{"id":"W3022500741","doi":"10.2307/3552279","title":"Growth, Inequality and Social Protection","year":2003,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Income distribution; Distribution (mathematics); Welfare economics; Inequality; Lien; Economic inequality; Production (economics); Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353402,0.0008301677,0.0006815052,0.002071168,0.002809708,0.005299849,0.0006993671,0.002912894,0.006926787],"category_scores_gemma":[0.003422649,0.0004035668,0.0002066775,0.004833741,0.00408891,0.004206134,0.001944422,0.002305937,0.001268749],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00801158,"about_ca_system_score_gemma":0.005999656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1868686,"about_ca_topic_score_gemma":0.4141468,"domain_scores_codex":[0.9992808,0.0002373209,0.00003098373,0.00008270701,0.0002552354,0.0001129859],"domain_scores_gemma":[0.9987282,0.0006519086,0.00009445024,0.00004198453,0.0003621338,0.0001212855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008259843,0.00006202913,0.004695118,0.0005504375,0.00004814204,0.0001025165,0.0029513,0.0008570877,0.0001946161,0.3746143,0.5502054,0.06563655],"study_design_scores_gemma":[0.00003120121,0.00003539976,0.0268215,0.002393351,0.00005020886,0.0001288099,0.006296564,0.0005124143,0.0002889464,0.2154354,0.7479445,0.00006172428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003726305,0.7950926,0.00055697,0.1541101,0.002102711,0.00001538489,0.0004400894,0.00001842843,0.04393739],"genre_scores_gemma":[0.1637688,0.7783977,0.0008647839,0.01319087,0.003914811,0.0000564238,0.0003517077,0.00004625944,0.03940873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9919884,"threshold_uncertainty_score":0.3715618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06101087484218824,"score_gpt":0.3124413297871664,"score_spread":0.2514304549449781,"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."}}