{"id":"W4377837265","doi":"10.2352/issn.2168-3204.2012.9.1.art00014","title":"Building On OAIS: Processing Born-Digital Records Using Archivematica","year":2012,"lang":"en","type":"article","venue":"Archiving Conference","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dashboard; World Wide Web; Open source; Computer science; Architecture; Web application; Database; Digital Archives; Geography; Operating system; Archaeology","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":[0.0001069688,0.0002103614,0.000179136,0.0001618954,0.0004227033,0.0007847722,0.0002611488,0.000007409802,0.0001491661],"category_scores_gemma":[0.00005327871,0.0001803032,0.00008386684,0.00003548337,0.0002791893,0.00116099,0.0001486668,0.0001690171,0.0001559735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002215839,"about_ca_system_score_gemma":0.00004203579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002438759,"about_ca_topic_score_gemma":0.000006314975,"domain_scores_codex":[0.9987012,0.0000298998,0.0002550698,0.0002435309,0.0002737442,0.0004965914],"domain_scores_gemma":[0.9993338,0.0001972159,0.0001081607,0.0001750869,0.0000310649,0.0001546601],"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":[0.00001395438,0.0001785315,0.0002656965,0.00009218981,0.00002768763,0.000003126872,0.006143606,0.00001575987,0.00005855689,0.841404,0.0001483095,0.1516486],"study_design_scores_gemma":[0.0006216247,0.0004488333,0.03315198,0.003097981,0.0001113213,0.00004311305,0.002266778,0.02135639,0.0001962828,0.7716176,0.1654312,0.001656901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.260707,0.00001356109,0.01051655,0.0001789944,0.000289231,0.0001591607,0.00005961231,0.0001365214,0.7279394],"genre_scores_gemma":[0.9940424,0.000002618229,0.003474784,0.0002262678,0.0006279935,0.00001534318,0.00002319912,0.00002588436,0.001561526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7333354,"threshold_uncertainty_score":0.7567576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07774912262464444,"score_gpt":0.2572676066714764,"score_spread":0.179518484046832,"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."}}