{"id":"W2112627185","doi":"10.1109/tcomm.2012.12.100185","title":"MPPM Constellation Selection for Free-Space Optical Communications","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Heuristics; Selection (genetic algorithm); SIGNAL (programming language); Algorithm; Computer science; Channel (broadcasting); Constellation; Figure of merit; Modulation (music); Compressed sensing; Constellation diagram; Position (finance); Theoretical computer science; Mathematics; Mathematical optimization; Artificial intelligence; Telecommunications; Physics; Bit error rate","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":[0.0008452338,0.0007737741,0.0007663924,0.0005778783,0.0003588793,0.0006898669,0.0007378297,0.001124789,0.001713631],"category_scores_gemma":[0.003376086,0.0003655275,0.0004592608,0.001149897,0.0009108441,0.001152427,0.0006275591,0.0007457951,0.0002354196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384367,"about_ca_system_score_gemma":0.0008068329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009823467,"about_ca_topic_score_gemma":0.001099262,"domain_scores_codex":[0.9994191,0.0002940873,0.00001237863,0.00007290556,0.0001254261,0.00007614338],"domain_scores_gemma":[0.99855,0.001140757,0.0001145097,0.00006179193,0.00006742609,0.00006548862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001290071,0.00006637891,0.0002722342,0.0001209667,0.00003593953,0.0001040884,0.00006341886,0.9272779,0.002273111,0.04092069,0.0009027476,0.02783349],"study_design_scores_gemma":[0.00002591854,0.00008324607,0.00008872162,0.000007135474,0.000009728429,0.00003433871,0.0000193408,0.9761335,0.0009785492,0.02177574,0.0008352046,0.000008580422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06579635,0.001152643,0.9263014,0.0005211473,0.00005720344,0.00006669022,0.00006894908,0.0001232888,0.005912352],"genre_scores_gemma":[0.7485858,0.001024296,0.2467698,0.0001574407,0.00007301367,0.0001171326,0.0001039839,0.00005250363,0.003116055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001713631,"threshold_uncertainty_score":0.006083369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04130605682960525,"score_gpt":0.2751747246043181,"score_spread":0.2338686677747128,"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."}}