{"id":"W2102297485","doi":"10.1145/1132960.1132963","title":"Interestingness measures for data mining","year":2006,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Ranking (information retrieval); Data mining; Process (computing); Data science; Measure (data warehouse); Information retrieval","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":[0.006375656,0.000499811,0.001269542,0.000204063,0.0003942945,0.0007325637,0.01292307,0.0002017209,9.628759e-7],"category_scores_gemma":[0.002071792,0.0004512803,0.0002172329,0.0007908252,0.00005796782,0.000326387,0.0065853,0.0003067197,0.00003344399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005832926,"about_ca_system_score_gemma":0.0003495356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002104486,"about_ca_topic_score_gemma":0.00004462467,"domain_scores_codex":[0.9959319,0.0006876651,0.0009365287,0.001547529,0.0003089587,0.0005874268],"domain_scores_gemma":[0.9888154,0.004351588,0.00070416,0.005848452,0.0001774746,0.0001029058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[7.038353e-8,0.00003070365,0.000007516372,0.001275645,0.00004684846,0.00000278882,0.00002246008,0.000003164269,2.132701e-8,0.0002795556,0.01462828,0.983703],"study_design_scores_gemma":[0.00009443065,0.00001986294,0.00002387955,0.003655042,0.0001073291,0.00003514311,0.000002661264,0.06218503,1.431066e-7,0.000122055,0.9332471,0.0005072849],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[4.264906e-7,0.4580953,0.5404462,0.00002478091,0.0004838525,0.0003436609,0.00025426,0.0002554727,0.00009607524],"genre_scores_gemma":[0.000005548368,0.2733306,0.7220736,0.00002622875,0.0006745706,0.00005778322,0.003578048,0.00007559685,0.000178092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9831957,"threshold_uncertainty_score":0.9997939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.295248331531593,"score_gpt":0.4196157088055408,"score_spread":0.1243673772739478,"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."}}