{"id":"W4409061996","doi":"10.1145/3726867","title":"Site Inspector: Improving Browser Communication of Website Security Information","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Privacy and Security","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inspector general; Computer security; World Wide Web; Computer science; Internet privacy; Business; Accounting","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003111063,0.0001148921,0.0001407447,0.0002312592,0.0003284917,0.0001354409,0.0006085342,0.000106886,0.00001187349],"category_scores_gemma":[0.0000782291,0.000119256,0.00006441716,0.0004872141,0.00005553991,0.001774794,0.00006626233,0.0003176913,0.000008599252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004457889,"about_ca_system_score_gemma":0.00004578945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003324929,"about_ca_topic_score_gemma":0.0001011136,"domain_scores_codex":[0.9991479,0.00009724434,0.0002921444,0.0001796762,0.0001546097,0.0001284452],"domain_scores_gemma":[0.9985723,0.0001693964,0.0001163515,0.0009908238,0.0001070386,0.00004410154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004148553,0.001247345,0.006900537,0.001261673,0.0003089812,0.000002255219,0.08901961,0.000491379,0.006590735,0.151308,0.001123765,0.7413309],"study_design_scores_gemma":[0.005283471,0.0008448747,0.1142862,0.0006281777,0.0002374395,0.00004034533,0.0008577008,0.1646758,0.1493238,0.5119004,0.05048301,0.001438818],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4437894,0.0001763194,0.5522864,0.00165786,0.000310193,0.0002403553,0.00002053587,0.0002064797,0.001312509],"genre_scores_gemma":[0.9955217,0.0001809575,0.00395116,0.0002944068,0.000007173685,0.0000134887,0.000007548776,0.000002834347,0.00002078701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7398921,"threshold_uncertainty_score":0.4863117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007328536151657509,"score_gpt":0.2299549738222611,"score_spread":0.2226264376706036,"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."}}