{"id":"W4236307997","doi":"10.11647/obp.0211.15","title":"Strategic games","year":2020,"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":"Business","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":[0.0004790357,0.00111668,0.0006390885,0.0005639658,0.0009344228,0.003359631,0.0009086542,0.001422658,0.04577179],"category_scores_gemma":[0.001367003,0.0003463759,0.000560356,0.0009754047,0.001420408,0.00262016,0.001251737,0.001936829,0.01266468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535732,"about_ca_system_score_gemma":0.001021175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689649,"about_ca_topic_score_gemma":0.002776962,"domain_scores_codex":[0.99934,0.0002517929,0.0000338344,0.0001013118,0.0001945345,0.00007849917],"domain_scores_gemma":[0.9996719,0.000154671,0.00002897797,0.00004786739,0.00005354992,0.00004309445],"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":[0.000007100126,0.00001341141,0.00004958188,0.00005973147,0.000008250277,0.00003218944,0.00009879096,0.001472383,0.0001575461,0.94891,0.03494283,0.0142481],"study_design_scores_gemma":[0.00001334903,0.00001763961,0.0001213059,0.00008128069,0.000006633029,0.0001062747,0.00009427161,0.003798715,0.0001076851,0.7025034,0.2931405,0.00000877167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004568527,0.005971259,0.07691258,0.00506547,0.0007021541,0.0001683058,0.001266316,0.0003834635,0.9049619],"genre_scores_gemma":[0.2649128,0.01891436,0.06740833,0.004052032,0.0008447947,0.0006656324,0.003490942,0.0003111371,0.6394001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04577179,"threshold_uncertainty_score":0.1531218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.258278539831579,"score_gpt":0.3844367346129897,"score_spread":0.1261581947814107,"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."}}