{"id":"W2080876810","doi":"10.1016/j.jet.2012.11.002","title":"Large games with a bio-social typology","year":2013,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematical economics; Context (archaeology); Interval (graph theory); Matching (statistics); Space (punctuation); Mathematics; Type (biology); Typology; Strategy; Nash equilibrium; Sequence (biology); Game theory; Computer science; Combinatorics; Statistics; Sociology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002972503,0.00007667849,0.0002572774,0.0001657907,0.0001103546,0.00009523402,0.0005472538,0.00005095051,0.00742982],"category_scores_gemma":[0.0001991675,0.0000468032,0.0001097876,0.00008241244,0.0001454082,0.0003313363,0.00004552427,0.0001455231,0.002232001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000333152,"about_ca_system_score_gemma":0.00008758713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001558317,"about_ca_topic_score_gemma":0.000005948864,"domain_scores_codex":[0.9988441,0.0002416223,0.0005146514,0.0001249319,0.0001112852,0.000163386],"domain_scores_gemma":[0.9980614,0.000928288,0.0006054564,0.0002005412,0.0001236253,0.0000807265],"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":[0.00008949461,0.00005121555,0.001795139,5.960226e-7,0.00004591814,0.000002555273,0.0009276165,0.00002596995,0.0003424675,0.9734558,0.01420966,0.009053583],"study_design_scores_gemma":[0.0004506088,0.00009207367,0.009850551,0.000003185155,0.00001397927,0.000109156,0.005382117,0.00002025876,0.0002332468,0.9511703,0.03259972,0.00007476604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751704,0.00006428976,0.002720726,0.002311155,0.0001882983,0.00006802766,0.000006962116,0.000006178846,0.01946401],"genre_scores_gemma":[0.9964155,0.000004630076,0.000262235,0.0003931481,0.0003023074,0.00000416771,2.210575e-7,0.000006937776,0.002610876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02228545,"threshold_uncertainty_score":0.9985449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301628117727971,"score_gpt":0.3437014484242256,"score_spread":0.3006851672469458,"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."}}