{"id":"W1987394179","doi":"10.1016/s0198-9715(03)00063-2","title":"PADI-Simul: an agent-based geosimulation software supporting the design of geographic spaces","year":2003,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Sketch; Apprehension; Space (punctuation); Function (biology); Hierarchy; Software; Human–computer interaction","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":[0.0003211913,0.0001299358,0.0001438109,0.00005778596,0.00008079853,0.00005478058,0.00008247443,0.00005287913,0.00001095994],"category_scores_gemma":[0.000005840604,0.0001064729,0.00003588989,0.00005153655,0.00004806278,0.00007835056,0.000008851148,0.00005703512,0.000003060747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002487972,"about_ca_system_score_gemma":0.0000053811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005838675,"about_ca_topic_score_gemma":5.354136e-7,"domain_scores_codex":[0.9991935,0.0001122385,0.0002518572,0.0001393292,0.0001514342,0.0001516237],"domain_scores_gemma":[0.999541,0.0001032194,0.00008426948,0.0002059012,0.000006668389,0.00005888933],"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":[0.000002101826,0.00001407634,0.07430801,0.00005020815,0.00002153037,7.104966e-7,0.0002171957,0.9243423,0.0002277435,0.0002041299,0.00008458854,0.0005274564],"study_design_scores_gemma":[0.000282265,0.00004542665,0.009185445,0.00002586308,0.00002123555,0.000001513911,0.0001270491,0.9882806,0.00007847857,0.00001688214,0.00180603,0.0001291883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2762528,0.0005681443,0.7226034,0.000008001941,0.000188026,0.0002749827,0.00000295,0.00007357881,0.00002813062],"genre_scores_gemma":[0.9974774,0.00003496378,0.002361632,0.00001946145,0.00002660844,0.00001179915,0.00001681043,0.0000201002,0.00003122952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7212246,"threshold_uncertainty_score":0.4341841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143298160477893,"score_gpt":0.1932076289656058,"score_spread":0.1788778129178165,"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."}}