{"id":"W4318572168","doi":"10.23969/kebijakan.v14i1.5815","title":"IMPLEMENTASI KEBIJAKAN PENANGANAN PANDEMI COVID-19 DI KOTA SUKABUMI (STUDI KASUS PEMBATASAN SOSIAL BERSKALA BESAR)","year":2023,"lang":"id","type":"article","venue":"Kebijakan Jurnal Ilmu Administrasi","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.007180487,0.0004789309,0.0005647765,0.001289592,0.00280347,0.007722877,0.001466105,0.001329056,0.03848964],"category_scores_gemma":[0.01488372,0.0005207366,0.0009005153,0.001913595,0.002398924,0.006144393,0.005256807,0.002920512,0.006088206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006097793,"about_ca_system_score_gemma":0.01354183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809527,"about_ca_topic_score_gemma":0.03305683,"domain_scores_codex":[0.9935375,0.00217078,0.0004612022,0.0007305397,0.002101126,0.0009988942],"domain_scores_gemma":[0.9849306,0.005835473,0.001624066,0.001823301,0.003313599,0.002472907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001320069,0.00244097,0.2112303,0.00401794,0.0003811189,0.0008622031,0.06259146,0.001682778,0.006178208,0.1524789,0.04561561,0.5112004],"study_design_scores_gemma":[0.000197442,0.001601788,0.2904293,0.00255491,0.0003708925,0.0004989434,0.08351196,0.001071183,0.0066227,0.01986637,0.5930836,0.0001909952],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5349808,0.003914149,0.01547196,0.01337512,0.0004826527,0.001395324,0.002535831,0.000539801,0.4273044],"genre_scores_gemma":[0.8606594,0.00383333,0.01726732,0.002122452,0.00006950813,0.001183133,0.001640234,0.0002383758,0.1129863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03848964,"threshold_uncertainty_score":0.1287607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1033545982749087,"score_gpt":0.4303214284477745,"score_spread":0.3269668301728658,"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."}}