{"id":"W4415095202","doi":"10.58110/wp-8d85","title":"Evaluation of Development Policies of a Tourist Territory Confronted with Intensive Urban Development using a Multi-Agent Modeling","year":2025,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Zoning; Tourism; Baseline (sea); Competition (biology); Urban economics; Urban planning; Land use; Vitality","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":[0.0013391,0.0006380569,0.0006984167,0.0005472808,0.0005086212,0.001916685,0.000953123,0.001542034,0.002481723],"category_scores_gemma":[0.002929342,0.0004025274,0.0008183955,0.0004559517,0.0007230833,0.0007911304,0.001064137,0.0008318821,0.0001146022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003203338,"about_ca_system_score_gemma":0.002401991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05469069,"about_ca_topic_score_gemma":0.03141842,"domain_scores_codex":[0.9994454,0.0003409863,0.00001382728,0.00005746977,0.00003433215,0.0001079858],"domain_scores_gemma":[0.9981791,0.001144747,0.0002809103,0.00007091377,0.0001149014,0.0002094194],"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":[0.00003600066,0.00003008923,0.001624232,0.00001065914,0.00002280111,0.0000417478,0.0000118291,0.9963109,0.0001179131,0.001232019,0.0000742433,0.0004876306],"study_design_scores_gemma":[0.00001907206,0.00007100086,0.0008344448,0.000005320049,0.00001671444,0.000004669123,0.00007484631,0.9981476,0.00008053282,0.0005128388,0.0002282763,0.000004622324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608437,0.0001963211,0.02244263,0.0007850176,0.00003202425,0.0001929518,0.0005127537,0.0001133782,0.01488116],"genre_scores_gemma":[0.9953579,0.00007416055,0.003225644,0.00003652875,0.00000509899,0.00006650448,0.00008528666,0.000008852248,0.001139984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05469069,"threshold_uncertainty_score":0.1087447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06095264116204579,"score_gpt":0.3049426551023385,"score_spread":0.2439900139402927,"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."}}