{"id":"W2989486735","doi":"","title":"Measuring sub-grain scale elastic and plastic deformations in polycrystalline metallic alloy by electron microscopy digital image correlation","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Digital image correlation; Crystallite; Materials science; Alloy; Grain boundary; Electron microscope; Grain size; Scale (ratio); Microscopy; Metal; Metallurgy; Composite material; Condensed matter physics; Optics; Microstructure; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002195477,0.0003660827,0.0004383034,0.0001658985,0.0004548034,0.001328308,0.000823507,0.0002773677,0.00005486077],"category_scores_gemma":[0.00181244,0.0003511824,0.0001060106,0.0001119319,0.0003244382,0.000601314,0.0009291874,0.0005839229,0.00004752546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541184,"about_ca_system_score_gemma":0.000187709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006006141,"about_ca_topic_score_gemma":0.001952476,"domain_scores_codex":[0.9968274,0.001045281,0.0006262723,0.0006995871,0.0003444174,0.0004570915],"domain_scores_gemma":[0.997134,0.0005385783,0.000543514,0.001048782,0.0005641882,0.0001709482],"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":[0.00002752595,0.0001231276,0.0002068399,0.0001334019,0.0000140639,0.000001364799,0.001424937,0.00005368019,0.9960909,0.0007265607,0.0001990075,0.0009985775],"study_design_scores_gemma":[0.0006699205,0.00000186515,0.0007088976,0.001348138,0.0000596578,0.00002028071,0.00005941655,0.01034959,0.9809799,0.003875619,0.001390445,0.0005363299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9084224,0.001455805,0.08669837,0.0009702174,0.000283162,0.0004700082,0.0002500136,0.0001264529,0.001323534],"genre_scores_gemma":[0.9925737,0.0003300801,0.005163649,0.00002520891,0.00001719083,0.0000487519,0.0006196054,0.00004334581,0.001178444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08415128,"threshold_uncertainty_score":0.999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056903727100248,"score_gpt":0.2159835279719389,"score_spread":0.2054144907009364,"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."}}