{"id":"W2016021465","doi":"10.1063/1.4886598","title":"Raman scattering in Si/SiGe nanostructures: Revealing chemical composition, strain, intermixing, and heat dissipation","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Thermal properties of materials","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Division of Electrical, Communications and Cyber Systems; Nanjing Institute of Technology; National Science Foundation","keywords":"Raman scattering; Raman spectroscopy; Materials science; Nanostructure; Transmission electron microscopy; Dissipation; Strain (injury); Optoelectronics; Silicon; Nanotechnology; Optics; Physics; Thermodynamics","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":[0.0001707529,0.0002588022,0.0001758455,0.0002323361,0.0002256796,0.000222685,0.0001681773,0.0001969445,0.0004078318],"category_scores_gemma":[0.0002413377,0.0001802216,0.0002309931,0.0001593529,0.0003362983,0.0002139137,0.0001530535,0.0001576285,0.00009596066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342387,"about_ca_system_score_gemma":0.0001006977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009371074,"about_ca_topic_score_gemma":0.00122646,"domain_scores_codex":[0.9999137,0.000008064942,0.000004635301,0.00002224959,0.00003598511,0.00001536175],"domain_scores_gemma":[0.9999027,0.00004082642,0.00001573481,0.00001103982,0.00002063494,0.000009028315],"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":[0.00004121766,0.00001227766,0.0009808724,0.00001578436,0.000005646434,0.00002718878,0.00003963191,0.0009062638,0.9971105,0.00008554445,0.000008737798,0.0007662522],"study_design_scores_gemma":[0.000006949236,0.00008720191,0.009506759,0.000003827776,0.00001035668,0.00008687336,0.00004058062,0.01784482,0.9721734,0.00009845526,0.0001327418,0.000007994571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981568,0.0001027811,0.001333224,0.00001169117,0.000002317519,0.00000294736,0.00003355643,0.00001924796,0.0003373693],"genre_scores_gemma":[0.9977842,0.00008172618,0.001883522,0.000004877113,0.00000168491,0.000005271626,0.00003502865,0.000006965996,0.0001967028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009371074,"threshold_uncertainty_score":0.001863301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008027224707442,"score_gpt":0.2301661734044195,"score_spread":0.2200859011573451,"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."}}