{"id":"W3154426907","doi":"10.1007/s00607-021-00940-y","title":"Fast-MICDTN: a new decentralized control mechanism for content-centric disruption tolerant networks","year":2021,"lang":"en","type":"article","venue":"Computing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Decentralised system; Computer science; Distributed computing; Mechanism (biology); Control (management); Computer network; Artificial intelligence","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":[0.0003700091,0.0002910013,0.0005031389,0.00006486565,0.0003471911,0.0004178326,0.0005795566,0.000156452,0.00002391605],"category_scores_gemma":[0.00004189688,0.0002888272,0.000257543,0.0004230272,0.00002600529,0.0002260389,0.0002396246,0.000229706,0.00001394899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007789156,"about_ca_system_score_gemma":0.0002628461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001817128,"about_ca_topic_score_gemma":0.000006010611,"domain_scores_codex":[0.9973904,0.0001290078,0.000610118,0.0007147396,0.0002920765,0.0008636853],"domain_scores_gemma":[0.9980042,0.000447041,0.0002682058,0.0005382568,0.0003614153,0.0003809085],"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":[0.0000973198,0.0001758713,0.0004676825,0.00003982318,0.0001500395,0.0002525903,0.0004863593,0.01533837,0.0004636391,0.226508,0.004801878,0.7512184],"study_design_scores_gemma":[0.003681517,0.00006465694,0.0001157052,0.00010592,0.00004978095,0.0001181136,0.00005455352,0.98976,0.0001047135,0.004200991,0.001407029,0.0003369924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003526332,0.00107627,0.990625,0.001193157,0.002539659,0.0005161797,0.000005005477,0.0002951199,0.0002232801],"genre_scores_gemma":[0.9262051,0.00006588425,0.06991845,0.002677973,0.0007135665,0.000009553827,0.00003649685,0.00002666723,0.0003462842],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9744217,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954978302319499,"score_gpt":0.255667243213561,"score_spread":0.216117460190366,"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."}}