{"id":"W1975969509","doi":"10.4028/www.scientific.net/kem.488-489.230","title":"Fatigue Damage in On-Axis and Off-Axis Woven-Fiber/Resin Composite","year":2011,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Composite material; Anisotropy; Stiffness; Composite number; Ultimate tensile strength; Fiber; Tensile testing; Woven fabric; Long axis; Stress (linguistics); Structural engineering; Geometry; 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":[0.0002650862,0.0003418491,0.0002371283,0.0004807264,0.0002163948,0.0001271129,0.0001680633,0.0003905562,0.001346566],"category_scores_gemma":[0.0004660662,0.0002223854,0.0001564116,0.0001678135,0.0003171705,0.0003095082,0.0001459611,0.0001695104,0.0001908301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479662,"about_ca_system_score_gemma":0.00008278953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007857891,"about_ca_topic_score_gemma":0.002174969,"domain_scores_codex":[0.9997018,0.00003552553,0.00001545794,0.00004705439,0.000143494,0.00005660069],"domain_scores_gemma":[0.9994162,0.00009685195,0.00020043,0.0000587829,0.0001730174,0.00005477622],"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":[0.0001849981,0.00004061404,0.002630099,0.0000480801,0.000006417855,0.0001164228,0.0001220682,0.0004337605,0.9917053,0.00002026882,0.00002502822,0.004666919],"study_design_scores_gemma":[0.00001636619,0.002233146,0.1444728,0.00002382514,0.00003088995,0.00105898,0.0003357398,0.005084176,0.8451059,0.00006460325,0.001548273,0.00002529316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998838,0.0001819013,0.0005711463,0.000003942542,0.000003675207,0.00000553669,0.00002120063,0.00001125096,0.0003633402],"genre_scores_gemma":[0.997923,0.0001006978,0.0008915075,0.00001144479,0.000003012937,0.000007682072,0.00008696751,0.00001060236,0.0009652176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001346566,"threshold_uncertainty_score":0.004504681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473079246093049,"score_gpt":0.2164707745979204,"score_spread":0.1917399821369899,"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."}}