{"id":"W2061278102","doi":"10.1007/s00355-013-0775-6","title":"Shapley–Shubik methods in cost sharing problems with technological cooperation","year":2013,"lang":"en","type":"article","venue":"Social Choice and Welfare","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Axiom; Anonymity; Shapley value; Property (philosophy); Mathematical economics; Computer science; Offset (computer science); Game theory; Cooperative game theory; Cost sharing; Compensation (psychology); Microeconomics; Economics; Mathematics; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006677445,0.0001125123,0.0002723199,0.00009754192,0.0002296629,0.0001252171,0.0001246982,0.0001605977,0.0002569749],"category_scores_gemma":[0.00009534729,0.0001031538,0.00002711547,0.0002419616,0.0000829253,0.000228829,0.0000485522,0.000197677,0.00005897719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004230091,"about_ca_system_score_gemma":0.000003786314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008417686,"about_ca_topic_score_gemma":0.0001592083,"domain_scores_codex":[0.9991196,0.00003445021,0.0003014758,0.0003034249,0.0000201873,0.0002208981],"domain_scores_gemma":[0.9996729,0.00003952964,0.0001255133,0.0001007335,0.00002571493,0.00003555241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000005403049,0.00005283919,0.2779711,0.00007643831,0.00002197164,9.875595e-7,0.001099817,0.00003137181,0.0001021991,0.7100227,0.00006269437,0.01055244],"study_design_scores_gemma":[0.002374015,0.0002562712,0.7986874,0.0001368716,0.00001387681,0.00001315697,0.003079038,0.003488015,0.0001103555,0.09516677,0.09565108,0.001023163],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729174,0.0005977528,0.003570545,0.003990492,0.00009897168,0.000814098,0.00002485582,0.0001230353,0.01786289],"genre_scores_gemma":[0.9987409,0.00001315494,0.0005510325,0.00009668164,0.00008330004,0.0001548598,0.00001144639,0.00001383909,0.0003347658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6148559,"threshold_uncertainty_score":0.4206492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05032072340237173,"score_gpt":0.2856103721619279,"score_spread":0.2352896487595562,"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."}}