{"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002803731,0.5139628,0.48515612,0.0000032462729,0.00043929886,0.00034579035,0.000036818383,0.0000060845937,0.00002178675],"genre_scores_gemma":[0.0003897984,0.9145976,0.08472526,0.000010738484,0.00013344722,0.000026052665,0.000014461867,0.00010005182,0.0000026467408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99723774,0.00007323499,0.0019190243,0.00018522277,0.00033373735,0.00025101373],"domain_scores_gemma":[0.99793184,0.00054750335,0.00075528526,0.0003500764,0.00032675636,0.000088559005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012046292,0.00041623763,0.0022563285,0.00020381818,0.000037471716,0.000029914638,0.0004515884,0.00022958583,0.000004528499],"category_scores_gemma":[0.00017083841,0.00029136476,0.0008056395,0.00024216199,0.00004725653,0.00017831662,0.00008445535,0.0005392435,1.616009e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068948616,0.000016721051,8.664671e-8,0.1001505,0.0002710592,5.351473e-7,0.00004781669,0.55669135,0.000017203127,0.0002553587,0.0000064879932,0.34253597],"study_design_scores_gemma":[0.00015116141,0.00009037547,1.1201176e-8,0.061566196,0.0009665278,0.000047399317,0.000032652686,0.9262886,0.000004297404,0.00022181614,0.010388561,0.00024238987],"about_ca_topic_score_codex":0.0000028356915,"about_ca_topic_score_gemma":1.168403e-7,"teacher_disagreement_score":0.40063474,"about_ca_system_score_codex":0.00016065774,"about_ca_system_score_gemma":0.0001181228,"threshold_uncertainty_score":0.99995387},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42473775,0.0001348224,0.5743927,0.00021011167,0.00041768598,0.00007873478,0.0000033698416,0.000021421556,0.0000034162842],"genre_scores_gemma":[0.61184907,0.000030267112,0.3878199,0.00017471769,0.00009660616,0.0000018009455,2.5268366e-7,0.000027272115,1.3423707e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820507,0.00021747715,0.0007771253,0.00019568679,0.00029423187,0.00031041855],"domain_scores_gemma":[0.9978553,0.0015804678,0.00016561926,0.0001463613,0.00008569872,0.0001665183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012706445,0.00026188418,0.000459741,0.00008444671,0.00014304095,0.000103711856,0.0003067388,0.00016368438,0.0000027921612],"category_scores_gemma":[0.0010940918,0.00017349512,0.00014219414,0.00033916533,0.00010211081,0.0002029382,0.00008263325,0.0020609763,2.632382e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010247716,0.000014024558,0.00002774709,0.00003443572,0.000053392654,0.000045908877,0.0007270657,0.9898772,0.0023355521,0.00046005577,2.6986655e-7,0.0063218577],"study_design_scores_gemma":[0.0002722476,0.00015847132,0.000004943485,0.00019505645,0.000056451798,0.000088988745,0.0013299715,0.9964215,0.00030457522,0.000953251,0.000005401562,0.0002091547],"about_ca_topic_score_codex":0.000025159963,"about_ca_topic_score_gemma":0.00000661184,"teacher_disagreement_score":0.18711133,"about_ca_system_score_codex":0.00013832637,"about_ca_system_score_gemma":0.00009082943,"threshold_uncertainty_score":0.89540315},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49419892,0.00011515377,0.50539774,0.00000672195,0.00007775056,0.000112175774,0.000015323523,0.000019533725,0.000056677036],"genre_scores_gemma":[0.7885933,0.00002654149,0.21127452,0.0000042696947,0.000068800495,0.0000063926186,0.000003829898,0.00002205997,3.191263e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987143,0.000042140455,0.00073304377,0.00012911712,0.0002099601,0.00017143795],"domain_scores_gemma":[0.9986021,0.00016371824,0.00015589243,0.00012729524,0.0008744545,0.000076543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028687148,0.00016275405,0.0005282399,0.00011147714,0.00006681036,0.000023500246,0.00012285686,0.000070574,0.0000012019996],"category_scores_gemma":[0.00004339778,0.0001577419,0.000117674324,0.00017679787,0.000046966645,0.00020358631,0.00003736295,0.00027759874,8.022246e-9],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060053157,0.00013893706,0.0012581855,0.000095735864,0.00010545664,0.0000053014483,0.00038520305,0.99501914,0.0020844724,0.0006767792,0.000008191482,0.00016252053],"study_design_scores_gemma":[0.00048127628,0.00052436977,0.00017263895,0.00016497674,0.000110893896,0.000029219507,0.00062371517,0.9847877,0.00029956416,0.012682745,1.6117325e-7,0.00012271799],"about_ca_topic_score_codex":0.000014109895,"about_ca_topic_score_gemma":0.000034912595,"teacher_disagreement_score":0.29439437,"about_ca_system_score_codex":0.000055447043,"about_ca_system_score_gemma":0.00006708821,"threshold_uncertainty_score":0.64325285},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48363677,0.00088438235,0.5151543,0.00008804797,0.00019692871,0.000022653394,0.000003370655,0.000009241322,0.0000043270816],"genre_scores_gemma":[0.9171338,0.0010205888,0.08164924,0.00005476504,0.00009813933,6.402104e-7,4.6624413e-7,0.00003272249,0.000009600419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901253,0.000031803615,0.00045151418,0.00011355792,0.00018227479,0.00020831104],"domain_scores_gemma":[0.999072,0.0004456982,0.000060638995,0.0001307415,0.00014591624,0.00014497773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002602283,0.00015049138,0.00030382245,0.0000734132,0.000087796965,0.00013043855,0.00009951053,0.000082947576,0.0000026707548],"category_scores_gemma":[0.00034107862,0.000118371274,0.0000781003,0.00013887612,0.00003588478,0.00018013154,0.00008119355,0.00037730244,1.383381e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020368425,0.0000056126505,0.000040780553,0.000035612222,0.00004509941,0.000016826032,0.00019380769,0.9402985,0.011405524,0.00009484341,0.0000052998,0.0478377],"study_design_scores_gemma":[0.00014963718,0.00007033622,0.000054063945,0.00014654164,0.000025062589,0.0001103443,0.00021768453,0.9976101,0.00040009714,0.0001659007,0.0009163272,0.00013389744],"about_ca_topic_score_codex":0.0000071192762,"about_ca_topic_score_gemma":0.0000061090896,"teacher_disagreement_score":0.43350503,"about_ca_system_score_codex":0.00004200776,"about_ca_system_score_gemma":0.00002305704,"threshold_uncertainty_score":0.48270404},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47420472,0.00026504134,0.5250864,0.000021763195,0.00032503487,0.000047045265,0.000009514761,0.00001872359,0.000021757749],"genre_scores_gemma":[0.88396484,0.00020007005,0.11572028,0.000024761397,0.00005333389,0.000001285153,0.0000026740518,0.000030479196,0.0000022685952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989199,0.000034388977,0.0004891782,0.00014389417,0.00019799224,0.00021461834],"domain_scores_gemma":[0.9994868,0.0001271848,0.000095838885,0.00008641055,0.00009533516,0.00010839868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031363545,0.00020465035,0.00032046545,0.0002528046,0.00008330787,0.00010112796,0.00006639357,0.000074762895,9.2158376e-7],"category_scores_gemma":[0.000051704435,0.00019426172,0.00005937409,0.00015874494,0.000034805897,0.00011327358,0.00003415804,0.000368283,8.9422116e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052271862,0.000024603798,0.00016804656,0.00020102708,0.000043844968,0.000011376947,0.00006024377,0.9642415,0.0024384265,0.00020593233,8.043937e-7,0.032551944],"study_design_scores_gemma":[0.00050045166,0.00016239795,0.00006193025,0.00044856823,0.00004343699,0.000014145112,0.00012534094,0.99785227,0.00016806442,0.00043465657,0.000011350456,0.00017741602],"about_ca_topic_score_codex":0.0000064000333,"about_ca_topic_score_gemma":0.000003146082,"teacher_disagreement_score":0.40976012,"about_ca_system_score_codex":0.00021429737,"about_ca_system_score_gemma":0.000036532474,"threshold_uncertainty_score":0.7921763},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4517028,0.00028007457,0.54771143,0.000043345037,0.00011687627,0.00009806705,0.000004135512,0.000020937601,0.000022337223],"genre_scores_gemma":[0.69633526,0.00006817132,0.3034662,0.0000142152185,0.00006510566,0.000009779817,0.0000013812476,0.00003852442,0.0000014000484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998627,0.000013239734,0.0006066423,0.00023117641,0.00017726145,0.00034465498],"domain_scores_gemma":[0.99925727,0.0003331332,0.000073356474,0.00011695614,0.00008592451,0.00013339004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058998907,0.00027747703,0.00056771183,0.00031379907,0.00008508675,0.00007915412,0.00013725348,0.0001519358,2.870342e-7],"category_scores_gemma":[0.000063489046,0.00023914946,0.00008532103,0.00022062604,0.000065380715,0.00023231647,0.000043162774,0.00065842597,3.403809e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013064998,0.000032005253,0.00023659805,0.00038137287,0.00004562962,0.000008271255,0.000118669304,0.993028,0.0009692908,0.0007399059,4.3231094e-7,0.0043091923],"study_design_scores_gemma":[0.0010274462,0.0001268929,0.00006123958,0.0005606353,0.000061536586,0.000022703756,0.00025980407,0.995826,0.000050103154,0.0017458124,0.0000045703173,0.00025327317],"about_ca_topic_score_codex":0.000009291954,"about_ca_topic_score_gemma":0.000017642471,"teacher_disagreement_score":0.24463241,"about_ca_system_score_codex":0.0001585664,"about_ca_system_score_gemma":0.00007516893,"threshold_uncertainty_score":0.97522324},"labels":[],"label_agreement":null}]}