{"id":"W4392893971","doi":"10.1142/s0219198924400097","title":"Dynamic Oligopolistic Competition with Uncertainty and Supply Disruption Effects","year":2024,"lang":"en","type":"article","venue":"International Game Theory Review","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Russian Science Foundation","keywords":"Oligopoly; Competition (biology); Constraint (computer-aided design); Economics; Microeconomics; Sequential game; Mathematical economics; Mathematical optimization; Computer science; Game theory; Mathematics; Cournot competition","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":[0.0004523864,0.0001570498,0.0001670892,0.0001594754,0.00004083424,0.0002674741,0.0001588349,0.00002116154,0.0007072235],"category_scores_gemma":[0.00006662873,0.000116907,0.00005938756,0.0001780957,0.00008078807,0.0005161434,0.00008919764,0.0000929591,0.0004719087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007529581,"about_ca_system_score_gemma":0.000008217478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002521289,"about_ca_topic_score_gemma":0.00001102569,"domain_scores_codex":[0.9991534,0.00002958135,0.0001873662,0.0002592492,0.000237493,0.0001329299],"domain_scores_gemma":[0.9996308,0.00009465917,0.00006796886,0.0001276189,0.00006635759,0.00001256885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003051284,0.0000305576,0.0001707584,0.006303485,0.00009568191,0.00003968399,0.0000177046,0.00003487183,0.00001723532,0.9362888,0.001692889,0.05527776],"study_design_scores_gemma":[0.0004023053,0.0000322768,0.002733978,0.01573233,0.0003437599,0.00003283313,0.00005242106,0.02215038,0.00000235112,0.08404174,0.8741259,0.0003497072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1152586,0.309519,0.04912677,0.04757874,0.01211386,0.007045191,0.0001027831,0.002585353,0.4566698],"genre_scores_gemma":[0.9832497,0.008432098,0.00004274647,0.005725353,0.0003904635,0.0000990028,0.0002247853,0.0000269609,0.00180895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.872433,"threshold_uncertainty_score":0.7743602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008147705751984377,"score_gpt":0.2520423793876112,"score_spread":0.2438946736356268,"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."}}