{"id":"W4318321267","doi":"10.31219/osf.io/f6bjh","title":"proyeksi pertumbuhan pdrb kota palu","year":2023,"lang":"id","type":"preprint","venue":"","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Agricultural economics; Economics; Business; Political science; Physics","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":[0.000731647,0.0004881039,0.0006924754,0.001379999,0.002068793,0.004909986,0.0004608501,0.0008199067,0.06312996],"category_scores_gemma":[0.001161299,0.0002584072,0.0002820405,0.001358761,0.0007215432,0.001736176,0.001997822,0.001389573,0.01150424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914143,"about_ca_system_score_gemma":0.00380468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005716229,"about_ca_topic_score_gemma":0.007090736,"domain_scores_codex":[0.999443,0.0001260827,0.00002794112,0.0001232905,0.0001690062,0.0001105161],"domain_scores_gemma":[0.9993543,0.0001316463,0.00005113302,0.00007277747,0.0002193734,0.0001707924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001099301,0.0005413108,0.01504948,0.00179773,0.00007538034,0.002736929,0.006052425,0.001425577,0.01073055,0.1229414,0.1735528,0.6639972],"study_design_scores_gemma":[0.00002786205,0.00007071361,0.01534931,0.000268037,0.0000318143,0.0008183194,0.002405821,0.0005545299,0.003521934,0.006291877,0.9706355,0.00002414923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2213587,0.05935168,0.01266139,0.03129137,0.006840293,0.0003207276,0.007183488,0.002084744,0.6589077],"genre_scores_gemma":[0.4035944,0.02196359,0.01301536,0.001205264,0.001173333,0.0002726234,0.003729433,0.000963274,0.5540826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06312996,"threshold_uncertainty_score":0.2111908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09530337943636569,"score_gpt":0.2394521775909245,"score_spread":0.1441487981545588,"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."}}