{"id":"W4384573884","doi":"10.59697/jsik.v6i2.186","title":"Jaringan Syaraf Tiruan Untuk Memprediksi Pasien Rawat Inap Menggunakan Metode Backpropagation (Studi Kasus : Rsud DR. RM. Djoelham Binjai)","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Gynecology; Medicine; Physics","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":[0.001623092,0.00111351,0.0007187346,0.0008106364,0.0007557109,0.002828457,0.0007772708,0.001724353,0.02005074],"category_scores_gemma":[0.004140669,0.0003478425,0.0005414183,0.0009261377,0.0005975586,0.002736598,0.001241565,0.002351729,0.01358145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012208,"about_ca_system_score_gemma":0.00133159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006473394,"about_ca_topic_score_gemma":0.006102058,"domain_scores_codex":[0.9992161,0.000165901,0.0000405709,0.0002409129,0.0002672572,0.00006912289],"domain_scores_gemma":[0.9988087,0.0005129414,0.00006494098,0.00006611511,0.0004472065,0.0001001552],"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":[0.0004124107,0.0002495862,0.003501535,0.0006746959,0.0001248777,0.0002111341,0.0005488753,0.009705063,0.007616172,0.00837812,0.06997555,0.8986021],"study_design_scores_gemma":[0.0002221069,0.001132554,0.02172709,0.001914047,0.0004430108,0.001700826,0.001854533,0.2044259,0.05141236,0.04066656,0.6742459,0.0002551242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1797547,0.1173754,0.3817029,0.07058707,0.0095116,0.0007744165,0.002310433,0.005328635,0.2326548],"genre_scores_gemma":[0.4556031,0.06675383,0.1140531,0.005302134,0.002496371,0.0004156155,0.002543689,0.001377147,0.351455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02005074,"threshold_uncertainty_score":0.06707639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639709592389417,"score_gpt":0.2215162930753951,"score_spread":0.2051191971515009,"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."}}