{"id":"W2236382079","doi":"10.55601/jsm.v16i2.243","title":"Aplikasi Penyembunyian Pesan pada Citra dengan Metode AES Kriptografi dan Enhanced LSB Steganografi","year":2015,"lang":"id","type":"article","venue":"Jurnal SIFO Mikroskil","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Computer science","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":[0.0005732452,0.0008073447,0.0005365816,0.0007121432,0.0006024328,0.002295212,0.0006590947,0.001019895,0.01492977],"category_scores_gemma":[0.00120035,0.0003209255,0.0004772758,0.0006926546,0.000467241,0.00284034,0.00105951,0.001044362,0.005965597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006267366,"about_ca_system_score_gemma":0.0005154636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039981,"about_ca_topic_score_gemma":0.001229481,"domain_scores_codex":[0.9993505,0.00007815078,0.0000527709,0.0001418082,0.0002983056,0.00007847589],"domain_scores_gemma":[0.9992225,0.0001688419,0.0000712355,0.0001587945,0.0003441937,0.00003432724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001116219,0.0001120109,0.003051476,0.001099813,0.0001062942,0.001074793,0.0006227927,0.005734915,0.5464176,0.01333653,0.01260715,0.4147205],"study_design_scores_gemma":[0.00008183251,0.0009639853,0.005340256,0.000230245,0.0001743742,0.003471407,0.000703112,0.03302675,0.6520283,0.007014457,0.2967877,0.0001776705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2822761,0.01624256,0.5258154,0.004302222,0.002035725,0.0006973489,0.002301375,0.01005964,0.1562695],"genre_scores_gemma":[0.7027475,0.00664163,0.1218438,0.001284958,0.0003574629,0.0002511308,0.001552666,0.0007930843,0.1645279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01492977,"threshold_uncertainty_score":0.04994506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685298150625879,"score_gpt":0.2462183155467066,"score_spread":0.2193653340404478,"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."}}