{"id":"W3155408861","doi":"10.3389/fphy.2021.641341","title":"High-Resolution Optical Imaging and Sensing Using Quantum Emitters in Hexagonal Boron-Nitride","year":2021,"lang":"en","type":"article","venue":"Frontiers in Physics","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Hexagonal boron nitride; Nanotechnology; Materials science; Resolution (logic); Boron nitride; Image resolution; Realization (probability); Nanomaterials; Optoelectronics; Optics; Computer science; Physics; Graphene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004197294,0.0001458093,0.0002853974,0.00008815363,0.00007381988,0.0001740047,0.00009557851,0.00005249874,0.00001026028],"category_scores_gemma":[0.00007401684,0.0001596851,0.00003304975,0.0002634079,0.00016991,0.0002750611,0.0001297577,0.0001600451,0.000003779267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959293,"about_ca_system_score_gemma":0.0001807396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003639925,"about_ca_topic_score_gemma":0.0000158674,"domain_scores_codex":[0.9984314,0.0001587742,0.0002585945,0.0003787319,0.0002890487,0.0004834786],"domain_scores_gemma":[0.9995804,0.00005571909,0.00004830858,0.0001784511,0.00005367952,0.00008341549],"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":[0.00007241179,0.00007311844,0.006210499,0.00006581873,0.000004670007,0.0002316218,0.0001863049,0.003279089,0.9822314,0.000811942,0.0003318478,0.00650132],"study_design_scores_gemma":[0.001282819,0.00002036822,0.003598031,0.0002753951,0.00001902213,0.0000228742,0.001088101,0.1690492,0.8079653,0.01615009,0.00009761497,0.0004311357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977541,0.0004542614,0.02039676,0.0001432343,0.001245262,0.0000853195,0.00001632324,0.00002283822,0.00009497171],"genre_scores_gemma":[0.9671452,0.00003952145,0.03240075,0.0001137232,0.0002526635,0.00000259456,0.00001631383,0.00002126797,0.000007977724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1742661,"threshold_uncertainty_score":0.6511768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313644699630534,"score_gpt":0.2524585092512621,"score_spread":0.2393220622549568,"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."}}