{"id":"W4387217123","doi":"10.59697/jik.v5i1.307","title":"PENERAPAN ALGORITMA RIVEST SHAMIR ADLEMAN (RSA) UNTUK MENGAMANKAN DATABASE PROGRAM KELUARGA HARAPAN (PKH)","year":2021,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","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":"Computer science; Database","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001454114,0.00122269,0.001185088,0.0008085793,0.001222973,0.005012706,0.004113085,0.0003901906,0.0004299091],"category_scores_gemma":[0.0001325185,0.001251088,0.0006426087,0.003533867,0.0003239953,0.009453229,0.003196118,0.001846597,0.001413183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503431,"about_ca_system_score_gemma":0.001318277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001195628,"about_ca_topic_score_gemma":0.000101007,"domain_scores_codex":[0.9914799,0.0002522078,0.002186103,0.001405176,0.00216995,0.002506646],"domain_scores_gemma":[0.9940499,0.0002134089,0.0007536645,0.00274472,0.0007635896,0.00147474],"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":[0.00005153839,0.00158111,0.001252069,0.001221652,0.0005687544,0.001612745,0.02188088,0.007643697,0.002333713,0.01690013,0.02332507,0.9216287],"study_design_scores_gemma":[0.001662197,0.0007444309,0.008538275,0.0006696638,0.00008734532,0.001212402,0.000613269,0.6889396,0.00404781,0.0001493337,0.2915971,0.001738539],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4518861,0.004282419,0.4673765,0.007898834,0.01833583,0.003364407,0.0004455892,0.003603466,0.04280684],"genre_scores_gemma":[0.7433132,0.00239793,0.2348391,0.005968521,0.004429656,0.0003928349,0.0009693464,0.000265693,0.007423739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9198901,"threshold_uncertainty_score":0.9993643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095332909535596,"score_gpt":0.2623368502870094,"score_spread":0.2413835211916534,"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."}}