{"id":"W2148029210","doi":"10.1109/dcc.2013.40","title":"Partition Tree Weighting","year":2013,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Weighting; Computer science; Partition (number theory); Piecewise; Algorithm; Entropy (arrow of time); Tree (set theory); k-d tree; Huffman coding; Redundancy (engineering); Data mining; Theoretical computer science; Tree traversal; Data compression; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001457868,0.0009688986,0.001288062,0.002791516,0.0008516451,0.001651543,0.002243302,0.001385063,0.00738561],"category_scores_gemma":[0.008029461,0.0005808787,0.001094872,0.002917017,0.0006374199,0.003064868,0.002429765,0.001703749,0.002338618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008329307,"about_ca_system_score_gemma":0.001253053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432515,"about_ca_topic_score_gemma":0.001954641,"domain_scores_codex":[0.9986404,0.0003425845,0.00006563623,0.000234939,0.0006038185,0.0001127569],"domain_scores_gemma":[0.9980431,0.0008533974,0.0001293895,0.0004177843,0.0004799294,0.00007637386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002331224,0.00008320411,0.001033207,0.0002010446,0.0001188508,0.0001123936,0.0002289548,0.1146392,0.01326646,0.1022403,0.007462684,0.7603805],"study_design_scores_gemma":[0.00003866337,0.0000944754,0.0003492383,0.0000571686,0.00005743391,0.0002841912,0.00006980185,0.856622,0.009509854,0.1134994,0.01938528,0.00003251568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00180607,0.0001418857,0.9968754,0.00004279839,0.00002853694,0.00003935451,0.00005422083,0.0002757127,0.0007361191],"genre_scores_gemma":[0.06388357,0.0003499419,0.9310545,0.0001257481,0.0000887932,0.0002321527,0.0006059911,0.0004170909,0.003242231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00738561,"threshold_uncertainty_score":0.02470732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009474460688097647,"score_gpt":0.2045399286998666,"score_spread":0.195065468011769,"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."}}