{"id":"W4389741301","doi":"10.31294/swabumi.v11i2.15965","title":"Implementasi MERN Stack pada Pengembangan Sistem Penerimaan Peserta Didik Baru","year":2023,"lang":"ms","type":"article","venue":"Swabumi","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Muhammadiyah Surakarta; Ministère de l'Énergie et des Ressources Naturelles","keywords":"Baru; Stack (abstract data type); Computer science; Operating system; Theology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002747382,0.001193727,0.0006833373,0.001188418,0.001129891,0.004680232,0.001347508,0.001007136,0.01618898],"category_scores_gemma":[0.006066592,0.0007289512,0.001055159,0.00107461,0.000662485,0.006044762,0.001785848,0.001929543,0.008085007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116896,"about_ca_system_score_gemma":0.002773142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00543385,"about_ca_topic_score_gemma":0.00624962,"domain_scores_codex":[0.9969408,0.000477744,0.0002302158,0.0004009625,0.001561682,0.0003885724],"domain_scores_gemma":[0.9939335,0.001410871,0.0003056714,0.001536454,0.002440798,0.000372628],"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":[0.001693403,0.001506221,0.03193999,0.002684306,0.0002592943,0.0007496751,0.005431343,0.003442707,0.1586886,0.02237368,0.03422577,0.7370049],"study_design_scores_gemma":[0.0002865963,0.00248296,0.07904609,0.001206039,0.0009614102,0.001959235,0.005398925,0.03041404,0.2610563,0.01776869,0.5989572,0.0004625838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4572147,0.004122923,0.2775576,0.002736542,0.0005356629,0.002133908,0.003708119,0.05025465,0.2017359],"genre_scores_gemma":[0.633649,0.003702861,0.218022,0.0008086169,0.000130901,0.001367726,0.006636756,0.005588333,0.1300938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01618898,"threshold_uncertainty_score":0.05415756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321243593025697,"score_gpt":0.3037733516439957,"score_spread":0.2705609157137387,"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."}}