{"id":"W1689287262","doi":"10.2139/ssrn.2492300","title":"How to Divide Things Fairly","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Epistemology; Sociology; Computer science; Philosophy","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":[0.003277745,0.0003449558,0.0005350637,0.0006902652,0.002443153,0.005848463,0.0008488031,0.003192887,0.02643038],"category_scores_gemma":[0.02315271,0.000293223,0.0004782909,0.0009475992,0.004167556,0.008842272,0.002640187,0.003456072,0.006980177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182012,"about_ca_system_score_gemma":0.002014423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262728,"about_ca_topic_score_gemma":0.002710229,"domain_scores_codex":[0.9977388,0.0009687486,0.0001085615,0.0004352139,0.0004506466,0.0002979831],"domain_scores_gemma":[0.9942576,0.002562853,0.0004980623,0.001328021,0.0007125251,0.0006409752],"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":[0.00005427597,0.00004256495,0.0008108038,0.00004377272,0.00003241618,0.0000329566,0.0007311024,0.001485648,0.000679528,0.936291,0.01806322,0.04173282],"study_design_scores_gemma":[0.00001218307,0.00001133086,0.0002838358,0.00002279223,0.00001012478,0.00002007748,0.0004323169,0.001963178,0.0002499955,0.9667451,0.03023889,0.00001014186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1075126,0.002106238,0.2249362,0.1210092,0.00227732,0.0002894679,0.0003375047,0.00046676,0.5410649],"genre_scores_gemma":[0.8220025,0.0008883504,0.03714157,0.009145484,0.0005242442,0.0003104671,0.0002121611,0.0002811009,0.1294941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02643038,"threshold_uncertainty_score":0.08841848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121209554795638,"score_gpt":0.1911529889172443,"score_spread":0.1790320334376805,"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."}}