{"id":"W2103662135","doi":"10.1109/icnc.2011.6022588","title":"A dynamic composite approach for evaluating association rules","year":2011,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Association rule learning; Association (psychology); Computer science; Task (project management); Process (computing); Set (abstract data type); Data mining; Measure (data warehouse); Property (philosophy); Artificial neural network; Machine learning; Artificial intelligence; Engineering","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":[0.0004247513,0.0000531698,0.00006488836,0.00002894129,0.0001235149,0.00008018308,0.000405124,0.00002835156,0.000004738568],"category_scores_gemma":[0.00002937912,0.00004742237,0.00003088218,0.0001025552,0.000005682359,0.0002318562,0.00008734956,0.00003418879,0.00002698954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004453139,"about_ca_system_score_gemma":0.00001848729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000313679,"about_ca_topic_score_gemma":0.000001551183,"domain_scores_codex":[0.9994009,0.00001594979,0.0001147012,0.0002109508,0.0001200978,0.000137467],"domain_scores_gemma":[0.9995033,0.00006135404,0.00007762188,0.0002517096,0.00007649534,0.00002953457],"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":[0.000004882013,0.0004273117,0.001241874,0.00002963048,0.00007696042,2.386929e-7,0.002801321,0.00006124832,0.002557427,0.3474815,0.0029921,0.6423255],"study_design_scores_gemma":[0.0001312771,0.00003213737,0.003445436,0.000001960706,0.000006310021,9.739238e-7,0.00002407171,0.9922673,0.0002214498,0.003545618,0.0002511544,0.00007232713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003788189,0.00001006286,0.9818691,0.00009990067,0.00004044772,0.0001831813,0.00001528411,0.0001381118,0.01385572],"genre_scores_gemma":[0.02929251,0.000001004852,0.9695057,0.00009088052,0.000009301815,0.000123485,0.00004773003,0.000004127784,0.0009252817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.992206,"threshold_uncertainty_score":0.1933828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06165726709038721,"score_gpt":0.3080899263665411,"score_spread":0.2464326592761539,"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."}}