{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002636847,0.001506299,0.00171166,0.003622326,0.001869039,0.003118069,0.001740876,0.002510653,0.003134152],"category_scores_gemma":[0.01096478,0.0006127032,0.001055985,0.00440214,0.00390225,0.005836908,0.002782433,0.002908211,0.0004840781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002507024,"about_ca_system_score_gemma":0.0008189158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137626,"about_ca_topic_score_gemma":0.001698348,"domain_scores_codex":[0.9971356,0.001585254,0.0001133073,0.0003984605,0.0005649421,0.0002023798],"domain_scores_gemma":[0.9860275,0.01191115,0.0008264349,0.0004256208,0.0004873029,0.0003219524],"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":[0.00006233586,0.00007738781,0.001629042,0.0006114403,0.000124075,0.0005642761,0.0005143101,0.09739622,0.000925549,0.8574821,0.006729738,0.03388349],"study_design_scores_gemma":[0.00003211186,0.0001103887,0.00101353,0.0002502873,0.00005521207,0.000493369,0.0002004857,0.2615339,0.0003070558,0.7075079,0.02842878,0.0000669662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04192923,0.06199171,0.8223409,0.01131214,0.002045374,0.0004259247,0.0005002335,0.0003159609,0.05913858],"genre_scores_gemma":[0.7603332,0.08952418,0.1222441,0.002435345,0.00697218,0.001494477,0.0007074014,0.0001638857,0.01612517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003622326,"threshold_uncertainty_score":0.01818985,"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."}}