{"id":"W1508623181","doi":"10.1002/sdr.434","title":"Ulysse: a qualitative tool for eliciting mental models of complex systems","year":2010,"lang":"en","type":"article","venue":"System Dynamics Review","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canada Research Chairs; École Polytechnique Fédérale de Lausanne; Université Laval","keywords":"Computer science; Context (archaeology); Causal model; Key (lock); Mental model; Causal loop diagram; Management science; Data science; Knowledge management; Process management; System dynamics; Artificial intelligence; Psychology; Engineering; Cognitive science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02263787,0.000333812,0.001855329,0.000296486,0.0002727399,0.000279106,0.001229451,0.0001244622,0.00006377363],"category_scores_gemma":[0.002354823,0.0002373926,0.0006234259,0.0009463412,0.00009563638,0.0003506668,0.0002408893,0.0002022918,0.00008835064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527155,"about_ca_system_score_gemma":0.0001167574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001412964,"about_ca_topic_score_gemma":0.0001328432,"domain_scores_codex":[0.9916606,0.001409866,0.003665633,0.0007651797,0.002081959,0.000416766],"domain_scores_gemma":[0.9907634,0.003892804,0.002140035,0.001366994,0.001691395,0.0001454339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001507243,0.00004426112,0.00006406543,0.007413152,0.00007013356,0.000003355134,0.001481757,0.0004820989,0.0007937931,0.9540492,0.007441099,0.028142],"study_design_scores_gemma":[0.0004798695,0.00006817976,0.00003116033,0.007322033,0.00005578019,0.0001489801,0.009301018,0.9513471,0.000002674619,0.01415382,0.01670137,0.0003880583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01916147,0.03245773,0.9201138,0.0002819002,0.003637181,0.006592546,0.001495037,0.0001552208,0.01610511],"genre_scores_gemma":[0.9922945,0.0001045653,0.006203118,0.00006639362,0.0001445072,0.0002673782,0.0000325419,0.00004016436,0.0008468027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9731331,"threshold_uncertainty_score":0.9680588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2723892717776479,"score_gpt":0.4933035825900227,"score_spread":0.2209143108123748,"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."}}