{"id":"W7065523663","doi":"","title":"Digital preservation, archives management, format migration, transformation, at scale, normalization: Paper - iPRES 2012 - Digital Curation Institute, iSchool, Toronto","year":2012,"lang":"en","type":"article","venue":"Phaidra (Universität Wien)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Data curation; Digital curation; Workflow; XML; DSPACE; Process (computing); Digital preservation; Data management; Metadata","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003851035,0.0002383092,0.0001522305,0.0001048425,0.0006009666,0.0003642131,0.000218076,0.00004624321,0.002943803],"category_scores_gemma":[0.000006242655,0.0002457349,0.0001243784,0.0001907208,0.0000782428,0.8818281,0.0001100488,0.00008462014,0.000562601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115395,"about_ca_system_score_gemma":0.00002496835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411014,"about_ca_topic_score_gemma":0.0002779036,"domain_scores_codex":[0.9988363,0.00001827788,0.0003128133,0.0002095188,0.0002538277,0.0003692693],"domain_scores_gemma":[0.9991938,0.00005832468,0.0001647934,0.0002652038,0.0001155048,0.0002023439],"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":[0.0000668813,0.0003735789,0.003061284,0.00004279269,0.0001452808,9.006792e-7,0.003047728,0.000950266,0.00003639901,0.9816719,0.001842624,0.008760321],"study_design_scores_gemma":[0.001359613,0.00005426781,0.001014691,0.00005926945,0.0001378893,0.000008195126,0.003513957,0.002504383,0.00005935253,0.0433768,0.9473956,0.0005159472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007129327,0.00004948945,0.7321033,0.0003405518,0.000385901,0.0003225846,0.0002399178,0.00007540163,0.2593535],"genre_scores_gemma":[0.9747016,0.00005953721,0.0004192726,0.00006538013,0.0003271296,0.00002925291,0.002622235,0.00002070147,0.02175487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9675723,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00741532515350003,"score_gpt":0.2102408994950161,"score_spread":0.2028255743415161,"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."}}