{"id":"W3198261062","doi":"10.1108/gkmc-04-2021-0066","title":"National archives, records and the coronavirus pandemic: a comparative thematic analysis of initial international responses to COVID-19","year":2021,"lang":"en","type":"article","venue":"Global Knowledge Memory and Communication","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National archives; Thematic analysis; Documentation; Political science; Coronavirus disease 2019 (COVID-19); Pandemic; Public relations; Public administration; History; Library science; Sociology; Qualitative research; Law; Medicine; Social science","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":[0.0008040785,0.0001158923,0.0002852779,0.0001487601,0.0002191602,0.0001625451,0.0007717055,0.00003580562,0.00001154797],"category_scores_gemma":[0.001114027,0.00009621796,0.00008271173,0.0008537139,0.0002545123,0.0002911649,0.0009440465,0.0001191964,0.000003991242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134348,"about_ca_system_score_gemma":0.0004738378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009106164,"about_ca_topic_score_gemma":0.001536113,"domain_scores_codex":[0.9982847,0.0007771908,0.0003408318,0.0002620984,0.0002297092,0.0001054736],"domain_scores_gemma":[0.9958913,0.003075145,0.0001484798,0.0005340273,0.0002414822,0.000109559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001422645,0.0004737959,0.01724191,0.0001186909,0.001690754,0.00000807459,0.04798508,0.0007904022,0.0003273581,0.7912741,0.0002909164,0.1383763],"study_design_scores_gemma":[0.009115159,0.000283218,0.2964744,0.000512658,0.001024344,0.0002970529,0.008563184,0.4400407,0.0008040312,0.220613,0.02108655,0.001185632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6397914,0.008548571,0.2505834,0.01013514,0.0002854704,0.0007632385,0.0002662643,0.0001628875,0.0894637],"genre_scores_gemma":[0.9951079,0.0001492946,0.003421423,0.001078779,0.00001450329,0.00003382416,0.00003658265,0.000002138461,0.0001555738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.570661,"threshold_uncertainty_score":0.3923655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345159867851545,"score_gpt":0.4377028872052812,"score_spread":0.3031869004201267,"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."}}