{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004852552,0.00007880529,0.00007376588,0.00005417731,0.00005794695,0.0001928218,0.0005865138,0.00003564954,0.00002415268],"category_scores_gemma":[0.00002301615,0.00005930133,0.00001017047,0.0003733672,0.00003149352,0.004934943,0.00022851,0.00007694753,0.00009142151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000308788,"about_ca_system_score_gemma":0.00006913151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006751908,"about_ca_topic_score_gemma":0.0000156699,"domain_scores_codex":[0.9993534,0.00001189285,0.0001147853,0.0001787339,0.0001747814,0.0001663733],"domain_scores_gemma":[0.9989683,0.00001314406,0.00005058849,0.0008196489,0.0001103801,0.00003791516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003523813,0.00003962219,0.000336781,0.00001051473,0.000007094247,0.00003162726,0.0002338354,0.0006249776,0.001737826,0.8652394,0.001292008,0.1304427],"study_design_scores_gemma":[0.002183651,0.001241478,0.003660195,0.00007398018,0.0000158731,0.000542768,0.001896222,0.1163917,0.4182135,0.1515229,0.3028035,0.001454254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003405743,0.00001841783,0.9910442,0.001023721,0.00003668116,0.00007509308,0.000002837882,0.001019271,0.003374013],"genre_scores_gemma":[0.1491934,0.00001056231,0.8502606,0.0003961227,0.000006855861,0.00001263948,0.0000239813,0.00000280847,0.00009309268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7137166,"threshold_uncertainty_score":0.3577714,"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."}}