{"id":"W1888439473","doi":"","title":"Metadata for research data: current practices and trends","year":2014,"lang":"en","type":"article","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metadata; Data element; Meta Data Services; Identifier; Metadata repository; Computer science; Geospatial metadata; World Wide Web; Interoperability; Database catalog; Controlled vocabulary; Information retrieval; Database","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":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.01593098,0.00009467015,0.0001228228,0.0004029914,0.0002861353,0.008871323,0.006545404,0.00002217024,0.00001249994],"category_scores_gemma":[0.009631132,0.00007280549,0.00001381127,0.0006825248,0.0000956287,0.1044612,0.008427713,0.0002609839,0.00002251102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001372125,"about_ca_system_score_gemma":0.00004504211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001550721,"about_ca_topic_score_gemma":0.0001602621,"domain_scores_codex":[0.9968884,0.0005863723,0.000182642,0.001027492,0.000832937,0.0004821572],"domain_scores_gemma":[0.9922652,0.003400355,0.0001824715,0.003812247,0.0001789722,0.0001607555],"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":[0.000007253162,0.0000516193,0.00005667746,0.00003816497,0.00001845764,6.641437e-7,0.00001283882,2.549642e-7,0.00002922977,0.5578493,0.05776023,0.3841752],"study_design_scores_gemma":[0.0002321133,0.0001078726,0.0005913351,0.000005824884,0.000009078579,0.000002085172,0.00002788564,0.06764226,0.00006441195,0.002224477,0.9290028,0.00008990736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001720944,0.0006327069,0.9598049,0.02159343,0.0002065628,0.0002767197,0.00003714754,0.0000849463,0.01719152],"genre_scores_gemma":[0.09849063,0.008955766,0.8317086,0.0006003191,0.001033928,0.0003414387,0.0009212603,0.00004817744,0.05789995],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8712425,"threshold_uncertainty_score":0.9995919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7633875666266337,"score_gpt":0.60711621885971,"score_spread":0.1562713477669236,"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."}}