{"id":"W4416342574","doi":"10.1109/wconf64849.2025.11233369","title":"Fake Profile Detection on Twitter: Methodology and Web Application Implementation","year":2025,"lang":"","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Web application; Scope (computer science); Selection (genetic algorithm); Social media; Mobile device; The Internet","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":[0.001203214,0.0002399236,0.0002322671,0.0004495333,0.0004387606,0.0003107397,0.0002852926,0.0002133367,0.00008978481],"category_scores_gemma":[0.00006408738,0.0002444329,0.00006411318,0.0009380205,0.0000660864,0.0004055703,0.0001775062,0.0002679886,0.00008229351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457375,"about_ca_system_score_gemma":0.0001057358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005045519,"about_ca_topic_score_gemma":0.0005899041,"domain_scores_codex":[0.9976263,0.000534948,0.0004481294,0.0008744387,0.0002150603,0.0003011353],"domain_scores_gemma":[0.9987463,0.0003303095,0.0001986741,0.0005226896,0.0001271995,0.00007485424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005811607,0.00004316692,0.0006482227,0.00004963705,0.00003496513,4.122671e-7,0.0003998519,0.00001755308,0.05063095,0.0248232,0.0004861097,0.9228078],"study_design_scores_gemma":[0.001870115,0.001242027,0.03463435,0.0000570204,0.0001201423,0.00002487236,0.0006594102,0.3451995,0.5689566,0.02099944,0.02568147,0.0005549988],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.071093,0.000101479,0.9186772,0.002149631,0.001825713,0.0008861789,0.000003560911,0.0001961574,0.005067085],"genre_scores_gemma":[0.9831302,0.00007233829,0.01375006,0.001398773,0.0001558659,0.0002038205,0.00000759476,0.00001043666,0.001270875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9222528,"threshold_uncertainty_score":0.9967685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04935453289752477,"score_gpt":0.3598706987279655,"score_spread":0.3105161658304407,"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."}}