{"id":"W7039609631","doi":"","title":"MODIFIKASI ALGORITMA J-BIT ENCODING UNTUK MENINGKATKAN RASIO KOMPRESI","year":2017,"lang":"id","type":"dissertation","venue":"UAJY Repository (University of Southampton)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Byte; Encoding (memory); Key (lock); Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005008305,0.001011822,0.0006542927,0.0006227248,0.0008195204,0.00234028,0.001186204,0.0008548541,0.01759178],"category_scores_gemma":[0.001876606,0.0003426688,0.0006535414,0.0009404935,0.0006286438,0.002666007,0.001176857,0.001181908,0.007811471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009934896,"about_ca_system_score_gemma":0.0009616824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00246111,"about_ca_topic_score_gemma":0.003181233,"domain_scores_codex":[0.999382,0.00006605108,0.00007118425,0.0001453393,0.0002359297,0.00009949048],"domain_scores_gemma":[0.9989271,0.0001717402,0.0000563717,0.0004793404,0.0003277033,0.00003783314],"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":[0.0009770502,0.0001647713,0.001274275,0.0004901653,0.00006910451,0.0004103109,0.0008062783,0.005229133,0.3142399,0.02637384,0.01982464,0.6301406],"study_design_scores_gemma":[0.00008553323,0.0004968059,0.002003293,0.0001398118,0.0001655972,0.00122291,0.0005249709,0.08246646,0.6650773,0.01106027,0.2366117,0.000145314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1133783,0.002234314,0.8040628,0.001357697,0.00163467,0.0004979745,0.001261551,0.022968,0.05260471],"genre_scores_gemma":[0.3045123,0.001619661,0.5396277,0.001313634,0.0003450522,0.0004300473,0.002235932,0.002287402,0.1476283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01759178,"threshold_uncertainty_score":0.05885035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126177525203629,"score_gpt":0.2147649837608668,"score_spread":0.2021472312405039,"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."}}