{"id":"W2973676013","doi":"10.22437/pdpd.v7i1.4602","title":"Analisis pertumbuhan ekonomi dan ketimpangan pembangunan di Wilayah Sumatera","year":2018,"lang":"en","type":"article","venue":"e-Jurnal Perspektif Ekonomi dan Pembangunan Daerah","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Panel data; Geography; Investment (military); Economics; Welfare economics; Mathematics; Statistics; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654079,0.0003153178,0.0002995278,0.001378176,0.0005206118,0.00106707,0.0002378415,0.0001405917,0.00350117],"category_scores_gemma":[0.0006620529,0.0001225574,0.0002620991,0.002829424,0.0002574238,0.0003821828,0.0007567677,0.0003898056,0.0005630903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023547,"about_ca_system_score_gemma":0.0007363201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04779914,"about_ca_topic_score_gemma":0.06932217,"domain_scores_codex":[0.9997597,0.00003685441,0.00002194166,0.00004217396,0.00007459913,0.00006472945],"domain_scores_gemma":[0.9996215,0.00008738331,0.00009577786,0.00002811592,0.0001183688,0.0000488536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001044528,0.00006156101,0.9596261,0.0001680951,0.0001319484,0.0005446183,0.004610683,0.0009140085,0.0009684943,0.0008199036,0.001904571,0.0301456],"study_design_scores_gemma":[0.00000161222,0.00001284885,0.9848388,0.00003498314,0.00002938625,0.00008894518,0.00865406,0.000612206,0.0003314098,0.0001019935,0.005287947,0.000005857274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905936,0.0003683387,0.0002967585,0.0001610805,0.0000129646,0.00001842514,0.002270145,0.000008413324,0.006270217],"genre_scores_gemma":[0.9927847,0.0004591837,0.0003389023,0.00002678756,0.000007474663,0.00003958329,0.002639927,0.000004448863,0.003699015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04779914,"threshold_uncertainty_score":0.09504181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433584116698907,"score_gpt":0.2294100911805355,"score_spread":0.2050742500135464,"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."}}