{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004214144,0.0001382754,0.0001284815,0.0001219927,0.0005279991,0.0001075899,0.001877721,0.00002332752,0.0002503875],"category_scores_gemma":[0.00001467757,0.0001504773,0.00005432997,0.001093353,0.0000714427,0.0001133422,0.0006308269,0.000210502,0.00009602636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000331738,"about_ca_system_score_gemma":0.00009041369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002475329,"about_ca_topic_score_gemma":0.000001818343,"domain_scores_codex":[0.9984805,0.00002842032,0.0002581139,0.0005678834,0.0003616225,0.0003034326],"domain_scores_gemma":[0.9986641,0.000156298,0.00009088968,0.0009655142,0.00003203773,0.00009120187],"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":[0.000005898691,0.0001833756,0.00009706159,0.00000835287,0.00001057124,0.000007104935,0.0006124726,0.001166004,0.0005285935,0.3435809,0.007183761,0.6466159],"study_design_scores_gemma":[0.0001748313,0.0001490661,0.0003413315,0.0000085337,0.00001270574,0.00002341843,0.0009980069,0.6930746,0.01863301,0.0372402,0.2486511,0.0006932268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001617772,0.00005602104,0.9862052,0.0005265629,0.0001818105,0.0001850929,0.00002570941,0.0002657897,0.01093609],"genre_scores_gemma":[0.6841775,0.000004005068,0.3137998,0.001292256,0.00003305163,0.0004732675,0.00003711603,0.0000122217,0.0001707799],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6919085,"threshold_uncertainty_score":0.6136287,"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."}}