{"id":"W3126058110","doi":"10.1111/ijet.12300","title":"An algorithm for identifying least manipulable envy‐free and budget‐balanced allocations in economies with indivisibilities","year":2021,"lang":"en","type":"preprint","venue":"International Journal of Economic Theory","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Outcome (game theory); Set (abstract data type); Key (lock); Microeconomics; Economics; Mathematical economics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004327027,0.001278486,0.001789085,0.002171775,0.001222404,0.002869978,0.002365747,0.002958911,0.006044997],"category_scores_gemma":[0.01820889,0.0008410633,0.001085523,0.001959908,0.001759903,0.003048033,0.002990259,0.001992984,0.001258927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190973,"about_ca_system_score_gemma":0.003716115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997201,"about_ca_topic_score_gemma":0.002853321,"domain_scores_codex":[0.9976271,0.0008980603,0.00019339,0.0005761493,0.0004264466,0.0002788436],"domain_scores_gemma":[0.9904246,0.006720709,0.0008763789,0.0008273171,0.0008029292,0.0003479936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007435633,0.0007293422,0.005910639,0.0003748731,0.0002528191,0.0002332226,0.0009374696,0.4897214,0.004242672,0.1671538,0.008075912,0.3216244],"study_design_scores_gemma":[0.000183814,0.00007800563,0.0003892493,0.00005263934,0.00003234287,0.00005879881,0.000130009,0.8128526,0.001342524,0.1829415,0.001911392,0.00002718771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04416899,0.0001173485,0.9503571,0.0003750206,0.00003201378,0.0003262814,0.0002131048,0.000881717,0.003528469],"genre_scores_gemma":[0.1404091,0.00006768994,0.8559751,0.000123426,0.00002837128,0.0004623962,0.0006152505,0.0001911439,0.002127628],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006044997,"threshold_uncertainty_score":0.02288377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811664486282854,"score_gpt":0.2758166076618856,"score_spread":0.2376999627990571,"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."}}