{"id":"W7070935503","doi":"","title":"Reference Architecture for Space Data Systems - CCSDS 311.0-M-1","year":2008,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nuclear Physics; National Institute of Information and Communications Technology; Japan Aerospace Exploration Agency; Canadian Space Agency; National Commission for Science and Technology; Iran Telecommunication Research Center; European Space Agency; Agenzia Spaziale Italiana; European Organization for the Exploitation of Meteorological Satellites; Korea Aerospace Research Institute; National Oceanic and Atmospheric Administration; China National Space Administration; National Space Organization; Belgian Federal Science Policy Office; Chinese Academy of Sciences; U.S. Geological Survey; Indian Space Research Organisation; Centre National d’Etudes Spatiales; Commonwealth Scientific and Industrial Research Organisation; National Aeronautics and Space Administration","keywords":"Interoperability; Data system; Domain (mathematical analysis); Space (punctuation); Representation (politics); Reference data; External Data Representation; Architecture","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":[0.01240388,0.001926218,0.001746954,0.008424123,0.003558388,0.01253801,0.006846462,0.006748431,0.01758128],"category_scores_gemma":[0.02579461,0.001544451,0.002038592,0.008204201,0.00271945,0.009863058,0.006239316,0.005778671,0.02475426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008636694,"about_ca_system_score_gemma":0.01906832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02903623,"about_ca_topic_score_gemma":0.02000077,"domain_scores_codex":[0.9850404,0.003811785,0.003291935,0.0009885567,0.005788042,0.001079295],"domain_scores_gemma":[0.9721129,0.002745869,0.001063543,0.007916067,0.01525678,0.0009047828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001819759,0.0001544238,0.0013955,0.001197693,0.00006578416,0.0003321941,0.001094508,0.02263095,0.007413763,0.7395552,0.1135624,0.1124157],"study_design_scores_gemma":[0.00004579677,0.0001069661,0.0005129526,0.0007643555,0.00004463281,0.0002634525,0.0002521002,0.0154874,0.004065346,0.04671543,0.931651,0.00009053115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005579723,0.002155881,0.8296185,0.003284234,0.001607358,0.002008,0.006868962,0.01877471,0.1301026],"genre_scores_gemma":[0.04225041,0.004700086,0.8086175,0.001714448,0.0005103293,0.004342936,0.05528579,0.005519811,0.07705876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02903623,"threshold_uncertainty_score":0.06559873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1649417090963642,"score_gpt":0.3801837005992805,"score_spread":0.2152419915029163,"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."}}