{"id":"W2967057726","doi":"10.1364/oe.20.013195","title":"Influence of atmospheric turbulence on optical communications using orbital angular momentum for encoding","year":2012,"lang":"en","type":"article","venue":"Optics Express","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Quantum key distribution; Angular momentum; Physics; Turbulence; Free-space optical communication; Optics; Quantum channel; Channel (broadcasting); Optical communication; Channel capacity; Photon; Atmospheric turbulence; Phase (matter); Computational physics; Quantum; Telecommunications; Computer science; Quantum mechanics; Quantum information; Mechanics","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":[0.0003019549,0.0002668727,0.0002028654,0.0001802714,0.0009814841,0.0005197587,0.0001791967,0.0002135332,0.0005761491],"category_scores_gemma":[0.001366717,0.0001206647,0.000120224,0.0003278886,0.0009489296,0.0005627638,0.0004085318,0.0003790655,0.00008822885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005836152,"about_ca_system_score_gemma":0.0004538147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005398219,"about_ca_topic_score_gemma":0.004371098,"domain_scores_codex":[0.9996859,0.00007049678,0.00001649759,0.00003103161,0.0001214061,0.00007469684],"domain_scores_gemma":[0.998821,0.0007866245,0.0001608275,0.00006950585,0.0001016501,0.00006029669],"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":[0.001162203,0.0002018173,0.02455532,0.0001384718,0.00003759174,0.0008528256,0.0003585519,0.05100068,0.8973849,0.008880218,0.0005910416,0.0148364],"study_design_scores_gemma":[0.0001407541,0.001587813,0.03785008,0.00003783528,0.00009055799,0.0003586136,0.0002632094,0.2608435,0.6933074,0.003142512,0.002207864,0.000169764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931124,0.000209137,0.004428108,0.0001617243,0.00003501512,0.000009761665,0.00005747407,0.00006648683,0.001919803],"genre_scores_gemma":[0.9991274,0.0000779067,0.000657674,0.00001362426,0.00001035115,0.000002367316,0.00001384742,0.00000531252,0.00009151664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005398219,"threshold_uncertainty_score":0.0107336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240504206969005,"score_gpt":0.2839480730641181,"score_spread":0.2598976523672176,"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."}}