{"id":"W1787189438","doi":"","title":"Moments of Risk: Identifying Threats to Electronic Records","year":2007,"lang":"en","type":"article","venue":"Archivaria","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01115047,0.0003895758,0.00041785,0.008133975,0.004917706,0.01222412,0.001686468,0.003661753,0.00499929],"category_scores_gemma":[0.09653652,0.0004393348,0.0005044799,0.00511214,0.005059626,0.01411385,0.008646802,0.003334323,0.0008876637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004666897,"about_ca_system_score_gemma":0.003031576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003835071,"about_ca_topic_score_gemma":0.006048809,"domain_scores_codex":[0.9857598,0.006852872,0.001101388,0.0008067983,0.004303502,0.001175537],"domain_scores_gemma":[0.8946976,0.05690895,0.03183225,0.005837976,0.008046313,0.002676844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009474086,0.0002338927,0.3938477,0.0006050059,0.00008771221,0.003440896,0.248742,0.001254927,0.00203625,0.1281394,0.01245253,0.2082122],"study_design_scores_gemma":[0.00003408015,0.0005147957,0.2715551,0.001583684,0.0001067071,0.005716435,0.5324253,0.008915748,0.003838783,0.08114531,0.09387909,0.000284964],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848364,0.002583347,0.01928383,0.01677304,0.0002698543,0.0003604612,0.0006213202,0.0002899504,0.07498174],"genre_scores_gemma":[0.9878882,0.0007457101,0.006048147,0.0004696873,0.0001115443,0.0001196705,0.0001164598,0.00003446422,0.004466301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01222412,"threshold_uncertainty_score":0.05896997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305004402481781,"score_gpt":0.2532458850674406,"score_spread":0.2201958410426228,"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."}}