{"id":"W3163710176","doi":"10.37396/jsc.v4i1.108","title":"Kajian Sistem Deteksi Dini pada saat Pandemi COVID-19","year":2021,"lang":"en","type":"article","venue":"Jurnal Sistem Cerdas","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Warning system; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Computer security; Medical emergency; History; Engineering; Computer science; Medicine; Telecommunications; Virology; Infectious disease (medical specialty); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008547682,0.0003039613,0.0004596672,0.0001816486,0.0004590804,0.000335793,0.001468738,0.0003075303,0.00006223899],"category_scores_gemma":[0.0007084645,0.0002896396,0.0002661289,0.0009915422,0.0001159083,0.0004557256,0.000599345,0.0004286981,0.0002389001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006175386,"about_ca_system_score_gemma":0.0008677078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000039197,"about_ca_topic_score_gemma":0.0002555916,"domain_scores_codex":[0.9966571,0.0003372173,0.0007462325,0.0008448655,0.0008477363,0.0005668469],"domain_scores_gemma":[0.9970577,0.0007065531,0.0003566295,0.00120265,0.0002699153,0.0004065259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004027494,0.0005063405,0.1627075,0.0006191721,0.0006012741,0.003871861,0.002404331,0.0006295411,0.01323016,0.7516606,0.02521199,0.03851697],"study_design_scores_gemma":[0.002161853,0.0002628947,0.03974066,0.0003547229,0.00008936931,0.005272457,0.0008833323,0.008861896,0.01189334,0.01897214,0.9099094,0.001597948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3149292,0.007918761,0.4781031,0.1038021,0.01017246,0.001601054,0.00005150022,0.005024855,0.07839698],"genre_scores_gemma":[0.9848941,0.00004028648,0.005778903,0.003313714,0.000321866,0.00005429467,0.00001008083,0.00002854007,0.005558218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8846974,"threshold_uncertainty_score":0.9999556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846262284130525,"score_gpt":0.2917752542596598,"score_spread":0.2533126314183546,"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."}}