{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008366963,0.000067855,0.0002316227,0.0007445131,0.00004865318,0.00004727777,0.0003125527,0.00006420619,0.000003547721],"category_scores_gemma":[0.0008776261,0.00005276024,0.000126282,0.002393587,0.00002062693,0.0004424399,0.00002501147,0.0001260559,0.000002282392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006708357,"about_ca_system_score_gemma":0.0001093107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002955521,"about_ca_topic_score_gemma":4.770114e-7,"domain_scores_codex":[0.9987392,0.00005797108,0.000514504,0.00008472609,0.0004821809,0.0001213944],"domain_scores_gemma":[0.9985859,0.00017408,0.0005652688,0.0001856404,0.000410486,0.00007866642],"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":[0.0001458754,0.00225255,0.03527093,0.0001528583,0.000473173,0.0002925086,0.001833595,0.02915262,0.162495,0.3155075,0.009991334,0.442432],"study_design_scores_gemma":[0.01171347,0.003274304,0.0448164,0.0008763703,0.0003561634,0.008017198,0.001528813,0.01272884,0.1432086,0.7351307,0.03684803,0.001501135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.480999,0.001401632,0.5101758,0.0001313767,0.001175833,0.00005127128,6.223362e-7,0.000009255645,0.006055278],"genre_scores_gemma":[0.9546295,0.00004894114,0.04517335,0.00002522182,0.00009304895,2.968436e-7,5.169422e-8,0.000003225199,0.00002641594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4736305,"threshold_uncertainty_score":0.21515,"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."}}