{"id":"W2375863014","doi":"10.14404/jksarm.2012.12.2.051","title":"A Study on Evaluation of National Archives Websites","year":2012,"lang":"en","type":"article","venue":"Journal of Korean Society of Archives and Records Management","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National archives; Political science; Library science; State (computer science); Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155476,0.00007847683,0.0001963188,0.0002093455,0.00006211597,0.00001248831,0.0003579601,0.00001966215,0.000005574378],"category_scores_gemma":[0.00001885671,0.00005810393,0.000184027,0.0001601172,0.000118215,0.0002294148,0.000212734,0.0001166889,5.510318e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009404613,"about_ca_system_score_gemma":0.00002912901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001344372,"about_ca_topic_score_gemma":6.984628e-7,"domain_scores_codex":[0.9987586,0.0001149366,0.0003482985,0.0001070094,0.0005615018,0.0001096959],"domain_scores_gemma":[0.9991251,0.0001465021,0.0004531724,0.0001735219,0.00005706561,0.00004462705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001287387,0.003950856,0.2221416,0.0001805317,0.003758445,0.000003818387,0.02401455,0.0004528047,0.0009238104,0.05869899,0.009206248,0.6765395],"study_design_scores_gemma":[0.001555658,0.001011165,0.9280292,0.0001263103,0.0003327015,0.0000153552,0.008127323,0.01007811,0.0006122264,0.04919165,0.0007817407,0.0001385767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8910296,0.0007122273,0.09533603,0.001440804,0.0002125106,0.0003072072,0.000008508478,0.00001550458,0.01093758],"genre_scores_gemma":[0.9385574,0.000469325,0.06078895,0.00004280424,0.00005303379,0.00000215609,0.000001404724,0.000002647599,0.00008228924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7058876,"threshold_uncertainty_score":0.236941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484816956966967,"score_gpt":0.303942835992005,"score_spread":0.2690946664223353,"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."}}