{"id":"W2075779648","doi":"10.5539/jsd.v5n11p15","title":"Predicting Level of Development for Different Countries","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Developing country; Human Development Index; Human development (humanity); Index (typography); Good governance; Economic growth; Politics; Socioeconomic development; Development economics; Categorical variable; Economics; Business; Political science","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":[0.0007787299,0.0003864368,0.0002788351,0.002385481,0.0001955548,0.0007756415,0.0002243841,0.0004488405,0.003082597],"category_scores_gemma":[0.002699078,0.0001367303,0.0006865521,0.002142665,0.0001753415,0.0007009659,0.0005652924,0.0006148146,0.0006911884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006801744,"about_ca_system_score_gemma":0.0004804751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287858,"about_ca_topic_score_gemma":0.01119297,"domain_scores_codex":[0.9997596,0.00006673847,0.00002177452,0.00005635291,0.00003726029,0.00005814674],"domain_scores_gemma":[0.9988977,0.0004360925,0.0002249175,0.00006341282,0.0002634507,0.0001144196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008746245,0.0001037957,0.893007,0.00007191885,0.0001320679,0.0001944361,0.0001205547,0.08053343,0.0002910667,0.001081921,0.003066724,0.02130966],"study_design_scores_gemma":[0.00002779332,0.0002217657,0.6091098,0.00007568162,0.0001062564,0.0001404644,0.000883115,0.381713,0.001382815,0.002214926,0.004082945,0.00004148447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784299,0.0002617573,0.006849461,0.0004867468,0.00004629415,0.00004718147,0.008554954,0.0001627751,0.005161027],"genre_scores_gemma":[0.9917495,0.0002205818,0.002558538,0.00002090942,0.000008100287,0.00003304326,0.004390444,0.00001074551,0.001008063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01287858,"threshold_uncertainty_score":0.02560729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06665275412027656,"score_gpt":0.3212559542635718,"score_spread":0.2546032001432952,"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."}}