{"id":"W2170798172","doi":"10.1088/0957-4484/23/15/155701","title":"Mechanical spectroscopy of nanocrystalline aluminum films: effects of frequency and grain size on internal friction","year":2012,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Materials science; Nanocrystalline material; Grain size; Internal friction; Annealing (glass); Grain boundary; Dissipation; Composite material; Grain growth; Metallurgy; Nanotechnology; Microstructure; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008161009,0.0001203224,0.000226636,0.00007574886,0.00003592744,0.000003018593,0.0001395814,0.0001406311,0.0001067025],"category_scores_gemma":[0.00002684296,0.0001103922,0.00006173586,0.0001445217,0.0001239301,0.00004287098,0.00006672607,0.0001888878,0.000003607318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001436275,"about_ca_system_score_gemma":0.00001136801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001269887,"about_ca_topic_score_gemma":0.000001173379,"domain_scores_codex":[0.9993075,0.0000184086,0.0002366755,0.0001578064,0.00006845142,0.0002112239],"domain_scores_gemma":[0.999436,0.00009371828,0.0001640351,0.000240858,0.00002936249,0.00003601495],"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":[0.000009267041,0.0001631379,0.00196334,0.00002020265,0.00001576264,1.233393e-7,0.0000296529,1.443256e-7,0.8040205,0.1920292,0.0001887874,0.001559939],"study_design_scores_gemma":[0.0002878493,0.0004652951,0.0002299972,0.00004521806,0.00002127562,0.000001868432,0.0000495158,0.00002329296,0.9770681,0.02106351,0.0006598493,0.00008421409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639084,0.00008964413,0.03497493,0.0001189343,0.0001021013,0.000246744,0.00002755262,0.00006275534,0.0004689452],"genre_scores_gemma":[0.9795346,0.0000125714,0.02024721,0.00001974733,0.00004260681,0.00005072125,0.000006988301,0.00001358634,0.00007193367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730476,"threshold_uncertainty_score":0.4501664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004078069915732288,"score_gpt":0.2471900510838665,"score_spread":0.2431119811681343,"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."}}