{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000148728,0.0002868374,0.000150939,0.0001641316,0.000168669,0.0002680376,0.0004444392,0.0003588208,0.001958228],"category_scores_gemma":[0.00021013,0.0001467167,0.00009730172,0.0001742208,0.0002084011,0.000405363,0.0003614991,0.0003421831,0.0004298079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005080623,"about_ca_system_score_gemma":0.0002413794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000427122,"about_ca_topic_score_gemma":0.002531346,"domain_scores_codex":[0.9998751,0.0000115486,0.000005793024,0.00004399997,0.00004973934,0.00001385915],"domain_scores_gemma":[0.9998648,0.00004167129,0.00003115531,0.00002884942,0.00002115219,0.00001244789],"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":[0.0000544512,0.00003755053,0.0001843276,0.0001076257,0.000006176313,0.00003624313,0.00003327265,0.001135007,0.9774465,0.004413602,0.0007869654,0.01575832],"study_design_scores_gemma":[0.00002683028,0.0001115818,0.000562509,0.00001741791,0.000006077911,0.0001092784,0.00002754111,0.02511966,0.9567667,0.001483801,0.01574728,0.00002144533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7377244,0.008400196,0.2208749,0.001134906,0.0007289671,0.0002284994,0.00111738,0.001889681,0.02790102],"genre_scores_gemma":[0.8490393,0.001287485,0.1418636,0.0001293996,0.00004162544,0.00009932589,0.0002082952,0.0000607886,0.007270203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001958228,"threshold_uncertainty_score":0.006550908,"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."}}