{"id":"W2613277224","doi":"10.1016/j.geb.2017.05.002","title":"Three little-known and yet still significant contributions of Lloyd Shapley","year":2017,"lang":"en","type":"article","venue":"Games and Economic Behavior","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Shapley value; Mathematical economics; Core (optical fiber); Game theory; Mathematics; Computer science","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":[0.00466807,0.001353342,0.001122078,0.001401478,0.001762664,0.004576746,0.001983592,0.002836952,0.005335654],"category_scores_gemma":[0.01978086,0.0005498559,0.0008789146,0.002094212,0.006181734,0.008286777,0.002992166,0.005222082,0.001428289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163359,"about_ca_system_score_gemma":0.002336558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109583,"about_ca_topic_score_gemma":0.001017832,"domain_scores_codex":[0.9974647,0.001371953,0.0000978489,0.0003860446,0.0005131631,0.0001663344],"domain_scores_gemma":[0.9928604,0.004770976,0.0002990089,0.0009580181,0.0007185081,0.0003930804],"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":[0.00002751484,0.00003590995,0.0002297471,0.00009909497,0.00002251207,0.00001595424,0.0001881208,0.001268621,0.00007944255,0.9698833,0.008640226,0.01950951],"study_design_scores_gemma":[0.000007870955,0.000006305027,0.00008343413,0.00004181451,0.000007332649,0.00001610983,0.00003784806,0.001592932,0.00009336091,0.9851762,0.01292645,0.00001028713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04205563,0.04523822,0.4788096,0.08619419,0.008024157,0.0002395452,0.0006117573,0.0003540326,0.3384729],"genre_scores_gemma":[0.6596555,0.03352472,0.2018263,0.01978192,0.0109672,0.0003920562,0.0005699229,0.0003915531,0.07289088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005335654,"threshold_uncertainty_score":0.02468741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133412399462716,"score_gpt":0.2569065869552318,"score_spread":0.2155724629606046,"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."}}