{"id":"W2344155988","doi":"10.1177/1548512916643768","title":"Development of an efficient numerical model for shaped charge analysis","year":2016,"lang":"en","type":"article","venue":"The Journal of Defense Modeling and Simulation Applications Methodology Technology","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada","funders":"","keywords":"Shaped charge; Rotational symmetry; Mechanics; Nonlinear system; Finite element method; Constitutive equation; Jet (fluid); Materials science; Armour; Deformation (meteorology); Computer simulation; Charge (physics); Structural engineering; Physics; Classical mechanics; Engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002732787,0.000108617,0.0004004296,0.0004143574,0.0001886819,0.000007075632,0.0002617824,0.0001618486,0.00002186433],"category_scores_gemma":[0.0002391142,0.00006240142,0.00006836106,0.0003075514,0.0001340291,0.00005456355,0.00005060844,0.0000703569,0.000002717131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002651276,"about_ca_system_score_gemma":0.00008057262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001760307,"about_ca_topic_score_gemma":0.000002139218,"domain_scores_codex":[0.9986549,0.0001920792,0.00070154,0.0001494969,0.0001246691,0.0001772978],"domain_scores_gemma":[0.9982814,0.0005329607,0.000478677,0.0002628773,0.0003856083,0.00005852691],"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":[0.0001485087,0.00005367876,0.00001767309,0.000004606552,0.00003743092,6.011241e-8,0.0005849654,0.4402266,0.5515298,0.001737418,4.226298e-7,0.005658897],"study_design_scores_gemma":[0.0004320405,0.00005954023,0.00002819707,0.000005876992,0.0003677637,0.00001126474,0.0001193903,0.9528339,0.04318681,0.002842029,0.00003207093,0.00008112357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.490929,0.00002535918,0.5086807,0.0001917033,0.0000216429,0.0001233652,0.000008845593,0.00001863747,7.390198e-7],"genre_scores_gemma":[0.6442566,0.000006705581,0.3556708,0.00001267466,0.00001652244,0.00002158182,0.000001440618,0.000006370617,0.000007340268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5126073,"threshold_uncertainty_score":0.2544656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344183248710775,"score_gpt":0.3918968643798415,"score_spread":0.257478539508764,"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."}}