{"id":"W2148944278","doi":"10.1109/dcc.2005.60","title":"On Global Optimality of Gradient Descent Algorithms for Fixed-Rate Scalar Multiple Description Quantizer Design","year":2005,"lang":"en","type":"article","venue":"Data Compression Conference","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scalar (mathematics); Mathematics; Regular polygon; Mathematical optimization; Fixed point; Algorithm; Applied mathematics; Mathematical analysis; Geometry","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":[0.001005868,0.0003712763,0.0004711311,0.0001086552,0.0002407288,0.000202647,0.004327502,0.0001214096,0.00003418759],"category_scores_gemma":[0.0005361048,0.0003154806,0.00008161904,0.0003075836,0.0001455719,0.002023833,0.002221229,0.0002158029,0.00002426774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159411,"about_ca_system_score_gemma":0.0001436684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004999308,"about_ca_topic_score_gemma":0.00001252897,"domain_scores_codex":[0.996535,0.0003989144,0.0007328407,0.001268559,0.0005562716,0.0005084205],"domain_scores_gemma":[0.9948846,0.0006400686,0.0004786577,0.003395739,0.0003700826,0.0002308539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008742148,0.002063747,0.0006305902,0.0001752206,0.00007217952,0.00001525709,0.0001701223,0.01033671,0.05782906,0.120618,0.08788299,0.7193319],"study_design_scores_gemma":[0.0009758001,0.0002533956,0.001132504,0.0003736152,0.00001356687,0.000007204817,0.000009123819,0.8963467,0.08105092,0.007465604,0.01199467,0.0003768386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002461903,0.0001345869,0.9934371,0.0003519377,0.0003519548,0.001023849,0.001787022,0.0003903397,0.00006136113],"genre_scores_gemma":[0.4369075,0.00005731675,0.5623041,0.0001597855,0.00003559666,0.0000691972,0.000440881,0.00001101109,0.00001459371],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8860101,"threshold_uncertainty_score":0.9999297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.214356975795677,"score_gpt":0.3671172376399098,"score_spread":0.1527602618442328,"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."}}