{"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,"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","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001556141,0.0003045962,0.0005451958,0.0002975125,0.0003899214,0.0006663231,0.0005862902,0.0005823122,0.003037685],"category_scores_gemma":[0.0004500264,0.0002120361,0.0002998464,0.0002929676,0.0003119528,0.0007778477,0.0006699801,0.0004210616,0.0003022124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392353,"about_ca_system_score_gemma":0.000625578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585741,"about_ca_topic_score_gemma":0.00294886,"domain_scores_codex":[0.9999235,0.00001335956,0.00000443625,0.00001424311,0.00003288472,0.00001165735],"domain_scores_gemma":[0.999864,0.00003529367,0.00001282372,0.00002153577,0.00004837456,0.0000178802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002978257,0.0002191416,0.003672921,0.0001263449,0.00004694873,0.0002556859,0.0001364619,0.8382018,0.03087035,0.01864576,0.001256135,0.1062706],"study_design_scores_gemma":[0.000002372819,0.000009317272,0.0001049189,0.000001092282,0.000001175572,0.000006139517,0.000005349678,0.9987519,0.0004526305,0.0005463584,0.0001165173,0.000002270445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1674335,0.0001177324,0.8238889,0.0001446984,0.0001046876,0.00003991786,0.0001105422,0.0005912316,0.00756871],"genre_scores_gemma":[0.9266281,0.00005819297,0.07066429,0.00003355239,0.00001542858,0.00002305868,0.0001044481,0.00004800602,0.0024249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003037685,"threshold_uncertainty_score":0.01016212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121948787958557,"score_gpt":0.2784108208973541,"score_spread":0.2662159421014985,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}