{"id":"W2002235652","doi":"10.4018/jiit.2009070103","title":"User Perceptions and Employment of Interface Agents for Email Notification","year":2009,"lang":"en","type":"article","venue":"International Journal of Intelligent Information Technologies","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Intrusiveness; Computer science; Attractiveness; Personalization; Interface (matter); Perception; Demographics; Virtual agent; Usability; Internet privacy; User interface; Reliability (semiconductor); World Wide Web; Human–computer interaction; Psychology; Social psychology","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":[0.001122504,0.0001215641,0.0002175833,0.00129126,0.00006259391,0.0002869426,0.001049479,0.00008861046,0.00009028893],"category_scores_gemma":[0.001483628,0.00009133336,0.0001580213,0.000267292,0.00009414129,0.002758762,0.0001071499,0.0001248543,0.00005118438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009101055,"about_ca_system_score_gemma":0.00003488028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002464098,"about_ca_topic_score_gemma":0.000001616974,"domain_scores_codex":[0.9970715,0.00001919357,0.001617299,0.00008927671,0.001087258,0.0001154863],"domain_scores_gemma":[0.9958206,0.0001867763,0.00142986,0.0001980617,0.00232999,0.00003471862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002872845,0.0001612853,0.003787299,0.00001132952,0.000107721,8.427675e-7,0.00353181,0.001404109,0.001205252,0.04105002,0.02701537,0.9214377],"study_design_scores_gemma":[0.002645542,0.001875641,0.09562675,0.0003545788,0.0001392847,0.0001338035,0.09330605,0.009631887,0.1001001,0.07127615,0.6242102,0.0007000901],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5450481,0.0001101467,0.4415324,0.01140594,0.0008269237,0.0003943072,0.00006787789,0.00008041925,0.0005339305],"genre_scores_gemma":[0.9925957,0.0002866959,0.006531347,0.000225146,0.00002553957,0.000007770751,0.00001875761,0.0000027869,0.0003063132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9207376,"threshold_uncertainty_score":0.3724466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1739087740006702,"score_gpt":0.4465942141389014,"score_spread":0.2726854401382313,"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."}}