{"id":"W2112154958","doi":"10.1109/tkde.2009.59","title":"Discovering Transitional Patterns and Their Significant Milestones in Transaction Databases","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Knowledge and Data Engineering","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Database; Database transaction; Transaction processing; Transaction log; Distributed database; Information retrieval; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001303383,0.0001633229,0.0001423589,0.0001707831,0.0001068714,0.0000917073,0.0003110122,0.00003239031,0.000003842977],"category_scores_gemma":[0.000001486303,0.0001522026,0.00001773094,0.0002149792,0.00001723018,0.001083502,0.000005098458,0.0001703585,0.000002707523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001707544,"about_ca_system_score_gemma":0.00001945771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005780804,"about_ca_topic_score_gemma":0.00008358562,"domain_scores_codex":[0.9990932,0.00001323644,0.0001789564,0.000465786,0.00006761655,0.0001812178],"domain_scores_gemma":[0.9992834,0.0000954758,0.00001687958,0.0005093845,0.00001080438,0.00008410362],"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":[0.00001370422,0.0004781387,0.00003158885,0.00008512419,0.00002974799,0.00001053987,0.001684626,0.008581818,0.01148277,0.001680406,0.00004923253,0.9758723],"study_design_scores_gemma":[0.0004299948,0.00006536283,0.004483332,0.0001634414,0.00001315737,0.00004202898,0.0001059795,0.98645,0.006322247,0.00003852271,0.001575913,0.0003100426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03409625,0.0001997836,0.964288,0.0001924502,0.0001175577,0.0001054973,0.0008850886,0.00009924736,0.00001610507],"genre_scores_gemma":[0.9857031,0.0004192302,0.01366876,0.00002686509,0.0000339897,0.00002004314,0.0001105516,0.000008794475,0.000008666798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9778681,"threshold_uncertainty_score":0.6206642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862650924382022,"score_gpt":0.2647418609200139,"score_spread":0.2361153516761937,"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."}}