{"id":"W2964259901","doi":"10.1080/2374068x.2017.1413527","title":"Generalisation of phonon confinement model for interpretation of Raman line-shape from nano-silicon","year":2017,"lang":"en","type":"article","venue":"Advances in Materials and Processing Technologies","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Science and Engineering Research Board; Ministry of Education, India; UGC-DAE Consortium for Scientific Research, University Grants Commission; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Raman spectroscopy; Phonon; Raman scattering; Materials science; Silicon; Coherent anti-Stokes Raman spectroscopy; Line (geometry); Semiconductor; Optics; Condensed matter physics; Optoelectronics; Physics; Geometry","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":[0.0004395298,0.0006995641,0.0003376912,0.0005225129,0.0002377438,0.0004303296,0.001102509,0.0007165178,0.001712306],"category_scores_gemma":[0.0005885984,0.0001347191,0.0007670398,0.0004360022,0.0003727292,0.0007421747,0.0004668185,0.0005895124,0.0009021466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004417085,"about_ca_system_score_gemma":0.000416145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345707,"about_ca_topic_score_gemma":0.0009724495,"domain_scores_codex":[0.9997761,0.00003863429,0.000009442439,0.00005462699,0.00009833488,0.00002292043],"domain_scores_gemma":[0.9998355,0.00004875588,0.00001344931,0.00005022226,0.00004394786,0.000008050741],"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":[0.0001081188,0.0001346789,0.00158667,0.0006083825,0.0000633626,0.001051248,0.0003946676,0.3455225,0.318308,0.2619445,0.002972423,0.06730554],"study_design_scores_gemma":[0.00000591456,0.00004745389,0.0004567031,0.0000153989,0.000005620434,0.0003386257,0.00003611847,0.9417438,0.01138087,0.04296798,0.002981909,0.00001969677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0213186,0.0003750481,0.9737566,0.0001116244,0.00005842134,0.00007478377,0.0001840798,0.0004843614,0.003636559],"genre_scores_gemma":[0.7475238,0.001451359,0.2392121,0.0002690168,0.0001124221,0.0005390503,0.0007501546,0.0004515259,0.0096905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001712306,"threshold_uncertainty_score":0.005728185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138573192553571,"score_gpt":0.3015229680697199,"score_spread":0.2801372361441842,"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."}}