{"id":"W2049045581","doi":"10.1002/cem.816","title":"Induction of decision trees using fuzzy partitions","year":2003,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Decision tree; Subspace topology; Decision tree learning; Mathematics; Incremental decision tree; Fuzzy logic; Data mining; Artificial intelligence; Classifier (UML); Computer science; Pattern recognition (psychology); Partition (number theory); Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001938009,0.0005434433,0.0009277902,0.001464514,0.0005617148,0.0009792728,0.0008670221,0.0005580606,0.002092866],"category_scores_gemma":[0.008211371,0.0004335017,0.0009647852,0.001031,0.0007576943,0.001307207,0.001303774,0.001519518,0.0006826284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007177856,"about_ca_system_score_gemma":0.0007179409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009590837,"about_ca_topic_score_gemma":0.001209366,"domain_scores_codex":[0.9977623,0.000716167,0.0001474687,0.0004070481,0.0008451548,0.0001217526],"domain_scores_gemma":[0.9960791,0.002438858,0.0002131302,0.0003132032,0.000825819,0.0001297728],"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":[0.000306076,0.0001779658,0.001947708,0.0004921911,0.0002003149,0.000221903,0.000375088,0.3613718,0.01690987,0.09542595,0.006054022,0.5165171],"study_design_scores_gemma":[0.00003766004,0.00006067612,0.0002699548,0.00004799473,0.00002774225,0.00003985351,0.0000222162,0.9224684,0.005515138,0.06800994,0.003486768,0.00001361744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01002007,0.0002001612,0.9881881,0.00006921194,0.00005281979,0.00007279231,0.0001098298,0.0003291231,0.000957991],"genre_scores_gemma":[0.1903059,0.0002505047,0.8066193,0.00008330434,0.00009641251,0.0002548996,0.0007194242,0.0001006296,0.001569606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002092866,"threshold_uncertainty_score":0.01024932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04340556262687248,"score_gpt":0.2704359029485172,"score_spread":0.2270303403216447,"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."}}