{"id":"W2068744844","doi":"10.1007/s001480100109","title":"Optimal food allocation in a slave economy","year":2003,"lang":"en","type":"article","venue":"Journal of Population Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Allotment; Productivity; Economics; Property rights; Consumption (sociology); Order (exchange); Value (mathematics); Resource productivity; Resource allocation; Microeconomics; Market economy; Economic growth","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":[0.0009121444,0.00006729055,0.0001605337,0.0001740022,0.00009291915,0.00006336988,0.0001080605,0.00009035517,0.00003495018],"category_scores_gemma":[0.0001278157,0.00007673759,0.00007043116,0.00009818282,0.00002723525,0.0005329526,0.000005124555,0.0001123049,0.00000584457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004003249,"about_ca_system_score_gemma":0.0002116348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001369188,"about_ca_topic_score_gemma":0.002119877,"domain_scores_codex":[0.9990961,0.0001028111,0.00050328,0.00008677217,0.0000539381,0.0001571315],"domain_scores_gemma":[0.9992926,0.00004511053,0.0004154913,0.0000729131,0.00009233084,0.00008153991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000136576,0.00007572953,0.5683902,0.000004953259,0.00002975901,0.00000127585,0.006935855,0.09617242,0.000005325389,0.327257,0.00007892844,0.001034951],"study_design_scores_gemma":[0.00253074,0.0003146458,0.7866026,0.0000327456,0.00004861335,0.00002804778,0.03204308,0.01294458,0.00002803536,0.1092862,0.05559609,0.0005446027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887148,0.00006453539,0.001592589,0.0003405804,0.0005297502,0.00008999476,0.000001787644,0.000004801085,0.008661225],"genre_scores_gemma":[0.9958718,0.0001645776,0.003548032,0.000129047,0.0001705028,0.000001247712,0.000003772451,0.000007837996,0.0001031805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2182124,"threshold_uncertainty_score":0.3129268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583528258083292,"score_gpt":0.2696170449381178,"score_spread":0.2437817623572849,"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."}}