{"id":"W2540635266","doi":"10.1364/ol.41.005055","title":"Reducing noise in a Raman quantum memory","year":2016,"lang":"en","type":"article","venue":"Optics Letters","topic":"Quantum optics and atomic interactions","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Four-wave mixing; Photon; Raman spectroscopy; Raman scattering; Optics; Physics; Broadband; Quantum; Bandwidth (computing); Optoelectronics; Materials science; Nonlinear optics; Computer science; Laser; Telecommunications; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001952373,0.0001747798,0.0002376627,0.000173094,0.0002785425,0.0005100233,0.0006969685,0.0004539499,0.001920572],"category_scores_gemma":[0.0005855534,0.0001184186,0.0000802064,0.0001457885,0.0005104537,0.0009078559,0.000621543,0.0003995756,0.0003947771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000270021,"about_ca_system_score_gemma":0.0002083794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246982,"about_ca_topic_score_gemma":0.0003721955,"domain_scores_codex":[0.999867,0.00001401714,0.000006719946,0.00002606232,0.00005572989,0.00003043901],"domain_scores_gemma":[0.99975,0.0001095669,0.00003914404,0.00003855496,0.00004099128,0.00002184995],"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":[0.0001593359,0.0000918552,0.0005460007,0.00005910009,0.000006912266,0.0001688397,0.0001016986,0.002745854,0.9672393,0.01154044,0.0003595536,0.0169811],"study_design_scores_gemma":[0.00002133774,0.0003208814,0.0003874982,0.000009345197,0.00001288289,0.0001833674,0.00004753874,0.03134954,0.9617242,0.002750758,0.003175096,0.00001768885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624907,0.0006011626,0.02964191,0.0004509268,0.00008713674,0.00002190386,0.00004074501,0.0004901746,0.006175256],"genre_scores_gemma":[0.9897236,0.0001133002,0.007394308,0.00009559704,0.00001873741,0.00001410307,0.00002455922,0.0000245352,0.002591311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001920572,"threshold_uncertainty_score":0.006424963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009207819498204565,"score_gpt":0.2377477956839526,"score_spread":0.228539976185748,"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."}}