{"id":"W2226850782","doi":"","title":"ENCODED ARCHIVAL DESCRIPTION WORKING GROUP, SOCIETY OF AMERICAN ARCHIVISTS, and NETWORK DEVELOPMENT AND MARC STANDARDS OFFICE, LIBRARY OF CONGRESS, Encoded Archival Description Tag Library. Version 2002","year":2003,"lang":"en","type":"article","venue":"Archivaria","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Library of congress; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005125817,0.0005334708,0.000428924,0.006922639,0.004736771,0.01021254,0.001338078,0.001693348,0.1561333],"category_scores_gemma":[0.02446743,0.0007402682,0.0001774067,0.01115871,0.001124638,0.007813549,0.002717878,0.003080321,0.07926615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006508902,"about_ca_system_score_gemma":0.01321122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07110868,"about_ca_topic_score_gemma":0.08913597,"domain_scores_codex":[0.9955164,0.000932237,0.0006285241,0.0002159923,0.002409088,0.0002978287],"domain_scores_gemma":[0.98364,0.001993134,0.0008041848,0.002261445,0.01079573,0.0005055146],"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":[0.0000332034,0.00001726092,0.0002120051,0.000101709,0.000001298816,0.00001757007,0.0004668832,0.00004688856,0.0002393624,0.01907544,0.9430039,0.03678458],"study_design_scores_gemma":[0.00000575035,0.000006754562,0.001236666,0.0002599518,0.000002642991,0.00003983917,0.0007030465,0.000125292,0.0005089311,0.002808232,0.9942868,0.00001599489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.003677961,0.002330402,0.01845363,0.01568153,0.004931778,0.0009834954,0.1162545,0.003236088,0.8344507],"genre_scores_gemma":[0.01915864,0.00318013,0.01505582,0.001336613,0.000439142,0.001089199,0.0806732,0.001828569,0.8772387],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1561333,"threshold_uncertainty_score":0.5223179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115637067404446,"score_gpt":0.2100980773066989,"score_spread":0.1889417066326544,"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."}}