{"id":"W1778948012","doi":"10.48550/arxiv.cs/0609123","title":"Optimal Design of Multiple Description Lattice Vector Quantizers","year":2006,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Lattice (music); Computer science; Theoretical computer science; Algorithm; Physics; Acoustics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004199648,0.0003799963,0.0004938144,0.0002266062,0.00009512512,0.00009043942,0.002261072,0.0003164709,0.00001187587],"category_scores_gemma":[0.0002420912,0.0003797505,0.0001511611,0.0002686885,0.000116047,0.0006936519,0.002457844,0.0006057328,0.00004596686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130976,"about_ca_system_score_gemma":0.0001448652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002500533,"about_ca_topic_score_gemma":0.000004804574,"domain_scores_codex":[0.9973843,0.000243585,0.000626702,0.0009404278,0.0004232263,0.0003817813],"domain_scores_gemma":[0.9967881,0.0003190381,0.0006099205,0.001955073,0.0002310228,0.0000967955],"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":[0.0003786364,0.001751723,0.2545806,0.001218059,0.0003391417,0.0002266903,0.001395647,0.2793314,0.3856336,0.008465825,0.03969409,0.02698458],"study_design_scores_gemma":[0.001017415,0.0003172132,0.1498417,0.001037912,0.00008199707,0.00001921471,0.00002420458,0.4764155,0.3616459,0.004680963,0.003259226,0.001658839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1612944,0.0002596189,0.8365038,0.00008720222,0.00056747,0.0005136745,0.00003341692,0.0006669657,0.00007349404],"genre_scores_gemma":[0.4682825,0.00004178338,0.5313609,0.00004326968,0.00005881036,0.00006284374,0.00004027013,0.00002405422,0.00008552839],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3069881,"threshold_uncertainty_score":0.9998654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0948112030016433,"score_gpt":0.3009240510922695,"score_spread":0.2061128480906262,"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."}}