{"id":"W4388449324","doi":"10.1021/acs.nanolett.3c02120","title":"Multicone Diamond Waveguides for Nanoscale Quantum Sensing","year":2023,"lang":"en","type":"article","venue":"Nano Letters","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"H2020 European Research Council; National Center of Competence in Research Quantum Science and Technology; Natural Sciences and Engineering Research Council of Canada; H2020 Future and Emerging Technologies; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Diamond; Nanopillar; Quantum sensor; Materials science; Nanolithography; Optoelectronics; Nanoscopic scale; Numerical aperture; Optics; Nanotechnology; Quantum; Fabrication; Wavelength; Quantum simulator; Physics; Nanostructure; Quantum computer","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000813373,0.0001820171,0.0002633799,0.000165249,0.0002301628,0.0002257086,0.0002609942,0.00008016475,0.000135594],"category_scores_gemma":[0.0002447675,0.0001622163,0.0001077031,0.000260402,0.0001593931,0.00015195,0.000106778,0.0000499102,0.0007926879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005118707,"about_ca_system_score_gemma":0.00004881955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001337276,"about_ca_topic_score_gemma":0.00001185028,"domain_scores_codex":[0.9980574,0.0000981111,0.0002937745,0.0004207376,0.0003757213,0.0007542431],"domain_scores_gemma":[0.9990333,0.0003589147,0.00006847693,0.0003372062,0.00007122556,0.0001308251],"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":[0.00004828818,0.00001656028,0.00003593854,0.00007929741,0.000005956491,0.00002414363,0.0001370471,0.0000591062,0.9752766,0.0001145718,0.02304524,0.001157181],"study_design_scores_gemma":[0.0006005919,0.00004879402,0.0001700976,0.00004552493,0.00001120718,0.000003026852,0.00009031779,0.001486447,0.9883007,0.0002311865,0.008780243,0.0002317945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938397,0.0000337248,0.0007061928,0.003085814,0.00136332,0.0003907629,0.000097676,0.0003297626,0.0001529905],"genre_scores_gemma":[0.9958495,0.00001287378,0.001641072,0.001506648,0.0003379225,0.00005334729,0.00004382066,0.00005096444,0.0005038748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.014265,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735324360995449,"score_gpt":0.2850870369030218,"score_spread":0.2577337932930673,"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."}}