{"id":"W2896541727","doi":"10.1016/j.apsusc.2018.10.094","title":"Modified strain and elastic energy behavior of Ge islands formed on high-miscut Si(0 0 1) substrates","year":2018,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Laboratório Nacional de Luz Síncrotron; Environmental Studies Research Funds; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; European Commission; Ministério da Ciência, Tecnologia e Inovação; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; European Synchrotron Radiation Facility; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Faceting; Vicinal; Elastic energy; Materials science; Scanning tunneling microscope; Diffraction; Island growth; Crystallography; Substrate (aquarium); Condensed matter physics; Germanium; Monolayer; Lattice (music); Morphology (biology); Silicon; Epitaxy; Optics; Layer (electronics); Optoelectronics; Nanotechnology; Chemistry; Thermodynamics; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071645,0.0001917985,0.0001178783,0.0001815579,0.0001266534,0.0002621651,0.0002702023,0.0002707382,0.002017397],"category_scores_gemma":[0.0002107944,0.0001444115,0.00009878448,0.0001862927,0.0002085879,0.0001967716,0.00010849,0.0002105126,0.0001566385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017409,"about_ca_system_score_gemma":0.00007969231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844827,"about_ca_topic_score_gemma":0.002323563,"domain_scores_codex":[0.9999248,0.000005819437,0.000004273163,0.00001721227,0.00002324833,0.00002464698],"domain_scores_gemma":[0.9998937,0.00002561301,0.00002688622,0.00001464291,0.00002150852,0.00001762814],"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":[0.0002601604,0.00001561488,0.001141321,0.00002567307,0.00001067033,0.0001578616,0.00006237743,0.0005878703,0.9967297,0.0001093973,0.00004598107,0.0008533297],"study_design_scores_gemma":[0.0000139012,0.00021602,0.02855976,0.000006317639,0.00001643291,0.000097898,0.0001672257,0.005586874,0.9648814,0.00003670528,0.0004041975,0.00001334511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994941,0.00005004349,0.00006683396,0.000006285176,0.000003039678,0.00000104895,0.00004480773,0.00000546026,0.0003284267],"genre_scores_gemma":[0.9993021,0.00003309356,0.0001265006,0.000004411566,0.000001005641,0.000001691829,0.00006610515,0.000004213775,0.0004609388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002017397,"threshold_uncertainty_score":0.006748915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357148280924846,"score_gpt":0.2486684575260855,"score_spread":0.235096974716837,"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."}}