{"id":"W4214832132","doi":"10.1007/978-3-030-87049-2_14","title":"Geocommunity Based Data Forwarding in Social Delay Tolerant Networks","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network","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":[0.0005340147,0.0004031098,0.0006162758,0.0008073174,0.0009390161,0.001445629,0.001492698,0.001021449,0.002519379],"category_scores_gemma":[0.001394201,0.0001982375,0.000344746,0.001471903,0.0007297801,0.001582552,0.001256721,0.0006525317,0.0004799483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069313,"about_ca_system_score_gemma":0.0006337336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020151,"about_ca_topic_score_gemma":0.002615898,"domain_scores_codex":[0.9997237,0.0000528105,0.00001214337,0.00006714112,0.00009437439,0.00004980016],"domain_scores_gemma":[0.9994689,0.0003034765,0.0000468935,0.00006620742,0.00008055924,0.00003396495],"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":[0.0002214916,0.0001482426,0.001091404,0.0003676801,0.00005632729,0.0003974865,0.0004510627,0.2866843,0.01168576,0.3941643,0.01750849,0.2872235],"study_design_scores_gemma":[0.00002026198,0.0001217511,0.0003753123,0.00003938341,0.0000362479,0.0003036847,0.000187084,0.8338161,0.004891044,0.1273978,0.0327856,0.00002575224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05066502,0.00415934,0.9122297,0.001409628,0.000710625,0.0001498383,0.0002542955,0.0006360065,0.02978557],"genre_scores_gemma":[0.8650147,0.003688568,0.1020368,0.0002957222,0.0003477349,0.0001562199,0.0003405538,0.00007937373,0.02804033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002519379,"threshold_uncertainty_score":0.008428156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05233188502029449,"score_gpt":0.2605286508623282,"score_spread":0.2081967658420338,"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."}}