{"id":"W3197491921","doi":"10.1109/isit45174.2021.9518214","title":"An Information Bottleneck Problem with Rényi's Entropy","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Information bottleneck method; Bottleneck; Information theory; Mutual information; Entropy (arrow of time); Computer science; Rényi entropy; Mathematics; Decoding methods; Joint entropy; Multiplicative function; Mathematical optimization; Theoretical computer science; Algorithm; Principle of maximum entropy; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007456866,0.001075416,0.002169939,0.001238935,0.001071209,0.003261246,0.001820731,0.002244413,0.003108308],"category_scores_gemma":[0.02277936,0.0007487976,0.0008017176,0.001679072,0.003684737,0.00926059,0.003023547,0.002154939,0.0004866048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002287421,"about_ca_system_score_gemma":0.001569545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090103,"about_ca_topic_score_gemma":0.0005305277,"domain_scores_codex":[0.9965934,0.001663355,0.0001602907,0.0005138809,0.0007790301,0.0002900264],"domain_scores_gemma":[0.9872239,0.01075545,0.0005882767,0.0005751046,0.0006324099,0.0002248241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002544808,0.000071034,0.0003397021,0.0003201532,0.00006611877,0.0002987042,0.0002494263,0.255924,0.004902342,0.7079778,0.001542307,0.0280538],"study_design_scores_gemma":[0.00003837734,0.00006395916,0.0001708956,0.00003400971,0.00002081059,0.0001046411,0.00004444274,0.4789263,0.0029569,0.5159619,0.001636397,0.00004131247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03078127,0.001509618,0.9573705,0.00120797,0.00007269535,0.00007581168,0.0001037671,0.0001594944,0.008718918],"genre_scores_gemma":[0.819295,0.002258263,0.1697569,0.0004115238,0.0004402418,0.0003842878,0.0001705835,0.0002214224,0.007061642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007456866,"threshold_uncertainty_score":0.03943616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006464594729021653,"score_gpt":0.2203581287864896,"score_spread":0.2138935340574679,"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."}}