{"id":"W2164622584","doi":"10.1016/j.compstruc.2015.10.002","title":"Toward better understanding of the effect of fiber distribution on effective elastic properties of unidirectional composite yarns","year":2015,"lang":"en","type":"article","venue":"Computers & Structures","topic":"Composite Material Mechanics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Homogenization (climate); Randomness; Composite number; Materials science; Finite element method; Macro; Composite material; Fiber; Macroscopic scale; Scaling; Structural engineering; Mathematics; Computer science; Geometry; Engineering; Physics","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":[0.00008457086,0.0001518865,0.000269244,0.00005210694,0.00002833576,0.00001189002,0.0001619363,0.00005558309,0.000003666195],"category_scores_gemma":[0.0000237906,0.000101513,0.00008106083,0.0001308778,0.00007804645,0.00003685808,0.00008049426,0.0001008959,6.869396e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000180511,"about_ca_system_score_gemma":0.000009181453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001350589,"about_ca_topic_score_gemma":9.388182e-7,"domain_scores_codex":[0.9992448,0.0001156832,0.0002011059,0.0001069895,0.0002175047,0.0001138825],"domain_scores_gemma":[0.9995417,0.000132961,0.0000839132,0.0001627295,0.00004607794,0.00003259767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000917243,0.00003020542,0.001882542,0.001676372,0.0005470164,0.000002337552,0.001433318,0.4072575,0.5762289,0.003436298,0.001402449,0.005185909],"study_design_scores_gemma":[0.0005913598,0.0004358265,0.00584668,0.0003392621,0.00006313083,0.000008511104,0.00001378136,0.01890022,0.9727964,0.0008368683,0.0000475495,0.0001204408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981845,0.0000738509,0.01594623,0.0000173185,0.001676636,0.0002963914,0.00004451192,0.00004829736,0.00005172611],"genre_scores_gemma":[0.9997243,5.06802e-7,0.0001735918,0.000004280506,0.0000665915,0.000004689859,0.000009836171,0.0000151764,0.000001066347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3965675,"threshold_uncertainty_score":0.413958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641982647116616,"score_gpt":0.199063916345019,"score_spread":0.1826440898738529,"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."}}