{"id":"W2997961993","doi":"10.5430/rwe.v10n5p139","title":"Regional Economic Growth in Malaysia: Does Aggregate Overqualification Matter?","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kuala lumpur; Demographic economics; Panel data; Economics; Aggregate (composite); Bachelor; Geography; Business; Econometrics","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":[0.001131335,0.0002285363,0.0003229161,0.0009018694,0.0002607064,0.001465511,0.0003003293,0.0002818357,0.002010368],"category_scores_gemma":[0.003305266,0.0001070017,0.0005193853,0.001692637,0.000475909,0.001095227,0.001075815,0.001057953,0.000385804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009104897,"about_ca_system_score_gemma":0.001130885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0355616,"about_ca_topic_score_gemma":0.04738605,"domain_scores_codex":[0.9991384,0.0002008792,0.00008374506,0.0001279375,0.0001708966,0.0002781815],"domain_scores_gemma":[0.9966117,0.0005471411,0.001725267,0.0001340394,0.0004087112,0.0005731131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003873329,0.00002334909,0.9910648,0.00002323438,0.00004046321,0.00009466243,0.0001510216,0.0007052684,0.00003413637,0.0002402553,0.0004124414,0.007171728],"study_design_scores_gemma":[9.846526e-7,0.000035807,0.9966027,0.00004310783,0.00001875774,0.00004629256,0.001055673,0.001019171,0.00008702749,0.0001145935,0.0009712868,0.000004474541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939614,0.0007745656,0.0001722267,0.001287056,0.00002654761,0.000007633873,0.001288674,0.000007174985,0.002474826],"genre_scores_gemma":[0.9983728,0.0003663882,0.00004377339,0.00005318158,0.00001517561,0.000002872012,0.0007153678,0.000001705955,0.000428564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0355616,"threshold_uncertainty_score":0.07070923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07036206112068293,"score_gpt":0.3022818105130475,"score_spread":0.2319197493923646,"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."}}