{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287881,0.0005030216,0.0007567519,0.0003446174,0.0003864836,0.001006705,0.00136842,0.000545787,0.002459979],"category_scores_gemma":[0.003932309,0.0004196135,0.0002572003,0.0005863159,0.0007479378,0.00210811,0.001306824,0.0008892209,0.0003882124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088051,"about_ca_system_score_gemma":0.001288587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070822,"about_ca_topic_score_gemma":0.001567507,"domain_scores_codex":[0.9990292,0.0002798028,0.00007319083,0.0001833389,0.0003174786,0.0001169323],"domain_scores_gemma":[0.9989374,0.0004973427,0.0001594049,0.0001272736,0.0001919739,0.00008659133],"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":[0.0005910442,0.0001074129,0.001183746,0.0002848422,0.00004958248,0.0001436254,0.0001526045,0.5418168,0.02489536,0.1683747,0.003286783,0.2591135],"study_design_scores_gemma":[0.00003005416,0.00005947734,0.00006406914,0.00000925288,0.000005169627,0.00003872269,0.00001849194,0.9728899,0.004923495,0.02080883,0.001139276,0.00001324671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02988448,0.0004368559,0.9666703,0.0002278993,0.00004397814,0.00005962648,0.00008474607,0.0002659399,0.002326215],"genre_scores_gemma":[0.6764362,0.0003084787,0.3198081,0.0001805087,0.00003790487,0.0001451221,0.0001600336,0.00006389031,0.002859825],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002459979,"threshold_uncertainty_score":0.008229434,"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."}}