{"id":"W2188967745","doi":"","title":"The Design and Development of Spatial Database Management Systems (SDMS) for Hydrographic Studies using Coupled Open-Source GIS and Relational Database.","year":2011,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Database; Spatial database; Computer science; Database design; Relational database; Geographic information system; Database model; Unified Modeling Language; Data model (GIS); Software; Data mining; Spatial analysis; Geography; Cartography; Remote sensing; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004079976,0.0001232749,0.0002202399,0.0001250335,0.002151544,0.0001026742,0.0002250681,0.00003253596,0.000005510691],"category_scores_gemma":[0.00009932215,0.00008615582,0.00001951559,0.0001970182,0.0005024197,0.0004388257,0.0004292998,0.00003717981,0.000001029022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002996385,"about_ca_system_score_gemma":0.00006532988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003372859,"about_ca_topic_score_gemma":0.001920351,"domain_scores_codex":[0.9985424,0.000134719,0.0005203635,0.0001931986,0.0003761225,0.0002332136],"domain_scores_gemma":[0.9987469,0.0004646138,0.0002937032,0.0001692107,0.0002691552,0.00005640863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005075663,0.0002105859,0.06710421,0.001698777,0.004349326,0.000003802897,0.2766496,0.0003024827,0.00009927141,0.6352367,0.002182867,0.01165478],"study_design_scores_gemma":[0.004873274,0.0002075906,0.02243876,0.001056592,0.00046034,0.00001014974,0.7935546,0.03517954,0.0001436072,0.001537161,0.1393625,0.001175827],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08807777,0.004704757,0.8937221,0.0001710371,0.0006606713,0.007042227,0.00004078568,0.00008868492,0.005491943],"genre_scores_gemma":[0.8840742,0.001101675,0.113905,0.00002676447,0.00004278702,0.0003576118,0.00001669393,0.00001143496,0.0004638756],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7959964,"threshold_uncertainty_score":0.9991475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2251813792416611,"score_gpt":0.3433953059507721,"score_spread":0.1182139267091109,"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."}}