{"id":"W2915840552","doi":"10.5334/kula.51","title":"Open Social Knowledge Creation and Library and Archival Metadata","year":2019,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Metadata; Cataloging; World Wide Web; Standardization; Computer science; Work (physics); Folksonomy; Resource (disambiguation); Geospatial metadata; Knowledge management; Data science; Library science; Metadata repository; Meta Data Services; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001792142,0.0001867005,0.0002527355,0.0001885209,0.0005822158,0.001312956,0.0001497717,0.00001916431,0.0001362313],"category_scores_gemma":[0.00006760465,0.0001618779,0.00002995253,0.00008506644,0.0002962622,0.004769443,0.0005956599,0.00006934247,0.00002488849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001033675,"about_ca_system_score_gemma":0.00001660948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000680164,"about_ca_topic_score_gemma":0.00002531,"domain_scores_codex":[0.9989992,0.00009348732,0.000283922,0.0003649537,0.0001257887,0.0001325886],"domain_scores_gemma":[0.99915,0.0004362482,0.0001238772,0.0001070381,0.0001235731,0.00005919579],"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":[0.00005153411,0.0001181764,0.001959198,0.0002526286,0.0001314793,2.214891e-7,0.05846648,2.619994e-7,0.00003120178,0.8781857,0.007412507,0.0533906],"study_design_scores_gemma":[0.0007013573,0.00009233419,0.2791102,0.0001774227,0.0001000758,0.000001632434,0.006650187,0.0009319387,0.00006742324,0.07447966,0.6373813,0.0003065668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1909817,0.001262993,0.00004809758,0.0029175,0.0001478107,0.0006170261,0.00008647449,0.00007186265,0.8038666],"genre_scores_gemma":[0.7163006,0.0007547789,0.00009308828,0.00008078502,0.0001822759,0.00009007446,0.0005822021,0.00001527015,0.2819009],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.803706,"threshold_uncertainty_score":0.9997238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0766492670390707,"score_gpt":0.3344625024062553,"score_spread":0.2578132353671846,"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."}}