{"id":"W7014196094","doi":"","title":"An ontology-based model for preservation workflows: Paper - iPRES 2012 - Digital Curation Institute, iSchool, Toronto","year":2012,"lang":"en","type":"article","venue":"Phaidra (Universität Wien)","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data curation; Digital curation; Digital preservation; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006077257,0.0007721786,0.0009987387,0.003848126,0.002843505,0.009267448,0.003082811,0.002402314,0.004536222],"category_scores_gemma":[0.009568221,0.001233781,0.003955939,0.004448878,0.002032017,0.00984968,0.003804156,0.00312783,0.00175622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00500256,"about_ca_system_score_gemma":0.01074574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07891753,"about_ca_topic_score_gemma":0.09150573,"domain_scores_codex":[0.995605,0.001074731,0.001004746,0.000776697,0.001198708,0.0003400767],"domain_scores_gemma":[0.994931,0.001664724,0.0004299633,0.001162698,0.001368863,0.0004427094],"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":[0.000293536,0.00065518,0.005263859,0.001043135,0.0003301286,0.001557144,0.00708425,0.1187348,0.008974747,0.6774134,0.0206039,0.1580459],"study_design_scores_gemma":[0.0001345005,0.00008268023,0.001626443,0.0007931343,0.0003967603,0.0006087758,0.002360688,0.4854101,0.006265548,0.2312214,0.2709074,0.0001925637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01020098,0.0002422775,0.9730347,0.002583396,0.0001750208,0.0006972561,0.002675803,0.002345537,0.008045029],"genre_scores_gemma":[0.1038595,0.0008113466,0.8795661,0.0004787887,0.00006140676,0.0006372186,0.00730471,0.0006395922,0.006641181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07891753,"threshold_uncertainty_score":0.1569164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05110362620416296,"score_gpt":0.2362495243151477,"score_spread":0.1851458981109848,"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."}}