{"id":"W4399247604","doi":"10.32630/sukowati.v8i1.467","title":"Analisis Determinan Pembangunan Ekonomi Inklusif di Provinsi Kalimantan Selatan Menggunakan Pendekatan Panel Vector Error Correction Model (PVECM)","year":2024,"lang":"id","type":"article","venue":"Jurnal Litbang Sukowati Media Penelitian dan Pengembangan","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Error correction model; Mathematics; Econometrics; Cointegration","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":[0.001412911,0.0005792298,0.0005734567,0.0009026492,0.0005328976,0.00178902,0.0004619131,0.000406682,0.005397349],"category_scores_gemma":[0.003616641,0.0002564648,0.001154658,0.002164908,0.000389491,0.000720904,0.0006679708,0.0009137601,0.001031145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232821,"about_ca_system_score_gemma":0.00175898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1083408,"about_ca_topic_score_gemma":0.1203793,"domain_scores_codex":[0.9990782,0.0002607052,0.00008131065,0.0002331488,0.000223196,0.0001233956],"domain_scores_gemma":[0.9976224,0.00119692,0.0003183373,0.000183336,0.0005976077,0.00008130809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001526485,0.00009668854,0.9354528,0.0003293712,0.0008798812,0.000440996,0.002392164,0.007367963,0.001853865,0.002997729,0.004295649,0.04374021],"study_design_scores_gemma":[0.00001543948,0.0001204908,0.9580273,0.0001301503,0.0004488571,0.0001943042,0.005667382,0.01388397,0.001461503,0.001165438,0.01884419,0.0000409512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505358,0.001866587,0.0176636,0.001314924,0.0001047144,0.0001428542,0.0134125,0.0002787898,0.01468018],"genre_scores_gemma":[0.9771328,0.000587414,0.004308582,0.0001308622,0.00002069192,0.0001185818,0.005302305,0.00002892759,0.0123697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083408,"threshold_uncertainty_score":0.2154204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674666493112585,"score_gpt":0.2430088202369031,"score_spread":0.1962621553057772,"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."}}