{"id":"W2096762418","doi":"10.1111/ffe.12174","title":"A modified cohesive zone model for a high‐speed expanding crack","year":2014,"lang":"en","type":"article","venue":"Fatigue & Fracture of Engineering Materials & Structures","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cohesive zone model; Materials science; von Mises yield criterion; Traction (geology); Crack closure; Structural engineering; Bridging (networking); Hardening (computing); Composite material; Fracture mechanics; Mechanics; Finite element method; Engineering; Computer science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002393094,0.0005361987,0.0004724293,0.0004805823,0.0003526026,0.0006091743,0.001777407,0.001350736,0.001789158],"category_scores_gemma":[0.0004368446,0.0003529642,0.0006518122,0.0002608185,0.0006969031,0.0008135991,0.0005822673,0.0006472974,0.0002509618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004461065,"about_ca_system_score_gemma":0.0004607223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006370868,"about_ca_topic_score_gemma":0.003359191,"domain_scores_codex":[0.99988,0.00002865671,0.000004548767,0.00002633444,0.00004299978,0.00001748761],"domain_scores_gemma":[0.9998469,0.00004422624,0.00003219341,0.0000209235,0.0000390351,0.00001658051],"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":[0.00004304223,0.00004659704,0.0006473712,0.000053146,0.00002310336,0.0002769624,0.0001075284,0.9411677,0.01993971,0.03308512,0.0002545528,0.004355132],"study_design_scores_gemma":[0.00000472017,0.00001511786,0.0001193888,0.000001888472,0.000003092648,0.00002157091,0.000007786669,0.9985614,0.0002521001,0.0007382923,0.0002704957,0.000004134459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3917841,0.0008294476,0.587074,0.0002648664,0.0001297075,0.0001056891,0.0001309471,0.0001799723,0.01950127],"genre_scores_gemma":[0.9733287,0.0002868495,0.01667181,0.00003558521,0.00002971473,0.00009078391,0.00004113244,0.00003795967,0.0094776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006370868,"threshold_uncertainty_score":0.0126676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470752182300619,"score_gpt":0.2290926203242794,"score_spread":0.2143850985012732,"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."}}