{"id":"W2026176068","doi":"10.1007/s10489-007-0096-5","title":"Updating generalized association rules with evolving taxonomies","year":2007,"lang":"en","type":"article","venue":"Applied Intelligence","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Mitacs","keywords":"Computer science; Association rule learning; Association (psychology); Artificial intelligence; Data mining; Epistemology","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":[0.005694737,0.0009684404,0.002158263,0.004602559,0.0008364314,0.002763898,0.004631826,0.001866262,0.003224914],"category_scores_gemma":[0.04884313,0.001076989,0.001554882,0.005443022,0.0007574878,0.005497498,0.002272968,0.002180431,0.0009111662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007361005,"about_ca_system_score_gemma":0.001680434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00625645,"about_ca_topic_score_gemma":0.01497426,"domain_scores_codex":[0.996024,0.0009347284,0.0005315195,0.001055686,0.001256787,0.0001971689],"domain_scores_gemma":[0.9719811,0.01557755,0.001175651,0.005293118,0.005456127,0.0005164422],"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":[0.0006392146,0.0005203384,0.02342623,0.000448236,0.0006517804,0.0005948195,0.0006592124,0.103698,0.006434013,0.007059097,0.01035712,0.8455119],"study_design_scores_gemma":[0.0001268341,0.0001692051,0.004508499,0.0001207476,0.0004684958,0.0006281784,0.0002556251,0.9465017,0.004154575,0.03550755,0.007502139,0.00005639833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2332634,0.002121986,0.7530223,0.001275335,0.001025454,0.0004927307,0.001861997,0.003928896,0.00300808],"genre_scores_gemma":[0.3998602,0.0006794545,0.5931482,0.0004089663,0.0003199146,0.0002523363,0.002905637,0.0003092827,0.002116036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00625645,"threshold_uncertainty_score":0.03011698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619295436824926,"score_gpt":0.2477608606199763,"score_spread":0.2315679062517271,"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."}}