{"id":"W2412921862","doi":"10.1021/acs.nanolett.6b01163","title":"Dumbbell Defects in FeSe Films: A Scanning Tunneling Microscopy and First-Principles Investigation","year":2016,"lang":"en","type":"article","venue":"Nano Letters","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Materials Research; Canadian Institute for Advanced Research; Army Research Office; Gordon and Betty Moore Foundation","keywords":"Scanning tunneling microscope; Superconductivity; Atomic units; Condensed matter physics; Materials science; Superstructure; Dumbbell; Vacancy defect; Chemical physics; Annealing (glass); Nanoscopic scale; Dopant; Crystallographic defect; Doping; Crystallography; Nanotechnology; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002259125,0.0003445708,0.0004015821,0.0004066793,0.000555843,0.0004455969,0.0009777192,0.0008883113,0.001144973],"category_scores_gemma":[0.0003158932,0.0003023409,0.0003508018,0.0002454219,0.0005689551,0.0005969108,0.0002801658,0.0005384653,0.00009102693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005691517,"about_ca_system_score_gemma":0.0002964804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797713,"about_ca_topic_score_gemma":0.002491557,"domain_scores_codex":[0.9998945,0.00001271878,0.000003000451,0.000009763494,0.00005935403,0.00002069843],"domain_scores_gemma":[0.9999177,0.00003334777,0.00001094017,0.00001187156,0.00001519454,0.0000109496],"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":[0.0004472922,0.0009300845,0.005337144,0.001564673,0.0001865452,0.004008093,0.001168939,0.1402241,0.5838202,0.2275043,0.00423324,0.03057543],"study_design_scores_gemma":[0.00006928143,0.0002279407,0.003111874,0.0000399506,0.00002087682,0.0003852102,0.0001639264,0.9618317,0.0230974,0.009767481,0.001256385,0.00002788118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808795,0.001085198,0.01116203,0.0003860063,0.00003066704,0.00005532774,0.0001077059,0.0001201019,0.006173578],"genre_scores_gemma":[0.9924403,0.0006002254,0.005882279,0.00005120619,0.00001223729,0.00003534863,0.00009245832,0.00001697917,0.0008688999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001797713,"threshold_uncertainty_score":0.004129469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098624442907914,"score_gpt":0.264677311124404,"score_spread":0.2336910666953249,"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."}}