{"id":"W2031403336","doi":"10.1002/mop.1212","title":"A Bayesian network (BN) decoder for direct‐conversion microwave and millimeter‐wave six‐port receivers (SPRs)","year":2001,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Microwave; Phase-shift keying; Extremely high frequency; Computer science; Electronic engineering; Bit error rate; Port (circuit theory); Telecommunications; Algorithm; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002861503,0.0005996707,0.0006624111,0.0006401879,0.0004946966,0.0007055088,0.0009786092,0.001033654,0.001940856],"category_scores_gemma":[0.007102092,0.0004822217,0.0003544026,0.0004588482,0.0005526709,0.001190835,0.0005815013,0.001147925,0.0009213099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072966,"about_ca_system_score_gemma":0.001596106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008212512,"about_ca_topic_score_gemma":0.01094104,"domain_scores_codex":[0.9989132,0.0004930063,0.00005395004,0.0001386511,0.0003308928,0.00007037124],"domain_scores_gemma":[0.9967005,0.001855011,0.0002468674,0.0001863943,0.0009399819,0.00007123849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007946282,0.0001228,0.002511617,0.0001370218,0.0001181215,0.00009111747,0.00007688345,0.6975136,0.008682845,0.02553278,0.002447556,0.261971],"study_design_scores_gemma":[0.00001968315,0.00002434685,0.0002279057,0.000006478599,0.00001036407,0.00002703518,0.000004070941,0.99368,0.00232258,0.003171457,0.0004970032,0.000009030932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01589709,0.0001307346,0.9821805,0.0001701171,0.00001864372,0.00003412832,0.00007313283,0.0004457917,0.001049944],"genre_scores_gemma":[0.3835566,0.0002853678,0.6090295,0.0002328444,0.00004933322,0.0002165624,0.0005335062,0.0001119736,0.005984416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008212512,"threshold_uncertainty_score":0.01632941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009954307318685376,"score_gpt":0.1973683802692933,"score_spread":0.1874140729506079,"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."}}