{"id":"W2906438653","doi":"10.5539/mas.v13n1p148","title":"Analyzing Factors Affecting GRDP in Indonesia Using Spatial Panel Data Model","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panel data; Revenue; Econometrics; Investment (military); Economics; Cross-sectional data; Government revenue; Estimation; Variables; Fixed effects model; Variable (mathematics); Population; Statistics; Mathematics; Finance; Demography","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":[0.001624017,0.0003600234,0.0005358456,0.0006466262,0.0003041931,0.001069237,0.0006959749,0.0004737155,0.002950349],"category_scores_gemma":[0.003088027,0.0003084322,0.0008456885,0.002139399,0.0003596346,0.000991742,0.0007627102,0.0009775283,0.0004117315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069438,"about_ca_system_score_gemma":0.000829871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05363053,"about_ca_topic_score_gemma":0.04272664,"domain_scores_codex":[0.9989763,0.000527215,0.00006026301,0.0002112817,0.00009179333,0.0001330881],"domain_scores_gemma":[0.9972692,0.001481525,0.0006536957,0.0002150685,0.0002834106,0.00009698384],"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":[0.0001689084,0.0002334237,0.7988597,0.0001872692,0.0007679719,0.001275187,0.0004843926,0.1667037,0.0006218241,0.007898614,0.0041903,0.01860863],"study_design_scores_gemma":[0.00003708667,0.0001780303,0.4539634,0.0000820842,0.0004808815,0.0002812033,0.002077456,0.526466,0.0008758818,0.009266241,0.006216354,0.00007544585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661197,0.0006183062,0.02241338,0.001133909,0.00004454688,0.00006433031,0.005463216,0.00008004341,0.004062553],"genre_scores_gemma":[0.9939535,0.000368786,0.002192705,0.00005432637,0.00001343175,0.00003145009,0.002237512,0.00000843473,0.001139831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05363053,"threshold_uncertainty_score":0.1066368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518056622854113,"score_gpt":0.2772414946180848,"score_spread":0.1254358323326734,"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."}}