{"id":"W4211100060","doi":"10.1002/jid.3632","title":"The operational tensions in using compensation to resolve wartime mass property claims","year":2022,"lang":"en","type":"article","venue":"Journal of International Development","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"World Bank Group","keywords":"Compensation (psychology); Property (philosophy); Population; Law and economics; Property rights; Preference; Peacebuilding; Economics; Business; Political science; Law; Economic system; Political economy; Sociology; Microeconomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001969961,0.00007659171,0.00009643021,0.0001640072,0.0008681267,0.0001027783,0.0004030628,0.0000196652,0.000934964],"category_scores_gemma":[0.0001809521,0.00005105013,0.00004417802,0.0001828383,0.00005811758,0.0002502577,0.00014311,0.0002089535,0.00002795285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002657617,"about_ca_system_score_gemma":0.0006166392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001845313,"about_ca_topic_score_gemma":0.0003092971,"domain_scores_codex":[0.9976547,0.0002210779,0.000519587,0.0001062691,0.001307762,0.0001906554],"domain_scores_gemma":[0.9993886,0.00008828419,0.0002282834,0.00005963528,0.0001296203,0.0001055556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00159144,0.002412264,0.3536507,0.000008777251,0.0007376141,0.0003649534,0.09982452,0.3688573,0.1033744,0.01548454,0.03692913,0.01676441],"study_design_scores_gemma":[0.00100243,0.0001501606,0.1482026,0.00006840229,0.00001014259,0.00006105226,0.01369826,0.003872214,0.001663298,0.0004721086,0.8305309,0.0002684344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750715,0.00003407058,0.002233247,0.01776879,0.00136442,0.0003339108,0.000006186396,0.000005558358,0.003182295],"genre_scores_gemma":[0.9858826,0.00002296304,0.01077446,0.0008375731,0.0001245711,0.00001550477,0.000006652529,0.000008748008,0.00232688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7936018,"threshold_uncertainty_score":0.9999783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04561212517195194,"score_gpt":0.4001987475685422,"score_spread":0.3545866223965903,"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."}}