{"id":"W4392009001","doi":"10.24843/eeb.2023.v12.i04.p06","title":"PREDIKSI INDIKATOR MAKRO EKONOMI INDONESIA PASCA PANDEMI COVID-19 MENGGUNAKAN ANALISIS INTERVENSI","year":2023,"lang":"id","type":"article","venue":"E-Jurnal Ekonomi dan Bisnis Universitas Udayana","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":"Coronavirus disease 2019 (COVID-19); Medicine; Infectious disease (medical specialty)","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":[0.006047786,0.0007490987,0.0009736212,0.001383936,0.001052942,0.003285894,0.0007557872,0.0006554892,0.01422404],"category_scores_gemma":[0.01543301,0.0004740897,0.001411206,0.002069992,0.0007284922,0.001708696,0.001658927,0.001785069,0.002311089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008272,"about_ca_system_score_gemma":0.00485435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309672,"about_ca_topic_score_gemma":0.02249017,"domain_scores_codex":[0.9949352,0.002342447,0.0005354105,0.0007704832,0.001078999,0.0003375357],"domain_scores_gemma":[0.9891511,0.005417617,0.001800201,0.0009239534,0.002229776,0.0004772643],"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":[0.001154149,0.0006988241,0.6745033,0.003371546,0.001437443,0.0005625534,0.006848955,0.004665319,0.001697169,0.01242033,0.02038058,0.2722598],"study_design_scores_gemma":[0.00009801131,0.0008506869,0.8289351,0.002795461,0.001773227,0.0007575667,0.01186197,0.01009814,0.004277085,0.01400544,0.1243516,0.0001956783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7150898,0.02253623,0.05933333,0.01786137,0.001252369,0.002137373,0.03752171,0.0007598092,0.1435082],"genre_scores_gemma":[0.9301443,0.00721224,0.0204657,0.001846773,0.0002967058,0.001985906,0.006992986,0.000160849,0.03089469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02309672,"threshold_uncertainty_score":0.04758412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410101409118296,"score_gpt":0.2401816038031901,"score_spread":0.1991714628913606,"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."}}