{"id":"W2802195573","doi":"10.3968/10208","title":"Governance and Development in Africa: A Panel Causal Investigation","year":2018,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Corporate governance; Causality (physics); Good governance; Economics; Short run; Panel data; Development economics; Political science; Macroeconomics; Econometrics; Finance","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":[0.005231114,0.0003502707,0.0004725944,0.002497317,0.001194802,0.001028365,0.0004895362,0.0005524955,0.005424154],"category_scores_gemma":[0.01406209,0.0002991206,0.0009114015,0.004688042,0.0005241348,0.001177717,0.001457421,0.001047453,0.0003612415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009518026,"about_ca_system_score_gemma":0.001149145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03981102,"about_ca_topic_score_gemma":0.03414952,"domain_scores_codex":[0.9965277,0.002619714,0.00008275334,0.0002929153,0.0001756315,0.0003013028],"domain_scores_gemma":[0.983191,0.01128322,0.002778554,0.001313561,0.0009965546,0.0004370091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002498877,0.0002400801,0.93812,0.0001753874,0.001077593,0.0007517146,0.002385472,0.01401278,0.0002565566,0.01037283,0.003375497,0.02898224],"study_design_scores_gemma":[0.000119861,0.0005884172,0.8729852,0.0004975568,0.001289557,0.0006905231,0.01195093,0.06854057,0.001056195,0.01837876,0.02381128,0.00009122327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699237,0.001980928,0.01551937,0.001276033,0.00006575511,0.0002259952,0.003798746,0.00003309971,0.007176404],"genre_scores_gemma":[0.9937295,0.0008117628,0.002744035,0.0001159166,0.00003566181,0.0001083632,0.001554094,0.000005218212,0.0008954586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03981102,"threshold_uncertainty_score":0.0791586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457397055261724,"score_gpt":0.208191323454707,"score_spread":0.1736173529020897,"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."}}