{"id":"W7053240672","doi":"","title":"Unique Identification of CCSDS Objects and Services - CCSDS A31.0-G-1","year":2000,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","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":"Identifier; Standardization; Identification (biology); Context (archaeology); Data system; Construct (python library)","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":[0.005723372,0.001717825,0.001747704,0.007209136,0.00365054,0.006984548,0.002036407,0.002372423,0.02388592],"category_scores_gemma":[0.01681259,0.0009214095,0.001443855,0.007448186,0.00297052,0.005991803,0.004258526,0.003747077,0.01948754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00419479,"about_ca_system_score_gemma":0.0107653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009602878,"about_ca_topic_score_gemma":0.0080462,"domain_scores_codex":[0.9901155,0.002620978,0.001563718,0.0009129685,0.004004825,0.0007820989],"domain_scores_gemma":[0.9889606,0.002221057,0.0006718978,0.003402875,0.004371993,0.0003715985],"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":[0.0001650365,0.00005295065,0.0009859119,0.0007278303,0.00003568675,0.0002574312,0.0007800735,0.002745933,0.004508063,0.8008384,0.1007532,0.08814947],"study_design_scores_gemma":[0.00001896043,0.0000308673,0.0002375289,0.0003258385,0.00002814074,0.0001860619,0.0001857684,0.004172883,0.009656621,0.08527783,0.8998163,0.00006314644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006153331,0.001881358,0.8423733,0.001706417,0.004816677,0.001562019,0.02503766,0.01733563,0.09913363],"genre_scores_gemma":[0.07303486,0.004331918,0.8046211,0.001698821,0.001212494,0.003749666,0.05011673,0.005854008,0.05538037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02388592,"threshold_uncertainty_score":0.07990634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04077569065493507,"score_gpt":0.3368331563293986,"score_spread":0.2960574656744636,"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."}}