{"id":"W4298392820","doi":"","title":"A new design method for managing spatial vagueness in classical relational Spatial OLAP Architectures","year":2014,"lang":"en","type":"other","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Online analytical processing; Computer science; Vagueness; Relational database; Data mining; Database; Data warehouse; Artificial intelligence; Fuzzy logic","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004544508,0.0003241855,0.000473221,0.0003791271,0.00005326228,0.0000395684,0.000466827,0.0002237405,0.0002229448],"category_scores_gemma":[0.00008860622,0.0002690808,0.0001046128,0.00016704,0.00002940734,0.00008531899,0.000218577,0.0002300179,0.00003220028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004472815,"about_ca_system_score_gemma":0.000209129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004130431,"about_ca_topic_score_gemma":0.006282668,"domain_scores_codex":[0.9980038,0.0002453141,0.0003523729,0.0007248149,0.0003197475,0.0003538991],"domain_scores_gemma":[0.9985471,0.0005230386,0.0002183306,0.0005702694,0.00002339414,0.0001178364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004429303,0.00001914276,0.00001676112,0.0001091528,0.00003710647,0.00001119553,0.0001203923,0.004590253,0.00003493626,0.5286722,0.0678555,0.398489],"study_design_scores_gemma":[0.0009368938,0.00008602217,0.0001478173,0.0002890068,0.00001208529,0.00001744512,0.000004879721,0.307879,0.0001515848,0.01558227,0.6743408,0.0005522531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[7.293905e-8,0.0001548503,0.9726395,0.000363869,0.0007187644,0.0007007223,0.00002588965,0.0002445097,0.0251518],"genre_scores_gemma":[0.00003246572,0.00000284538,0.8832508,0.0001494746,0.001044181,0.00008115591,0.00004675025,0.0001257316,0.1152666],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6064852,"threshold_uncertainty_score":0.9999762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609414278199525,"score_gpt":0.2906775184435557,"score_spread":0.2645833756615604,"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."}}