{"id":"W1495160560","doi":"10.1007/978-3-540-30466-1_3","title":"Modeling Geospatial Databases with Plug-Ins for Visual Languages: A Pragmatic Approach and the Impacts of 16 Years of Research and Experimentations on Perceptory","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Geospatial analysis; Rotation formalisms in three dimensions; Computer science; Unified Modeling Language; Database; Geospatial PDF; Plug-in; Data science; Software engineering; Programming language; Geography; Software; Cartography","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":[0.00759701,0.0009966063,0.0009047799,0.0009677274,0.001177852,0.01220975,0.0041397,0.001951058,0.003786994],"category_scores_gemma":[0.01439127,0.001747827,0.002107287,0.001354227,0.003585868,0.01536785,0.004801561,0.003228537,0.0008725105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505338,"about_ca_system_score_gemma":0.001994159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006152718,"about_ca_topic_score_gemma":0.009814621,"domain_scores_codex":[0.9969584,0.001359944,0.0002818618,0.000407963,0.000783947,0.0002079522],"domain_scores_gemma":[0.992951,0.004095934,0.0003266948,0.00178162,0.0005668081,0.0002779326],"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":[0.0004983956,0.0002611809,0.003604061,0.0007211056,0.0002055388,0.0004562779,0.00414928,0.08099058,0.009270056,0.8034139,0.007527074,0.08890264],"study_design_scores_gemma":[0.0001325587,0.0001467152,0.0005385756,0.0003527103,0.000238346,0.0004286434,0.001694925,0.4732576,0.01956841,0.4166552,0.08685169,0.0001347084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01350976,0.0001778033,0.9760674,0.001005731,0.00004837932,0.0001011424,0.0002729117,0.004415747,0.004401254],"genre_scores_gemma":[0.1807245,0.0005340533,0.8105686,0.0003878329,0.00004602844,0.0001822027,0.0005746199,0.001974018,0.00500814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01220975,"threshold_uncertainty_score":0.04017735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04313467398315612,"score_gpt":0.3443264711299999,"score_spread":0.3011917971468438,"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."}}