{"id":"W4391027632","doi":"10.1016/j.tws.2024.111611","title":"Comparison of two progressive damage models for predicting low-velocity impact behavior of woven composites","year":2024,"lang":"en","type":"article","venue":"Thin-Walled Structures","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; General Dynamics Land Systems; Government of Canada","keywords":"Materials science; Finite element method; Delamination (geology); LS-DYNA; Structural engineering; Composite material; Nonlinear system; Strain rate; Damage mechanics; Macro; Material properties; Computer science; Engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000180519,0.0003526455,0.0007590654,0.000175302,0.00006886685,0.00007194746,0.0004529828,0.0001711673,0.0001366404],"category_scores_gemma":[0.00003638424,0.0002973512,0.0003181086,0.0002091446,0.00009400579,0.0002300201,0.0001028471,0.0003910807,0.000001175729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008330715,"about_ca_system_score_gemma":0.00004496904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004449113,"about_ca_topic_score_gemma":0.00001110113,"domain_scores_codex":[0.9981333,0.00004785082,0.0007441827,0.0003017892,0.0004019982,0.0003708973],"domain_scores_gemma":[0.9988213,0.000386315,0.0001535155,0.000361276,0.0001471012,0.0001304759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001568665,0.0001325848,0.003426783,0.001412344,0.0004178604,0.00001551987,0.003772628,0.3058299,0.6734108,0.00748872,0.0004263199,0.003509625],"study_design_scores_gemma":[0.0005280822,0.0002118142,0.00335653,0.0002752393,0.0002720345,0.000007172544,0.00007027397,0.5940177,0.3934871,0.007520017,0.000003910142,0.0002501741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864421,0.001988594,0.009307562,0.00001309956,0.0003505578,0.0009676965,0.0002991376,0.0004643552,0.0001669099],"genre_scores_gemma":[0.9834458,0.000005236293,0.0162082,0.000003380701,0.00008995642,0.00007863293,0.00008147153,0.0000787869,0.000008567608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2881878,"threshold_uncertainty_score":0.9999478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685804529529361,"score_gpt":0.3444997866325985,"score_spread":0.3176417413373049,"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."}}