{"id":"W4404592961","doi":"10.62951/switch.v2i4.192","title":"Penerapan Algoritma Linier Congruent Method Pada Pengacakan Soal Ujian Berbasis Online di SD Muhammadiyah Sei Cabang","year":2024,"lang":"en","type":"article","venue":"Switch Jurnal Sains dan Teknologi Informasi","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cheating; Computer science; Process (computing); Set (abstract data type); Mathematics education; Psychology; Operating system; Programming language","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":[0.001792218,0.0008592202,0.0008122947,0.001068117,0.0008868719,0.001860156,0.0008850346,0.0006385691,0.02762154],"category_scores_gemma":[0.004724675,0.0002883116,0.0006026616,0.0009843155,0.0005013812,0.001936586,0.001082228,0.0007789336,0.005700332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004153148,"about_ca_system_score_gemma":0.00131002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343038,"about_ca_topic_score_gemma":0.001354663,"domain_scores_codex":[0.9983501,0.0005253013,0.0001738185,0.0003693087,0.0004833097,0.00009804547],"domain_scores_gemma":[0.9982492,0.0008932272,0.0001243028,0.0002268145,0.0004348802,0.00007157115],"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":[0.0008412733,0.0002615507,0.002175099,0.0005288319,0.00005507135,0.0002141762,0.0003960919,0.005833418,0.01586789,0.01196626,0.006294992,0.9555655],"study_design_scores_gemma":[0.0008690797,0.001946595,0.01144296,0.0005524702,0.0003358301,0.003747633,0.001457392,0.5621788,0.1313345,0.04698665,0.2388316,0.0003165063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05551571,0.001986286,0.9142078,0.0006377504,0.0005221027,0.0007424899,0.0003606807,0.004001892,0.02202532],"genre_scores_gemma":[0.2543617,0.001317066,0.7222654,0.0002431021,0.000209028,0.0006007162,0.0005460415,0.0003561538,0.02010076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02762154,"threshold_uncertainty_score":0.09240323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650316555496327,"score_gpt":0.2980536655451665,"score_spread":0.2815504999902033,"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."}}