{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006288245,0.0001569133,0.0005202041,0.00008318386,0.0002187298,0.0001684304,0.0002290303,0.0001173398,0.0002675503],"category_scores_gemma":[0.00008512596,0.0001718743,0.00008465635,0.00001266793,0.0002913613,0.0002215441,0.0001197117,0.000104972,0.0001072406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003967157,"about_ca_system_score_gemma":0.00001620981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354411,"about_ca_topic_score_gemma":0.0001923238,"domain_scores_codex":[0.9987832,0.000009276152,0.0005635863,0.0003787453,0.00001274249,0.0002524449],"domain_scores_gemma":[0.99872,0.00006102518,0.0005787604,0.0005037175,0.00001820336,0.0001182312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002299018,0.00006626629,0.6662151,0.00003935464,0.00004744269,0.00000303375,0.0002897416,0.000003778016,0.0002082566,0.3280147,0.0003094375,0.004779844],"study_design_scores_gemma":[0.001176724,0.0001347652,0.9634874,0.00005204898,0.00004992529,0.00001865915,0.0001329672,0.0007798141,0.0003419593,0.02075658,0.01269206,0.0003770897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994297,0.001068309,0.0001889049,0.000249571,0.0005267342,0.0002609659,0.001214268,0.00001975731,0.00217454],"genre_scores_gemma":[0.9989079,0.0002088649,0.00009503646,0.00001816361,0.00009834772,0.00004029269,0.00001053324,0.00001733046,0.0006035913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3072581,"threshold_uncertainty_score":0.7008829,"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."}}