{"id":"W7134163549","doi":"10.1109/bigdata66926.2025.11401002","title":"Archival Research Theory: Putting Smart Technology to Work for Researchers","year":2025,"lang":"","type":"article","venue":"","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Bank of Canada","funders":"","keywords":"Work (physics); Key (lock); Information technology; Big data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002982804,0.0003138964,0.0003623831,0.00255289,0.002133566,0.001397979,0.00110949,0.00004842507,0.0005739682],"category_scores_gemma":[0.0008424582,0.0002784849,0.0002382002,0.001084209,0.00183667,0.0002450028,0.001421687,0.0007194213,0.0006572185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344692,"about_ca_system_score_gemma":0.0002456179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004700447,"about_ca_topic_score_gemma":0.00004458481,"domain_scores_codex":[0.9960692,0.0002928994,0.0005488385,0.0009071,0.0006500038,0.001531973],"domain_scores_gemma":[0.995903,0.002798456,0.00004760053,0.0005788446,0.0004259005,0.0002461891],"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":[0.0004892003,0.0002957078,0.0000410707,0.0002069575,0.0002678522,0.000007141202,0.001384884,0.00001054164,0.00000719836,0.673256,0.05289308,0.2711403],"study_design_scores_gemma":[0.0002620234,0.0003669736,0.0006435832,0.0003311382,0.00001868361,2.324381e-7,0.003265715,0.00003445608,0.00004870168,0.5411066,0.4537793,0.0001425966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005178875,0.0001205282,0.007424077,0.06385023,0.0006208236,0.002322951,0.0001346432,0.0001512156,0.9201967],"genre_scores_gemma":[0.5689617,0.0000267112,0.002857289,0.0008820769,0.0003613414,0.000634239,0.00003280792,0.00003236491,0.4262114],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5637829,"threshold_uncertainty_score":0.9999667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1392320482366274,"score_gpt":0.369472874337351,"score_spread":0.2302408261007236,"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."}}