{"id":"W2057563070","doi":"10.1016/j.engfracmech.2014.03.014","title":"Cohesive zone modeling of fatigue crack growth in brazed joints","year":2014,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brazing; Materials science; Structural engineering; Paris' law; Cohesive zone model; Fatigue testing; Fracture mechanics; Crack closure; Composite material; 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":[0.0002841948,0.0004504227,0.0004652427,0.0005107243,0.0003967663,0.0006659051,0.001143848,0.001229377,0.001611896],"category_scores_gemma":[0.001090117,0.0005081841,0.0004131554,0.0003397354,0.0004421561,0.0005491991,0.0003606892,0.0005261783,0.000177788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005303533,"about_ca_system_score_gemma":0.000629638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0265095,"about_ca_topic_score_gemma":0.01994953,"domain_scores_codex":[0.999925,0.00001776232,0.000004322149,0.00001071075,0.00002727065,0.00001496704],"domain_scores_gemma":[0.9997573,0.0001138917,0.00003131343,0.00001901153,0.00006221567,0.00001624896],"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":[0.00002488186,0.00002622625,0.00060583,0.00002717511,0.00001071715,0.00006012513,0.00005161121,0.9894249,0.004663985,0.002295554,0.00008332617,0.002725657],"study_design_scores_gemma":[0.00000265581,0.000004942489,0.0001256155,0.000001586625,0.000001725543,0.000003395537,0.000005863292,0.9993836,0.0002425938,0.0001740356,0.00005232389,0.000001622746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8009169,0.001064251,0.1824965,0.0002384915,0.00008785962,0.00005997319,0.0001760123,0.0003281936,0.01463192],"genre_scores_gemma":[0.9894003,0.0002067818,0.007664436,0.00001450224,0.00001153501,0.00002327504,0.00003076627,0.00004122145,0.002607054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0265095,"threshold_uncertainty_score":0.05271035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060637715339265,"score_gpt":0.2082249145910173,"score_spread":0.1976185374376246,"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."}}