{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006842359,0.0003189326,0.001018855,0.001440311,0.0001898136,0.0001285717,0.0005184847,0.0004447686,0.0004460701],"category_scores_gemma":[0.000681468,0.0003961751,0.0001434195,0.0001214474,0.0003729963,0.0002456225,0.0002288723,0.0008039827,0.001179855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125507,"about_ca_system_score_gemma":0.001561309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801533,"about_ca_topic_score_gemma":0.0002018101,"domain_scores_codex":[0.9964661,0.0000469488,0.001709979,0.0008552714,0.0002848459,0.0006368325],"domain_scores_gemma":[0.9978432,0.0003971098,0.000772473,0.0003433508,0.0004258827,0.0002179786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004211617,0.0001268028,0.006934727,0.0003531835,0.0004002895,0.000003072199,0.0005081097,0.0000702279,0.000005989225,0.8580593,0.1293437,0.004152474],"study_design_scores_gemma":[0.000415455,0.0000713558,0.01026449,0.00005103981,0.000002243007,0.00001606439,0.00001206679,0.0001511388,0.0000922801,0.6142161,0.3743626,0.0003451779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.014551,0.002949327,0.00001181211,0.000675939,0.0004243138,0.0004570391,0.0005550154,0.00002093086,0.9803546],"genre_scores_gemma":[0.9696491,0.004343148,0.001083452,0.0002068528,0.001399974,0.000124921,0.0005711821,0.000118027,0.02250336],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9578513,"threshold_uncertainty_score":0.999849,"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."}}