{"id":"W2103039992","doi":"10.3386/w15088","title":"State Capacity, Conflict and Development","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Vetenskapsrådet; Canadian Institute for Advanced Research","keywords":"State (computer science); Capacity development; Computer science; Environmental resource management; Environmental science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001226596,0.0001977191,0.0002498368,0.00162132,0.001603394,0.003618426,0.0004563848,0.0006055872,0.01492755],"category_scores_gemma":[0.00427176,0.0001189632,0.0003152241,0.003396154,0.004031572,0.00396655,0.00325979,0.001187175,0.0003357567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003647465,"about_ca_system_score_gemma":0.002203239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005354291,"about_ca_topic_score_gemma":0.008388311,"domain_scores_codex":[0.9991016,0.0004249918,0.0000263983,0.00007279571,0.00009604957,0.0002781055],"domain_scores_gemma":[0.9951482,0.002880559,0.0007660267,0.000233571,0.0004147911,0.0005568966],"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":[0.000006736119,0.0000238329,0.009312061,0.00003528525,0.00001017272,0.0000553961,0.0004603794,0.002807143,0.00002541753,0.9765586,0.0014527,0.009252206],"study_design_scores_gemma":[0.000009325729,0.00003900412,0.02185098,0.0001762506,0.00001823192,0.0002919456,0.005805138,0.006817799,0.0002902012,0.8776807,0.08699048,0.00002996033],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4076313,0.009457384,0.01628111,0.03427723,0.0001692117,0.00006129694,0.000674689,0.00003826799,0.5314096],"genre_scores_gemma":[0.9896668,0.003658992,0.0008984866,0.0002909746,0.00004681457,0.00001965279,0.00007413193,0.000006597541,0.005337497],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01492755,"threshold_uncertainty_score":0.04993767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5111036109630253,"score_gpt":0.4559456522155255,"score_spread":0.05515795874749974,"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."}}