{"id":"W177645602","doi":"10.1007/978-3-642-30217-6_29","title":"An Associative Classifier for Uncertain Datasets","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Associative property; Classifier (UML); Artificial intelligence; Machine learning; Artificial neural network; Uncertain data; Pruning; Decision tree; Pattern recognition (psychology); Data mining; 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":[0.002849779,0.0006763019,0.001489175,0.002289112,0.001142909,0.002066101,0.001926041,0.001444547,0.004150396],"category_scores_gemma":[0.009326048,0.0003982416,0.0008137135,0.002462043,0.0006161835,0.00484386,0.002039731,0.001885922,0.002655128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004993234,"about_ca_system_score_gemma":0.001310993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022714,"about_ca_topic_score_gemma":0.002005607,"domain_scores_codex":[0.9981273,0.0002363954,0.0002234757,0.0003030075,0.001013306,0.00009654971],"domain_scores_gemma":[0.9956377,0.002132533,0.0001779857,0.0008390144,0.001093634,0.0001191302],"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":[0.0003775505,0.0002509247,0.003192847,0.0002847928,0.0001257416,0.0003400421,0.0001407087,0.02128834,0.005818082,0.02266549,0.02127307,0.9242424],"study_design_scores_gemma":[0.00003926096,0.0001384253,0.00116914,0.00009373331,0.0001268686,0.0008123032,0.000114394,0.8952494,0.009486816,0.07702118,0.01570807,0.00004040164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03520991,0.001867903,0.9526779,0.0006468584,0.0005860286,0.0002161223,0.0008811039,0.002749535,0.005164696],"genre_scores_gemma":[0.3198824,0.001826156,0.6569884,0.0005056568,0.001020221,0.0005477965,0.004024466,0.0002016086,0.01500336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004150396,"threshold_uncertainty_score":0.01507121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03891664597527363,"score_gpt":0.3084234246305786,"score_spread":0.269506778655305,"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."}}