{"id":"W2930813675","doi":"10.1002/asi.24209","title":"The Design and Use of Assessment Frameworks in Digital Curation","year":2019,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Vienna Science and Technology Fund","keywords":"Computer science; Maturity (psychological); Process (computing); Field (mathematics); Management science; Process management; Data science; Knowledge management; Engineering; Psychology","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004814065,0.00002998932,0.0000640149,0.0003718816,0.0001457367,0.001691931,0.0007748532,0.00005651733,9.358367e-8],"category_scores_gemma":[0.006235573,0.00001693251,0.00001186728,0.001007344,0.00008983295,0.07026821,0.0002909373,0.0001969433,4.550078e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208984,"about_ca_system_score_gemma":0.0001629949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001160423,"about_ca_topic_score_gemma":8.20104e-7,"domain_scores_codex":[0.9989709,0.00002533384,0.00029849,0.0000485821,0.0005515271,0.000105227],"domain_scores_gemma":[0.9973583,0.0007326676,0.0009194102,0.0001802456,0.0007959051,0.00001346566],"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":[0.00001030304,0.00001367666,0.04725757,0.000008143214,0.00001303717,5.57094e-8,0.0002133606,0.0004634745,0.0002477297,0.8938549,0.0002531158,0.05766469],"study_design_scores_gemma":[0.002078594,0.0009245808,0.234209,0.0001294791,0.00002008842,0.00003342966,0.002192103,0.4458499,0.002733642,0.1441188,0.1674756,0.000234854],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2114231,0.00002618376,0.7542874,0.03278555,0.0003665753,0.0007058305,0.000002839615,0.00001138714,0.0003910444],"genre_scores_gemma":[0.9909334,0.0001715613,0.008759679,0.00007538551,0.000002998573,0.000003668564,1.837318e-7,5.992153e-7,0.00005259126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7795102,"threshold_uncertainty_score":0.9993444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324276229058409,"score_gpt":0.3353938078140222,"score_spread":0.3021510455234381,"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."}}