{"id":"W4391405303","doi":"10.22212/jekp.v14i1.3705","title":"PENINGKATAN KEMISKINAN PERKOTAAN, SUBURBAN, DAN PERDESAAN PADA AWAL PANDEMI COVID-19 DI KABUPATEN KENDAL","year":2024,"lang":"id","type":"article","venue":"Jurnal Ekonomi dan Kebijakan Publik","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004738532,0.001348116,0.001390251,0.001096528,0.002973754,0.006797653,0.002542828,0.0009161292,0.002475385],"category_scores_gemma":[0.002991639,0.001323916,0.001630701,0.002380658,0.001459134,0.00320047,0.0008133135,0.002494712,0.0005765402],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004565546,"about_ca_system_score_gemma":0.01130703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007171287,"about_ca_topic_score_gemma":0.004556247,"domain_scores_codex":[0.989078,0.001874558,0.002006937,0.002304061,0.001954817,0.002781569],"domain_scores_gemma":[0.9920838,0.001378982,0.0007435472,0.001273779,0.0003364561,0.004183466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001014249,0.001506295,0.5574427,0.002270065,0.002220902,0.001966732,0.07751202,0.0002167895,0.001913906,0.04522225,0.2276441,0.08107001],"study_design_scores_gemma":[0.001759171,0.0005296402,0.08525977,0.0003915726,0.0004592877,0.000170938,0.01091486,0.00234443,0.00005332295,0.0002791638,0.8962315,0.001606312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571549,0.006372071,0.00107036,0.05344455,0.01047047,0.002190696,0.0006903904,0.001710091,0.06689651],"genre_scores_gemma":[0.9632751,0.001097949,0.00002896288,0.002953867,0.003716075,0.00008445508,0.0002730928,0.0002254862,0.02834506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6685874,"threshold_uncertainty_score":0.999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858652341766403,"score_gpt":0.352234141661698,"score_spread":0.303647618244034,"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."}}