{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004285615,0.0005374718,0.0002213921,0.002069021,0.002367917,0.00179051,0.0005395334,0.001138912,0.001637031],"category_scores_gemma":[0.03180118,0.0002807517,0.000258159,0.000620252,0.001138627,0.001846249,0.001493587,0.0007036052,0.0003563238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006132135,"about_ca_system_score_gemma":0.0004882342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000518324,"about_ca_topic_score_gemma":0.0007706129,"domain_scores_codex":[0.9925035,0.004822458,0.0004881223,0.0002628364,0.001375423,0.0005476508],"domain_scores_gemma":[0.9588028,0.02592295,0.009954124,0.001470021,0.00279302,0.001057053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001673068,0.0007941482,0.6393664,0.001156476,0.0001356938,0.01129635,0.1018269,0.003461549,0.01963315,0.007527591,0.004335784,0.2087929],"study_design_scores_gemma":[0.00009260566,0.007139795,0.5068511,0.001501616,0.0003025848,0.04522641,0.3010147,0.02625028,0.03481375,0.009693285,0.06672391,0.0003899677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892362,0.0002697861,0.005140056,0.0002733513,0.00003351644,0.0001119061,0.00002317407,0.0000924124,0.004819643],"genre_scores_gemma":[0.9985182,0.00009571385,0.001139989,0.00003484221,0.00001589401,0.00002471067,0.00001593206,0.000005000809,0.0001497601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004285615,"threshold_uncertainty_score":0.02266479,"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."}}