{"id":"W2017300675","doi":"10.1007/s10586-007-0009-8","title":"Enabling ad-hoc collaboration between mobile users in the $\\mathcal{MESSENGER}$ project","year":2007,"lang":"en","type":"article","venue":"Cluster Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; World Wide Web; Wireless ad hoc network; Web service; Telecommunications; Wireless","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":[0.003497607,0.0002329803,0.0002684617,0.0002357124,0.0002891711,0.0004836321,0.001389561,0.0001409499,0.000002000831],"category_scores_gemma":[0.00007094655,0.0001902955,0.00006824698,0.002062195,0.00005211933,0.0005250222,0.0005123244,0.0004743624,0.00002366523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522773,"about_ca_system_score_gemma":0.0001201288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001857147,"about_ca_topic_score_gemma":0.0001028608,"domain_scores_codex":[0.9973005,0.000318797,0.0006253243,0.0005893897,0.000467361,0.000698621],"domain_scores_gemma":[0.9975674,0.001232443,0.0002331524,0.000771954,0.0001274124,0.00006769619],"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":[0.00005126963,0.0002744468,0.02129833,0.0001754575,0.00007051873,0.00024818,0.08684423,0.05488075,0.0006471769,0.004428931,0.004959954,0.8261207],"study_design_scores_gemma":[0.001720566,0.0003664666,0.01896892,0.0003303328,0.00002358876,0.00006382597,0.005753944,0.9241517,0.0006843163,0.0005524778,0.04646862,0.0009153004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4784115,0.0005306688,0.5181577,0.000371941,0.000503319,0.001079631,8.070695e-7,0.0002226129,0.0007218918],"genre_scores_gemma":[0.9728789,0.00001133206,0.02577269,0.0007225094,0.0005278608,0.00002662896,0.000007281462,0.00002224698,0.00003056262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8692709,"threshold_uncertainty_score":0.7760025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245442573274178,"score_gpt":0.2991994391343281,"score_spread":0.2767450134015863,"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."}}