{"id":"W4384573799","doi":"10.59697/jsik.v6i2.187","title":"PENERAPAN ALGORITMA FIXED LENGTH BINARY ENCODING (FLBE) KOMPRESI CITRA","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":"Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001900668,0.0009353898,0.0009244367,0.0009284368,0.002758672,0.001936615,0.005011117,0.0002180171,0.000276014],"category_scores_gemma":[0.00004775729,0.001013622,0.0007603348,0.002906175,0.000162167,0.004061044,0.004459383,0.001869518,0.000146315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008586036,"about_ca_system_score_gemma":0.0008094746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000589387,"about_ca_topic_score_gemma":0.000008910552,"domain_scores_codex":[0.9922088,0.0002518902,0.001748669,0.001218813,0.002458678,0.002113082],"domain_scores_gemma":[0.9963841,0.0002785802,0.0006990458,0.001547002,0.0002334728,0.000857729],"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":[0.0002249221,0.001239769,0.002905366,0.001001543,0.0006982785,0.002434755,0.03842809,0.3239758,0.01187432,0.02258008,0.01954513,0.575092],"study_design_scores_gemma":[0.001180053,0.0009706531,0.004856505,0.0001619872,0.00004905006,0.001133473,0.0006866044,0.5655568,0.001174086,0.00005863198,0.422861,0.0013111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6708638,0.006607065,0.1791231,0.007357261,0.03961611,0.002691537,0.0000794945,0.00273651,0.09092517],"genre_scores_gemma":[0.9798509,0.0002258661,0.006819044,0.001352027,0.001211894,0.0001266026,0.00003482959,0.00008238212,0.01029641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5737809,"threshold_uncertainty_score":0.9992314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710262864551259,"score_gpt":0.2166492956883619,"score_spread":0.1995466670428493,"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."}}