{"id":"W1504447126","doi":"10.1109/dcc.1998.672161","title":"Bayesian state combining for context models","year":2002,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Context (archaeology); Tree (set theory); Estimator; Context model; Algorithm; Theoretical computer science; Artificial intelligence; Machine learning; Mathematics; Data mining; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002579094,0.0009543556,0.001264811,0.00137052,0.0009232606,0.00209438,0.001961984,0.001188568,0.004747479],"category_scores_gemma":[0.009483877,0.0008646976,0.001480337,0.001319846,0.001138226,0.003946912,0.003889775,0.002520894,0.001034498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712884,"about_ca_system_score_gemma":0.00166935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003444745,"about_ca_topic_score_gemma":0.00382402,"domain_scores_codex":[0.9977257,0.0009450136,0.00007485629,0.0004275804,0.0006787303,0.000148169],"domain_scores_gemma":[0.9960037,0.002707213,0.000244697,0.0006253613,0.0003153553,0.0001036758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002125449,0.00009110894,0.001305708,0.0001489337,0.0001118159,0.0001082536,0.0003821731,0.4047827,0.00448692,0.3850795,0.002389977,0.2009003],"study_design_scores_gemma":[0.000007301623,0.0000284622,0.0001709443,0.0000130291,0.00001791634,0.00002578907,0.00001794163,0.8755606,0.001403535,0.1205921,0.002142467,0.00001983604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006784999,0.0001837289,0.9902262,0.00008438029,0.00001947252,0.00002631069,0.00009253691,0.0004081636,0.002174202],"genre_scores_gemma":[0.3434809,0.0004351029,0.6495473,0.0002128533,0.0001031817,0.0002636307,0.0006627239,0.0003936561,0.004900618],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004747479,"threshold_uncertainty_score":0.0158819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550364765399028,"score_gpt":0.2418538904595592,"score_spread":0.1963502428055689,"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."}}