{"id":"W4392814056","doi":"10.18665/sr.320420","title":"The Research Data Services Landscape at US and Canadian Higher Education Institutions","year":2024,"lang":"en","type":"report","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Research data; Business; Regional science; Geography; Data science; Computer science; Data curation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02426724,0.0005266249,0.000554973,0.01478448,0.01408,0.01622443,0.002709769,0.001240132,0.004298555],"category_scores_gemma":[0.05915903,0.0007043506,0.0008077029,0.03821248,0.004062284,0.00439859,0.00549142,0.001482014,0.0007481552],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1452272,"about_ca_system_score_gemma":0.3188927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9729484,"about_ca_topic_score_gemma":0.9858931,"domain_scores_codex":[0.9469699,0.00791373,0.002823223,0.002604885,0.02880228,0.01088597],"domain_scores_gemma":[0.8382783,0.02417315,0.0137001,0.005045364,0.08314119,0.03566189],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002962113,0.0001700215,0.2781623,0.002933658,0.0002447147,0.0006492471,0.04605257,0.002193144,0.004090465,0.07391068,0.137827,0.4534701],"study_design_scores_gemma":[0.00002125726,0.000108563,0.3597392,0.00184771,0.0001178027,0.0003073718,0.07908333,0.001025454,0.001571214,0.002660594,0.5532439,0.0002735743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.541155,0.03259813,0.006008617,0.1064309,0.0004687626,0.001313646,0.03292643,0.001454571,0.2776439],"genre_scores_gemma":[0.9044411,0.02643904,0.02131765,0.008750039,0.0001795753,0.0004862243,0.00933767,0.0003454508,0.02870329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9837756,"threshold_uncertainty_score":0.9914153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4485939347502049,"score_gpt":0.5056170649023294,"score_spread":0.05702313015212451,"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."}}