{"id":"W2290363282","doi":"10.1515/ldr-2015-0015","title":"Conceptualizing the Developmental State in Resource-Rich Sub-Saharan Africa","year":2015,"lang":"en","type":"article","venue":"The Law and Development Review","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Developmental state; State (computer science); Natural resource; Resource (disambiguation); Political science; Economic growth; Development economics; Economics; Law; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002741651,0.0002477923,0.0005317049,0.00005783169,0.0002534534,0.0001122702,0.0004324284,0.00004988161,0.00009143657],"category_scores_gemma":[0.00007993884,0.0001583168,0.00004693727,0.0002622454,0.0001464329,0.0001398752,0.0002709578,0.0002379898,0.0007858694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002485257,"about_ca_system_score_gemma":0.000103693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008896034,"about_ca_topic_score_gemma":0.000134861,"domain_scores_codex":[0.9979982,0.00005980072,0.00099803,0.0003967677,0.00008524968,0.0004619562],"domain_scores_gemma":[0.9992179,0.0001030699,0.0002765095,0.0002418392,0.00002207076,0.0001386167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002092206,0.0003323101,0.03109763,0.002052543,0.0007475226,0.00008023513,0.07580827,0.00008645678,0.00001379362,0.3400721,0.3513682,0.1981318],"study_design_scores_gemma":[0.000418617,0.0000109137,0.002260543,0.0003300294,0.000003819279,0.00001771333,0.0002760497,0.00001412378,0.00002979917,0.004655327,0.9916957,0.0002873717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1110228,0.7548147,0.0001016126,0.005320713,0.0003196398,0.001433743,0.00001718731,0.00006262246,0.126907],"genre_scores_gemma":[0.7732646,0.1715879,0.003794973,0.0419208,0.0001640874,0.0006042742,0.00009318072,0.0001174925,0.008452676],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6622419,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08718414822255474,"score_gpt":0.2364247892672013,"score_spread":0.1492406410446466,"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."}}