{"id":"W2017302592","doi":"10.1257/mic.3.3.1","title":"Testing Game Theory in the Field: Swedish LUPI Lottery Games","year":2011,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Lottery; Mathematical economics; Mathematics; Field (mathematics); Example of a game without a value; Hierarchy; Poisson distribution; Convergence (economics); Test (biology); Repeated game; Population; Game theory; Combinatorial game theory; Statistics; Economics; Pure mathematics","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":[0.001991767,0.0002522471,0.0004530248,0.0001954766,0.0004677903,0.0002623726,0.001036854,0.00005955077,0.0003642188],"category_scores_gemma":[0.0001832845,0.00023718,0.0001784901,0.0001114902,0.001034499,0.0005940346,0.0001321987,0.0005044721,0.0003171701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008760923,"about_ca_system_score_gemma":0.000318477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007012486,"about_ca_topic_score_gemma":0.003606923,"domain_scores_codex":[0.9977778,0.0003569658,0.0007521776,0.0003587031,0.00005333217,0.0007010605],"domain_scores_gemma":[0.9978767,0.0009678357,0.0006619864,0.0003091824,0.0000288275,0.0001554837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002376122,0.0003362765,0.6608964,0.000006742549,0.0002139981,0.0001102829,0.1297595,0.00006343533,0.0003865129,0.0356765,0.009705981,0.1626068],"study_design_scores_gemma":[0.00252967,0.001380102,0.1898224,0.0001215453,0.0001806699,0.0007533575,0.604202,0.00009749531,0.002039507,0.0764798,0.1196976,0.002695891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187557,0.0003021936,0.00002382701,0.001590222,0.0008070957,0.0002280734,0.00000969567,0.00003180476,0.0782514],"genre_scores_gemma":[0.991993,0.0006359101,0.001594273,0.00500499,0.0005476357,0.00002846524,0.000001094472,0.00003497375,0.0001596622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4744425,"threshold_uncertainty_score":0.9995999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04065000272379824,"score_gpt":0.3160140583249375,"score_spread":0.2753640556011392,"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."}}