{"id":"W2409850475","doi":"10.1007/978-3-319-20454-3_5","title":"Conclusion and Future Research Directions","year":2015,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005118222,0.0003082447,0.0004069516,0.0004396722,0.0001232595,0.0001928846,0.0003623758,0.0003578094,0.000006656105],"category_scores_gemma":[0.000003579915,0.0003027696,0.00004900923,0.0002322949,0.00005992179,0.0001418391,0.0008161163,0.00124367,0.000007137384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129668,"about_ca_system_score_gemma":0.00008946351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001594588,"about_ca_topic_score_gemma":0.000002940328,"domain_scores_codex":[0.9980636,0.00002619588,0.0003126415,0.0006668915,0.0004348532,0.0004957841],"domain_scores_gemma":[0.9990016,0.0001875907,0.00004702245,0.0003427906,0.0001243129,0.0002966774],"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":[0.000006435933,0.00001539458,0.00001544743,0.00003256271,0.00002412466,0.0001731688,0.0001130043,0.00006546456,0.000003565885,0.3425088,0.001584433,0.6554576],"study_design_scores_gemma":[0.0001971696,0.0001000888,0.0001019419,0.0001056381,0.000005533425,0.0001026862,4.376341e-7,0.5447284,0.00000128287,0.005151627,0.4492122,0.0002930273],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001874025,0.0394128,0.8962657,0.0009821929,0.00180699,0.0004854488,0.000004088092,0.0004578399,0.06039747],"genre_scores_gemma":[0.2845762,0.1166647,0.2966036,0.002667221,0.04846657,0.0002686742,0.0001117091,0.001070385,0.249571],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6551646,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044889073115445,"score_gpt":0.2546562486814665,"score_spread":0.224207357950312,"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."}}