{"id":"W2111733430","doi":"10.2139/ssrn.556917","title":"Sequential Estimation of Dynamic Discrete Games","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":237,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sequential game; Estimation; Computer science; Discrete choice; Mathematical economics; Mathematical optimization; Mathematics; Economics; Game theory; Machine learning","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":[0.003646947,0.00008596683,0.0001562108,0.0001602109,0.0001615922,0.00008332482,0.0004705037,0.00004149038,0.0001253714],"category_scores_gemma":[0.0002056669,0.00006302898,0.0001269096,0.0003791515,0.0001048454,0.0002511809,0.00003125404,0.0004901326,0.0001123233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799192,"about_ca_system_score_gemma":0.0005605267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003224742,"about_ca_topic_score_gemma":0.0002741105,"domain_scores_codex":[0.997843,0.0001400682,0.0005260389,0.0001700018,0.0005732906,0.0007476248],"domain_scores_gemma":[0.999029,0.0001903279,0.0003653039,0.0002530729,0.0001270004,0.00003527979],"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":[0.00002904831,0.0000438776,0.0002728585,9.626394e-7,0.00001976243,5.346433e-7,0.00005435343,0.005097254,0.004604274,0.8997349,0.0001299987,0.09001216],"study_design_scores_gemma":[0.0002010958,0.00006451463,0.001940279,0.000004741987,0.00001590669,0.0001210902,0.000442743,0.006986203,0.0006738764,0.9890507,0.0004298131,0.00006900173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6530371,0.0003714639,0.3435562,0.0006917012,0.0000722552,0.00006625387,0.000005128985,0.00001414029,0.002185733],"genre_scores_gemma":[0.9951245,0.0000648994,0.0005429193,0.0000117776,0.00007114028,0.0000031768,0.000004603354,0.00000733646,0.004169715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3430133,"threshold_uncertainty_score":0.2570247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736744490295732,"score_gpt":0.3451045171239644,"score_spread":0.3277370722210071,"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."}}