{"id":"W4388743848","doi":"10.54254/2753-8818/11/20230409","title":"The colonel blotto game based on probability and statistics","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Competitor analysis; Competition (biology); Strategy; Mathematical economics; Game theory; Mathematics; Economics; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002187496,0.0009800213,0.0009318086,0.001056794,0.0007861295,0.002772144,0.001438723,0.001111974,0.01253198],"category_scores_gemma":[0.01078865,0.0003770718,0.0007774123,0.001131065,0.002975838,0.004126895,0.001565328,0.002749306,0.0008824171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002798617,"about_ca_system_score_gemma":0.002159805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01138918,"about_ca_topic_score_gemma":0.00905615,"domain_scores_codex":[0.9977438,0.001184019,0.00006950429,0.0003709366,0.000418752,0.0002129874],"domain_scores_gemma":[0.9957766,0.003109648,0.0003816425,0.0001946062,0.0003092626,0.0002283101],"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":[0.00006605677,0.00005511628,0.00199426,0.00005489344,0.00002891578,0.0001470858,0.0001226616,0.07073513,0.0004086914,0.9101884,0.005024752,0.01117394],"study_design_scores_gemma":[0.0000380505,0.0001066636,0.001522209,0.00005094537,0.00001879468,0.0001309949,0.0001087778,0.4609769,0.0003108862,0.5268241,0.009858577,0.00005319274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05439989,0.0005400516,0.8537966,0.003096547,0.0001841359,0.0003088425,0.0009711031,0.0003012172,0.08640156],"genre_scores_gemma":[0.8756562,0.0008610536,0.08378568,0.0004454627,0.0001478735,0.0006069806,0.0006193036,0.0001063291,0.03777093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01253198,"threshold_uncertainty_score":0.04192358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125189513364912,"score_gpt":0.2255152683933577,"score_spread":0.2129963170568665,"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."}}