{"id":"W2123333458","doi":"10.1109/glocom.2009.5425729","title":"A Distributed Constraint Satisfaction Problem for Virtual Device Composition in Mobile Ad Hoc Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Mobile ad hoc network; Distributed computing; Quality of service; Computer network; Constraint (computer-aided design); Composition (language); Wireless ad hoc network; Node (physics); Service (business); Constraint satisfaction; Constraint satisfaction problem; Computer security; Wireless; Telecommunications; Engineering","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":[0.003115507,0.001413645,0.001621484,0.0006525994,0.001366039,0.002150527,0.002140773,0.002270547,0.004093095],"category_scores_gemma":[0.009447733,0.0006902595,0.001216748,0.001912782,0.001509738,0.002540837,0.00196223,0.001750664,0.0004822713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821194,"about_ca_system_score_gemma":0.002427567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024907,"about_ca_topic_score_gemma":0.00791675,"domain_scores_codex":[0.9964071,0.001793079,0.0001946239,0.0006798032,0.000587035,0.0003383161],"domain_scores_gemma":[0.9933381,0.005448091,0.0002625847,0.0002203365,0.0004272279,0.0003037139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002359509,0.0001810082,0.0006539888,0.0003804419,0.000154656,0.0005147693,0.0003397278,0.8830054,0.001244755,0.06017463,0.0061203,0.04699429],"study_design_scores_gemma":[0.0001415979,0.00007452517,0.0001781946,0.00002443713,0.00003552629,0.000128926,0.0001293184,0.9560658,0.0004922451,0.03915315,0.00355395,0.00002242807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03627307,0.000782088,0.9524858,0.001552445,0.0001446401,0.0003133091,0.0005673618,0.0002307964,0.007650584],"genre_scores_gemma":[0.4625831,0.0008281986,0.5258814,0.0004518976,0.0002072958,0.0008440623,0.001170273,0.0001953191,0.007838435],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01024907,"threshold_uncertainty_score":0.02037883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007154220053331574,"score_gpt":0.2368676363029086,"score_spread":0.229713416249577,"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."}}