{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006169869,0.001415714,0.003417732,0.001206271,0.0005332314,0.002005996,0.002266165,0.001773353,0.003813512],"category_scores_gemma":[0.0306385,0.001828021,0.0009051221,0.001171036,0.001630723,0.003214114,0.002066368,0.002354689,0.0003394438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927626,"about_ca_system_score_gemma":0.002474329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0115663,"about_ca_topic_score_gemma":0.008380259,"domain_scores_codex":[0.9960835,0.002027914,0.0001938532,0.0008246507,0.0004604503,0.0004095615],"domain_scores_gemma":[0.9585359,0.03737821,0.001686603,0.0009163419,0.0009000275,0.0005828133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006302485,0.0001943671,0.002652436,0.0001900361,0.0001951136,0.0001157579,0.0001319878,0.8975652,0.001102017,0.06715469,0.0009780918,0.02908997],"study_design_scores_gemma":[0.00004407404,0.00003721253,0.000274369,0.000007085742,0.00001431612,0.00001031127,0.00001130326,0.9705817,0.0002889444,0.02853807,0.000183737,0.000008947774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06978366,0.0002387199,0.9263891,0.0006350686,0.00005913089,0.0001142164,0.0001651117,0.0001812573,0.002433764],"genre_scores_gemma":[0.9234766,0.0003341793,0.07056453,0.0001231491,0.0001102577,0.0001979422,0.0003728051,0.00004424942,0.004776329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0115663,"threshold_uncertainty_score":0.03262979,"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."}}