{"id":"W1794915560","doi":"10.1007/978-3-540-68125-0_61","title":"A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":224,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Database transaction; Data mining; Tree (set theory); Transaction data; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0006514601,0.0005329186,0.0005363923,0.000434703,0.0003887699,0.000577975,0.009000313,0.0002625465,0.000008164827],"category_scores_gemma":[0.00008298396,0.0004935115,0.0001093521,0.0004534086,0.0005080337,0.0006069536,0.002032161,0.0004553158,0.00001152687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618514,"about_ca_system_score_gemma":0.0008023416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002270839,"about_ca_topic_score_gemma":0.0001041534,"domain_scores_codex":[0.9952518,0.00002542368,0.000548336,0.002725473,0.0008062361,0.0006427708],"domain_scores_gemma":[0.9944163,0.0008182245,0.0003305102,0.004081486,0.0001631235,0.0001903649],"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":[0.0000021192,0.0000498138,0.00003018959,0.00001823332,0.00001250541,0.00001941725,0.0003283068,0.008714082,0.00001909067,0.0003100834,0.0005446937,0.9899515],"study_design_scores_gemma":[0.0003779863,0.00008340554,0.00003831941,0.0001655398,0.00001235126,0.00001350193,3.440508e-7,0.9888149,0.0001500043,0.003800922,0.005961888,0.0005808215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001417945,0.0003771312,0.9963573,0.0006852229,0.0005360792,0.0006133635,0.0006066543,0.0001703167,0.0006398078],"genre_scores_gemma":[0.004743263,0.00002299755,0.991785,0.001613145,0.0005849696,0.00006754476,0.001056319,0.00004098338,0.00008578104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9893706,"threshold_uncertainty_score":0.9997516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06928100922740438,"score_gpt":0.280066816554506,"score_spread":0.2107858073271017,"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."}}