{"id":"W2172321838","doi":"","title":"Past Imperfect? Reflections on the Evolution of Canadian Federal Government Records Appraisal","year":2013,"lang":"en","type":"article","venue":"Archivaria (Association of Canadian Archivists)","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Context (archaeology); Government (linguistics); Political science; Library science; Imperfect; Sociology; Humanities; History; Art; Philosophy; Computer science; 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":[0.0002585106,0.0001799971,0.0002023155,0.0009660549,0.0006132817,0.0001731455,0.0003028326,0.00001909691,0.0006130881],"category_scores_gemma":[0.0001618699,0.0001502255,0.0001645186,0.0002711796,0.0001850876,0.0002162187,0.00003340254,0.0002121734,0.0001950552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008778211,"about_ca_system_score_gemma":0.000494156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8705239,"about_ca_topic_score_gemma":0.9386832,"domain_scores_codex":[0.998204,0.0001530404,0.000405536,0.0002302603,0.000518697,0.0004884463],"domain_scores_gemma":[0.9984087,0.0006358085,0.0002666496,0.0002481039,0.00008992273,0.0003508024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001044719,0.00006258085,0.0008972939,0.00001477411,0.0001500255,9.545037e-7,0.003878757,0.00002849409,0.00004511762,0.9312342,0.06119719,0.002480153],"study_design_scores_gemma":[0.000269643,0.0002455397,0.3928892,0.00005848369,0.00003254817,9.86853e-7,0.001180958,0.0001778913,0.00001831181,0.1666241,0.4382543,0.0002480294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04563196,0.000002213289,0.0000353284,0.01632273,0.0004883942,0.0004258006,0.001043756,0.00001918365,0.9360306],"genre_scores_gemma":[0.9884235,0.00001021673,0.0001422215,0.0008041946,0.000357235,0.00009181054,0.0001111311,0.0000215264,0.01003816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9427915,"threshold_uncertainty_score":0.6712885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986329269910726,"score_gpt":0.2078808365485029,"score_spread":0.1880175438493956,"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."}}