{"id":"W4292553470","doi":"10.5296/ijrd.v9i2.19984","title":"Achieving Sustainable Development Goals (SDGs) among the South Asian Countries: Progress and Challenges","year":2022,"lang":"en","type":"article","venue":"International Journal of Regional Development","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Japan Society for the Promotion of Science","keywords":"Sustainable development; Poverty; Per capita; Sustainability; Economic growth; Millennium Development Goals; Development economics; South asia; Ranking (information retrieval); Population; Geography; Business; Political science; Economics; Environmental health; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001726136,0.0001861927,0.0003007509,0.0003853947,0.0003946525,0.0001315922,0.000778637,0.00004372941,0.0002543651],"category_scores_gemma":[0.00004793351,0.0001756828,0.00008290706,0.00007393436,0.0001514587,0.0003196986,0.0004934127,0.0002758978,0.00002632528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040268,"about_ca_system_score_gemma":0.0002169285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007896783,"about_ca_topic_score_gemma":0.000007024545,"domain_scores_codex":[0.9980606,0.00004174623,0.0009976281,0.0003001663,0.0002994188,0.0003004629],"domain_scores_gemma":[0.9983739,0.00007180244,0.001210624,0.0001381775,0.00009992475,0.000105572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002614804,0.000390235,0.4019814,0.0001009519,0.002048858,0.0003629909,0.03351326,0.001773291,0.000002759265,0.535234,0.002322151,0.02200863],"study_design_scores_gemma":[0.0005859756,0.00004141754,0.322242,0.00003180645,0.000004570782,0.0001432378,0.005068435,0.0000283347,0.00003766723,0.002724302,0.6688787,0.0002135526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599968,0.0130665,0.0007932031,0.02151898,0.0008240312,0.0002488764,0.00001417234,0.00001583411,0.003521603],"genre_scores_gemma":[0.9948491,0.0008052101,0.002048524,0.000502996,0.0001683496,0.00007256867,0.00001008099,0.00002730222,0.001515889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6665565,"threshold_uncertainty_score":0.7164137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269519372447617,"score_gpt":0.2091219820132432,"score_spread":0.1821700447684815,"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."}}