{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0214397,0.0004112329,0.0006266446,0.009081591,0.01485649,0.02571694,0.002199008,0.002923686,0.007805268],"category_scores_gemma":[0.03087878,0.0004399941,0.0004965086,0.007969226,0.08716221,0.02817759,0.01650888,0.002830762,0.0007220068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01329342,"about_ca_system_score_gemma":0.01098873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005655975,"about_ca_topic_score_gemma":0.004599744,"domain_scores_codex":[0.9821584,0.0120281,0.0007239574,0.001378043,0.002765443,0.0009460329],"domain_scores_gemma":[0.951839,0.03287901,0.003979891,0.00717198,0.002183849,0.001946285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007662002,0.00002044126,0.000467228,0.00007026346,0.000005207396,0.00006037842,0.03921673,0.00009603811,0.0000540818,0.9435086,0.0009915963,0.01550181],"study_design_scores_gemma":[0.00001673027,0.00002208909,0.001041476,0.0003385319,0.000009190172,0.0001603337,0.04862963,0.000437868,0.0002991671,0.8235478,0.1254723,0.00002487844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1310762,0.01254636,0.05923623,0.06040671,0.0006655699,0.0002588754,0.0001739808,0.0003887069,0.7352474],"genre_scores_gemma":[0.9744465,0.002374358,0.005204725,0.001045342,0.0003975766,0.0001735501,0.00007221898,0.00008310863,0.01620254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.974283,"threshold_uncertainty_score":0.1133853,"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."}}