{"id":"W2036276475","doi":"10.1155/2007/53517","title":"Simplified LLRs for the Decoding of Single Parity Check Turbo Product Codes Transmitted Using 16QAM","year":2007,"lang":"lv","type":"article","venue":"Research Letters in Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Algorithm; Computer science","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":[0.001394964,0.00112146,0.000658688,0.0008429732,0.0003040513,0.001459655,0.0009832634,0.001079337,0.009896325],"category_scores_gemma":[0.005123005,0.0003460489,0.0009288968,0.0008147516,0.0007274249,0.001432185,0.0005302461,0.001001327,0.003328335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876389,"about_ca_system_score_gemma":0.001764406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004938018,"about_ca_topic_score_gemma":0.008668677,"domain_scores_codex":[0.9987256,0.0003586974,0.00009020908,0.00009407171,0.0006108892,0.0001204661],"domain_scores_gemma":[0.9981524,0.001072579,0.0001727772,0.000185576,0.0003936524,0.00002294522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002291084,0.00004833086,0.0008402059,0.0003664917,0.00007024298,0.0003101983,0.0002117722,0.8532904,0.01352375,0.07249627,0.003641045,0.05497224],"study_design_scores_gemma":[0.00001990616,0.00005082498,0.0002934193,0.00004794212,0.0000197882,0.000137843,0.00002731779,0.9763559,0.008556059,0.01204959,0.002412343,0.00002902096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03474671,0.0009577191,0.9454972,0.0005124785,0.0001472152,0.0001625059,0.001156655,0.001511442,0.01530809],"genre_scores_gemma":[0.4907196,0.001941293,0.4851876,0.0004549375,0.0001000337,0.0004625988,0.002013996,0.0006164297,0.01850353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009896325,"threshold_uncertainty_score":0.03310657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2307251750308826,"score_gpt":0.4391080485788356,"score_spread":0.208382873547953,"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."}}