{"id":"W2602817165","doi":"10.1287/moor.2016.0839","title":"Dynamical Analysis of a Repeated Game with Incomplete Information","year":2017,"lang":"en","type":"article","venue":"Mathematics of Operations Research","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Parameterized complexity; Mathematics; Range (aeronautics); Complete information; Repeated game; State (computer science); Markov chain; Sequential game; Game theory; Mathematical economics; Bayesian game; Discrete mathematics; Combinatorics; Algorithm; Statistics","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":[0.0003884061,0.0000698385,0.0002624675,0.0002466388,0.0002366132,0.00009693687,0.0002977069,0.0000232206,0.000219152],"category_scores_gemma":[0.0001474323,0.00005379549,0.00005633661,0.0003070045,0.0001780134,0.0002475256,0.0001084598,0.0001334991,0.000006311053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001650156,"about_ca_system_score_gemma":0.00005739269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003012487,"about_ca_topic_score_gemma":0.00009117321,"domain_scores_codex":[0.999016,0.00003262078,0.0003479984,0.00008753978,0.0003691545,0.0001466389],"domain_scores_gemma":[0.9984161,0.0001271663,0.0001121379,0.0006054427,0.0006913744,0.00004780233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001416718,0.0001471646,0.0004114468,0.00003516396,0.0003711291,2.976749e-7,0.0005662254,0.01277704,0.001324903,0.9821677,0.000002454386,0.002182265],"study_design_scores_gemma":[0.0002113456,0.00007883768,0.001297646,0.00003038922,0.00009097172,1.538804e-7,0.0004156021,0.9683158,0.0004963682,0.02898677,0.000013901,0.00006217667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3699335,9.548856e-7,0.6249645,0.00004985556,0.000005650906,0.000173558,0.0002846012,0.000003337695,0.004583972],"genre_scores_gemma":[0.9558156,0.000001071824,0.04393329,0.000001089761,0.000005742739,0.00002349969,0.000129216,0.000006066025,0.00008439145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9555388,"threshold_uncertainty_score":0.2399561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585450467792909,"score_gpt":0.3911853160385145,"score_spread":0.3453308113605854,"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."}}