{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001127173,0.0004337438,0.0003527221,0.0004078862,0.0001932577,0.0001648183,0.0004672067,0.0003086996,0.000210631],"category_scores_gemma":[8.170914e-7,0.0003800676,0.0002383758,0.0001461989,0.00003846616,0.0002713753,0.00001644664,0.001211673,0.00008519751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006642163,"about_ca_system_score_gemma":0.0001259847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002210055,"about_ca_topic_score_gemma":0.000002707434,"domain_scores_codex":[0.9983663,0.00001286109,0.000630388,0.0002946197,0.0003492794,0.00034656],"domain_scores_gemma":[0.999157,0.00003837079,0.0001167561,0.0004412023,0.00003637849,0.0002103044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002768726,0.00003280231,0.00001095625,0.00006191096,0.0001048166,0.00005253471,0.0003190013,0.9778416,0.0000144611,0.007589149,0.01000058,0.003944472],"study_design_scores_gemma":[0.0004559899,0.00005462669,0.0002909406,0.0003982785,0.0001158492,0.00004083168,0.00004393389,0.4339376,0.00001392181,0.006180518,0.5577077,0.0007598642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007429934,0.001217731,0.3752939,0.0009574505,0.0005514396,0.0007070415,0.0002196232,0.0009673078,0.6193425],"genre_scores_gemma":[0.3765675,0.0002216834,0.04243258,0.006527604,0.001232434,0.00009023117,0.002491876,0.0007460336,0.5696901],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5477071,"threshold_uncertainty_score":0.9998651,"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."}}