{"id":"W3100604157","doi":"10.1017/9781108678834","title":"Kant and Global Distributive Justice","year":2020,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Political Philosophy and Ethics","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"University of Oxford; University of Cambridge; United Nations Development Programme; Johns Hopkins University; World Health Organization; UNICEF; World Bank Group","keywords":"Duty; Global justice; Distributive justice; Normative; State (computer science); Immigration; Law and economics; Political science; Element (criminal law); Poverty; Politics; Economic Justice; Distributive property; Inequality; Core (optical fiber); Socioeconomic status; Sociology; Positive economics; Law; Economics; Computer science; Mathematics; Population","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001468303,0.0002124381,0.0002936181,0.00002142155,0.000697037,0.00006700778,0.0004141926,0.0005316778,0.000001866818],"category_scores_gemma":[0.0002000536,0.0002602088,0.0001107002,0.00001991906,0.001549215,0.00008633141,0.0003603792,0.0006040213,0.00001573586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006820577,"about_ca_system_score_gemma":0.0009415015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008955225,"about_ca_topic_score_gemma":0.00001980515,"domain_scores_codex":[0.9985563,0.0001892145,0.0001078817,0.0003966139,0.0003585285,0.0003914682],"domain_scores_gemma":[0.9988016,0.0002380405,0.00009318138,0.0001689379,0.0001417795,0.0005564509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003846136,0.000005392688,0.000001063746,0.00009704872,0.00004826321,0.0001910868,0.000384699,7.383715e-8,3.042764e-7,0.9048492,0.09423667,0.0001477196],"study_design_scores_gemma":[0.0002178849,0.00003011905,0.0000179765,0.00007112585,0.0004687072,0.000001813429,0.0004306879,0.000006232489,0.000004452352,0.002504591,0.9959626,0.0002838635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001663234,0.0001223947,0.0002842836,0.0008690397,0.0002721935,0.000235547,0.002139127,0.0001247568,0.995936],"genre_scores_gemma":[0.005592175,0.0001487597,0.00002549397,0.0005378707,0.0007215693,2.951881e-7,0.00006357787,0.00001045969,0.9928998],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9023446,"threshold_uncertainty_score":0.999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812600450279888,"score_gpt":0.2735437684980546,"score_spread":0.2254177639952557,"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."}}