{"id":"W1905146943","doi":"10.1109/pacrim.1997.620362","title":"Optimum non-integer rate allocation using integer programming","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Convexity; Integer programming; Mathematical optimization; Integer (computer science); Rate distortion; Coding (social sciences); Rate–distortion theory; Mathematics; Discrete cosine transform; Distortion (music); Algorithm; Computer science; Statistics; Artificial intelligence; Image (mathematics)","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":[0.0002242349,0.0001612943,0.0001425963,0.0001343605,0.0001174877,0.0002060059,0.0008996752,0.00006246534,0.0001399423],"category_scores_gemma":[0.00004818572,0.0001337425,0.00004733816,0.0004081557,0.00004096408,0.001562877,0.0004939864,0.0001639698,0.0001237081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006447751,"about_ca_system_score_gemma":0.00001387408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002274382,"about_ca_topic_score_gemma":0.000001415957,"domain_scores_codex":[0.9987515,0.00004910951,0.0002591176,0.0004436129,0.0001945165,0.0003021447],"domain_scores_gemma":[0.9988058,0.00005467497,0.0001040595,0.0008183022,0.0001272423,0.00008996018],"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":[0.000006407553,0.0003027798,0.0001443905,0.00003203253,0.00002538196,0.00003637043,0.0007459752,0.001708212,0.06112738,0.0491821,0.01353383,0.8731552],"study_design_scores_gemma":[0.0001146429,0.00004763286,0.00001848813,0.00005413578,0.000002721631,0.00001651126,0.00001879419,0.9304221,0.0533828,0.001781599,0.0139134,0.0002272073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007145147,0.00004755928,0.9948276,0.0003817906,0.0001718972,0.0002530316,5.32556e-7,0.0007923117,0.002810805],"genre_scores_gemma":[0.2405737,0.00001456118,0.758269,0.000364888,0.00003836918,0.00002761432,0.000002473168,0.00001273741,0.0006966268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9287139,"threshold_uncertainty_score":0.545386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843670613304793,"score_gpt":0.292787535486394,"score_spread":0.2543508293533461,"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."}}