{"id":"W4248144779","doi":"10.22215/etd/2009-09274","title":"Creating better binary classification trees using non-greedy methods","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Humanities; Auteur theory; Art; Political science; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003730689,0.001416057,0.002056902,0.003823877,0.001428445,0.002396064,0.00281653,0.002875869,0.01123775],"category_scores_gemma":[0.01449837,0.001082218,0.00237789,0.003580883,0.0006509217,0.003849168,0.001966415,0.002520664,0.004976803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380575,"about_ca_system_score_gemma":0.00226192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003897491,"about_ca_topic_score_gemma":0.009694508,"domain_scores_codex":[0.997023,0.0008423792,0.0002290797,0.0007239187,0.0008405889,0.000341072],"domain_scores_gemma":[0.9912709,0.00546732,0.0004008575,0.001094581,0.001473612,0.0002928834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004989142,0.0006048994,0.002827137,0.0003703735,0.00015533,0.000176008,0.000270786,0.1016845,0.005585257,0.01703452,0.03046141,0.8403309],"study_design_scores_gemma":[0.0001510933,0.0001128513,0.0005714733,0.00007275565,0.00006017641,0.0001391596,0.0001302573,0.9580292,0.002057782,0.0321219,0.006529092,0.00002427457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03378285,0.0007986926,0.9526061,0.0007505442,0.0004210617,0.0004957209,0.0006238109,0.004822904,0.005698304],"genre_scores_gemma":[0.1084374,0.0002455607,0.8830976,0.0005918021,0.0001599124,0.0004475228,0.002111062,0.0006510578,0.004257949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01123775,"threshold_uncertainty_score":0.03759396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0550158946145473,"score_gpt":0.3853117958627844,"score_spread":0.330295901248237,"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."}}