{"id":"W2119277930","doi":"10.1109/icc.2006.255491","title":"Two-Stage Blind Detection of Alamouti Based Minimum-Shift Keying","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fading; Phase-shift keying; Computer science; Keying; Algorithm; Bit error rate; Channel (broadcasting); Block code; Channel state information; Minimum-shift keying; Telecommunications; Electronic engineering; Mathematics; Decoding methods; Engineering","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":[0.001498599,0.0007076514,0.0006733484,0.0006767485,0.0004632628,0.0005968824,0.0009132587,0.001055858,0.0009519649],"category_scores_gemma":[0.004761523,0.0004226495,0.0002911396,0.0003583309,0.0006649262,0.0009549547,0.0006397131,0.0005724634,0.0006328464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005473141,"about_ca_system_score_gemma":0.0009549196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007618557,"about_ca_topic_score_gemma":0.001422702,"domain_scores_codex":[0.9987479,0.0004186531,0.00006891448,0.0002069278,0.0004599548,0.00009757272],"domain_scores_gemma":[0.9980611,0.0009693791,0.0002475873,0.0002348392,0.00043231,0.0000547149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002496772,0.0003562654,0.003963547,0.0007028105,0.0001825113,0.0003305836,0.0005274476,0.08244491,0.3667569,0.05513588,0.002216358,0.4848861],"study_design_scores_gemma":[0.0001070981,0.0005898977,0.001440406,0.00003316113,0.00005131877,0.0005081774,0.00002277704,0.7868102,0.1982327,0.00745343,0.004650858,0.00009997726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05248948,0.0005136888,0.9434916,0.0001035182,0.0001067506,0.0001227935,0.00006076251,0.0007660249,0.002345304],"genre_scores_gemma":[0.4810016,0.0002308857,0.5141848,0.0001357759,0.00005620543,0.0001223655,0.00007642939,0.00002786245,0.004164156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001498599,"threshold_uncertainty_score":0.007925451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06983092492082836,"score_gpt":0.3369903039710563,"score_spread":0.2671593790502279,"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."}}