{"id":"W2401257373","doi":"10.4018/978-1-60566-058-5.ch029","title":"A Database Service Discovery Model for Mobile Agents","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Service discovery; Computer science; Service (business); Mobile service; Mobile agent; Scope (computer science); Mobile computing; World Wide Web; Distributed computing; Web service; Computer network","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":[0.002194541,0.0007672452,0.001035091,0.001353234,0.001495004,0.007061926,0.00409637,0.003354261,0.004941592],"category_scores_gemma":[0.003203642,0.0007178967,0.001469568,0.002752644,0.001530192,0.00815538,0.002546753,0.002687423,0.00435961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002668236,"about_ca_system_score_gemma":0.002884035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006369722,"about_ca_topic_score_gemma":0.004058331,"domain_scores_codex":[0.9978199,0.0004342461,0.0002652479,0.0004138254,0.0008762147,0.0001905676],"domain_scores_gemma":[0.998732,0.0003933853,0.00009468471,0.0003076266,0.0003317889,0.0001404964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007982562,0.00006605935,0.0002196749,0.0002031477,0.00003042295,0.0003046303,0.0003839956,0.01536074,0.00219784,0.9143418,0.009866366,0.05694542],"study_design_scores_gemma":[0.0001012149,0.0001114558,0.0001615676,0.0001325639,0.00007110199,0.001095177,0.000194387,0.2915809,0.003093266,0.3187224,0.3846604,0.00007564156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004068544,0.002612001,0.9454003,0.002280347,0.0003013247,0.0002974103,0.0003328081,0.001522929,0.04318431],"genre_scores_gemma":[0.1732301,0.006460171,0.7274194,0.00155235,0.0004854443,0.001250322,0.001682814,0.000416643,0.08750273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007061926,"threshold_uncertainty_score":0.01935947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257675499118579,"score_gpt":0.2634425853688506,"score_spread":0.2308658303776648,"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."}}