{"id":"W2324527833","doi":"10.1300/j201v03n04_07","title":"Uniform Archival Statistics: Shall We Try Again?","year":2006,"lang":"en","type":"article","venue":"Journal of Archival Organization","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Statistics; Data science; History; Information retrieval; Mathematics","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":[0.1484715,0.0009584333,0.002793876,0.005199654,0.006510037,0.01820244,0.003385151,0.01013659,0.009402432],"category_scores_gemma":[0.4133419,0.001647716,0.001224943,0.01150483,0.02908227,0.05003457,0.008330872,0.02487467,0.004945497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005614102,"about_ca_system_score_gemma":0.01569148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305013,"about_ca_topic_score_gemma":0.01812815,"domain_scores_codex":[0.912345,0.05343192,0.009171039,0.003520544,0.01964338,0.001888088],"domain_scores_gemma":[0.6681769,0.1996704,0.01656871,0.03844512,0.07056234,0.006576502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001596539,0.00006261656,0.002654118,0.0005733283,0.00009296339,0.00009717268,0.002277332,0.00052927,0.0001129898,0.2946575,0.5106251,0.1881581],"study_design_scores_gemma":[0.0001100285,0.0001159457,0.004550492,0.002450281,0.0001181237,0.0002350335,0.00430219,0.001354401,0.0005574148,0.6243296,0.3616696,0.0002068476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003205661,0.07386935,0.0848358,0.7946882,0.02263279,0.0001570183,0.001073418,0.001201247,0.01833657],"genre_scores_gemma":[0.2391737,0.09166237,0.1929224,0.3808241,0.06191523,0.001474629,0.002628042,0.00305702,0.02634247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1484715,"threshold_uncertainty_score":0.7852018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239910444209032,"score_gpt":0.1868305321532272,"score_spread":0.1744314277111369,"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."}}