{"id":"W1502159770","doi":"","title":"Receiver design for wireless optical MIMO channels with magnification","year":2009,"lang":"en","type":"article","venue":"International Conference on Telecommunications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Bin; MIMO; Channel (broadcasting); Computer science; Electronic engineering; Radio receiver design; Interference (communication); Equalization (audio); Magnification; Wireless; Frequency domain; Bit error rate; Telecommunications; Algorithm; Engineering; Transmitter; Artificial intelligence","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":[0.0001770604,0.0002065946,0.0001826418,0.0002092062,0.0001638609,0.0001497544,0.001593136,0.0001387547,0.00009204884],"category_scores_gemma":[0.0001177837,0.0001971381,0.00005476617,0.0002206003,0.0001450373,0.0002389543,0.00004931799,0.0003578252,0.00009036034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445296,"about_ca_system_score_gemma":0.00004550042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000222075,"about_ca_topic_score_gemma":0.000006735053,"domain_scores_codex":[0.9989479,0.00004303434,0.0003261456,0.0002232271,0.0002176715,0.0002420729],"domain_scores_gemma":[0.9979385,0.0003788665,0.00007379959,0.001102494,0.0004356614,0.00007069773],"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":[0.00008356817,0.0002854255,0.00001468862,0.000008916239,0.00008001426,6.009029e-7,0.0001463991,0.009155858,0.006179252,0.8521101,0.001723296,0.1302118],"study_design_scores_gemma":[0.001619978,0.0009696615,0.002498819,0.0002583207,0.00004769869,0.00001950801,0.0005678291,0.8367745,0.07685619,0.06153802,0.01778774,0.001061752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01836115,0.0002212444,0.8252491,0.04708358,0.0003237517,0.001511396,0.0000643285,0.00232535,0.1048601],"genre_scores_gemma":[0.8853298,0.001253669,0.1125052,0.0001570719,0.00002982635,0.0003747204,0.0001193974,0.0000261277,0.0002041195],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8669687,"threshold_uncertainty_score":0.8039057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07080429508220645,"score_gpt":0.2972419424673385,"score_spread":0.2264376473851321,"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."}}