{"id":"W2965684979","doi":"10.14778/3339490.3339492","title":"Finding theme communities from database networks","year":2019,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Theme (computing); Computer science; Scalability; Database; Tree (set theory); World Wide Web; Mathematics","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":[0.000217629,0.0001016773,0.0001247771,0.00003345599,0.0001366476,0.0001360621,0.001977144,0.00002496541,0.00002941112],"category_scores_gemma":[0.00001011169,0.0000708892,0.00005043095,0.0002248446,0.00004162768,0.0004113986,0.001299918,0.0001455137,0.00002572513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002584581,"about_ca_system_score_gemma":0.00001288468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003550345,"about_ca_topic_score_gemma":0.000003850589,"domain_scores_codex":[0.9992383,0.000005103206,0.0001783393,0.0001783644,0.0002206612,0.0001792019],"domain_scores_gemma":[0.9991989,0.00008066827,0.0001640004,0.0004572907,0.0000630789,0.00003613176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002308966,0.0006161372,0.05098047,0.0001423386,0.0002778952,5.800414e-7,0.01213777,0.000525456,0.05268042,0.7614514,0.03521295,0.08595155],"study_design_scores_gemma":[0.001711956,0.0001836948,0.01493064,0.0009238634,0.0000799188,0.00001612923,0.005691132,0.8203976,0.09220814,0.0183294,0.04464206,0.0008855092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317533,0.0004321363,0.04322125,0.003025964,0.0009804774,0.001062916,0.0001772816,0.0002677334,0.01907898],"genre_scores_gemma":[0.9611562,0.00004733,0.03815208,0.0002248026,0.00005756033,0.0000413943,0.00001446791,0.000008224468,0.0002978861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8198721,"threshold_uncertainty_score":0.3674058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209118966385737,"score_gpt":0.2322965180983817,"score_spread":0.211384621459808,"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."}}