{"id":"W38454619","doi":"10.1177/08862605241234656","title":"The study of impact response of composite material","year":2008,"lang":"en","type":"article","venue":"Journal of Interpersonal Violence","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Finite element method; Structural engineering; Computational model; Composite number; Ultimate tensile strength; Materials science; Aerospace; Automotive industry; Glass fiber; Composite laminates; Deformation (meteorology); Material properties; Composite material; Computer science; Engineering; Simulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004828002,0.0001214517,0.0003231559,0.00009322302,0.00004383257,0.00001106409,0.0004554976,0.00003682906,0.00004964258],"category_scores_gemma":[0.00007209837,0.00007594114,0.0001751163,0.0001059961,0.000081666,0.0001017871,0.00004300509,0.0002071091,0.000002376691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005850723,"about_ca_system_score_gemma":0.00003547428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001351472,"about_ca_topic_score_gemma":9.063705e-7,"domain_scores_codex":[0.9986055,0.0001334342,0.0006582247,0.00005881718,0.0004045867,0.000139441],"domain_scores_gemma":[0.9989508,0.0003476337,0.0002629849,0.0001637071,0.0001972779,0.00007764364],"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":[0.003896529,0.000215941,0.008227017,0.00001345248,0.000124672,0.00007239693,0.001047835,0.0009435948,0.984326,0.000006127232,0.0001307713,0.0009956746],"study_design_scores_gemma":[0.001526871,0.006871238,0.2903792,0.001031113,0.0001003139,0.001067692,0.001236752,0.002145306,0.6953182,0.00005845643,0.00003161942,0.000233207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990505,0.0002360008,0.0002091355,0.00001407976,0.0003687009,0.00008607058,0.00001177642,0.000009448833,0.00001431268],"genre_scores_gemma":[0.9995302,0.00009755551,0.0002976056,0.000004129916,0.00005183082,0.000001159275,1.522954e-7,0.00001315832,0.000004237856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2890078,"threshold_uncertainty_score":0.309679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475434864413874,"score_gpt":0.268424658296588,"score_spread":0.2536703096524493,"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."}}