{"id":"W7143863137","doi":"10.24619/00000788","title":"How could archival metadata be successfully shared?: an international survey of online union catalogs","year":2008,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Union catalog; Database catalog; Metadata repository; Meta Data Services; Geospatial metadata; Data sharing; National archives","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01291085,0.0001733893,0.0004022188,0.01322367,0.003788562,0.01197968,0.00112747,0.001031633,0.008284837],"category_scores_gemma":[0.0465067,0.0003283015,0.0003149201,0.03182893,0.002700203,0.01632654,0.004049848,0.001087185,0.001309394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002789059,"about_ca_system_score_gemma":0.006060896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159027,"about_ca_topic_score_gemma":0.01633397,"domain_scores_codex":[0.9926882,0.002964432,0.001051089,0.0005568653,0.002061279,0.0006781615],"domain_scores_gemma":[0.9437103,0.0301505,0.01218179,0.004003379,0.006817795,0.003136166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001489846,0.0001450747,0.5966763,0.0009697419,0.00007271837,0.0001964274,0.07075854,0.0001352687,0.0004605582,0.02070736,0.01650858,0.2932204],"study_design_scores_gemma":[0.00001059116,0.0001043243,0.4278671,0.002032505,0.00009142832,0.00065584,0.272932,0.0004321745,0.0007676957,0.003507934,0.2915446,0.00005374496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825811,0.01991027,0.002056014,0.01073032,0.0001138213,0.0001048359,0.001760223,0.0001893848,0.08255398],"genre_scores_gemma":[0.9801049,0.01064191,0.001762498,0.001053122,0.00007791558,0.00005056929,0.001241425,0.00007548453,0.004992279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9880203,"threshold_uncertainty_score":0.06827986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08276081728698866,"score_gpt":0.2922618271695561,"score_spread":0.2095010098825674,"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."}}