{"id":"W3165650795","doi":"10.1364/oe.423361","title":"2048-QAM transmission at 15 GBd over 100 km using geometric constellation shaping","year":2021,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"Engineering and Physical Sciences Research Council; Royal Academy of Engineering","keywords":"Quadrature amplitude modulation; Transmission (telecommunications); Digital signal processing; QAM; Optics; Free-space optical communication; Computer science; Constellation; Optical communication; Electronic engineering; Modulation (music); Transmission system; Telecommunications; Data transmission; Bit error rate; Physics; Computer hardware; Engineering; Acoustics; Decoding methods","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":[0.0004299867,0.0003798197,0.0002084213,0.0002087121,0.0001901399,0.0003749089,0.0003266272,0.0003392732,0.0008548485],"category_scores_gemma":[0.0008302183,0.0001530735,0.0001150972,0.0003938449,0.0006502805,0.0004381909,0.0003950474,0.0002636643,0.0001819678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000482655,"about_ca_system_score_gemma":0.0003371218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007721054,"about_ca_topic_score_gemma":0.0009978837,"domain_scores_codex":[0.9997049,0.00006449422,0.00001447192,0.00005401598,0.0001056282,0.00005661247],"domain_scores_gemma":[0.9993638,0.0002717554,0.0001773582,0.00008023452,0.00007434137,0.00003244904],"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":[0.0001865015,0.00006104662,0.002256715,0.00009535552,0.00001688034,0.0001605113,0.0003003038,0.01105841,0.9731743,0.002700448,0.00008759006,0.009901864],"study_design_scores_gemma":[0.00004355179,0.0007006897,0.003219982,0.00001450888,0.00002415606,0.0001925137,0.00008928614,0.04611058,0.9467416,0.0008059233,0.002028679,0.00002853781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925525,0.00005952154,0.005919935,0.00004567616,0.000004540101,0.00001154045,0.00003263004,0.000066955,0.001306887],"genre_scores_gemma":[0.9933785,0.00003387825,0.006197325,0.00001054699,0.000002808285,0.000005117627,0.00002726728,0.000009973114,0.0003343901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008548485,"threshold_uncertainty_score":0.003501892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331705326401988,"score_gpt":0.2499227922169575,"score_spread":0.2166057389529376,"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."}}