{"id":"W2937105903","doi":"10.1103/physrevapplied.12.024062","title":"Nanophotonic Quantum Storage at Telecommunication Wavelength","year":2019,"lang":"en","type":"article","venue":"Physical Review Applied","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Australian Association; Natural Sciences and Engineering Research Council of Canada; Alliance for Quantum Technologies, California Institute of Technology; Air Force Office of Scientific Research; Northrop Grumman; Division of Emerging Frontiers in Research and Innovation; National Science Foundation","keywords":"Quantum information science; Repeater (horology); Quantum channel; Quantum network; Nanophotonics; Quantum technology; Quantum sensor; Optoelectronics; Physics; Computer science; Telecommunications; Quantum entanglement; Quantum imaging; Quantum; Optics; Open quantum system; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002632384,0.0001637184,0.0003307889,0.00004813448,0.00009630486,0.0000489085,0.001027022,0.00002585357,0.0001095637],"category_scores_gemma":[0.00001050275,0.0001344295,0.000165183,0.000564677,0.00003001163,0.0002802454,0.0003383554,0.0001685564,0.005312643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005425126,"about_ca_system_score_gemma":0.00003248285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001735161,"about_ca_topic_score_gemma":4.548778e-7,"domain_scores_codex":[0.9988241,0.0000409692,0.0002897252,0.0002641157,0.0003254587,0.0002556296],"domain_scores_gemma":[0.9983407,0.00009293565,0.0001829111,0.001238325,0.00004534534,0.00009973375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003711637,0.00009965014,0.00000897367,0.0004170303,0.00001249667,2.032912e-7,0.0001841919,0.00000716051,0.004467187,0.9563249,0.001583221,0.0368913],"study_design_scores_gemma":[0.00146872,0.0002487281,0.003016364,0.0009320659,0.00006156466,0.00001384969,0.00003632684,0.2751254,0.01045037,0.05478365,0.6524274,0.001435495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7805788,0.01011318,0.02348306,0.002733111,0.0004843101,0.003445985,0.000006829512,0.0009774989,0.1781772],"genre_scores_gemma":[0.991201,0.004422682,0.001361781,0.002809737,0.00001974564,0.0001065918,0.00001648203,0.000009941852,0.00005205735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9015412,"threshold_uncertainty_score":0.9954618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009585628139540088,"score_gpt":0.2532456054590708,"score_spread":0.2436599773195307,"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."}}