{"id":"W2060892169","doi":"10.1145/508791.508812","title":"Our <i>guest</i> agents are welcome to your agent platforms","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Middleware (distributed applications); Distributed computing; Plug-in; Multi-agent system; Server; Plug and play; Internet of Things; The Internet; Order (exchange); Human–computer interaction; World Wide Web; Operating system; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002757502,0.0002933052,0.0002496637,0.0002095792,0.0001641443,0.000285003,0.001831176,0.0000604245,0.0003769181],"category_scores_gemma":[0.0000157838,0.0002478312,0.0001286293,0.0007808697,0.000008727146,0.0004801934,0.001056268,0.0001438601,0.007205302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936748,"about_ca_system_score_gemma":0.000009330883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003230244,"about_ca_topic_score_gemma":0.00003018225,"domain_scores_codex":[0.9974242,0.00002707777,0.0003824971,0.0007527448,0.0006854316,0.000728054],"domain_scores_gemma":[0.9979817,0.0000178321,0.0001231404,0.001392283,0.00005257073,0.0004325011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003461516,0.0001993038,0.001425018,0.00002081999,0.00004459445,0.0002408027,0.0003230404,0.003876264,0.00001809637,0.007361965,0.9602789,0.02620779],"study_design_scores_gemma":[0.001070414,0.0003078982,0.007270918,0.00007843709,0.00002061478,0.00002100131,0.0002928802,0.1537624,0.0007655871,0.0006818476,0.8347018,0.001026177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05901293,0.0002908144,0.8318397,0.01858723,0.01016541,0.002544102,0.000009380037,0.002118205,0.07543224],"genre_scores_gemma":[0.9298232,0.00006808373,0.02020748,0.01802197,0.000750995,0.0001649692,0.000004034751,0.0000373198,0.03092197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8708102,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07388611737913922,"score_gpt":0.2689342457498228,"score_spread":0.1950481283706836,"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."}}