{"id":"W7086945015","doi":"10.1109/tac.2025.3619704","title":"Robust Dynamic Games Played Over Event Trees","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Event (particle physics); Tree (set theory); Event tree; Game tree; Probability distribution; State (computer science); Control (management); Sequential game","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001428082,0.0001697184,0.0001987822,0.0001093395,0.00009563257,0.00002581912,0.0002531261,0.0001953857,0.0004265146],"category_scores_gemma":[0.00003283647,0.0001438989,0.0001795051,0.0001789201,0.0001420662,0.000003068482,0.000003292675,0.0001671854,0.00001722225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007114488,"about_ca_system_score_gemma":0.00009882171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001290693,"about_ca_topic_score_gemma":0.00003818888,"domain_scores_codex":[0.9988301,0.00005413479,0.0002624638,0.0003208456,0.0002367317,0.000295688],"domain_scores_gemma":[0.999365,0.00007932732,0.00003724968,0.0003820741,0.00003993528,0.00009640417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002352464,0.0004993901,0.00002035888,0.00005819586,0.0002872416,0.000004600255,0.00001131954,0.0005113793,0.9008804,0.00004126028,0.005840641,0.09160994],"study_design_scores_gemma":[0.003262672,0.0005624127,0.001272355,0.0001740048,0.0001254806,0.000008113236,0.00002970762,0.1379792,0.8441605,0.0006287504,0.01142233,0.0003744538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1376025,0.0001728084,0.8595133,0.0007946374,0.0002102559,0.0003544748,0.00004279401,0.0001209185,0.001188292],"genre_scores_gemma":[0.9931989,0.000114005,0.0008994238,0.0006783802,0.00002439161,0.0002142814,0.00001015818,0.00001494843,0.004845463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8586138,"threshold_uncertainty_score":0.5868028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006781610799976861,"score_gpt":0.2959004099828542,"score_spread":0.2891187991828774,"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."}}