{"id":"W2258853570","doi":"10.17722/ijrbt.v7i3.428","title":"Recognizing Development beyond Economic Growth: By analyzing impact of Inequality on Development","year":2015,"lang":"en","type":"article","venue":"International Journal of Research in Business and Technology","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Economics; Development (topology); Development economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001161604,0.0004663973,0.0003962234,0.003850674,0.0008642294,0.003186872,0.0003608793,0.0004733277,0.00433316],"category_scores_gemma":[0.004791135,0.00008977611,0.0004566002,0.005282614,0.001649649,0.004308326,0.002623213,0.001257991,0.0003269703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442484,"about_ca_system_score_gemma":0.001478678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006790466,"about_ca_topic_score_gemma":0.008133733,"domain_scores_codex":[0.9988636,0.0004478132,0.00005067132,0.0001403229,0.0002921904,0.0002053128],"domain_scores_gemma":[0.9971905,0.001400347,0.0005596503,0.0001834124,0.0004375403,0.0002285314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001154095,0.0002165753,0.4742545,0.000861707,0.0003256058,0.0006064942,0.007410343,0.004819294,0.0008308281,0.2945923,0.0122773,0.2036897],"study_design_scores_gemma":[0.000007011383,0.0002655104,0.6108604,0.001771115,0.00024677,0.0004417156,0.02503057,0.01170253,0.001659673,0.2245516,0.1233863,0.00007690924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.58204,0.03191664,0.05304614,0.02767221,0.001060718,0.000307529,0.006864767,0.0001225535,0.2969695],"genre_scores_gemma":[0.9829406,0.006790307,0.004894484,0.0005032736,0.0003126001,0.0001107245,0.0008351731,0.00002790719,0.003584852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006790466,"threshold_uncertainty_score":0.01449591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248729307712557,"score_gpt":0.4380588672883027,"score_spread":0.3131859365170471,"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."}}