{"id":"W2621145626","doi":"10.14778/3099622.3099626","title":"Attribute-driven community search","year":2017,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":241,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Node (physics); Theoretical computer science; Relevance (law); Graph; Community structure; Cohesion (chemistry); Data mining; Mathematics; Combinatorics","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":[0.0003992121,0.0001178787,0.0002042,0.00003298868,0.0009214783,0.0001283639,0.001490695,0.00001998553,0.0001045891],"category_scores_gemma":[0.00001603418,0.00008449266,0.0001849713,0.00007309437,0.0001575961,0.0001373857,0.001180349,0.0003128576,0.000007502631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003620216,"about_ca_system_score_gemma":0.00001500255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413415,"about_ca_topic_score_gemma":0.000009821865,"domain_scores_codex":[0.9992111,0.0000151905,0.0001915436,0.0001225815,0.0002438831,0.0002156724],"domain_scores_gemma":[0.9989951,0.00002920504,0.0002797107,0.000463671,0.0001853656,0.00004698851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001227167,0.0002732651,0.9129953,0.00003240821,0.0002106703,5.489399e-8,0.000570152,0.00001904423,0.02006343,0.05141855,0.007716234,0.006688601],"study_design_scores_gemma":[0.00103002,0.0001501722,0.2870824,0.0002759038,0.00023448,0.000001382974,0.001667131,0.001562728,0.6484465,0.05085787,0.008218663,0.0004727438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562356,0.0000103338,0.0001491237,0.0007569417,0.00004505531,0.0002888524,0.0000146492,0.00003533994,0.04246411],"genre_scores_gemma":[0.9987271,0.000003187533,0.0006295879,0.00001723156,0.0001229577,0.0000324204,0.000002595528,0.00001094974,0.0004539333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.628383,"threshold_uncertainty_score":0.7087359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04102465157361466,"score_gpt":0.3032241378313941,"score_spread":0.2621994862577794,"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."}}