{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001955682,0.0002811537,0.0001457005,0.0005442418,0.001649789,0.001502953,0.000353237,0.0002556123,0.01233135],"category_scores_gemma":[0.0003123287,0.000139829,0.0001735721,0.0007926633,0.0005247789,0.0005508185,0.001261609,0.0004728864,0.00166341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141395,"about_ca_system_score_gemma":0.002116348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168645,"about_ca_topic_score_gemma":0.06065287,"domain_scores_codex":[0.9998298,0.00003266439,0.000007863196,0.00003669429,0.00003475853,0.00005821202],"domain_scores_gemma":[0.9997941,0.00003173033,0.00004928623,0.00001173799,0.00004634784,0.00006677005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006773505,0.0004669758,0.3851995,0.001235887,0.0001190478,0.005503083,0.02211219,0.00265365,0.01225843,0.02286247,0.04339493,0.5035164],"study_design_scores_gemma":[0.00002075302,0.0002049555,0.4805449,0.0004301031,0.00005064908,0.003179411,0.02727947,0.001238005,0.00363198,0.00247,0.4808924,0.00005723273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091128,0.004451403,0.003273344,0.002251206,0.0001913508,0.0001179301,0.001834329,0.000162685,0.07860496],"genre_scores_gemma":[0.9251511,0.002802551,0.003948993,0.0002994035,0.00004027836,0.0001160136,0.000873849,0.00004620364,0.06672178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0168645,"threshold_uncertainty_score":0.04125243,"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."}}