{"id":"W3090385357","doi":"10.1007/978-3-030-19107-8","title":"Games in Management Science","year":2019,"lang":"en","type":"book","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University; HEC Montréal","funders":"","keywords":"Game theory; Control (management); Computer science; Management science; Supply management; Operations research; Business; Engineering; Economics; Mathematical economics; Physics; Artificial intelligence","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":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["bibliometrics","sts","scholarly_communication","open_science","insufficient_payload"],"category_scores_codex":[0.0294141,0.0009664365,0.0007307708,0.03876597,0.00393363,0.01301923,0.01406514,0.0002879278,0.002463045],"category_scores_gemma":[0.001375499,0.001019577,0.0001574943,0.02754326,0.01391038,0.03050808,0.01153849,0.002466451,0.001995411],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009519887,"about_ca_system_score_gemma":0.001733934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905604,"about_ca_topic_score_gemma":0.007709547,"domain_scores_codex":[0.97457,0.0001905856,0.002405508,0.004215084,0.01542009,0.003198722],"domain_scores_gemma":[0.9914592,0.0001448112,0.0002430131,0.00234053,0.005642226,0.0001702483],"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":[0.0002397494,0.0006225181,0.001344924,0.0004088473,0.00007471431,0.0003622167,0.0003049795,0.08123786,0.0004402408,0.9066108,0.004618111,0.003735055],"study_design_scores_gemma":[0.004674281,0.0002217097,0.07679506,0.004643232,0.00005228579,0.00004718592,0.01543575,0.1528396,0.000401409,0.07381011,0.6677953,0.003284046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01267521,0.0000783536,0.0003705927,0.01528296,0.005360988,0.005661712,0.00005665405,0.0001659671,0.9603475],"genre_scores_gemma":[0.3995679,0.003150415,0.006382063,0.0007259062,0.0009363048,0.002761794,0.0006803012,0.0001454444,0.5856498],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8328007,"threshold_uncertainty_score":0.9998349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06087937649065487,"score_gpt":0.3853792412081264,"score_spread":0.3244998647174715,"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."}}