{"id":"W2002741233","doi":"10.1007/s10287-006-0032-x","title":"Developments in differential game theory and numerical methods: economic and management applications","year":2006,"lang":"en","type":"article","venue":"Computational Management Science","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Differential (mechanical device); Mathematical economics; Class (philosophy); Computer science; Game theory; Differential game; Management science; Mathematical optimization; Economics; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003550445,0.001258017,0.001504272,0.001581316,0.0006752464,0.003482573,0.002154341,0.002446222,0.005081052],"category_scores_gemma":[0.01795201,0.0006842998,0.001316592,0.002379406,0.004087569,0.004229265,0.002295435,0.00495259,0.001027032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694649,"about_ca_system_score_gemma":0.00189411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003517616,"about_ca_topic_score_gemma":0.002067534,"domain_scores_codex":[0.998221,0.0008442823,0.0001225502,0.0002170688,0.0005412746,0.00005375535],"domain_scores_gemma":[0.9876006,0.009731801,0.0005168791,0.0006750446,0.001208546,0.0002673026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001229744,0.00003872723,0.0002938893,0.0001877778,0.00002981812,0.00001968631,0.0000592614,0.04682195,0.000197304,0.9193778,0.002801316,0.03016008],"study_design_scores_gemma":[0.00001564781,0.00001217364,0.0001616222,0.00007939024,0.00001152263,0.00002564728,0.00002420225,0.270975,0.0001520952,0.7132559,0.01527054,0.00001620203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002373537,0.008141813,0.9707346,0.003799463,0.0008411047,0.00003142749,0.00007749975,0.00007670043,0.01392381],"genre_scores_gemma":[0.2004119,0.02736988,0.7524334,0.001889446,0.003439222,0.0003738815,0.0002437819,0.0002191177,0.01361935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005081052,"threshold_uncertainty_score":0.01877677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580036140591173,"score_gpt":0.2623299849482956,"score_spread":0.2465296235423839,"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."}}