{"id":"W1986374619","doi":"10.1007/s11205-009-9566-y","title":"“Healthy” Human Development Indices","year":2009,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Human Development Index; Life expectancy; Ranking (information retrieval); Outlier; Rank correlation; Rank (graph theory); Human development (humanity); Demography; Quality of Life Research; Index (typography); Geography; Public health; Psychology; Statistics; Medicine; Economic growth; Economics; Mathematics; Sociology; Population; Computer science","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":[0.002387029,0.0005423214,0.0002997944,0.004880255,0.0005524441,0.0009864827,0.0005964988,0.0003150519,0.005288079],"category_scores_gemma":[0.006639244,0.0001585211,0.0003522997,0.005116328,0.0004501817,0.001340735,0.001279902,0.0007072348,0.001069355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009391606,"about_ca_system_score_gemma":0.00130776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005394879,"about_ca_topic_score_gemma":0.01313586,"domain_scores_codex":[0.9984967,0.000475705,0.0001535115,0.0001776571,0.0005452027,0.0001513095],"domain_scores_gemma":[0.9970091,0.0004068163,0.0006100923,0.0003952844,0.001324776,0.0002539724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003186685,0.0003042722,0.4782321,0.0005308505,0.0002616623,0.000089376,0.001595265,0.003163276,0.001115914,0.1232242,0.1061184,0.2850461],"study_design_scores_gemma":[0.00005435263,0.0004082073,0.7739617,0.000209466,0.0001671893,0.0003175404,0.002431948,0.003715508,0.002835792,0.04538338,0.1704478,0.00006712122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4447531,0.002519637,0.04648088,0.00436632,0.001412545,0.0008423557,0.09019405,0.001401978,0.4080293],"genre_scores_gemma":[0.8851253,0.001183309,0.05929897,0.0007979334,0.000312258,0.0009985107,0.03338165,0.0001402383,0.01876184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005394879,"threshold_uncertainty_score":0.01769042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1885662966877592,"score_gpt":0.5074126960675146,"score_spread":0.3188463993797553,"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."}}