{"id":"W4386497976","doi":"10.1145/3622940","title":"Discovering Interesting Patterns from Hypergraphs","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Knowledge Discovery from Data","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Hypergraph; Data mining; Computer science; Theoretical computer science; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001025094,0.0007097881,0.0006533889,0.00623309,0.0009177239,0.002275039,0.001038389,0.0008503133,0.001454786],"category_scores_gemma":[0.007772056,0.00060046,0.001198922,0.005455595,0.0008695932,0.003730134,0.001616578,0.001109795,0.0004656785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007589065,"about_ca_system_score_gemma":0.001293607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002253375,"about_ca_topic_score_gemma":0.004695178,"domain_scores_codex":[0.9981,0.0004964424,0.000148362,0.0005737024,0.0005540704,0.0001274482],"domain_scores_gemma":[0.9946021,0.003154426,0.0005899136,0.0007431779,0.0007184056,0.0001920978],"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":[0.0003478696,0.0003431453,0.03773529,0.001200729,0.0006253048,0.003206151,0.001751629,0.09249736,0.02259602,0.1665487,0.0154213,0.6577266],"study_design_scores_gemma":[0.00004659355,0.00008376808,0.005189066,0.0001604437,0.0002102283,0.001713714,0.0009051104,0.5177238,0.008780741,0.4417001,0.02342821,0.00005820341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06337195,0.001016367,0.9281379,0.0008289096,0.00004022895,0.0002887736,0.001864577,0.001312645,0.00313857],"genre_scores_gemma":[0.3182794,0.001339423,0.6726004,0.0003100804,0.00008197915,0.0003944276,0.004742163,0.0001557847,0.002096257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00623309,"threshold_uncertainty_score":0.005506217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07976721731493004,"score_gpt":0.3152483108612908,"score_spread":0.2354810935463608,"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."}}