{"id":"W4382245167","doi":"10.11647/obp.0361.16","title":"Extensive games","year":2023,"lang":"en","type":"book-chapter","venue":"Open Book Publishers","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Outcome (game theory); Business; Competitor analysis; Market economy; Economics; Microeconomics; Industrial organization; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003010548,0.0003885434,0.0007061174,0.0004379268,0.0002970726,0.007398902,0.005508955,0.0003809314,0.02927366],"category_scores_gemma":[0.001637965,0.0003123899,0.0002999266,0.0002576249,0.0003841481,0.003159252,0.001776149,0.0005427439,0.03952482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006786338,"about_ca_system_score_gemma":0.0003702765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003037879,"about_ca_topic_score_gemma":0.00004915713,"domain_scores_codex":[0.9960338,0.00007666475,0.0008399474,0.001251852,0.001428479,0.0003692953],"domain_scores_gemma":[0.9945112,0.001486913,0.0006293383,0.002258846,0.0008222736,0.0002914018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008508996,0.000004408686,0.000001003461,0.000001017558,0.00002705145,0.00001265502,0.00006866105,0.000005285271,0.000002864006,0.4081672,0.5739937,0.01770763],"study_design_scores_gemma":[0.00009547973,0.00001532647,0.00001970405,0.00002807082,0.00001743626,0.000004263642,0.0001971996,0.000003859617,0.000005236619,0.4379664,0.5614328,0.0002141187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005066815,0.0001888464,0.0001009326,0.006577588,0.0007038743,0.0008970215,0.0001053697,0.0001381633,0.9912831],"genre_scores_gemma":[0.0001462564,0.00004385824,0.0001882238,0.003262008,0.0002137132,0.0001050382,0.00007683643,0.00009996536,0.9958641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02979921,"threshold_uncertainty_score":0.9999328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1996440644643415,"score_gpt":0.3939206636105855,"score_spread":0.194276599146244,"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."}}