{"id":"W2085289441","doi":"10.1016/j.tsf.2005.09.180","title":"Dysprosium disilicide nanostructures on silicon(001) studied by scanning tunneling microscopy and transmission electron microscopy","year":2005,"lang":"en","type":"article","venue":"Thin Solid Films","topic":"Semiconductor materials and interfaces","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Division of Materials Research; National Science Foundation","keywords":"Silicide; Transmission electron microscopy; Scanning tunneling microscope; Materials science; Dysprosium; Silicon; High-resolution transmission electron microscopy; Nanostructure; Scanning electron microscope; Crystallography; Nanotechnology; Optoelectronics; Chemistry; Composite material; Inorganic chemistry","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":[0.00007651201,0.0001681656,0.00025632,0.0002539643,0.0003046182,0.0003641741,0.0003010176,0.0002405569,0.0007196852],"category_scores_gemma":[0.0001673255,0.0002311487,0.00009538134,0.0002220568,0.0002778471,0.0002540447,0.0001540906,0.0002970687,0.0001610579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004225659,"about_ca_system_score_gemma":0.0001283525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485521,"about_ca_topic_score_gemma":0.001844103,"domain_scores_codex":[0.9999377,0.000004141855,0.000002814422,0.0000113145,0.0000307701,0.00001331673],"domain_scores_gemma":[0.9999063,0.0000266862,0.00001923296,0.00001515162,0.00002383769,0.000008830264],"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":[0.0001120349,0.0000143116,0.000809133,0.00007327272,0.00001129984,0.0002371931,0.0001019504,0.0002892398,0.9960331,0.0008349351,0.0001145472,0.001368934],"study_design_scores_gemma":[0.0000518779,0.0002218299,0.02247914,0.00002448069,0.00003659973,0.0008653857,0.0004401066,0.007751022,0.9644676,0.0003814874,0.003259052,0.00002134004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971296,0.0003314022,0.0004966618,0.00001904228,0.000008550183,0.000007041814,0.0001087188,0.00001862175,0.001880312],"genre_scores_gemma":[0.9975315,0.0002901132,0.001099843,0.00001667363,0.000003551968,0.00001034543,0.000159451,0.00001267074,0.0008758203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001485521,"threshold_uncertainty_score":0.003065944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007425708672749177,"score_gpt":0.2846824694817945,"score_spread":0.2772567608090453,"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."}}