{"id":"W4321374037","doi":"10.3390/e25020382","title":"Analysis and Optimization of a General Linking Matrix for JSCC Scheme Based on Double LDPC Codes","year":2023,"lang":"en","type":"article","venue":"Entropy","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; Jimei University; Huaqiao University; National Natural Science Foundation of China","keywords":"Low-density parity-check code; Parity-check matrix; Algorithm; Decoding methods; Computer science; Theoretical computer science; Identity matrix; Concatenated error correction code; Mathematics; Block code; Eigenvalues and eigenvectors","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":[0.0003240627,0.00008150424,0.0001635295,0.0003976006,0.00007127362,0.000062509,0.0002410417,0.00004307738,0.000004330499],"category_scores_gemma":[0.00004422777,0.00007907742,0.00008283739,0.001076684,0.00001611137,0.0001005379,0.00007521338,0.0000499355,0.000001656977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002513595,"about_ca_system_score_gemma":0.00002425225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000378441,"about_ca_topic_score_gemma":0.000006491593,"domain_scores_codex":[0.9992431,0.00002793011,0.0001605074,0.0002494771,0.00016485,0.000154144],"domain_scores_gemma":[0.9993632,0.0001315957,0.000104721,0.0002917873,0.00007778651,0.00003093273],"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":[0.0001068637,0.00007375819,0.02631085,0.00008354604,0.0001486132,0.000004970727,0.0005116669,0.9194462,0.01862877,0.03139053,0.0006551931,0.00263899],"study_design_scores_gemma":[0.0003076785,0.00007270437,0.0003770906,0.00001855828,0.00003261957,2.640146e-7,0.000004213802,0.9647954,0.03394108,0.0003254798,0.00004714885,0.00007778723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06357816,0.00001448517,0.9354598,0.000226248,0.00007767715,0.0001683325,0.000003183855,0.0004127723,0.00005934211],"genre_scores_gemma":[0.4237342,0.000005726641,0.5760401,0.00004273006,0.00002824473,0.00002533469,0.00001573262,0.00000718503,0.0001007105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3601561,"threshold_uncertainty_score":0.3224683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989530327328336,"score_gpt":0.3019486349880363,"score_spread":0.2820533317147529,"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."}}