{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003911349,0.001390456,0.001500087,0.0008815197,0.007180587,0.002444354,0.005626386,0.0003713194,0.0003845711],"category_scores_gemma":[0.0006943506,0.001471626,0.0009789013,0.003315421,0.0003928261,0.00193912,0.004888671,0.003076344,0.0005517374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002242749,"about_ca_system_score_gemma":0.003290399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005702298,"about_ca_topic_score_gemma":0.0003487538,"domain_scores_codex":[0.9887915,0.001255586,0.002708447,0.001967196,0.003001553,0.002275711],"domain_scores_gemma":[0.9910589,0.001087579,0.002142248,0.00314284,0.0004366749,0.002131733],"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":[0.001200033,0.005305561,0.04463466,0.003002198,0.004658767,0.001588197,0.05332591,0.07746691,0.003288993,0.2350452,0.2333671,0.3371165],"study_design_scores_gemma":[0.002675887,0.001039853,0.004969866,0.0001015804,0.0004009671,0.00100569,0.002665176,0.05231119,0.0001413359,0.00008540726,0.9330223,0.00158073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5125159,0.01493142,0.05683452,0.1047556,0.02186152,0.01125576,0.003708736,0.009058705,0.2650778],"genre_scores_gemma":[0.9523714,0.0004332608,0.004275154,0.008261862,0.0008969627,0.000899045,0.000772207,0.0002109126,0.03187926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6996552,"threshold_uncertainty_score":0.9998846,"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."}}