{"id":"W7011768837","doi":"","title":"Next Generation Space Internet (NGSI)End-to-End Resource Provisioning for Orbiting Missions - CCSDS 732.5-O-1-S","year":2003,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Space and Astronautical Science; Nuclear Physics; Canadian Space Agency; Indian Space Research Organisation; U.S. Geological Survey; National Space Organization; National Oceanic and Atmospheric Administration; Korea Aerospace Research Institute; European Organization for the Exploitation of Meteorological Satellites; European Space Agency; Agenzia Spaziale Italiana; Commonwealth Scientific and Industrial Research Organisation; Centre National d’Etudes Spatiales; National Aeronautics and Space Administration","keywords":"Provisioning; Resource (disambiguation); The Internet; Space (punctuation); Space exploration; Resource management (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123827,0.0005841216,0.0003973979,0.001465564,0.001168704,0.002507526,0.0009092094,0.001425998,0.01449773],"category_scores_gemma":[0.001792961,0.0002795428,0.0002221883,0.001524498,0.0006408188,0.001538164,0.0006692554,0.001044453,0.005981274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001953992,"about_ca_system_score_gemma":0.002498352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007717241,"about_ca_topic_score_gemma":0.008276748,"domain_scores_codex":[0.9990826,0.0001484896,0.00009338886,0.00006538147,0.0004645192,0.0001456618],"domain_scores_gemma":[0.999096,0.0001708718,0.00007010464,0.0002097934,0.0003786519,0.00007448558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006764714,0.0003779283,0.001699107,0.0008866079,0.00002483541,0.0004405437,0.0004095376,0.02089221,0.06074794,0.5314562,0.1491327,0.2332559],"study_design_scores_gemma":[0.00009560913,0.0004839728,0.001322247,0.0003934866,0.00002375169,0.000399524,0.0002127604,0.0322106,0.03370577,0.0233528,0.9077439,0.00005576108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05221698,0.003289701,0.4689618,0.004362575,0.001875034,0.003208198,0.01166154,0.01420941,0.4402149],"genre_scores_gemma":[0.404179,0.01016145,0.3074896,0.002794317,0.001128733,0.005345284,0.04443181,0.002195654,0.2222742],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01449773,"threshold_uncertainty_score":0.0484997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1629798131134677,"score_gpt":0.3595540490009373,"score_spread":0.1965742358874696,"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."}}