{"id":"W1804403131","doi":"10.1109/icc.2003.1204302","title":"Soft quasi-maximum-likelihood detection for multiple-antenna channels","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Detector; MIMO; Algorithm; Channel state information; Computer science; Rayleigh fading; Phase-shift keying; Antenna (radio); Electronic engineering; Keying; Channel (broadcasting); Fading; Wireless; Mathematics; Topology (electrical circuits); Control theory (sociology); Telecommunications; Decoding methods; Bit error rate; Engineering; Combinatorics; 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":[0.00008325926,0.0001457089,0.0001407525,0.00009672351,0.00008548793,0.00002146638,0.0002124913,0.00009359846,0.000009376635],"category_scores_gemma":[0.00006550358,0.0001507728,0.00007183265,0.0001382615,0.00002163862,0.0002152647,0.00003097564,0.0001224689,0.00002961427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249888,"about_ca_system_score_gemma":0.000008160756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002568612,"about_ca_topic_score_gemma":0.0001267333,"domain_scores_codex":[0.9993162,0.000006971366,0.0002096527,0.0001411313,0.00007725322,0.0002487756],"domain_scores_gemma":[0.9993582,0.00008402421,0.00002906831,0.0004010852,0.00007013515,0.000057503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004347352,0.0002083075,0.00004687182,0.0001700104,0.00007494742,0.000001316766,0.0005516484,0.04583889,0.4137921,0.003247415,0.0001446766,0.5358803],"study_design_scores_gemma":[0.001043364,0.0001342812,0.00004481023,0.00004410715,0.000008908008,0.000006836466,0.0001354852,0.1621274,0.7856683,0.04471198,0.0057055,0.0003690439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007383666,0.0001709545,0.9886079,0.0001023189,0.0001884444,0.0004476661,0.000005690938,0.002717966,0.0003753255],"genre_scores_gemma":[0.9124563,0.0001103095,0.08691256,0.00005330337,0.00005481787,0.0003174121,0.00001022168,0.00005449521,0.00003063559],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9050726,"threshold_uncertainty_score":0.6148335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496508352582758,"score_gpt":0.2467640970542721,"score_spread":0.2317990135284446,"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."}}