{"id":"W3094200045","doi":"","title":"Clique games: a family of games with coincidence between the nucleolus and the Shapley value","year":2017,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Shapley value; Clique; Combinatorics; Mathematics; Coincidence; Intersection (aeronautics); Tree (set theory); Value (mathematics); Mathematical economics; Discrete mathematics; Game theory; Geography; Statistics","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":[0.001978432,0.0008619715,0.001153914,0.001396628,0.001329481,0.002900153,0.001487839,0.001394665,0.006622293],"category_scores_gemma":[0.007517248,0.0004774363,0.001387342,0.001525443,0.003129922,0.005894474,0.002012911,0.002603329,0.0006173328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769792,"about_ca_system_score_gemma":0.001333527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632093,"about_ca_topic_score_gemma":0.001283483,"domain_scores_codex":[0.9972301,0.001275095,0.000114221,0.0005280586,0.0005970395,0.0002555254],"domain_scores_gemma":[0.9971585,0.001598482,0.0003481038,0.0002871469,0.0003089558,0.0002988308],"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":[0.00001872108,0.00001553963,0.0001833147,0.0000381943,0.00001561845,0.00007352715,0.0001055119,0.00509122,0.0005927884,0.9882854,0.0009826205,0.00459756],"study_design_scores_gemma":[0.00002212112,0.00002987407,0.0001799773,0.00002221422,0.00001155351,0.0001406172,0.00005840659,0.03948208,0.0003817482,0.952962,0.006691799,0.00001760138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05640796,0.0007075217,0.8934183,0.001160516,0.0002101318,0.000201725,0.0003766664,0.0001957417,0.04732132],"genre_scores_gemma":[0.7708769,0.001105353,0.212662,0.0006653281,0.00036345,0.0005687681,0.0005426087,0.000275207,0.01294037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006622293,"threshold_uncertainty_score":0.02215374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345772706008816,"score_gpt":0.2114313662098193,"score_spread":0.1768540956089377,"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."}}