{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001769715,0.00002037343,0.00002659734,0.000006672952,0.0008542301,0.0000479619,0.0001258865,0.000005124052,0.0003380146],"category_scores_gemma":[0.00006462385,0.00001406303,0.00001840338,0.00009670436,0.00008196301,0.0001068067,0.00007011129,0.00005892344,0.00001186135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002509239,"about_ca_system_score_gemma":0.00008337267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001912245,"about_ca_topic_score_gemma":0.00005580043,"domain_scores_codex":[0.9995673,0.0000436694,0.00007465464,0.00004334191,0.0001866706,0.00008440115],"domain_scores_gemma":[0.999796,0.00008964988,0.00003362647,0.00004903571,0.00001252094,0.00001911875],"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":[0.000007061943,0.00001021637,0.0008350472,2.57336e-7,0.000006042618,4.115153e-7,0.004533356,0.00001095936,0.00003444903,0.8080654,0.16724,0.0192568],"study_design_scores_gemma":[0.00003044156,0.00001251958,0.00132287,5.098819e-7,0.000001050918,3.359781e-7,0.003643162,0.00001143087,0.00001028038,0.04187319,0.9530711,0.00002316469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01503767,0.00003499904,0.0001644584,0.03407535,0.0004653683,0.0001807446,0.00001748352,0.00002602011,0.9499979],"genre_scores_gemma":[0.9366443,0.000008178336,0.0000268341,0.00003017002,0.0000455787,0.000009845498,0.000009298235,0.000001330518,0.06322452],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9216066,"threshold_uncertainty_score":0.6570134,"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."}}