{"id":"W2738510350","doi":"","title":"Characterisation of high strain rate dependency of 3D woven CFRP materials","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Materials science; Composite material; Stiffness; Composite number; Strain rate; Structural engineering; Work (physics); Characterization (materials science); Mechanical engineering; 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":[0.000313798,0.0003835725,0.0002377237,0.0006496336,0.0002232432,0.0004522316,0.0002654091,0.0007051797,0.002279454],"category_scores_gemma":[0.0006380675,0.0003118116,0.0002360563,0.0004729998,0.0004646677,0.0003622292,0.0001814743,0.0004317984,0.0003253242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948297,"about_ca_system_score_gemma":0.0001415704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005266086,"about_ca_topic_score_gemma":0.001021413,"domain_scores_codex":[0.9996409,0.00002452743,0.00001926897,0.00007814667,0.000193307,0.00004374877],"domain_scores_gemma":[0.9992821,0.0002164505,0.0001643937,0.0001415381,0.000163902,0.00003162822],"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":[0.00006152197,0.00001539812,0.0002804013,0.00004756416,0.000003018063,0.00006115017,0.00006247614,0.0006232352,0.9972441,0.00005697013,0.00003744829,0.00150677],"study_design_scores_gemma":[0.000005253621,0.0001436408,0.01432099,0.000009148674,0.00001103722,0.000177578,0.000056733,0.00296419,0.9812443,0.00004809511,0.001005228,0.00001384826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920689,0.0005234662,0.004233977,0.00002775979,0.00001829763,0.00002198166,0.0003480253,0.0001565545,0.002601004],"genre_scores_gemma":[0.9954669,0.000197191,0.002604533,0.0000199029,0.000005047621,0.00002900667,0.0002301253,0.00006933934,0.001377865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002279454,"threshold_uncertainty_score":0.00762558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128065455976013,"score_gpt":0.2170961847161684,"score_spread":0.2042896391185671,"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."}}