{"id":"W2998523709","doi":"10.3897/rio.5.e48809","title":"A survey of the state of research data services in 35 U.S. academic libraries, or \"Wow, what a sweeping question\"","year":2019,"lang":"en","type":"article","venue":"Research Ideas and Outcomes","topic":"Research Data Management Practices","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Metadata; Key (lock); World Wide Web; Data management plan; Scholarly communication; Section (typography); Survey data collection; State (computer science); Research data; Computer science; Business; Data science; Library science; Political science; Data management; Database; Data curation; Publishing","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":[0.04018619,0.0001381354,0.0003777284,0.0008995684,0.000185483,0.002250116,0.00945192,0.00007676469,0.00001763991],"category_scores_gemma":[0.006641244,0.00008527121,0.00002702316,0.003621297,0.0004838741,0.03353877,0.01742771,0.001339063,0.00001620607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000562265,"about_ca_system_score_gemma":0.0007972582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01430271,"about_ca_topic_score_gemma":0.006639095,"domain_scores_codex":[0.9899361,0.004925999,0.0005863815,0.0008218104,0.002871759,0.0008579187],"domain_scores_gemma":[0.986959,0.008778465,0.000194587,0.003350573,0.0005562606,0.0001611543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000164497,0.00009559697,0.9406174,0.001056694,0.00006527334,0.00001776409,0.0005467782,0.00002867937,0.0001644017,0.0273745,0.000377154,0.02949119],"study_design_scores_gemma":[0.0005456069,0.0001587104,0.9759605,0.0008505341,0.000001954255,0.000001607844,0.0005730574,0.01368364,0.0002050921,0.005405389,0.002501196,0.0001127142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839865,0.006018201,0.0002985005,0.00757985,0.0001614184,0.001510455,0.0001058023,0.00002803919,0.0003112505],"genre_scores_gemma":[0.9767044,0.0197203,0.0008147722,0.00008702935,0.00001428772,0.00002411848,0.0000311943,0.00001653811,0.002587362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03534303,"threshold_uncertainty_score":0.9987856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.343278609328356,"score_gpt":0.5010898364592404,"score_spread":0.1578112271308844,"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."}}