{"id":"W4223497277","doi":"10.1007/s10489-022-03385-8","title":"UGMINE: utility-based graph mining","year":2022,"lang":"en","type":"article","venue":"Applied Intelligence","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Pruning; Data mining; Graph; Decision tree; Machine learning; Artificial intelligence; Theoretical computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009495107,0.0012502,0.001045189,0.00379711,0.0006400513,0.001612243,0.00291323,0.0009959304,0.006367941],"category_scores_gemma":[0.007737119,0.0008107847,0.001396526,0.002772244,0.0004917716,0.002004124,0.001629155,0.001688799,0.002787032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006397,"about_ca_system_score_gemma":0.001360592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004443494,"about_ca_topic_score_gemma":0.009316049,"domain_scores_codex":[0.999207,0.0001798112,0.00004651181,0.0001635033,0.0003504662,0.00005289638],"domain_scores_gemma":[0.9983215,0.0009092276,0.0001205728,0.0003521215,0.0002244184,0.00007217625],"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":[0.0005665734,0.0006345278,0.006479907,0.001305661,0.0003697834,0.0004696682,0.0002110952,0.1122008,0.006736101,0.03587138,0.120277,0.7148775],"study_design_scores_gemma":[0.00008366854,0.00008491353,0.0007100441,0.00006242142,0.00005310567,0.0002779986,0.0000445712,0.9374787,0.005820442,0.0362072,0.01915063,0.00002634397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01320245,0.0006928252,0.9042737,0.0006135089,0.0001171159,0.0005557449,0.01022896,0.06665877,0.00365693],"genre_scores_gemma":[0.1298172,0.0006631001,0.843156,0.0003580611,0.00006391919,0.000676444,0.018382,0.002551132,0.004332094],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006367941,"threshold_uncertainty_score":0.02130294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769754190244992,"score_gpt":0.2569881090283043,"score_spread":0.2292905671258544,"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."}}