{"id":"W2983138072","doi":"10.1063/1.5121841","title":"Intensification of shock damage through heterogeneous phase transition and dislocation loop formation due to presence of pre-existing line defects in single crystal Cu","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Materials science; Dislocation; Shock (circulatory); Condensed matter physics; Crystal (programming language); Enhanced Data Rates for GSM Evolution; Deformation (meteorology); Phase transition; Critical resolved shear stress; Phase (matter); Partial dislocations; Single crystal; Shock wave; Stress (linguistics); Crystallography; Shear (geology); Composite material; Mechanics; Chemistry; Physics","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":[0.0001190615,0.0001529567,0.0002263418,0.0002847288,0.0002240211,0.0002579761,0.0002005086,0.0002312845,0.0005179363],"category_scores_gemma":[0.0003055365,0.0001701405,0.0001214287,0.0002142045,0.0003580678,0.0002000894,0.0001989184,0.0002706915,0.00004941911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227169,"about_ca_system_score_gemma":0.0001798031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482607,"about_ca_topic_score_gemma":0.002157207,"domain_scores_codex":[0.9998914,0.000008784709,0.000006693246,0.00002142907,0.00004191905,0.00002973062],"domain_scores_gemma":[0.9997719,0.00004069898,0.00006192338,0.00003969148,0.00005994795,0.00002577258],"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":[0.0001589833,0.00001721105,0.00436348,0.00007522196,0.00001426768,0.0003266268,0.0001587339,0.001206438,0.9904616,0.00008628501,0.00004003185,0.003091114],"study_design_scores_gemma":[0.000006580606,0.0002661868,0.03354546,0.000006733334,0.00001447222,0.0002936332,0.0001785329,0.005542576,0.95967,0.00007372977,0.0003931398,0.000008754871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998868,0.0001000753,0.0008386152,0.000006724226,0.000002377555,0.000004176155,0.00002037351,0.00001999052,0.0001396306],"genre_scores_gemma":[0.9994403,0.00003716454,0.0003261866,0.000004303634,5.094772e-7,0.000003052086,0.00002454473,0.000004296171,0.0001596155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001482607,"threshold_uncertainty_score":0.002947927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277319235126292,"score_gpt":0.2680332565281869,"score_spread":0.2403013330155577,"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."}}