{"id":"W2789253917","doi":"10.1080/19386389.2018.1443698","title":"Open Metadata for Research Data Discovery in Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Library Metadata","topic":"Research Data Management Practices","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia; York University; Ontario Council of University Libraries; Simon Fraser University","funders":"","keywords":"Metadata; Data discovery; Computer science; Data science; Reuse; Data management plan; Data curation; Research data; World Wide Web; Open data; Best practice; Open research; Data element; Linked data; Metadata repository; Data management; Database; Semantic Web; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.01400431,0.000153961,0.0004716971,0.0004331112,0.0004669631,0.0689137,0.09825505,0.00003100956,0.00001965499],"category_scores_gemma":[0.007361839,0.0001192254,0.00004324171,0.0004284112,0.00009604825,0.7197832,0.0667804,0.0007081606,0.000002219812],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162816,"about_ca_system_score_gemma":0.007403214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3277601,"about_ca_topic_score_gemma":0.353491,"domain_scores_codex":[0.9954494,0.0007692177,0.000796102,0.0007397425,0.001616789,0.0006287892],"domain_scores_gemma":[0.9858527,0.001860672,0.001004818,0.01089138,0.0001315369,0.0002588785],"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":[0.000331509,0.0002056187,0.008749963,0.000106776,0.0003850111,0.001294557,0.00001977496,0.00001599283,0.0001047786,0.2612883,0.7080519,0.0194458],"study_design_scores_gemma":[0.001076303,0.0001142151,0.01486369,0.0001042697,0.0000251324,0.00003710146,0.0001365872,0.002772083,0.0004614952,0.004698176,0.9755265,0.0001844407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01487199,0.005656214,0.6375987,0.3072928,0.004093208,0.004107232,0.007411054,0.00003207245,0.01893674],"genre_scores_gemma":[0.2352493,0.01274414,0.6842716,0.002144723,0.00137436,0.00006478711,0.001425539,0.0001240194,0.06260154],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6508695,"threshold_uncertainty_score":0.9982239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6762589410535437,"score_gpt":0.5244379087475245,"score_spread":0.1518210323060192,"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."}}