{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002604627,0.0007423662,0.0007950931,0.0005629777,0.0006807714,0.0008533139,0.003609842,0.0005113879,0.00001003668],"category_scores_gemma":[0.00003645036,0.0007375795,0.0002082326,0.0007836879,0.0002700924,0.0006465441,0.001123177,0.0008586168,0.00001143658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009176,"about_ca_system_score_gemma":0.0008677597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006456819,"about_ca_topic_score_gemma":0.00008438035,"domain_scores_codex":[0.9942808,0.00006574603,0.0009171762,0.002537738,0.0009441577,0.001254421],"domain_scores_gemma":[0.9953778,0.001131048,0.00066742,0.002082179,0.0004512013,0.000290392],"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":[0.000003412193,0.00002170214,0.000005229436,0.00003036227,0.000004749055,0.000003500293,0.0004255217,0.5403394,0.0001203507,0.01933644,9.433998e-7,0.4397084],"study_design_scores_gemma":[0.0003756214,0.0003978866,0.000006006735,0.0004042977,0.0000139816,0.0000292317,6.119949e-7,0.8810907,0.001111226,0.1150649,0.0007914408,0.0007141413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001425478,0.0005520137,0.9934114,0.00003217418,0.001431674,0.00333366,0.00000460579,0.0003674521,0.0007244838],"genre_scores_gemma":[0.2490603,0.00001295572,0.7489699,0.0004107196,0.0009207469,0.0005035682,0.00001806721,0.00006617753,0.00003758702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4389943,"threshold_uncertainty_score":0.9995075,"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."}}