{"id":"W2343948806","doi":"10.1515/nanoph-2016-0029","title":"Multifrequency sources of quantum correlated photon pairs on‐chip: a path toward integrated Quantum Frequency Combs","year":2016,"lang":"en","type":"article","venue":"Nanophotonics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; European Commission; City University of Hong Kong","keywords":"Photonics; Quantum technology; Quantum; Quantum information science; Computer science; Photon; Quantum sensor; Quantum imaging; Qubit; Quantum network; Physics; Quantum information; Electronic engineering; Optoelectronics; Quantum entanglement; Quantum mechanics; Open quantum system; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003278415,0.0005503476,0.000734235,0.000179813,0.00008650219,0.00003494772,0.0006008392,0.0004682959,0.000457387],"category_scores_gemma":[0.0002563144,0.0003777236,0.0002655833,0.0005863479,0.0002541875,0.0002107968,0.00005623587,0.0005086169,0.0003008513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002580689,"about_ca_system_score_gemma":0.000163275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003043662,"about_ca_topic_score_gemma":0.0000234168,"domain_scores_codex":[0.9972513,0.00009010833,0.0008775414,0.000512904,0.000503803,0.0007643364],"domain_scores_gemma":[0.9982157,0.0004250333,0.0001902724,0.000699643,0.0001910684,0.000278228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005802393,0.001277905,0.008843203,0.001149696,0.0009856533,0.00041377,0.00381489,0.002277416,0.8454594,0.1238077,0.001808306,0.009581816],"study_design_scores_gemma":[0.004089647,0.001636995,0.002232029,0.001968092,0.0001714526,0.00004526092,0.0005983359,0.6691282,0.2991016,0.01012506,0.009185998,0.001717375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886134,0.001349318,0.001466532,0.00008352849,0.001190503,0.0005185727,0.000253403,0.0007308769,0.005793844],"genre_scores_gemma":[0.9970621,0.001310037,0.001178543,0.000101609,0.00001930012,0.00006454133,0.00002716933,0.0001121569,0.0001245627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6668507,"threshold_uncertainty_score":0.9998675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374374755553672,"score_gpt":0.2159225600743311,"score_spread":0.2021788125187944,"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."}}