{"id":"W4224947000","doi":"10.46880/mtk.v8i1.919","title":"SISTEM PAKAR MENDIAGNOSA PENYAKIT COVID-19 DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR","year":2022,"lang":"en","type":"article","venue":"METHODIKA Jurnal Teknik Informatika dan Sistem Informasi","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Nausea; Headaches; Medicine; Disease; Infectious disease (medical specialty); Internal medicine; Surgery","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":[0.001076483,0.0006193955,0.000623922,0.0008467081,0.0006991352,0.002151114,0.0005001966,0.0004679726,0.01445001],"category_scores_gemma":[0.003003295,0.0002787845,0.0004715271,0.0007644075,0.0005201505,0.001485405,0.001029975,0.0006349952,0.003048504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000603876,"about_ca_system_score_gemma":0.001100568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559819,"about_ca_topic_score_gemma":0.002230835,"domain_scores_codex":[0.9992601,0.0001480329,0.00006339476,0.0002074846,0.0002472044,0.000073777],"domain_scores_gemma":[0.9991801,0.0003344407,0.0001127841,0.0000702724,0.0002517413,0.00005067385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001456296,0.0002454736,0.02585445,0.002142869,0.0002644204,0.001851236,0.001856932,0.01247226,0.02549465,0.07079773,0.0180658,0.839498],"study_design_scores_gemma":[0.000388827,0.001409973,0.05193227,0.001262016,0.0007467254,0.006237909,0.005049103,0.1320591,0.06555586,0.09830797,0.636565,0.0004851497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3699597,0.02475813,0.4034579,0.004737895,0.002194623,0.0006254001,0.003640239,0.005054263,0.185572],"genre_scores_gemma":[0.84241,0.00689063,0.1043874,0.0003343757,0.0003406123,0.0002982927,0.002228669,0.0002757868,0.0428343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01445001,"threshold_uncertainty_score":0.04834008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05012319211417533,"score_gpt":0.3131215876575574,"score_spread":0.2629983955433821,"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."}}