{"id":"W4408938988","doi":"10.3390/polym17070902","title":"Continuum Compressive Damage Modelling in Composites Using Genetic Algorithms and Nonlocal Averaging","year":2025,"lang":"en","type":"article","venue":"Polymers","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Finite element method; Materials science; Compression (physics); Algorithm; Calibration; Genetic algorithm; Process (computing); Computer science; Structural engineering; Composite material; Mathematics; Mathematical optimization; Engineering","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":[0.000302177,0.000427934,0.0003231461,0.000423626,0.0002166516,0.0004139423,0.0005323414,0.0006469171,0.0004991455],"category_scores_gemma":[0.0005763296,0.0001887496,0.0004404226,0.0003005739,0.0005324279,0.0004114608,0.0003912266,0.0003676104,0.00008806789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004937429,"about_ca_system_score_gemma":0.0003501359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00283088,"about_ca_topic_score_gemma":0.004399085,"domain_scores_codex":[0.9998794,0.0000389854,0.000005109711,0.00002186758,0.00004494096,0.000009707936],"domain_scores_gemma":[0.999755,0.0001308394,0.00004816164,0.00002689336,0.00002980417,0.000009360258],"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":[0.000004791529,0.00001095846,0.0002158132,0.000009703999,0.00000597127,0.00001348714,0.00001710722,0.9905484,0.002220267,0.001212873,0.0000189332,0.005721703],"study_design_scores_gemma":[8.012555e-7,0.000008036948,0.00008471496,0.000001202152,0.000001075196,0.00000404437,0.000002753004,0.9989177,0.0005442069,0.0003850144,0.00004905975,0.00000140723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1372386,0.0001889034,0.8597596,0.00005811036,0.00001264925,0.00003569251,0.00001937024,0.0001995153,0.002487559],"genre_scores_gemma":[0.8883039,0.0001600208,0.1092936,0.0000238192,0.000007429961,0.00008733516,0.00002972759,0.0000430374,0.00205115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00283088,"threshold_uncertainty_score":0.005628765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422028944522025,"score_gpt":0.2418036691757439,"score_spread":0.2275833797305236,"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."}}