{"id":"W2009293775","doi":"10.2218/ijdc.v8i1.237","title":"A Digital Archives Framework for the Preservation of Cultural Artifacts with Technological Components","year":2013,"lang":"en","type":"article","venue":"International Journal of Digital Curation","topic":"Music and Audio Processing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Embodied cognition; Computer science; Performative utterance; Readability; Digital preservation; Digitization; Intelligibility (philosophy); World Wide Web; Data science; Knowledge management; Aesthetics; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006108504,0.0009866543,0.0009066897,0.007281884,0.005223549,0.02065155,0.004971988,0.004042873,0.008542029],"category_scores_gemma":[0.006943894,0.0008043952,0.002313938,0.007404882,0.01292747,0.0227712,0.01083326,0.004469407,0.002558995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00513225,"about_ca_system_score_gemma":0.006882258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009884418,"about_ca_topic_score_gemma":0.009313523,"domain_scores_codex":[0.9956684,0.001834591,0.0005648955,0.0006282863,0.0009798696,0.0003239205],"domain_scores_gemma":[0.994618,0.001618401,0.000540563,0.001888114,0.0007788016,0.0005562626],"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":[0.0000108181,0.00001534385,0.0001059872,0.0001016652,0.000006504616,0.0001988727,0.001742799,0.0008686972,0.0001823559,0.9872009,0.000777967,0.008788181],"study_design_scores_gemma":[0.00002684852,0.00003158732,0.0002127504,0.0004290399,0.00004551264,0.0008199564,0.003083043,0.006703174,0.0007977529,0.7305316,0.2572713,0.00004753219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007580864,0.004654643,0.8628668,0.004866642,0.0004039905,0.0005174475,0.0007164623,0.001303768,0.1170895],"genre_scores_gemma":[0.2149396,0.00576986,0.7299988,0.0009039521,0.0005020038,0.001203179,0.001601641,0.0006504477,0.04443046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02065155,"threshold_uncertainty_score":0.03723723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03866406578836133,"score_gpt":0.2793536446947726,"score_spread":0.2406895789064112,"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."}}