{"id":"W589402077","doi":"10.1007/978-94-011-4028-7","title":"Social Development in Asia","year":2000,"lang":"en","type":"book","venue":"Social indicators research series","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Development economics; Population; Economic growth; South asia; Political science; Economics; Geography; Sociology; History; Ancient history; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867751,0.0007896101,0.0003403169,0.001155632,0.000842782,0.002043685,0.0003106357,0.0005193333,0.01400091],"category_scores_gemma":[0.0003386932,0.0001833918,0.000162585,0.00338945,0.0006221884,0.002156425,0.001433495,0.00156427,0.005381034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558004,"about_ca_system_score_gemma":0.002715193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530026,"about_ca_topic_score_gemma":0.03197794,"domain_scores_codex":[0.9999241,0.00001547315,0.000005491169,0.00001311098,0.00002475955,0.00001706585],"domain_scores_gemma":[0.9999206,0.00001133596,0.000007533847,0.00001124214,0.00003260433,0.00001660803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002278759,0.00005309549,0.001739032,0.0003030327,0.000009428864,0.0001689924,0.001967135,0.0005126116,0.0003081103,0.1758233,0.3519253,0.4671673],"study_design_scores_gemma":[0.000002847248,0.00001248158,0.003253325,0.0002733725,0.000005048862,0.0001186332,0.000531251,0.0001424344,0.0001246177,0.01416131,0.9813709,0.000003822459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00420214,0.1176053,0.001440498,0.00750981,0.002241268,0.00004209638,0.00050798,0.0001301705,0.8663208],"genre_scores_gemma":[0.05194882,0.1682578,0.002435165,0.002903676,0.001050679,0.0001871972,0.001048301,0.0001453633,0.7720231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01530026,"threshold_uncertainty_score":0.04683775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059623291556452,"score_gpt":0.4285178868548087,"score_spread":0.3225555576991636,"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."}}