{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01382326,0.0008094469,0.0004827828,0.002980642,0.001241906,0.001835312,0.001228155,0.0005183959,0.01186267],"category_scores_gemma":[0.03033543,0.0004368709,0.0004505738,0.002427976,0.0016672,0.002340217,0.003010971,0.0008376301,0.0007607695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026473,"about_ca_system_score_gemma":0.004599126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667916,"about_ca_topic_score_gemma":0.0086506,"domain_scores_codex":[0.9928228,0.005560444,0.0003401489,0.0002479176,0.0008694842,0.0001592436],"domain_scores_gemma":[0.9583492,0.03568214,0.001338968,0.001577364,0.002688255,0.0003640547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005512695,0.0003932767,0.008533717,0.006605132,0.0001219367,0.001135607,0.2222861,0.02661542,0.02935467,0.2337692,0.04994177,0.4206919],"study_design_scores_gemma":[0.0005607608,0.0006866805,0.01542957,0.004203701,0.0001151637,0.000752284,0.1442432,0.1119595,0.03348112,0.2093179,0.4788547,0.0003954063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1074008,0.0003984014,0.849575,0.001535599,0.0001095804,0.005872136,0.007930048,0.001538105,0.02564035],"genre_scores_gemma":[0.2656893,0.0004907892,0.7098153,0.0002598591,0.00001633858,0.01403339,0.002310537,0.0001880451,0.007196601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01382326,"threshold_uncertainty_score":0.07310522,"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."}}