{"id":"W4400509263","doi":"10.1038/s41467-024-50208-0","title":"Tunable quantum emitters on large-scale foundry silicon photonics","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Air Force Office of Scientific Research; Division of Electrical, Communications and Cyber Systems; Division of Materials Research; European Commission; Natural Sciences and Engineering Research Council of Canada; Laboratory Directed Research and Development; U.S. Department of Defense; National Science Foundation","keywords":"Photonics; Silicon photonics; Scale (ratio); Optoelectronics; Silicon; Nanotechnology; Materials science; Computer science; Physics; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001506925,0.0002146312,0.0002698679,0.0001977048,0.0001606945,0.0005061646,0.0005841692,0.0003143321,0.0007271365],"category_scores_gemma":[0.0002652561,0.0001721548,0.000148357,0.0001501439,0.0003730278,0.0005571282,0.000388181,0.0004666819,0.0002578608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007825565,"about_ca_system_score_gemma":0.000226535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004342988,"about_ca_topic_score_gemma":0.001253556,"domain_scores_codex":[0.9998509,0.000009979677,0.000004861073,0.00003742288,0.0000743179,0.00002244233],"domain_scores_gemma":[0.9998719,0.00002959936,0.00003517238,0.00002817923,0.00001853366,0.00001671112],"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":[0.00003355256,0.00003642571,0.0003233755,0.00004832808,0.000006829948,0.0001258128,0.00007178565,0.001399937,0.9860566,0.005320149,0.0003238499,0.006253378],"study_design_scores_gemma":[0.00002315025,0.0001450955,0.001362174,0.00001408186,0.00001346662,0.0001324475,0.00003396625,0.01460551,0.9747478,0.001199096,0.0077108,0.00001244786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724876,0.001297417,0.0194173,0.0001868422,0.00008561538,0.00003404414,0.00008032557,0.0004209859,0.005989813],"genre_scores_gemma":[0.9732854,0.0005365376,0.02415226,0.00004982284,0.00002087975,0.00002157217,0.00006211276,0.00005569855,0.001815696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007825565,"threshold_uncertainty_score":0.005677819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237171808921274,"score_gpt":0.2715912856428733,"score_spread":0.2592195675536606,"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."}}