{"id":"W2294971926","doi":"10.1504/ijcnds.2015.072398","title":"On social networking in intermittently connected networks","year":2015,"lang":"en","type":"article","venue":"International Journal of Communication Networks and Distributed Systems","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Overhead (engineering); Routing (electronic design automation); Delay-tolerant networking; Task (project management); Routing protocol; Wireless Routing Protocol","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":[0.001477633,0.0001887596,0.0003881107,0.0001970868,0.0001070007,0.0005017907,0.001533206,0.000171383,0.000002626793],"category_scores_gemma":[0.00003750145,0.0001704048,0.00009326086,0.000343586,0.00008212752,0.0004445901,0.000330765,0.0005845042,0.00000155952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888172,"about_ca_system_score_gemma":0.000101454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003703577,"about_ca_topic_score_gemma":0.0000106523,"domain_scores_codex":[0.9975449,0.0004522626,0.001009655,0.0001897959,0.0005387535,0.0002646668],"domain_scores_gemma":[0.9972008,0.0005151335,0.0008920523,0.0003422537,0.0008423034,0.0002074728],"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":[0.0005364827,0.0003488533,0.006499862,0.000005842054,0.0002805814,0.0002681918,0.0006414641,0.7536789,0.0000013192,0.09783289,0.04941202,0.09049366],"study_design_scores_gemma":[0.001530173,0.00009138305,0.001302125,0.0002984722,0.00001074606,0.0002385487,0.0002364129,0.9876673,1.571666e-7,0.001635471,0.006820098,0.0001691404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008416932,0.003850987,0.9823189,0.001353823,0.002935058,0.0001319539,0.000007618878,0.00003730593,0.0009474585],"genre_scores_gemma":[0.9978775,0.0006252112,0.0002590586,0.0003099718,0.0008046384,0.00000725274,0.0000851617,0.00001138709,0.00001985189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9894605,"threshold_uncertainty_score":0.6948904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04511118189151455,"score_gpt":0.2877352204639491,"score_spread":0.2426240385724346,"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."}}