{"id":"W2039449361","doi":"10.7202/031037ar","title":"Building a Living Memory for the History of Our Present: New Perspectives on Archival Appraisal","year":2006,"lang":"en","type":"article","venue":"Journal of the Canadian Historical Association","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Work (physics); Information overload; Records management; National archives; Historical record; Archival science; History; Sociology; Public relations; Library science; Political science; Computer science; Law; Engineering; Biography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002781068,0.00007411812,0.0001310253,0.0001238561,0.0002197203,0.00003957148,0.000238687,0.00001264059,0.00001338123],"category_scores_gemma":[0.0003506735,0.00004640577,0.0002590087,0.00002592138,0.00001160806,0.0001295673,0.00001465675,0.000158348,0.000001508173],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02559221,"about_ca_system_score_gemma":0.0003802719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07096023,"about_ca_topic_score_gemma":0.05902636,"domain_scores_codex":[0.9991145,0.00004787615,0.0002566318,0.00007226289,0.0003582856,0.0001504674],"domain_scores_gemma":[0.998675,0.0005737588,0.0004827626,0.00007428565,0.0001186501,0.00007549563],"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":[0.00001901449,0.00007368992,0.00005078323,0.000009368361,0.00009372706,0.000001008233,0.005228607,0.000503975,0.000006933469,0.1765448,0.8148305,0.002637564],"study_design_scores_gemma":[0.0001608028,0.00009571128,0.004967617,0.00004157864,0.00007299639,0.00000130555,0.0003133456,0.0001095408,0.000001629782,0.01473981,0.9794283,0.0000673902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02546019,0.003690197,0.001820802,0.496404,0.04283378,0.001432209,0.0003787098,0.00005090482,0.4279292],"genre_scores_gemma":[0.7581611,0.000005302352,0.0001196822,0.0001490543,0.004015313,0.000003705465,9.304018e-7,0.00001070002,0.2375343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7327009,"threshold_uncertainty_score":0.9781484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505221588080905,"score_gpt":0.2113557905795878,"score_spread":0.1863035746987788,"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."}}