{"id":"W2094452001","doi":"10.1364/ofc.2012.om2h.5","title":"Decision Directed Least Radius Distance Algorithm for Blind Equalization in a Dual-polarization 16-QAM System","year":2012,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference","topic":"Optical Network Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Citation; Quadrature amplitude modulation; Computer science; QAM; Telecommunications; Algorithm; Blind equalization; Equalization (audio); World Wide Web; Bit error rate; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004032502,0.0002127351,0.0002825177,0.0001359083,0.0001135208,0.0001052481,0.0003394308,0.0002741792,0.00003908465],"category_scores_gemma":[0.0003444342,0.0002204733,0.000046447,0.000571913,0.000117075,0.0004486154,0.0001392683,0.00029765,0.00006535011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109109,"about_ca_system_score_gemma":0.0000207988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006613758,"about_ca_topic_score_gemma":0.0000328814,"domain_scores_codex":[0.9985525,0.00008287774,0.0005203921,0.0002048916,0.0002139982,0.0004253188],"domain_scores_gemma":[0.9981158,0.0007368836,0.00006908888,0.000771108,0.0001973468,0.0001097365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000636822,0.0001923748,0.0006481085,0.0001527537,0.00003776807,9.000188e-7,0.0002518952,0.002719772,0.0008070466,0.516479,0.000346327,0.4783005],"study_design_scores_gemma":[0.0009250148,0.0000350361,0.001827537,0.0003865406,0.00002933609,0.000008024432,0.0001762749,0.9864008,0.001219944,0.001304375,0.007298355,0.0003887923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02221144,0.001222687,0.9686708,0.0001879341,0.0002221867,0.0007437905,0.00002846668,0.001195256,0.005517391],"genre_scores_gemma":[0.7715122,0.0001562179,0.227832,0.00000880016,0.00003618926,0.0001648449,0.0001731871,0.00003373967,0.00008291335],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.983681,"threshold_uncertainty_score":0.899064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826069142858178,"score_gpt":0.2649509645094654,"score_spread":0.2366902730808836,"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."}}