{"id":"W4407727571","doi":"10.1016/j.geomat.2025.100052","title":"CSC-RS: Leveraging cloud-native serverless computing for large-scale remote sensing data processing","year":2025,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; School of Earth Sciences, Ohio State University; Zhejiang University; National Natural Science Foundation of China","keywords":"Cloud computing; Computer science; Scale (ratio); Distributed computing; Operating system; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001455715,0.0002427367,0.000340059,0.0001762045,0.0008593153,0.0005586919,0.001846527,0.00006697197,0.000001413818],"category_scores_gemma":[0.0001528844,0.0002330826,0.00008005739,0.0007182856,0.00003825697,0.00009453898,0.003021905,0.0001962236,0.000009410071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000840127,"about_ca_system_score_gemma":0.0001032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003733398,"about_ca_topic_score_gemma":0.00001602352,"domain_scores_codex":[0.9975733,0.0001127596,0.0004789914,0.0008614449,0.0003209061,0.0006525686],"domain_scores_gemma":[0.9978173,0.0003499101,0.0002132634,0.00138203,0.0001616806,0.00007577251],"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":[0.0000104407,0.00008602146,0.0001151707,0.0009852257,0.0001207727,0.00002120754,0.007175389,0.01098389,0.00004674529,0.004642833,0.004941517,0.9708708],"study_design_scores_gemma":[0.0005691146,0.00001577746,0.0004017038,0.000870505,0.00003508659,0.000008386293,0.0008368996,0.9825141,0.0001092743,0.005958973,0.008424601,0.0002555712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06450508,0.000160227,0.9281862,0.002775939,0.0005867257,0.0004245306,0.000005376216,0.0004610631,0.002894799],"genre_scores_gemma":[0.5329342,0.000001086754,0.46499,0.001080154,0.0002538567,8.156281e-7,0.00001843547,0.00001986127,0.0007015318],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9715302,"threshold_uncertainty_score":0.9504834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078739918210292,"score_gpt":0.2903164119260386,"score_spread":0.2595290127439357,"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."}}