{"id":"W3167946370","doi":"10.1088/1755-1315/778/1/012021","title":"Modeling the effectiveness of the PSBB based on COVID-19 case in Greater Surabaya Area","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Case fatality rate; Coronavirus disease 2019 (COVID-19); Geography; Population; Government (linguistics); Quarter (Canadian coin); Social distance; Socioeconomics; Business; Demography; Medicine; Sociology; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.001634143,0.00009487227,0.0001102277,0.00004091949,0.0008199512,0.000110716,0.0002365486,0.00003649697,0.0003764166],"category_scores_gemma":[0.0005095406,0.00005991495,0.0000465911,0.0003563435,0.001745492,0.0002894923,0.0001103287,0.0001099046,0.000002539169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033273,"about_ca_system_score_gemma":0.0006180804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002832942,"about_ca_topic_score_gemma":0.005331348,"domain_scores_codex":[0.9983735,0.0005562196,0.0001294479,0.0002762426,0.0004041686,0.0002604224],"domain_scores_gemma":[0.9993139,0.0002280077,0.00003929899,0.000239652,0.0000131584,0.00016598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001286777,0.0008783389,0.5269479,0.0003544677,0.00003791152,0.0009814352,0.07576109,0.1463585,0.1761176,0.04127489,0.00002441928,0.02997663],"study_design_scores_gemma":[0.002668477,0.0004291523,0.7489933,0.0004058282,0.00004313299,0.000267504,0.04888566,0.1064299,0.08248842,0.003581461,0.004902702,0.0009044855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962409,0.00002440839,0.0002444236,0.001452566,0.00009315317,0.0002172438,0.0000198744,0.000007623523,0.001699841],"genre_scores_gemma":[0.9991528,0.00004880943,0.00001974898,0.0005941374,0.000007472409,0.000008737975,0.000001491375,0.000002663746,0.0001641112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2220454,"threshold_uncertainty_score":0.6431337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060008601873007,"score_gpt":0.2923008350561689,"score_spread":0.2517007490374388,"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."}}