{"id":"W2911128805","doi":"10.1007/s42493-019-00015-3","title":"Strain-Gradient Elasticity Theory for the Mechanics of Fiber Composites Subjected to Finite Plane Deformations: Comprehensive Analysis","year":2019,"lang":"en","type":"article","venue":"Multiscale Science and Engineering","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Elasticity (physics); Nonlinear elasticity; Nonlinear system; Continuum mechanics; Finite strain theory; Strain energy; Composite number; Fiber-reinforced composite; Linear elasticity; Plane stress; Boundary value problem; Materials science; Euler's formula; Mathematical analysis; Classical mechanics; Mathematics; Composite material; Mechanics; Finite element method; Physics; Structural engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003862941,0.0001262033,0.0002133305,0.0002014439,0.0002164596,0.00007446812,0.0003040198,0.00003104687,0.000057818],"category_scores_gemma":[0.0001871887,0.000083375,0.00005418953,0.0007252116,0.0001375511,0.0001512104,0.0001033817,0.00006175732,0.000014513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002395893,"about_ca_system_score_gemma":0.00001956523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003155636,"about_ca_topic_score_gemma":0.00001634612,"domain_scores_codex":[0.9989657,0.00001388803,0.0002184137,0.0002356921,0.0002629079,0.0003033824],"domain_scores_gemma":[0.9986331,0.0008408068,0.00005958543,0.0001869232,0.000188178,0.00009137105],"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":[0.00001955785,0.000009245968,0.0001705334,0.00003960641,0.00002469061,1.473825e-7,0.0005144205,0.2813442,0.7154747,0.001937549,0.000004258313,0.0004611467],"study_design_scores_gemma":[0.000370271,0.0001649169,0.03929903,0.00005921695,0.0001902837,0.000006191614,0.000450098,0.6353124,0.323173,0.0002887438,0.0004189741,0.0002669443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8394088,0.00006570909,0.1597026,0.00003468286,0.0002288076,0.0003131694,0.0002081682,0.00002569413,0.00001249487],"genre_scores_gemma":[0.9924228,0.000004292488,0.00744861,0.00005293853,0.00001741323,0.00001548285,0.000008288154,0.000005247794,0.00002497327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3923017,"threshold_uncertainty_score":0.3399934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007978662969712079,"score_gpt":0.2154100123233221,"score_spread":0.20743134935361,"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."}}