{"id":"W4235660709","doi":"10.1109/isit.2003.1228477","title":"Codecell convexity in optimal entropy-constrained vector quantization","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Convexity; Mathematics; Vector quantization; Regular polygon; Applied mathematics; Entropy (arrow of time); Mathematical optimization; Convex function; Distortion (music); Computer science; Algorithm","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":[0.001841979,0.000637656,0.001155746,0.0008012215,0.0005259391,0.002341717,0.0007536052,0.0007828447,0.002039438],"category_scores_gemma":[0.01300569,0.0005393064,0.0004711149,0.00137404,0.002089768,0.002403058,0.001809931,0.001547554,0.0003675191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466065,"about_ca_system_score_gemma":0.000915026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014421,"about_ca_topic_score_gemma":0.001635763,"domain_scores_codex":[0.998767,0.0004467833,0.00006380171,0.0001290598,0.000442115,0.0001512655],"domain_scores_gemma":[0.992956,0.005126158,0.0003843116,0.0004466849,0.0009703143,0.0001164174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001614431,0.0000156874,0.0007496307,0.00009053425,0.00002589633,0.0001637564,0.000149827,0.5796382,0.005483501,0.3805251,0.00195472,0.03104167],"study_design_scores_gemma":[0.00001356071,0.00002996303,0.0003019013,0.00002077946,0.000007007617,0.00006611463,0.00003399338,0.8454724,0.003955334,0.148721,0.001359116,0.00001886507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06596348,0.001135739,0.921144,0.0006156058,0.00004203471,0.00003684668,0.0002928467,0.0001680604,0.0106014],"genre_scores_gemma":[0.916821,0.001688307,0.07593293,0.0002807923,0.000100033,0.0001758647,0.0005767355,0.0002540018,0.004170267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003014421,"threshold_uncertainty_score":0.0106371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639277312834501,"score_gpt":0.2690541743549265,"score_spread":0.2526614012265815,"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."}}