{"id":"W2617597628","doi":"10.1371/journal.pone.0178261","title":"Research data management in academic institutions: A scoping review","year":2017,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Research Data Management Practices","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Carleton University; University of Toronto","funders":"","keywords":"Data management; Data quality; Data collection; Data sharing; Data curation; Data science; Stakeholder; Psychological intervention; Data element; Research design; Knowledge management; Metadata; Computer science; Medicine; Political science; Engineering; Public relations; World Wide Web; Database; Sociology; Operations management; Social science; Metric (unit); Alternative medicine","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":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.02015797,0.0003556329,0.00170158,0.001498296,0.0004367517,0.002814791,0.03597315,0.0001987055,0.00002351943],"category_scores_gemma":[0.005829882,0.0003203492,0.00008873404,0.001992885,0.000212801,0.03054821,0.03550202,0.002867382,0.001226007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437317,"about_ca_system_score_gemma":0.001311679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000536731,"about_ca_topic_score_gemma":0.00005518724,"domain_scores_codex":[0.9910957,0.001914535,0.001159359,0.002042575,0.002822537,0.0009652493],"domain_scores_gemma":[0.9846984,0.0008594667,0.0006712484,0.01343602,0.0001489242,0.000185947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[4.783509e-7,0.000244701,4.28259e-7,0.369239,0.0002447912,0.0001833685,0.000002526247,2.953029e-8,1.274046e-8,0.02365426,0.001630025,0.6048004],"study_design_scores_gemma":[0.00005214295,0.00001003219,4.821011e-7,0.4870763,0.0001936514,0.000002276391,0.000001082768,0.00003518412,4.307276e-8,0.00005847196,0.5124093,0.0001610181],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.669869e-8,0.9691039,0.00136759,0.001468729,0.0000678731,0.007716419,0.00004282278,0.00008639904,0.02014624],"genre_scores_gemma":[3.823917e-8,0.9803587,0.01541881,0.0001084217,0.0001193304,0.001537367,0.0003795165,0.00002720107,0.002050678],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6046394,"threshold_uncertainty_score":0.9999248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9400748228732019,"score_gpt":0.6471055609402162,"score_spread":0.2929692619329857,"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."}}