{"id":"W4206346886","doi":"10.7202/1084738ar","title":"The Art of Digital Curation","year":2022,"lang":"en","type":"article","venue":"Archivaria","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stewardship (theology); Digital curation; Cultural heritage; Museology; Digital media; Digital art; Data curation; Museum informatics; Visual arts; New media; Sociology; World Wide Web; Art; Computer science; Political science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003937086,0.000633717,0.0005462898,0.003699041,0.01302305,0.02194991,0.001683133,0.002648235,0.01419504],"category_scores_gemma":[0.007872851,0.0004236547,0.000537778,0.003990153,0.04813266,0.01710839,0.01669696,0.003655374,0.002769956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005253342,"about_ca_system_score_gemma":0.005264899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004451358,"about_ca_topic_score_gemma":0.005641903,"domain_scores_codex":[0.9933972,0.003030302,0.0002304824,0.0009432444,0.001817895,0.0005808966],"domain_scores_gemma":[0.9943205,0.002933373,0.0003233624,0.001682149,0.0003392913,0.0004013379],"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":[0.00002002607,0.00001390506,0.000601422,0.0002263171,0.00001283428,0.000221598,0.05210787,0.0002268037,0.0003543774,0.8863214,0.01254021,0.04735324],"study_design_scores_gemma":[0.000007027956,0.00001177601,0.0004542656,0.0004777431,0.000007785821,0.0003773741,0.01503881,0.0001348997,0.0003897857,0.1578821,0.8251998,0.0000185775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02283018,0.01689729,0.02455946,0.01817559,0.0008510274,0.00007403161,0.0001391121,0.0003742746,0.916099],"genre_scores_gemma":[0.7862487,0.0199567,0.01716994,0.004303306,0.001013845,0.0002680606,0.0001533986,0.0006742257,0.1702119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9780501,"threshold_uncertainty_score":0.04748708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345046786846042,"score_gpt":0.2778139519955576,"score_spread":0.2433092733109535,"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."}}