{"id":"W2111325529","doi":"10.1109/cwit.2009.5069547","title":"Soft output detector for parity bit selected CDMA system","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Parity bit; Code division multiple access; Computer science; Viterbi decoder; Bit error rate; Detector; Spread spectrum; Decoding methods; Algorithm; Convolutional code; Viterbi algorithm; Electronic engineering; Telecommunications; 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":[0.0009260367,0.00041014,0.0006345653,0.0003527605,0.0002721949,0.000871614,0.0004504764,0.0007913237,0.001271086],"category_scores_gemma":[0.003132892,0.0002202659,0.0001805038,0.000267438,0.0004618453,0.0007468691,0.0004959369,0.0005485265,0.0003326436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005026964,"about_ca_system_score_gemma":0.0005314443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004854204,"about_ca_topic_score_gemma":0.0004191657,"domain_scores_codex":[0.9989458,0.0003739783,0.00002921104,0.0001150179,0.0004446447,0.00009138873],"domain_scores_gemma":[0.9980717,0.001307191,0.0001892775,0.00009234139,0.000299328,0.00004012281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003435557,0.0002885732,0.009301147,0.0006722473,0.0002708556,0.001259985,0.000496991,0.3432178,0.4485876,0.03481585,0.001598052,0.1560552],"study_design_scores_gemma":[0.00006648093,0.0004764237,0.0008341731,0.0000199568,0.00003721341,0.0003961037,0.00002213603,0.940173,0.05512403,0.002112849,0.0007096949,0.00002793692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.393757,0.001437758,0.5984333,0.0003697225,0.00008777065,0.00007363394,0.00009150845,0.0009103481,0.004838909],"genre_scores_gemma":[0.9575748,0.0002959466,0.04041843,0.00007550682,0.00002799527,0.00002600401,0.00004806358,0.00001929802,0.001514043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001271086,"threshold_uncertainty_score":0.004897416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0339286671319795,"score_gpt":0.2873010078534443,"score_spread":0.2533723407214648,"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."}}