{"id":"W3087688157","doi":"10.23977/jeis.2020.51010","title":"Construction of distributed Data management platform for Land Engineering based on Hadoop Framework","year":2020,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Database; Big data; Data management; Business logic; Architecture; Data access layer; Systems architecture; Distributed database; Systems engineering; Data modeling; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001014962,0.0005277346,0.000543109,0.001083206,0.001430489,0.002157443,0.001844677,0.00046103,0.002196288],"category_scores_gemma":[0.001266791,0.0003448507,0.0008190868,0.000982248,0.0005413773,0.003091278,0.002832815,0.001019585,0.0007742388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007914462,"about_ca_system_score_gemma":0.002997613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007012629,"about_ca_topic_score_gemma":0.004290454,"domain_scores_codex":[0.9991546,0.0001006298,0.00009065282,0.0001907772,0.0003214375,0.0001418696],"domain_scores_gemma":[0.9994645,0.00004660893,0.00002475693,0.0001400241,0.0002031185,0.0001209804],"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":[0.001287631,0.0009934976,0.02489173,0.001388966,0.0006240218,0.00268149,0.002799968,0.1053898,0.06214796,0.1339206,0.1447796,0.5190946],"study_design_scores_gemma":[0.0003667986,0.0002798862,0.007355326,0.0001502037,0.0002275979,0.0007715703,0.001644403,0.6462994,0.03509986,0.0907898,0.2167375,0.0002777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05438919,0.000681292,0.8999679,0.001184765,0.0005309949,0.0009152851,0.002206968,0.025793,0.01433057],"genre_scores_gemma":[0.5262015,0.0007342602,0.4469869,0.0005128933,0.0002055089,0.001123633,0.01111154,0.001113788,0.01201007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007012629,"threshold_uncertainty_score":0.01394361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993275386086928,"score_gpt":0.2785933300861,"score_spread":0.2586605762252307,"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."}}