{"id":"W2199233512","doi":"10.1007/978-1-4020-8952-7_11","title":"Agent-Based Modelling: A Dynamic Scenario Planning Approach to Tourism PSS","year":2009,"lang":"en","type":"book-chapter","venue":"The Geojournal library","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Tourism; Computer science; Scenario planning; Environmental planning; Business; Geography; Marketing; Archaeology","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":[0.0007417052,0.0009946395,0.0007900109,0.0008468085,0.0006429676,0.002574037,0.002521033,0.001547911,0.007357418],"category_scores_gemma":[0.002287939,0.0009173441,0.001187403,0.001409752,0.0008233516,0.002283233,0.001346034,0.001356419,0.001028828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489794,"about_ca_system_score_gemma":0.001560777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031403,"about_ca_topic_score_gemma":0.02333518,"domain_scores_codex":[0.9995622,0.0002321057,0.00002678659,0.00005581932,0.00009702899,0.00002611121],"domain_scores_gemma":[0.9993925,0.0004288455,0.00003734296,0.00003871816,0.00006719463,0.00003539322],"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":[0.00002229134,0.00003259178,0.0001475321,0.00009201384,0.00004706573,0.0001145128,0.0001162227,0.9117824,0.0002455968,0.07031436,0.002546792,0.01453861],"study_design_scores_gemma":[0.000008309366,0.000006597818,0.0000419742,0.00002115785,0.0000142344,0.000024844,0.00003224593,0.9531395,0.0001423755,0.04045251,0.006106317,0.000009939263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005975285,0.0007550739,0.9653547,0.0007936497,0.0001281847,0.0001123155,0.0004973474,0.0005446547,0.02583869],"genre_scores_gemma":[0.3692748,0.003074293,0.6017936,0.0002882192,0.000107112,0.0006662057,0.001036595,0.0003377552,0.02342147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02031403,"threshold_uncertainty_score":0.04039156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401306876470839,"score_gpt":0.2100842834457752,"score_spread":0.1860712146810669,"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."}}