{"id":"W2010709573","doi":"10.1109/aiccsa.2013.6616479","title":"Multiparty/multimedia conferencing in mobile Ad Hoc networks for improving communications between firefighters","year":2013,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Computer science; Scalability; Multimedia; Wireless ad hoc network; Videoconferencing; Wireless; Mobile radio; Communications system; Mobile telephony; Computer network; Teleconference; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000416873,0.0002256851,0.0003233325,0.000118027,0.0001894203,0.0002754923,0.002196178,0.0001690682,0.0000520644],"category_scores_gemma":[0.00005038511,0.000208691,0.00009243383,0.0003680252,0.00008711854,0.0008587809,0.0008450731,0.0003404404,0.00007307743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068971,"about_ca_system_score_gemma":0.00007211223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001753358,"about_ca_topic_score_gemma":0.0005109925,"domain_scores_codex":[0.9980586,0.0001074696,0.0005358431,0.0004983494,0.0001600963,0.0006396308],"domain_scores_gemma":[0.9964879,0.001276122,0.0001616876,0.001735074,0.0001505865,0.0001886033],"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":[0.000002113041,0.0000595463,0.006671689,0.00001565594,0.00001672081,6.313865e-7,0.0008333206,0.00226154,0.0002015941,0.001007736,0.001517517,0.9874119],"study_design_scores_gemma":[0.0006807353,0.00008439208,0.006975265,0.00003002219,0.000006781182,8.485848e-7,0.00008974932,0.9853107,0.0001313403,0.0003928785,0.006020033,0.0002772803],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02895232,0.002276931,0.9641836,0.0006070214,0.0002987263,0.002571985,0.000006098364,0.000362333,0.0007409578],"genre_scores_gemma":[0.7640191,0.00014411,0.2335528,0.00024195,0.00008309048,0.001714151,0.00004112842,0.00002048846,0.0001832129],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9871346,"threshold_uncertainty_score":0.8510172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689968431829135,"score_gpt":0.2647886769536349,"score_spread":0.2378889926353436,"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."}}