{"id":"W2359871332","doi":"","title":"Design and Realization of Digital Pipeline System Based on ArcGIS Engine","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Pipeline (software); ArcGIS Server; Database; Realization (probability); Architecture; SQL; Sql server; Embedded system; Operating system; Client–server model; Server","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":[0.0000925584,0.0001318788,0.0001354017,0.0001469135,0.00009999233,0.0000472239,0.0004470168,0.00004361515,0.000001565385],"category_scores_gemma":[6.204324e-7,0.0001305233,0.00003635918,0.0004292252,0.00004511888,0.0001826328,0.0001009984,0.00006034554,0.00001184993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003092517,"about_ca_system_score_gemma":0.00003041086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003259115,"about_ca_topic_score_gemma":8.300278e-8,"domain_scores_codex":[0.9990793,0.00002009054,0.0002898365,0.000359952,0.0001222339,0.0001285812],"domain_scores_gemma":[0.9991148,0.0001038722,0.0001421534,0.00042348,0.000148672,0.00006702902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009957822,0.0003209134,0.000050349,0.00006408533,0.00001100175,0.000001139641,0.0002257289,0.01501345,0.00118059,0.715111,0.0005150074,0.2674968],"study_design_scores_gemma":[0.0002834792,0.0001016327,0.0002549619,0.00004429613,0.000009535145,0.00001830791,0.000007145826,0.9473441,0.01370987,0.02425061,0.01374842,0.0002276583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005055818,0.00001909106,0.9976815,0.0001216984,0.000005556968,0.0007207828,0.00001328407,0.0003496825,0.001037826],"genre_scores_gemma":[0.272453,0.000003123845,0.7270659,0.00009952267,0.00002144889,0.0003043999,0.00002432537,0.00001008677,0.00001817546],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9323307,"threshold_uncertainty_score":0.5322587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272474035894018,"score_gpt":0.2356364558271581,"score_spread":0.2129117154682179,"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."}}