{"id":"W2206190895","doi":"10.5539/cis.v9n1p41","title":"A Simplified Model of Bit Error Rate Calculation","year":2015,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Bit error rate; Key (lock); Set (abstract data type); Bit (key); Quality of service; Service model; Word error rate; State (computer science); Computer engineering; Algorithm; Service (business); Telecommunications; Computer network; Artificial intelligence; Operating system; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005153966,0.0008238449,0.001335408,0.001215045,0.0008091577,0.001695542,0.002676285,0.002082165,0.009519954],"category_scores_gemma":[0.002473585,0.0005039856,0.001079689,0.001204718,0.0008114394,0.00339576,0.001080818,0.001676748,0.004471633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450619,"about_ca_system_score_gemma":0.001212105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015324,"about_ca_topic_score_gemma":0.00345003,"domain_scores_codex":[0.9990159,0.0001592143,0.00005303709,0.0002036846,0.0004715644,0.00009659403],"domain_scores_gemma":[0.9989451,0.0002685038,0.00008519855,0.0001765493,0.0004886232,0.00003619978],"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":[0.0001527212,0.00007768819,0.001010115,0.0003120264,0.00004219461,0.0006168771,0.0003253662,0.753023,0.01408199,0.1818474,0.009104759,0.03940586],"study_design_scores_gemma":[0.000009329347,0.00001944449,0.0001691478,0.00001721755,0.00001418738,0.0001580481,0.00001439025,0.9819614,0.001106826,0.01174891,0.004756824,0.00002419581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01064588,0.002623854,0.9300923,0.001208908,0.0004405988,0.0001445757,0.0009839651,0.001038672,0.05282133],"genre_scores_gemma":[0.6637632,0.007568118,0.1844245,0.001316882,0.0007553988,0.0007802501,0.001791753,0.0007387181,0.1388612],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01015324,"threshold_uncertainty_score":0.03184748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332585409120093,"score_gpt":0.254018360770841,"score_spread":0.2207598198588317,"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."}}