{"id":"W2081079851","doi":"10.1108/10650750110383622","title":"Report from the trenches – the 8th International Dublin Core Metadata Initiative Workshop","year":2001,"lang":"en","type":"article","venue":"OCLC Systems & Services","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Documentation; RDF; Standardization; World Wide Web; Library science; Computer science; Citation; Core (optical fiber); Process (computing); Semantic Web; Telecommunications","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001197872,0.0001869604,0.000218608,0.00007425552,0.0003921788,0.003125403,0.004597168,0.00006795197,0.00005338596],"category_scores_gemma":[0.00005168131,0.00009245646,0.00008427458,0.0008324491,0.00007042075,0.01107535,0.0005802313,0.0001514079,0.0002364759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000304131,"about_ca_system_score_gemma":0.0001160853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507203,"about_ca_topic_score_gemma":0.0002133817,"domain_scores_codex":[0.9975997,0.0001718425,0.0006986142,0.0003947026,0.0008756514,0.0002595349],"domain_scores_gemma":[0.997165,0.0005123246,0.0006483432,0.001349508,0.000246695,0.00007811502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007878758,0.0002507679,0.2449063,0.0001604416,0.001390699,0.0006923957,0.209239,0.002532202,0.0002328711,0.2256289,0.294232,0.02065558],"study_design_scores_gemma":[0.0002667478,0.00001724898,0.02097347,0.0001931659,0.000009390469,0.0003944124,0.02612926,0.1090391,0.00005664083,0.0005488585,0.8421108,0.0002609481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4695608,0.01024216,0.149929,0.1338803,0.0366478,0.003477915,0.0003994581,0.001571038,0.1942916],"genre_scores_gemma":[0.9905241,0.00007924982,0.0002902687,0.004639514,0.0008794176,0.00006766545,0.0001485991,0.000007471252,0.003363696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5478787,"threshold_uncertainty_score":0.9979094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0683290219243538,"score_gpt":0.272612108150109,"score_spread":0.2042830862257552,"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."}}