{"id":"W4415367568","doi":"10.1109/icimia67127.2025.11200618","title":"Scam Guard: Intelligent Scam Protection for Users","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":"Horizon College and Seminary","funders":"","keywords":"Guard (computer science); Android (operating system); Communication source; Phishing; User agent; Key (lock); Service provider; Spamming","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008876151,0.0003074654,0.000277751,0.0004491799,0.0006650146,0.0008818273,0.0008062693,0.0002704379,0.0001072053],"category_scores_gemma":[0.0002277664,0.0003070201,0.0002913015,0.001393106,0.00008229029,0.000712305,0.0002671625,0.0003000114,0.0001496929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031509,"about_ca_system_score_gemma":0.0002800642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004640282,"about_ca_topic_score_gemma":0.0001407422,"domain_scores_codex":[0.9975729,0.0001122161,0.0005544128,0.0009215322,0.0003091781,0.000529782],"domain_scores_gemma":[0.9984646,0.000124231,0.0001598921,0.000791258,0.0003407653,0.0001192604],"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":[0.0001683963,0.0002025854,0.0001331879,0.0002664925,0.0001282046,9.715687e-7,0.0007933372,0.001060047,0.002967925,0.03980795,0.01001742,0.9444535],"study_design_scores_gemma":[0.0008380597,0.0009341004,0.001112842,0.0003329722,0.00009138818,0.00001051069,0.0001971837,0.6814592,0.1454215,0.02218694,0.1468493,0.0005661055],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005754847,0.0003070786,0.9697034,0.004340799,0.01033552,0.002187986,0.000002956817,0.0003376089,0.007029827],"genre_scores_gemma":[0.9620265,0.00008631675,0.01488438,0.0009962342,0.0004439563,0.000387821,0.000002278612,0.00002068423,0.02115185],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9562716,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305807314304472,"score_gpt":0.2782977814469624,"score_spread":0.2477170500165152,"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."}}