{"id":"W3204444058","doi":"10.1038/s41566-021-00877-w","title":"Turbulence-resilient pilot-assisted self-coherent free-space optical communications using automatic optoelectronic mixing of many modes","year":2021,"lang":"en","type":"article","venue":"Nature Photonics","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Defense Security Cooperation Agency; Office of Naval Research; Multidisciplinary University Research Initiative; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Physics; Free-space optical communication; Optics; Optical communication; Quadrature amplitude modulation; Gaussian beam; Multiplexing; Gaussian; Turbulence; Amplitude; Beam (structure); Telecommunications; Computer science; Bit error rate; Quantum mechanics; Decoding methods","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":[0.0002013905,0.0001809706,0.0001383943,0.0001837404,0.000225984,0.0002371435,0.0003078637,0.0001947764,0.0005350456],"category_scores_gemma":[0.0003499188,0.0001432245,0.00009830936,0.0001789759,0.000330131,0.0004296176,0.0004856099,0.0002076416,0.0001142574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423439,"about_ca_system_score_gemma":0.0002117285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000259745,"about_ca_topic_score_gemma":0.000568021,"domain_scores_codex":[0.9998881,0.00002041035,0.000006591215,0.00002214479,0.00004461934,0.00001820723],"domain_scores_gemma":[0.9996971,0.00007270696,0.0001125244,0.0000444161,0.000046624,0.00002677248],"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":[0.000116392,0.00007571755,0.001265861,0.00002681389,0.00001339958,0.00008818759,0.00006675986,0.003114118,0.9827611,0.001593088,0.00009773595,0.0107809],"study_design_scores_gemma":[0.00004440375,0.0005860089,0.002789024,0.000007800296,0.00001605329,0.0002362404,0.00002833264,0.1260869,0.8682583,0.0006229483,0.001295913,0.00002813241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614802,0.00009275962,0.03726619,0.00006788535,0.00001977401,0.00001644702,0.00001860673,0.0001683786,0.0008696741],"genre_scores_gemma":[0.9901224,0.00002574696,0.009306466,0.00001641163,0.000005913335,0.000007065318,0.00001291384,0.00000597622,0.0004970551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005350456,"threshold_uncertainty_score":0.001789868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767023288563724,"score_gpt":0.2663029042502818,"score_spread":0.2486326713646446,"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."}}