{"id":"W4417222975","doi":"10.18280/ijdne.201004","title":"Integration of Geographic Information Systems and Deep Learning for Sustainable Urban Planning","year":2025,"lang":"","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geographic information system; Deep learning; Information system; Urban planning; Field (mathematics); GIS and public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000767473,0.0005386737,0.0005359647,0.001064337,0.0002873569,0.001545669,0.0007622732,0.0007533908,0.002900397],"category_scores_gemma":[0.002939588,0.0003282352,0.0005362475,0.001532127,0.0004065417,0.002725076,0.001531475,0.001376782,0.0004908756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246122,"about_ca_system_score_gemma":0.001135277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648387,"about_ca_topic_score_gemma":0.02798063,"domain_scores_codex":[0.9997222,0.00009165307,0.00001901079,0.00006125636,0.00006880037,0.00003710663],"domain_scores_gemma":[0.9991034,0.0004356761,0.00007205307,0.0001076881,0.0002238189,0.00005743027],"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":[0.00005236957,0.00015878,0.004433852,0.0001009879,0.0001441042,0.00003597404,0.00006264692,0.7146124,0.0007393366,0.01926224,0.005015192,0.2553822],"study_design_scores_gemma":[0.000002362957,0.00001181449,0.0004332344,0.00001350921,0.00001233668,0.000004984669,0.00002021465,0.9809988,0.0003195053,0.01704275,0.001135959,0.000004492425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06905002,0.001741511,0.9119463,0.003567054,0.0002222606,0.00005893921,0.00109754,0.001462298,0.01085416],"genre_scores_gemma":[0.8406946,0.0009253374,0.1536051,0.0003076681,0.0001103166,0.00005419154,0.0009979986,0.00009853913,0.003206199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01648387,"threshold_uncertainty_score":0.03277588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008246951883587948,"score_gpt":0.2710520112469365,"score_spread":0.2628050593633485,"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."}}