{"id":"W3034621210","doi":"10.1038/s41534-020-00293-y","title":"Joint measurement of time–frequency entanglement via sum frequency generation","year":2020,"lang":"en","type":"preprint","venue":"npj Quantum Information","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantum entanglement; Photon; Photon entanglement; Quantum metrology; Metrology; Joint (building); Physics; Time–frequency analysis; Quantum; Frequency band; Coding (social sciences); Computer science; Quantum mechanics; Optics; Mathematics; Telecommunications; Quantum network; Statistics; Bandwidth (computing); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001509984,0.0004445312,0.0005429597,0.0008293572,0.0004063415,0.0009142107,0.001191998,0.000760179,0.001825992],"category_scores_gemma":[0.003128893,0.0002517771,0.0003638496,0.0007323135,0.001920836,0.002204112,0.002455811,0.001121734,0.0002440862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006040473,"about_ca_system_score_gemma":0.000522422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002572381,"about_ca_topic_score_gemma":0.0002401087,"domain_scores_codex":[0.998049,0.0005661716,0.00004963766,0.0001975928,0.000998018,0.0001396228],"domain_scores_gemma":[0.9972046,0.001473383,0.0003765169,0.0005862109,0.0002368461,0.0001224799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009146785,0.0004405042,0.00260664,0.0002093427,0.0001503707,0.0003929147,0.00032343,0.08921557,0.344168,0.4687292,0.000972367,0.09187702],"study_design_scores_gemma":[0.00007907722,0.0002670644,0.0008523903,0.00001835943,0.00003488623,0.0002534795,0.00004005757,0.7539086,0.176931,0.06517722,0.002361299,0.00007653077],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1810823,0.0002266446,0.8111703,0.000296922,0.00007922169,0.00008312899,0.00006285795,0.0002746677,0.0067239],"genre_scores_gemma":[0.9133242,0.00007910125,0.08515193,0.00004895642,0.00002918738,0.00005233876,0.0000263095,0.00003000559,0.001257986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001825992,"threshold_uncertainty_score":0.007985651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04607932471722755,"score_gpt":0.234574292722946,"score_spread":0.1884949680057185,"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."}}