{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.007224875,0.0009715314,0.001267536,0.001463929,0.002905395,0.0008744408,0.005789644,0.0003820863,0.0001362209],"category_scores_gemma":[0.001811232,0.0009328995,0.0006962974,0.002409484,0.0002706249,0.004873006,0.003187591,0.001998675,0.0001334716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002551608,"about_ca_system_score_gemma":0.001602561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004828174,"about_ca_topic_score_gemma":0.00002899495,"domain_scores_codex":[0.9899378,0.001392702,0.003224484,0.0008117093,0.003017292,0.001616025],"domain_scores_gemma":[0.9917678,0.002117115,0.002202529,0.002356426,0.0004152997,0.001140818],"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":[0.0001506108,0.0003274834,0.006535659,0.00097501,0.0008080653,0.0002701649,0.03657782,0.01002984,0.0006928831,0.7966944,0.007182861,0.1397552],"study_design_scores_gemma":[0.002097151,0.0005113255,0.001637717,0.0000361712,0.00005861228,0.001755959,0.007612653,0.01914474,0.003709109,0.001930005,0.9601367,0.001369884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05382089,0.001806689,0.7867469,0.01341997,0.00741633,0.00663901,0.0004090095,0.00771971,0.1220215],"genre_scores_gemma":[0.8015442,0.0001644429,0.1751268,0.01516487,0.0005392432,0.002459573,0.0004155416,0.0001614207,0.004423839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9529538,"threshold_uncertainty_score":0.9995895,"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."}}