{"id":"W2769770987","doi":"10.5539/ibr.v10n12p167","title":"Human Capital and Economic Growth in Morocco: Evidence from Bayesian Model Averaging","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human capital; Econometrics; Economics; Cointegration; Life expectancy; Proxy (statistics); Granger causality; Multivariate statistics; Real gross domestic product; Gross domestic product; Index (typography); Statistics; Mathematics; Macroeconomics; Population; Economic growth; Demography; Computer science","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":[0.007833554,0.0004276298,0.0008201587,0.001414764,0.0007987866,0.001524356,0.0008204464,0.0006514309,0.001805903],"category_scores_gemma":[0.02772023,0.0002390531,0.0007920714,0.001383329,0.001226758,0.001137507,0.001290864,0.0005359724,0.000199279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108272,"about_ca_system_score_gemma":0.0008841425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05597149,"about_ca_topic_score_gemma":0.02333613,"domain_scores_codex":[0.9977138,0.00137818,0.0001052211,0.0003898086,0.0001772206,0.0002357566],"domain_scores_gemma":[0.9716249,0.0218368,0.003518509,0.001618042,0.001074913,0.0003269375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000492237,0.0002368879,0.7465963,0.0002477276,0.001275956,0.001168755,0.002898589,0.1272229,0.0005034324,0.04475562,0.002481489,0.07212001],"study_design_scores_gemma":[0.00008809553,0.0002392099,0.4694734,0.0002131454,0.0005703741,0.0004166677,0.001406169,0.4584494,0.0006315842,0.0625439,0.005870627,0.00009747892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830466,0.002163789,0.01053876,0.0008931098,0.0000252203,0.00001847675,0.0002231774,0.0000490301,0.003041876],"genre_scores_gemma":[0.9984195,0.0004550934,0.000743805,0.00003734394,0.00002552973,0.000005756289,0.0001333599,0.000006098731,0.0001735232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05597149,"threshold_uncertainty_score":0.1112914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283922908933934,"score_gpt":0.3449349557367576,"score_spread":0.2165426648433642,"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."}}