{"id":"W4213220861","doi":"10.1007/s00366-022-01619-4","title":"Integration of a peridynamic fatigue model with two-parameter crack driving force","year":2022,"lang":"en","type":"article","venue":"Engineering With Computers","topic":"Numerical methods in engineering","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Paris' law; Materials science; Crack closure; Crack growth resistance curve; Fracture mechanics; Structural engineering; Mechanics; Peridynamics; Composite material; Engineering; Physics; Continuum mechanics","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":[0.0002597477,0.0005723232,0.0008455729,0.0004199235,0.0003895209,0.0005022719,0.001124973,0.002142314,0.003039941],"category_scores_gemma":[0.0008460714,0.0003566213,0.0007666825,0.0003136102,0.0004167819,0.000747931,0.000613635,0.0006436553,0.0003404084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005126071,"about_ca_system_score_gemma":0.0008281671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418038,"about_ca_topic_score_gemma":0.008615724,"domain_scores_codex":[0.9998513,0.00003006645,0.000009750251,0.00003145319,0.00005089461,0.00002641856],"domain_scores_gemma":[0.9997293,0.00007580729,0.00003089034,0.00003626744,0.00009865321,0.00002904817],"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":[0.00005388232,0.00007870132,0.0009062316,0.00006270417,0.00002943309,0.0001779909,0.00006292504,0.9779177,0.006684686,0.005963256,0.0003916449,0.007670904],"study_design_scores_gemma":[0.000003466199,0.000008849502,0.0001007637,0.000002119217,0.000003082572,0.00001042544,0.000003106562,0.9992647,0.0002451225,0.0001737537,0.0001812937,0.000003361914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.314018,0.00106612,0.6518527,0.0006436257,0.0004462938,0.0001083607,0.0003272576,0.0008375346,0.03070016],"genre_scores_gemma":[0.9665863,0.0002640843,0.02378128,0.00008769891,0.0000468122,0.0000739052,0.0001235679,0.0001069823,0.008929415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01418038,"threshold_uncertainty_score":0.02819568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076493629115475,"score_gpt":0.2242705693359265,"score_spread":0.2135056330447718,"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."}}