{"id":"W2041767083","doi":"10.1016/j.proeng.2011.04.375","title":"Increased accuracy of SHPB test apparatus to better evaluate naval steels","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Split-Hopkinson pressure bar; Strain rate; Test data; Compression (physics); Deformation (meteorology); Materials science; Ultimate tensile strength; Shipbuilding; Structural engineering; Computer science; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003437626,0.0002143456,0.0002880872,0.000120405,0.00003690371,0.00004708496,0.0003079222,0.00008046998,0.0006500169],"category_scores_gemma":[0.0007308103,0.0001967439,0.00004795235,0.0001952523,0.000023905,0.0002828368,0.0001112782,0.00008221522,0.0004283361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004118939,"about_ca_system_score_gemma":0.00007171786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001297779,"about_ca_topic_score_gemma":0.000003414821,"domain_scores_codex":[0.9986879,0.00001374884,0.0003400877,0.0002501267,0.0002715004,0.0004366847],"domain_scores_gemma":[0.9992155,0.0000974057,0.00008485729,0.0002598854,0.000111074,0.0002312086],"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":[0.00003146902,0.00005285814,0.001530931,0.0001105907,0.000004357902,0.000005478735,0.001311393,0.00007215451,0.9965103,0.00003404829,0.000139026,0.0001973968],"study_design_scores_gemma":[0.0003123526,0.0001291008,0.0235002,0.00007017451,0.00003507725,0.000008848122,0.00002254351,0.0001642456,0.9751181,0.00001227301,0.0003708145,0.0002562667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978774,0.00002052127,0.0007054674,0.00002450103,0.0005342912,0.0003651139,0.00006074073,0.0001915103,0.0002204475],"genre_scores_gemma":[0.9878739,0.000002282032,0.01174169,0.00005582393,0.0001622526,0.00008503052,0.000005805967,0.00003653315,0.00003666396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02196927,"threshold_uncertainty_score":0.8022984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125642709265473,"score_gpt":0.2638748786559016,"score_spread":0.2326184515632469,"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."}}