{"id":"W2036119693","doi":"10.1007/bf02437692","title":"Evaluating metadata on a metalevel","year":2001,"lang":"en","type":"article","venue":"Archives and Museum Informatics","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Cultural heritage; Identification (biology); Computer science; Work (physics); World Wide Web; Information retrieval; Engineering; History; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007719662,0.0001198788,0.0001227688,0.0001090402,0.0002487581,0.0003817016,0.00012824,0.000004121464,0.0000855652],"category_scores_gemma":[0.00001651833,0.0000879612,0.00005371142,0.00001859208,0.0001755956,0.0007930675,0.0001042753,0.00007583473,0.00006875966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002478844,"about_ca_system_score_gemma":0.000009059148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009443012,"about_ca_topic_score_gemma":0.000008823994,"domain_scores_codex":[0.9992937,0.00001283777,0.0002617626,0.00007934147,0.0001778493,0.0001744695],"domain_scores_gemma":[0.9995596,0.0001365742,0.00007701341,0.0001493405,0.000008948614,0.00006849708],"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":[0.00002094166,0.00005368656,0.000007225153,0.00003922355,0.00005798176,0.000002155283,0.01225663,0.00003748265,0.00000229225,0.8577154,0.0003623721,0.1294447],"study_design_scores_gemma":[0.000526799,0.0004637088,0.00274081,0.00009153936,0.000054949,0.00001646143,0.003516133,0.01085757,0.000007355253,0.1175678,0.8638839,0.000272973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08460971,0.00001273359,0.0007686549,0.0005423407,0.0001017763,0.0002253834,0.00008809019,0.00005455088,0.9135967],"genre_scores_gemma":[0.9790862,0.0001451252,0.003716109,0.002015001,0.0001837737,0.00004267812,0.0001355293,0.00001288579,0.01466276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.898934,"threshold_uncertainty_score":0.3680757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166216228685967,"score_gpt":0.2789759488324051,"score_spread":0.1623543259638084,"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."}}