{"id":"W1967028374","doi":"10.1115/1.1839593","title":"Damage Modeling in Random Short Glass Fiber Reinforced Composites Including Permanent Strain and Unilateral Effect","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Mechanics","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Anisotropy; Composite material; Damage mechanics; Stress space; Strain energy; Fiber-reinforced composite; Ultimate tensile strength; Stress (linguistics); Fiber; Constitutive equation; Finite element method; Physics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0008096687,0.0001610082,0.0003443433,0.000234488,0.00003776935,0.00004145273,0.0001134042,0.00009649348,0.00001382244],"category_scores_gemma":[0.00001164735,0.0001442506,0.00005998657,0.00009929419,0.000005182913,0.0002139164,0.00004047801,0.0003377071,0.000002006937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237748,"about_ca_system_score_gemma":0.000009305038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.124336e-7,"about_ca_topic_score_gemma":0.000001677456,"domain_scores_codex":[0.9989629,0.00001649668,0.0005434846,0.00008215429,0.0002175515,0.0001773854],"domain_scores_gemma":[0.9996522,0.0000742937,0.00007096557,0.00009636481,0.00003212052,0.00007407652],"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":[0.0001267521,0.000005123261,0.000003713353,0.00006075747,0.00003004334,0.000007830384,0.0003045012,0.7889927,0.1949456,0.004417658,0.000008432902,0.01109684],"study_design_scores_gemma":[0.001108935,0.00005468896,0.000004610267,0.00008236425,0.00002577985,0.00002461286,0.00001809291,0.9290554,0.06813393,0.001209017,0.0001459041,0.0001366799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423686,0.0000602756,0.05616468,0.00001635161,0.00006067806,0.0002233042,0.000001852947,0.00007634891,0.001027868],"genre_scores_gemma":[0.9853789,0.0000480128,0.01442287,0.00002411701,0.00007765217,0.000003908972,0.000004247111,0.00002901917,0.0000112543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400627,"threshold_uncertainty_score":0.588237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513409143339476,"score_gpt":0.2466465968128889,"score_spread":0.2315125053794941,"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."}}