{"id":"W4384573869","doi":"10.59697/jsik.v6i2.198","title":"Penerapan Sistem Pakar Menentukan Covid-19 Dengan Metode KNN (K Nearest Neighbor) Berbasis Web (Studi Kasus : RSU Sylvani)","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Physics; Humanities; Gynecology; Philosophy; Medicine","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":[0.002439731,0.0009275285,0.001072594,0.001728506,0.001721093,0.004493691,0.001167396,0.001412975,0.02360887],"category_scores_gemma":[0.005373452,0.0005597653,0.0009707332,0.002704031,0.0005042771,0.004316837,0.002654266,0.001249445,0.02544108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055124,"about_ca_system_score_gemma":0.002419596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01569135,"about_ca_topic_score_gemma":0.01442437,"domain_scores_codex":[0.9974468,0.0005068695,0.000306132,0.0005842148,0.0009204358,0.0002355218],"domain_scores_gemma":[0.9971614,0.000776797,0.000276409,0.0005092707,0.001042156,0.0002340382],"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":[0.001012316,0.0003150626,0.04610348,0.002803726,0.0002518372,0.0008219617,0.002014205,0.004082937,0.00980133,0.01218728,0.1826525,0.7379534],"study_design_scores_gemma":[0.000120644,0.0004384646,0.048794,0.00115154,0.000340095,0.002224958,0.005011837,0.0523907,0.01921256,0.01644175,0.8535817,0.0002917747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2153375,0.0288708,0.295384,0.01182352,0.002934432,0.003503614,0.09298803,0.03782011,0.3113379],"genre_scores_gemma":[0.4638679,0.01788595,0.2353861,0.002001491,0.0006242768,0.001177534,0.1048012,0.002641144,0.1716143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02360887,"threshold_uncertainty_score":0.07897949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722516996720489,"score_gpt":0.2831244929497159,"score_spread":0.2558993229825109,"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."}}