{"id":"W2737372623","doi":"10.1609/aimag.v31i4.2312","title":"Computational Pool: A New Challenge for Game Theory Pragmatics","year":2010,"lang":"en","type":"article","venue":"AI Magazine","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Tournament; Computer science; Adversarial system; Action (physics); Pragmatics; Work (physics); Game theory; State (computer science); Computational model; Operations research; Artificial intelligence; Management science; Data science; Mathematical economics; Programming language; Engineering; Mathematics; Linguistics","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":[0.01531936,0.0008853513,0.001769926,0.001546788,0.006049704,0.0123427,0.003927285,0.004585692,0.01168796],"category_scores_gemma":[0.02686494,0.0007678077,0.001794312,0.001559943,0.0231783,0.02903511,0.008126576,0.008915685,0.001102524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00430129,"about_ca_system_score_gemma":0.003673156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003293108,"about_ca_topic_score_gemma":0.002757021,"domain_scores_codex":[0.9894893,0.006846386,0.0003503095,0.001305572,0.001390483,0.0006179296],"domain_scores_gemma":[0.9855643,0.01029919,0.0004723006,0.001860882,0.0008413949,0.0009619126],"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":[0.00000698648,0.000003382826,0.00003019235,0.00001385446,0.000002810689,0.00001216449,0.0003162124,0.0002564138,0.00002457956,0.9964328,0.001026529,0.001874162],"study_design_scores_gemma":[0.000007545456,0.000005408141,0.0000239659,0.00001337045,0.000002090535,0.00001616938,0.0002024451,0.00156389,0.00002347592,0.9872591,0.01087794,0.000004752741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02554719,0.004302229,0.6179214,0.1453699,0.001122579,0.000158461,0.0003247627,0.0004958964,0.2047576],"genre_scores_gemma":[0.8073207,0.002102167,0.1617785,0.008467173,0.001684088,0.0006564005,0.0002406812,0.0006726956,0.01707757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01531936,"threshold_uncertainty_score":0.08101749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556085818414389,"score_gpt":0.3041684774500252,"score_spread":0.2786076192658813,"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."}}