{"id":"W4285428293","doi":"10.48550/arxiv.2207.05435","title":"Quantum Extensive Form Games","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Office of Science; U.S. Department of Energy","keywords":"Quantum pseudo-telepathy; Computer science; Combinatorial game theory; Quantum; Quantum algorithm; Quantum computer; Theoretical computer science; Mathematics; Mathematical economics; Quantum network; Sequential game; Game theory; Quantum mechanics; Physics","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":[0.001963131,0.0007072692,0.0009832536,0.0007558981,0.001021524,0.002911072,0.001791757,0.001775484,0.008369354],"category_scores_gemma":[0.005991537,0.0003785931,0.0008971303,0.0009349202,0.003567165,0.004839217,0.002262229,0.002423339,0.0007233701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818593,"about_ca_system_score_gemma":0.001567075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834639,"about_ca_topic_score_gemma":0.001513356,"domain_scores_codex":[0.9979887,0.0007900452,0.00009908644,0.0003590724,0.0005409996,0.0002221808],"domain_scores_gemma":[0.997537,0.001338478,0.000268091,0.0002956782,0.000310935,0.0002498645],"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":[0.000007777458,0.0000146137,0.00009233251,0.00001986663,0.000008256179,0.00003111175,0.00003821367,0.01104984,0.0001302803,0.9847136,0.0009871651,0.002906982],"study_design_scores_gemma":[0.00001611227,0.00001570475,0.00006563047,0.00001531194,0.000006267089,0.00003696548,0.00002261963,0.07693013,0.0001289702,0.9160753,0.006675447,0.00001155792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02735895,0.001233891,0.8810604,0.004826403,0.0003378006,0.0002533997,0.0005405135,0.000135,0.08425373],"genre_scores_gemma":[0.8063941,0.002155888,0.1565886,0.001763319,0.0005008941,0.0006995737,0.0004310152,0.0000695535,0.031397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008369354,"threshold_uncertainty_score":0.02799827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2372376979399534,"score_gpt":0.2827379152950832,"score_spread":0.04550021735512977,"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."}}