{"id":"W3125987218","doi":"","title":"ATOMISTIC INVESTIGATION OF DEFORMATION TWINNING IN NC FCC AND BCC MULTILAYERS","year":2018,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Crystal twinning; Materials science; Deformation (meteorology); Deformation mechanism; Nucleation; Nanocrystalline material; Crystallography; Composite material; Metallurgy; Nanotechnology; Microstructure; Physics; Thermodynamics; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001061734,0.0001497124,0.0002753114,0.0002602368,0.0005744701,0.0003086266,0.0005434878,0.0003296768,0.002355558],"category_scores_gemma":[0.0002425437,0.000281594,0.0003200358,0.0002278998,0.0002931293,0.0002956086,0.0002185688,0.000381489,0.0001293763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209608,"about_ca_system_score_gemma":0.0006663561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01621022,"about_ca_topic_score_gemma":0.01595406,"domain_scores_codex":[0.9999334,0.000005349171,0.000001732784,0.000006265683,0.00003049781,0.00002270563],"domain_scores_gemma":[0.99992,0.00002029973,0.00001453644,0.00001275014,0.00002114287,0.00001127452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003964987,0.0003390551,0.01433579,0.0003622242,0.0001346384,0.0005960603,0.0003841856,0.6721052,0.2765649,0.02158676,0.001799406,0.01139522],"study_design_scores_gemma":[0.00003065099,0.00006944428,0.008733959,0.000008846945,0.00001397984,0.00003671159,0.00008031682,0.980097,0.009490917,0.000728152,0.0006963528,0.00001376036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899361,0.0001152729,0.002487533,0.0001056349,0.000008649205,0.00001939165,0.0002081904,0.00007145878,0.007047742],"genre_scores_gemma":[0.9966913,0.00006432041,0.00251625,0.00001198351,0.00000217786,0.00001334773,0.0001126292,0.00001849487,0.0005694562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01621022,"threshold_uncertainty_score":0.03223175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273675364694166,"score_gpt":0.2544730539258297,"score_spread":0.241736300278888,"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."}}