{"id":"W2169090952","doi":"10.1145/1592665.1592678","title":"MobiClique","year":2009,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":363,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Dissemination; Exploit; Wireless ad hoc network; Key (lock); Middleware (distributed applications); Mobile ad hoc network; World Wide Web; Bluetooth; Mobile device; Mobile computing; Computer network; Social network (sociolinguistics); Delay-tolerant networking; Vehicular ad hoc network; Computer security; Distributed computing; Social media; Wireless; Telecommunications; Network packet","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":[0.001486074,0.0009402807,0.0006532379,0.0009520902,0.002115944,0.003817454,0.00314469,0.001650495,0.009637306],"category_scores_gemma":[0.002829514,0.000511594,0.000697216,0.0006314818,0.0009120869,0.004473941,0.003132143,0.002057632,0.005884602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009526246,"about_ca_system_score_gemma":0.00238696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007483318,"about_ca_topic_score_gemma":0.01086841,"domain_scores_codex":[0.998991,0.0002476037,0.00005696216,0.0001989815,0.0003344064,0.0001711219],"domain_scores_gemma":[0.9989919,0.0002090964,0.00008719212,0.0002431328,0.0001831482,0.0002854988],"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":[0.0005725878,0.0003640587,0.005211411,0.001168318,0.0001939612,0.001248496,0.001892216,0.03307964,0.01825945,0.4527934,0.2196667,0.2655498],"study_design_scores_gemma":[0.00009747075,0.0001347803,0.0006096148,0.0001058368,0.00004994182,0.0006941255,0.0002833593,0.05417001,0.002867728,0.02984825,0.9110662,0.00007260001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03685509,0.007388799,0.6085628,0.007787137,0.004397088,0.001790707,0.002650535,0.02640235,0.3041655],"genre_scores_gemma":[0.2606198,0.004969973,0.6239954,0.003779287,0.001664506,0.001822983,0.003925043,0.003939926,0.09528295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009637306,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009885545038354272,"score_gpt":0.2251961270612521,"score_spread":0.2153105820228978,"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."}}