{"id":"W4206003048","doi":"10.7202/1084739ar","title":"Archival Interventions and Disentangling Legacy Records","year":2022,"lang":"en","type":"article","venue":"Archivaria","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Université du Québec à Montréal","funders":"","keywords":"Discoverability; Records management; Government (linguistics); Library science; National archives; Psychological intervention; Historical record; Archival science; Function (biology); Electronic records; Political science; Genealogy; History; Public administration; Public relations; World Wide Web; Law; Computer science; Medicine; Biography; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007949241,0.00008404346,0.00008479934,0.0001078897,0.0007020864,0.0002253853,0.0001420646,0.000001050745,0.0009282727],"category_scores_gemma":[0.000006771128,0.00008106669,0.0001065265,0.00002159231,0.000149069,0.0002426389,0.0003823154,0.0001301554,0.00003113651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001080247,"about_ca_system_score_gemma":0.000009089577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007617272,"about_ca_topic_score_gemma":0.00001116249,"domain_scores_codex":[0.9993101,0.00005218587,0.0001603354,0.0001796575,0.0001439614,0.0001537286],"domain_scores_gemma":[0.9997117,0.0000817868,0.00004071062,0.0001041971,0.000004962886,0.00005664183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000212875,0.0001435381,0.00007837448,0.00002696297,0.00004611269,0.00001421809,0.003673869,0.00001839878,0.000002809545,0.964875,0.001838487,0.02926093],"study_design_scores_gemma":[0.0001832199,0.0001397041,0.008434583,0.00001783024,0.00002239205,0.00001041154,0.001031429,0.0003223256,6.496668e-7,0.791526,0.1981946,0.000116875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04220166,0.00001869851,0.0002672939,0.001190929,0.0005235857,0.0001374552,0.0002088746,0.00006934211,0.9553822],"genre_scores_gemma":[0.9881955,0.000005352783,0.00026362,0.000263273,0.0002391769,0.00006899209,0.0001535114,0.00001211701,0.01079841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9459939,"threshold_uncertainty_score":0.999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04559966970172311,"score_gpt":0.237339328504404,"score_spread":0.1917396588026808,"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."}}