{"id":"W1591032459","doi":"10.1007/978-3-540-30121-9_36","title":"Desirable Mobile Networking Method for Formulating an Efficient Mobile Conferencing Application","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Korea Science and Engineering Foundation; Federation for the Humanities and Social Sciences","keywords":"Bluetooth; Computer network; Computer science; Network packet; Mobile technology; Delay-tolerant networking; Mobile device; Mobile computing; Telecommunications; Wireless; Optimized Link State Routing Protocol; World Wide Web; Routing protocol","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007073609,0.0007343367,0.000478612,0.0006497072,0.0006927351,0.001050762,0.001484049,0.0007381791,0.005419402],"category_scores_gemma":[0.002141441,0.0004278557,0.0008513843,0.0004883385,0.000614231,0.001125898,0.00104939,0.001277397,0.001495163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006972077,"about_ca_system_score_gemma":0.001103511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039017,"about_ca_topic_score_gemma":0.002059552,"domain_scores_codex":[0.9989932,0.0001917319,0.00007179601,0.0001848203,0.0004539174,0.0001044919],"domain_scores_gemma":[0.9992183,0.0002960656,0.000046506,0.0001581892,0.000249071,0.00003186769],"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":[0.0003530774,0.0002798551,0.0009732402,0.0004618165,0.00006932339,0.000549311,0.0003789539,0.07267386,0.1174712,0.4854322,0.009736321,0.3116209],"study_design_scores_gemma":[0.0001040535,0.0003188758,0.0004188862,0.00007476008,0.0001226177,0.0006639316,0.00009068636,0.7503209,0.08530705,0.1178344,0.04469363,0.00005027778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005102539,0.00003651747,0.9893495,0.000076493,0.00004280463,0.0000725747,0.00004282871,0.0006972772,0.004579504],"genre_scores_gemma":[0.1340235,0.00009289851,0.8568724,0.00008580825,0.00006555485,0.0002952733,0.0002027869,0.0002786303,0.008083118],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005419402,"threshold_uncertainty_score":0.01812971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275564831577414,"score_gpt":0.2868335239951681,"score_spread":0.2640778756793939,"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."}}