{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005291384,0.000505243,0.0002997235,0.0004872109,0.001521479,0.002310612,0.000417148,0.0005464345,0.02789335],"category_scores_gemma":[0.0006333128,0.0002175747,0.0003408923,0.0004924642,0.0005177181,0.001141528,0.001627463,0.001601099,0.006292558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007815459,"about_ca_system_score_gemma":0.002620301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004515606,"about_ca_topic_score_gemma":0.008058979,"domain_scores_codex":[0.9997049,0.00006255013,0.00002407979,0.00004133247,0.0000759732,0.00009121445],"domain_scores_gemma":[0.9996725,0.00005399822,0.00004947288,0.00002256595,0.00007779696,0.0001235901],"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":[0.0005431102,0.001060475,0.04327646,0.002282204,0.0001137214,0.003248878,0.008865144,0.0008998658,0.01036312,0.02147957,0.1059992,0.8018682],"study_design_scores_gemma":[0.00006120489,0.0004174147,0.09871019,0.001435782,0.0001280258,0.002664761,0.01304852,0.0009093765,0.006941798,0.004860576,0.8707353,0.00008682823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3672087,0.03873487,0.01060625,0.02536798,0.006770652,0.0005147393,0.00320936,0.00104049,0.5465469],"genre_scores_gemma":[0.7497679,0.03032265,0.0100997,0.002866009,0.0007943167,0.0003444322,0.001998528,0.0002989372,0.2035075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02789335,"threshold_uncertainty_score":0.0933125,"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."}}