{"id":"W2049176709","doi":"10.3390/e15125510","title":"Information-Theoretic Data Discarding for Dynamic Trees on Data Streams","year":2013,"lang":"en","type":"article","venue":"Entropy","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Computer science; Data stream mining; Inference; Heuristics; Machine learning; Data mining; Artificial intelligence; Data science","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":[0.008313403,0.001109081,0.002115674,0.002527249,0.00129032,0.002296477,0.003945999,0.001635773,0.001714179],"category_scores_gemma":[0.03903266,0.000752595,0.001384585,0.002735042,0.002016799,0.005951196,0.003569844,0.003683691,0.0005224075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937138,"about_ca_system_score_gemma":0.002575865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002910581,"about_ca_topic_score_gemma":0.003483264,"domain_scores_codex":[0.996891,0.001220259,0.000227261,0.0004484958,0.0009726873,0.0002404222],"domain_scores_gemma":[0.9673185,0.02540649,0.001749681,0.003150263,0.001710937,0.0006641833],"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":[0.0004877282,0.0002113096,0.003825274,0.0003037156,0.0001278799,0.0003031339,0.0005425442,0.5695861,0.003042389,0.1602716,0.005085292,0.256213],"study_design_scores_gemma":[0.00001053126,0.00002809859,0.0001525077,0.000015949,0.000008472358,0.00004003962,0.00001694217,0.9628889,0.0007671241,0.03541528,0.0006477269,0.00000838332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008683864,0.000295091,0.9899558,0.000241226,0.0000256962,0.00003725985,0.00007526338,0.0002929932,0.0003928186],"genre_scores_gemma":[0.4862312,0.001253052,0.5060028,0.0004266869,0.0003646475,0.000347571,0.001268348,0.000381462,0.003724226],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008313403,"threshold_uncertainty_score":0.043966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262131367543854,"score_gpt":0.2915567871923336,"score_spread":0.2653436504379482,"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."}}