{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0166726,0.0004103493,0.000494611,0.002172771,0.0006956079,0.003799306,0.00349595,0.0008761649,0.001336532],"category_scores_gemma":[0.01959254,0.0007342477,0.0008904787,0.002202568,0.0009798066,0.005112029,0.002392588,0.001305159,0.0008188452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035915,"about_ca_system_score_gemma":0.003469958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519651,"about_ca_topic_score_gemma":0.001689509,"domain_scores_codex":[0.9945978,0.002083387,0.0008097076,0.0009549931,0.001408405,0.0001457363],"domain_scores_gemma":[0.9910546,0.002788008,0.0006266064,0.002174324,0.002927388,0.00042912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002547516,0.0003803894,0.01745815,0.00238325,0.0003844422,0.0007294694,0.005315525,0.0272774,0.04718171,0.2225322,0.01031338,0.6657893],"study_design_scores_gemma":[0.0001880912,0.0008588125,0.009409484,0.001312422,0.0004762327,0.002051008,0.004324911,0.299067,0.0809552,0.1110523,0.4900648,0.0002398831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009384139,0.0006820147,0.9858036,0.0004392307,0.00006651692,0.0004351207,0.0001824441,0.001126607,0.001880275],"genre_scores_gemma":[0.03872625,0.0005988856,0.9584237,0.0001287677,0.00003013634,0.0002920559,0.0007234301,0.0001397488,0.000937089],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0166726,"threshold_uncertainty_score":0.08817416,"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."}}