{"id":"W88062767","doi":"","title":"The Use of Interface Agents for eMail in Critical Incidents","year":2005,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Operability; Outcome (game theory); Computer science; Interface (matter); Computer security; Quality (philosophy); Internet privacy","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":[0.002298381,0.00004824926,0.0001189916,0.00009734932,0.0001407451,0.0003809769,0.000439795,0.00006006126,1.811738e-7],"category_scores_gemma":[0.002950036,0.00002971326,0.0001184185,0.0001810147,0.000007749672,0.00295575,0.00004098624,0.00009254743,0.000003069414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004014873,"about_ca_system_score_gemma":0.00004926897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001749569,"about_ca_topic_score_gemma":0.0000176318,"domain_scores_codex":[0.9985471,0.00009421111,0.0007936037,0.00003138243,0.0004236067,0.0001101173],"domain_scores_gemma":[0.9967945,0.0009259941,0.001361386,0.0001316191,0.0007640293,0.00002247053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007399765,0.0003546409,0.0676128,0.0006815112,0.000628899,2.78293e-7,0.06145944,0.3234729,0.0008917472,0.1688049,0.303011,0.07234187],"study_design_scores_gemma":[0.001477636,0.0001591046,0.01619851,0.0002159193,0.00002459673,0.00001785902,0.0004490005,0.2729954,0.001389861,0.0006850333,0.7062796,0.0001075627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1472322,0.0001281365,0.8333585,0.007891277,0.009869159,0.001201402,0.00003298187,0.00002496649,0.0002614015],"genre_scores_gemma":[0.9983429,0.000006505449,0.001116755,0.0001174615,0.0001232016,0.00001241957,4.824943e-7,0.000002274026,0.0002779587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8511108,"threshold_uncertainty_score":0.367377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05713138607185661,"score_gpt":0.3204133252435247,"score_spread":0.2632819391716681,"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."}}