{"id":"W2042308273","doi":"10.1016/j.ijsolstr.2012.08.023","title":"Numerical study of the grain-size dependent Young’s modulus and Poisson’s ratio of bulk nanocrystalline materials","year":2012,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Nanocrystalline material; Grain boundary; Modulus; Poisson distribution; Elastic modulus; Length scale; Young's modulus; Grain size; Finite element method; Displacement field; Elasticity (physics); Displacement (psychology); Poisson's ratio; Composite material; Mechanics; Mathematics; Thermodynamics; Physics; Nanotechnology; Microstructure","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":[0.0003403053,0.0001074628,0.0002720605,0.00003977641,0.00004987157,0.00005060353,0.0002921581,0.00004602565,0.0002541802],"category_scores_gemma":[0.0001484335,0.00005760942,0.00004371407,0.00002606654,0.00009509318,0.0001685353,0.000127762,0.00008417737,2.280295e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001664707,"about_ca_system_score_gemma":0.00002625708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478867,"about_ca_topic_score_gemma":0.000007588736,"domain_scores_codex":[0.9987092,0.00009386054,0.0005317496,0.00008985014,0.0004548838,0.0001204747],"domain_scores_gemma":[0.9990895,0.00003539825,0.0004672264,0.00009378654,0.0002510031,0.00006306],"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":[0.0002368081,0.00006957725,0.001905443,0.00001531047,0.00006217985,0.000002807003,0.001962762,0.00002616696,0.9943282,0.0009862432,0.00009572387,0.0003088061],"study_design_scores_gemma":[0.0009291396,0.0003002985,0.04902135,0.00003728273,0.00004924778,0.0003770507,0.0006728383,0.00001095798,0.9437813,0.004635646,0.00009846612,0.00008641105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967873,0.0004202593,0.0001617018,0.0001752926,0.002294139,0.0001004723,0.00003361133,0.000002214516,0.00002504731],"genre_scores_gemma":[0.9991789,0.00003777714,0.0003300434,0.00007368537,0.0002988034,8.924405e-7,4.315593e-7,0.000006694926,0.00007276339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05054686,"threshold_uncertainty_score":0.2783095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012036160348794,"score_gpt":0.2576219835267333,"score_spread":0.2455858231779393,"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."}}