{"id":"W4408100312","doi":"10.26599/tst.2024.9010065","title":"Social Media-Driven User Community Finding with Privacy Protection","year":2025,"lang":"en","type":"article","venue":"Tsinghua Science & Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation","keywords":"Internet privacy; Privacy protection; Computer science; Social media; Computer security; World Wide Web","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00213281,0.0001535085,0.0002092319,0.001362945,0.006929194,0.0002402903,0.002132709,0.0003107041,0.00002349974],"category_scores_gemma":[0.003530606,0.0001452295,0.00003461567,0.006412132,0.005501627,0.0009339458,0.0009323384,0.0009442925,0.00002798474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006453645,"about_ca_system_score_gemma":0.0009609381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002252126,"about_ca_topic_score_gemma":0.004215159,"domain_scores_codex":[0.9979044,0.0002539216,0.0002181511,0.0004108773,0.0005471424,0.0006655372],"domain_scores_gemma":[0.9987942,0.00009507137,0.0001579585,0.0006201455,0.0002607822,0.00007185889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00018284,0.0006950911,0.02006607,0.0000967424,0.00005267101,0.00001504069,0.1087563,0.00001847669,0.05987129,0.6528022,0.001708306,0.155735],"study_design_scores_gemma":[0.002659711,0.0006422664,0.02915289,0.0004805004,0.0001302549,0.00003782096,0.1009433,0.0006113808,0.07556099,0.4763037,0.3118954,0.001581778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532753,0.00003904718,0.01463591,0.01889423,0.0005827651,0.000801731,0.000004453875,0.001111638,0.01065489],"genre_scores_gemma":[0.9979681,0.00001556298,0.001560566,0.0001086961,0.0001020011,0.00008035365,0.000002659061,0.000008181179,0.0001538803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3101871,"threshold_uncertainty_score":0.9972048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0505621800898568,"score_gpt":0.341973125649909,"score_spread":0.2914109455600522,"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."}}