{"id":"W4245505532","doi":"10.1149/ma2018-02/11/621","title":"Determining Strain, Chemical Composition, and Thermal Properties of Si/SiGe Nanostructures Via Raman Scattering Spectroscopy","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Phonon; Brillouin zone; Raman spectroscopy; Wave vector; Raman scattering; Condensed matter physics; Superlattice; Materials science; X-ray Raman scattering; Scattering; Brillouin scattering; Physics; Optics; Laser","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":[0.0002566648,0.0003465883,0.0002007774,0.0007679252,0.000245741,0.0003609118,0.0003172446,0.0002890818,0.000670647],"category_scores_gemma":[0.0005083639,0.0003362105,0.0001464514,0.0004806066,0.0002506222,0.0004269194,0.000110228,0.0002738658,0.0002959464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330479,"about_ca_system_score_gemma":0.0001691298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204133,"about_ca_topic_score_gemma":0.004098434,"domain_scores_codex":[0.9997297,0.00001172519,0.00001320513,0.00005323593,0.0001765088,0.0000156425],"domain_scores_gemma":[0.9998079,0.00004037193,0.00004052484,0.00001362532,0.00008530125,0.00001223136],"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":[0.00002510113,0.00002481487,0.004620818,0.00005893731,0.0000129536,0.00004263389,0.00003869371,0.001044273,0.9894488,0.000165192,0.00004860703,0.004469093],"study_design_scores_gemma":[0.000005095932,0.00009722891,0.03758491,0.00001648187,0.00002326212,0.0001357597,0.0001428729,0.0239076,0.9364622,0.0002256448,0.00138025,0.00001864813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777063,0.001516359,0.01593797,0.00003760337,0.00002324977,0.00005218869,0.001129691,0.0001357167,0.003461014],"genre_scores_gemma":[0.9850701,0.000878319,0.01229242,0.00002947236,0.00001058818,0.00005666986,0.0006948789,0.00004929652,0.0009181498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001204133,"threshold_uncertainty_score":0.002416372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210718346921293,"score_gpt":0.2319175744554312,"score_spread":0.2198103909862182,"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."}}