{"id":"W3209148155","doi":"10.5281/zenodo.3906443","title":"Institutional Research Data Management Services Capacity Survey INSIGHTS Report #1. RDM Support within Organizations: Budget, Structure, and Strategies","year":2020,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; York University; University of Guelph; University of Toronto; Queen's University; Portage College","funders":"","keywords":"RDM; Business; Data management; Research data; Survey data collection; Process management; Knowledge management; Computer science; Data science; Data curation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01976407,0.0004708971,0.0002832219,0.004706297,0.001641959,0.004581823,0.001431035,0.001084739,0.02599631],"category_scores_gemma":[0.05010191,0.0004683076,0.0002722535,0.01197917,0.0006914196,0.003278539,0.003365928,0.001266511,0.01197934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007206543,"about_ca_system_score_gemma":0.02291177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07839306,"about_ca_topic_score_gemma":0.08972835,"domain_scores_codex":[0.9772308,0.005911702,0.001951219,0.0007220413,0.01117284,0.003011501],"domain_scores_gemma":[0.9336823,0.01689773,0.01017837,0.003701344,0.0272496,0.008290711],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001458019,0.0003739551,0.08324433,0.0005596909,0.00002631167,0.00007269534,0.002056504,0.0006702709,0.0005156512,0.009459085,0.8180339,0.08484177],"study_design_scores_gemma":[0.00004904411,0.0001701213,0.1700992,0.0003347553,0.00002438843,0.0000895631,0.01218072,0.0007132008,0.002109221,0.001207384,0.8129509,0.0000715518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1371153,0.001207953,0.006096295,0.04466508,0.0004368346,0.003042551,0.4967092,0.001890282,0.3088365],"genre_scores_gemma":[0.3872436,0.002642915,0.0151726,0.008835321,0.0004523324,0.01076735,0.3844061,0.0009564084,0.1895234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9802359,"threshold_uncertainty_score":0.1558735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2228507700188296,"score_gpt":0.3584817277122533,"score_spread":0.1356309576934238,"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."}}