{"id":"W2168936116","doi":"10.1109/icmas.1998.699223","title":"A multi-agent testbed for diverse seamless personal information networking applications","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Testbed; Computer science; Intelligent agent; Computer network; World Wide Web","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":[0.0002061159,0.0001278126,0.00009736732,0.00009933096,0.0002600768,0.000220665,0.0005650813,0.00003597005,0.0000807137],"category_scores_gemma":[0.00000624404,0.0001227673,0.00007986101,0.0003785891,0.00001951672,0.0007298099,0.000255065,0.00006040633,0.0003220764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203131,"about_ca_system_score_gemma":0.00001232253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001367497,"about_ca_topic_score_gemma":0.00001195305,"domain_scores_codex":[0.9989578,0.0000219978,0.0002355527,0.000250996,0.0002323488,0.0003013639],"domain_scores_gemma":[0.9992441,0.00007880263,0.0001067133,0.0003878692,0.00008401237,0.00009848768],"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":[0.000004742133,0.0002077504,0.0006510284,0.0000696911,0.00005496636,0.000002244971,0.001241861,0.01022858,0.00002358978,0.02674728,0.07320681,0.8875614],"study_design_scores_gemma":[0.0004473871,0.00002310092,0.000210195,0.000006011117,0.000008079343,0.00000105973,0.00007864743,0.7771781,0.00001379722,0.00005195868,0.2218555,0.0001261379],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000209515,0.00006173723,0.9952826,0.0004826401,0.0002357888,0.001301841,0.000004024055,0.000272769,0.002149014],"genre_scores_gemma":[0.5704843,0.00004844993,0.4200547,0.004215971,0.0004216871,0.002552153,0.00004947897,0.00001616057,0.002157101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8874353,"threshold_uncertainty_score":0.5006304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487500504925794,"score_gpt":0.2424973337154196,"score_spread":0.1976223286661616,"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."}}