{"id":"W4399846668","doi":"10.1016/j.compenvurbsys.2024.102142","title":"Parameterizing agent-based models using an online game","year":2024,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00007747584,0.0001525143,0.000144484,0.00007981707,0.00003420861,0.0001746651,0.00007249836,0.00005825387,0.00000557594],"category_scores_gemma":[3.412743e-7,0.0001534649,0.00003799904,0.00004661965,0.0000257374,0.0001776707,0.00002052779,0.00008544433,0.000007528093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000099303,"about_ca_system_score_gemma":0.000005407606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005368005,"about_ca_topic_score_gemma":3.936633e-7,"domain_scores_codex":[0.9992861,0.00002754458,0.0001950902,0.0002050416,0.0001247151,0.0001615294],"domain_scores_gemma":[0.9996955,0.00002400325,0.00001555459,0.0001665377,0.000002211356,0.0000961696],"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":[0.00000119769,0.00001723801,0.0001500553,0.0001370821,0.0000281196,0.00001158232,0.0002512854,0.9956018,0.001603719,0.0002139763,0.0001523556,0.001831562],"study_design_scores_gemma":[0.0001300303,0.00002652542,0.00009518659,0.0001162335,0.00002085173,0.00000808427,0.00005613324,0.9957009,0.00002382381,0.00002253974,0.003619362,0.0001803275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4310096,0.002217724,0.5658862,0.000007807188,0.0005210641,0.0001020475,0.00001720862,0.0002086515,0.00002966167],"genre_scores_gemma":[0.996242,0.00006726588,0.003331382,0.00003305932,0.0001531506,0.000005756042,0.00006853492,0.00003922122,0.00005964591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5652324,"threshold_uncertainty_score":0.6258116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05418510597577276,"score_gpt":0.2188992638251197,"score_spread":0.1647141578493469,"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."}}