{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075887,0.0007888487,0.0008708026,0.006466565,0.001837873,0.002339258,0.001679553,0.001181312,0.001410031],"category_scores_gemma":[0.0102871,0.0006951742,0.0010464,0.005295313,0.0006192045,0.004359812,0.002756437,0.0009161823,0.0006014365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009137038,"about_ca_system_score_gemma":0.001217626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007049385,"about_ca_topic_score_gemma":0.01279834,"domain_scores_codex":[0.9984691,0.0002729338,0.00009698834,0.0004942977,0.0004723129,0.000194379],"domain_scores_gemma":[0.9956011,0.001941598,0.0005544047,0.000510131,0.001078735,0.0003141409],"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":[0.0007978403,0.0004441288,0.06862874,0.001851983,0.0005434869,0.002885649,0.004873841,0.1667977,0.03682191,0.07783543,0.04515016,0.5933691],"study_design_scores_gemma":[0.00004743659,0.00009423911,0.005899583,0.0001308876,0.0001054488,0.001473953,0.002282386,0.8278164,0.00662706,0.1352973,0.02018364,0.00004160482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2075514,0.002486221,0.7752469,0.001101768,0.00007053184,0.0005424679,0.005473807,0.001783319,0.005743691],"genre_scores_gemma":[0.4965657,0.001316907,0.4875365,0.0002533591,0.000103382,0.0004305969,0.01026804,0.0002258575,0.003299622],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007049385,"threshold_uncertainty_score":0.01401669,"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."}}