{"id":"W3092934971","doi":"10.31933/jimt.v1i6.209","title":"PENGARUH WABAH COVID-19 TERHADAP TINGKAT PENGANGGURAN TERBUKA PADA SEKTOR TERDAMPAK DI INDONESIA","year":2020,"lang":"en","type":"article","venue":"Jurnal Ilmu Manajemen Terapan","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Unemployment; Tourism; Christian ministry; Coronavirus disease 2019 (COVID-19); Unemployment rate; Business; Quarter (Canadian coin); Geography; Socioeconomics; Economic growth; Political science; Economics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001190101,0.0004020912,0.0004865722,0.0002048945,0.001413169,0.0006258917,0.0009398591,0.000187233,0.002568084],"category_scores_gemma":[0.000927401,0.0003813976,0.000386293,0.0006965238,0.0002751764,0.0008058174,0.0002076335,0.0005953516,0.0001591437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005181032,"about_ca_system_score_gemma":0.0007546218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963229,"about_ca_topic_score_gemma":0.001425125,"domain_scores_codex":[0.9959267,0.0007773798,0.0006869886,0.0006694854,0.001027538,0.00091191],"domain_scores_gemma":[0.9971106,0.0003928488,0.0003583667,0.0003667948,0.00009798018,0.001673416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009669498,0.001175113,0.2825108,0.001057288,0.0009616848,0.0008942494,0.3335342,0.0002374495,0.01592502,0.01523476,0.1798971,0.1676053],"study_design_scores_gemma":[0.001604963,0.0002694602,0.03239204,0.00004920595,0.00008066833,0.00001069441,0.008947085,0.0002736824,0.0002035251,0.0003210956,0.9552116,0.0006359516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7885045,0.0003347627,0.003456218,0.173283,0.001286824,0.001946737,0.00004583103,0.001118833,0.03002333],"genre_scores_gemma":[0.960575,0.0001112927,0.0001898273,0.03388071,0.001174942,0.0000352774,0.00003253945,0.00005185695,0.003948539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7753146,"threshold_uncertainty_score":0.9998869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06833129137952043,"score_gpt":0.3644050337988919,"score_spread":0.2960737424193715,"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."}}