_score":0.0034805818,"about_ca_system_score_codex":0.0005856119,"about_ca_system_score_gemma":0.00042718163,"threshold_uncertainty_score":0.0069206357},"labels":[],"label_agreement":null},{"id":"W4407601052","doi":"10.1007/s42102-025-00128-4","title":"Displacement and Stress Computation Using on Dual-Horizon State-based Peridynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Peridynamics and Nonlocal Modeling","topic":"Numerical methods in engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Peridynamics; Computation; Dual (grammatical number); Displacement (psychology); State (computer science); Stress (linguistics); Mechanics; Materials science; Physics; Computer science; Structural engineering; Algorithm; Engineering; Continuum mechanics; Psychology","score_opus":0.012194878795855698,"score_gpt":0.27841082089735414,"score_spread":0.26621594210149846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407601052","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":[0.16743353,0.00011773242,0.8238889,0.00014469837,0.00010468763,0.00003991786,0.00011054223,0.0005912316,0.0075687105],"genre_scores_gemma":[0.92662805,0.000058192974,0.070664294,0.000033552395,0.000015428575,0.000023058685,0.000104448096,0.000048006023,0.0024249004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992347,0.0000133595595,0.00000443625,0.00001424311,0.00003288472,0.00001165735],"domain_scores_gemma":[0.999864,0.000035293666,0.000012823717,0.000021535774,0.000048374557,0.000017880197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015561408,0.00030459618,0.0005451958,0.0002975125,0.00038992136,0.0006663231,0.0005862902,0.00058231223,0.003037685],"category_scores_gemma":[0.00045002636,0.00021203612,0.00029984638,0.00029296757,0.00031195278,0.00077784766,0.0006699801,0.00042106165,0.00030221237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029782567,0.00021914156,0.0036729206,0.00012634494,0.000046948728,0.00025568594,0.00013646185,0.8382018,0.030870348,0.018645756,0.0012561346,0.106270626],"study_design_scores_gemma":[0.000002372819,0.000009317272,0.00010491892,0.0000010922823,0.0000011755719,0.0000061395167,0.0000053496783,0.9987519,0.00045263054,0.0005463584,0.00011651729,0.000002270445],"about_ca_topic_score_codex":0.0025857415,"about_ca_topic_score_gemma":0.0029488602,"teacher_disagreement_score":0.003037685,"about_ca_system_score_codex":0.00023923526,"about_ca_system_score_gemma":0.000625578,"threshold_uncertainty_score":0.010162115},"labels":[],"label_agreement":null},{"id":"W4411753901","doi":"10.1007/s42102-025-00131-9","title":"Coupling Approaches with Non-matching Grids for Classical Linear Elasticity and Bond-based Peridynamic Models in 1D","year":2025,"lang":"en","type":"article","venue":"Journal of Peridynamics and Nonlocal Modeling","topic":"Numerical methods in engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Louisiana State University","keywords":"Elasticity (physics); Matching (statistics); Coupling (piping); Linear elasticity; Computer science; Materials science; Structural engineering; Mathematics; Composite material; Engineering; Finite element method; Statistics","score_opus":0.02149253341714253,"score_gpt":0.25030408961272643,"score_spread":0.2288115561955839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411753901","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":[0.025872318,0.00034291833,0.9665427,0.00027358966,0.00018092539,0.00008722737,0.00006009016,0.0001989817,0.006441083],"genre_scores_gemma":[0.6068174,0.00071648916,0.37435773,0.0004609153,0.00016347093,0.0005168711,0.00029426563,0.00055260275,0.01612018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994454,0.00024459066,0.000036757192,0.000072561765,0.00015230724,0.0000484124],"domain_scores_gemma":[0.9989478,0.00047089235,0.000107031905,0.00021192439,0.00016901566,0.00009338035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011507159,0.0008242288,0.0012181601,0.00095902564,0.00083629903,0.001364471,0.0027765355,0.0025264577,0.004502178],"category_scores_gemma":[0.0035112195,0.0007593633,0.0010106735,0.00070635276,0.0014595863,0.002228325,0.0035257866,0.001774154,0.00085572904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008770037,0.00024203166,0.0007563573,0.00013361352,0.00006800467,0.00011909132,0.00020478664,0.8076326,0.0031557642,0.1634382,0.0012521012,0.022909751],"study_design_scores_gemma":[0.0000063752323,0.000008008428,0.00003177785,0.000004406449,0.0000023475816,0.000006513769,0.000010521903,0.9891266,0.00013263217,0.010239671,0.00042590694,0.000005107438],"about_ca_topic_score_codex":0.0051180106,"about_ca_topic_score_gemma":0.0045767636,"teacher_disagreement_score":0.0051180106,"about_ca_system_score_codex":0.0008127065,"about_ca_system_score_gemma":0.0009970792,"threshold_uncertainty_score":0.015061259},"labels":[],"label_agreement":null}]}