{"id":"W4399833126","doi":"10.1007/978-3-031-54071-4","title":"Stochastic Teams, Games, and Control under Information Constraints","year":2024,"lang":"en","type":"book","venue":"Systems & control","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Queen's University","keywords":"Control (management); Computer science; Operations research; Mathematical economics; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003411279,0.0004437389,0.001023285,0.0005034333,0.0001915089,0.001202019,0.0006431039,0.0004670948,0.0003756567],"category_scores_gemma":[0.0007226791,0.0003317528,0.0002062527,0.0001923959,0.0005413358,0.0004365748,0.0000701778,0.0005717226,0.006508038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781537,"about_ca_system_score_gemma":0.0007496538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002049083,"about_ca_topic_score_gemma":0.000009209345,"domain_scores_codex":[0.9960732,0.0002340154,0.001518156,0.0005954896,0.001199348,0.0003797918],"domain_scores_gemma":[0.9947963,0.002807819,0.0007770886,0.0008660143,0.0004951205,0.0002576658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008185203,0.00001984145,0.000006820472,0.0001839726,0.0003912627,0.000008298057,0.0004483706,0.00171249,0.00005872271,0.8184739,0.1535893,0.02502519],"study_design_scores_gemma":[0.003299241,0.00009549189,0.00009452238,0.0007309887,0.0004762718,0.0001805283,0.001448269,0.01142618,5.496049e-7,0.2976762,0.6838222,0.0007495584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00008926103,0.006972361,0.5451999,0.001540402,0.002664249,0.004465167,0.003159542,0.0003454323,0.4355637],"genre_scores_gemma":[0.7412685,0.000006167868,0.000005535725,0.0005002568,0.0003913467,0.0002605588,0.00004836842,0.00002698718,0.2574923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7411792,"threshold_uncertainty_score":0.9999135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404878474408436,"score_gpt":0.3022325203131931,"score_spread":0.2781837355691087,"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."}}