{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424507,0.0006774602,0.0007393707,0.001141118,0.001544431,0.003628094,0.0005543853,0.0009887604,0.02293743],"category_scores_gemma":[0.002040668,0.0002400372,0.0005020732,0.001223143,0.0008307382,0.001459245,0.00189331,0.001559224,0.01042185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125015,"about_ca_system_score_gemma":0.003930866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007004748,"about_ca_topic_score_gemma":0.007892178,"domain_scores_codex":[0.9987826,0.0002373245,0.0001193113,0.000251693,0.0003761157,0.0002330365],"domain_scores_gemma":[0.9985002,0.0002732129,0.0001803483,0.0001488169,0.0006817025,0.0002156807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008481173,0.0006081423,0.07873186,0.001989572,0.000158926,0.002079501,0.001985007,0.001743982,0.007117255,0.03532526,0.2118691,0.6575434],"study_design_scores_gemma":[0.0000963253,0.0004470512,0.06835994,0.0008426755,0.0002180659,0.0030397,0.003368541,0.005271284,0.006169165,0.007973138,0.9040921,0.0001218802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2326263,0.03061662,0.03768836,0.02645893,0.007363753,0.00101203,0.01285158,0.008909253,0.6424732],"genre_scores_gemma":[0.7398708,0.02319332,0.04220051,0.004352293,0.001721584,0.0005461074,0.02032928,0.000697533,0.1670886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02293743,"threshold_uncertainty_score":0.07673341,"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."}}