{"id":"W85579431","doi":"","title":"FUZZY BASED SPATIAL QUERY AND ANALYSIS IN AN URBAN INFORMATION SYSTEM","year":2002,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sophistication; Geographic information system; Information system; Valuation (finance); Purchasing; Computer science; Spatial decision support system; Population; Urban planning; CityGML; Decision support system; Business; Geography; Engineering; Marketing; Civil engineering; Visualization; Data mining; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002329937,0.0004179366,0.0008465371,0.002465256,0.001163104,0.003153209,0.001278979,0.001169715,0.003912232],"category_scores_gemma":[0.004035064,0.0002792692,0.0008984563,0.002563208,0.0009156465,0.002665155,0.001138779,0.0006071441,0.0006248576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002439974,"about_ca_system_score_gemma":0.00167386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02618884,"about_ca_topic_score_gemma":0.01284589,"domain_scores_codex":[0.9971541,0.0005818342,0.0003653028,0.0004336973,0.001239433,0.0002255981],"domain_scores_gemma":[0.9986303,0.0006349029,0.0001373874,0.00009371997,0.0004496315,0.00005411922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009957788,0.0003617647,0.007126395,0.0009494962,0.0002064755,0.002814365,0.002637701,0.5131456,0.02527624,0.1944891,0.01269159,0.2393056],"study_design_scores_gemma":[0.00001945069,0.00005647035,0.00061744,0.00002827458,0.00003789172,0.0001841915,0.0003371,0.9704724,0.003244819,0.01986494,0.005108477,0.00002857314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04998991,0.000647639,0.9371343,0.001135949,0.00005229724,0.0004331426,0.001046512,0.002097964,0.007462203],"genre_scores_gemma":[0.7059967,0.0005102119,0.2868208,0.0003119977,0.00005981769,0.0002606739,0.001228637,0.00005929844,0.004751844],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02618884,"threshold_uncertainty_score":0.05207282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738781159302668,"score_gpt":0.2407280794402943,"score_spread":0.2233402678472677,"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."}}