{"id":"W3034663452","doi":"10.1109/tcomm.2020.3001647","title":"Joint Component Design for the JSCC System Based on DP-LDPC Codes","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Computer science; Source code; Coding (social sciences); Algorithm; Connection (principal bundle); Mathematics; Statistics; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006213906,0.0002039889,0.0002186412,0.0001252022,0.001259616,0.0001574534,0.002931719,0.00007448392,0.000005312417],"category_scores_gemma":[0.00003512948,0.0001677127,0.0002086703,0.0005261204,0.0001158254,0.0001458622,0.00001738804,0.0004805003,0.00005627472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704089,"about_ca_system_score_gemma":0.0001176223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005923371,"about_ca_topic_score_gemma":0.00003807685,"domain_scores_codex":[0.9983141,0.0004612346,0.0003687193,0.0003461497,0.0002752898,0.0002344813],"domain_scores_gemma":[0.9935732,0.002946581,0.0001432832,0.003054755,0.000169551,0.0001126313],"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":[0.0003371712,0.00236892,0.000008665001,0.0002703341,0.0003718913,0.00000551821,0.00767297,0.7776208,0.01676355,0.08027776,0.01542742,0.09887501],"study_design_scores_gemma":[0.0003032078,0.000314028,0.00001837734,0.000102539,0.00004219057,0.000004415282,0.0001255568,0.9694317,0.02652521,0.0001604486,0.002790254,0.0001821033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002993254,0.00006588968,0.9671129,0.02920108,0.0003025486,0.001195466,0.00003193836,0.00146567,0.0005945741],"genre_scores_gemma":[0.7524558,0.000030487,0.2453367,0.001307851,0.00001743604,0.0008009477,0.000002550264,0.00002222876,0.00002600525],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7524259,"threshold_uncertainty_score":0.9688072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422024689975916,"score_gpt":0.2992184717571124,"score_spread":0.1570160027595208,"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."}}