{"id":"W2014693842","doi":"10.1109/vtcfall.2014.6966080","title":"On Network Coding in Intermittently Connected Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Linear network coding; Computer network; Computer science; Routing protocol; Coding (social sciences); Routing (electronic design automation); Distributed computing; Delay-tolerant networking; Geographic routing; Static routing; 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":[0.0005690001,0.0001772368,0.0002542589,0.00007981544,0.00009136453,0.0001472697,0.0006525798,0.0001134661,0.00007058747],"category_scores_gemma":[0.00001573024,0.0001526924,0.00005779357,0.0004493969,0.00003509268,0.0001675702,0.0002063157,0.0002903365,0.00006901355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003070118,"about_ca_system_score_gemma":0.00002757846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001820198,"about_ca_topic_score_gemma":0.0000352738,"domain_scores_codex":[0.9983945,0.0001335148,0.0003341206,0.0004251573,0.0001806183,0.0005321229],"domain_scores_gemma":[0.9986073,0.0006022674,0.00008309865,0.0005240815,0.00003694003,0.0001463356],"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":[0.00002246908,0.00005362932,0.001872076,0.000003363849,0.000009564914,0.00004526625,0.00005825458,0.02416863,0.000001866561,0.7867851,0.0245551,0.1624246],"study_design_scores_gemma":[0.0004382965,0.0001128593,0.001148625,0.00007691285,0.00000220201,0.00001003011,0.000005103893,0.9866265,0.000002202713,0.009409575,0.00196421,0.0002034806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003570551,0.00002641337,0.9200616,0.0003691428,0.00101003,0.00011162,1.379208e-7,0.000219417,0.07463109],"genre_scores_gemma":[0.9895844,0.00001371921,0.005468629,0.003999928,0.0003160799,0.000008606117,0.000004190817,0.00001124909,0.0005931798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9860139,"threshold_uncertainty_score":0.6226614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109370478032996,"score_gpt":0.2146200732097885,"score_spread":0.2036830254064889,"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."}}