{"id":"W1992933196","doi":"10.1007/s11340-014-9863-5","title":"Application of Digital Image Correlation (DIC) in Dynamic Notched Semi-Circular Bend (NSCB) Tests","year":2014,"lang":"en","type":"article","venue":"Experimental Mechanics","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital image correlation; Materials science; Fracture toughness; Fracture mechanics; Split-Hopkinson pressure bar; Solid mechanics; Composite material; Fracture (geology); Displacement (psychology); Brittleness; Toughness; Deformation (meteorology); Structural engineering; Strain rate; 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":[0.0001045901,0.0001568857,0.0001808005,0.0000986116,0.00002847516,0.00002374984,0.0001245268,0.0001036868,0.000008676954],"category_scores_gemma":[0.0000166356,0.0001832371,0.00005325213,0.0001409051,0.000004543253,0.0002162746,0.0000468541,0.0001165137,0.00002302425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429516,"about_ca_system_score_gemma":0.000007139272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001005287,"about_ca_topic_score_gemma":0.000004510187,"domain_scores_codex":[0.9991193,0.00001018602,0.0003039061,0.0002030179,0.0001739029,0.0001896329],"domain_scores_gemma":[0.9996071,0.00002046654,0.00005672357,0.0002380873,0.00002390853,0.00005372739],"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":[0.000005622177,0.00006093676,0.00001469801,0.00002784726,0.000008119438,6.934862e-7,0.0003172882,0.04547787,0.9472589,0.004169197,0.00000557142,0.002653288],"study_design_scores_gemma":[0.0003101322,0.00003867715,0.00001161292,0.00002130313,0.000003996573,0.000002764118,0.0001697817,0.7628759,0.2344701,0.001900254,0.00005668501,0.0001387836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3490885,0.0002415531,0.649838,0.000005308463,0.0001939687,0.000195602,0.000008025367,0.00009250775,0.0003366135],"genre_scores_gemma":[0.9982138,0.00001270991,0.001568483,0.00001058965,0.00002489463,0.0000421765,0.00007248449,0.00004793431,0.000006915444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.717398,"threshold_uncertainty_score":0.7472193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005594152797641328,"score_gpt":0.2250422419359871,"score_spread":0.2194480891383457,"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."}}