{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.006644574,0.0001647016,0.0001270204,0.0007025863,0.001151321,0.01392605,0.008132693,0.0001303583,0.0001155403],"category_scores_gemma":[0.0003594562,0.0001068198,0.00001884627,0.00105564,0.0001620037,0.01176931,0.01229656,0.0007760965,0.0004715313],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005884818,"about_ca_system_score_gemma":0.01357336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5090386,"about_ca_topic_score_gemma":0.829205,"domain_scores_codex":[0.9959717,0.0002595757,0.0002439589,0.00109912,0.001828449,0.0005971541],"domain_scores_gemma":[0.993865,0.0004875535,0.00007829228,0.004647372,0.0005575782,0.0003641758],"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":[8.339391e-7,0.00001129804,0.0004817916,0.0002591865,0.00007338632,0.00004624062,0.00001615195,5.628812e-7,5.692037e-7,0.2725664,0.7161809,0.01036262],"study_design_scores_gemma":[0.00001987582,0.00001079954,0.003069959,0.00009939635,0.00001831445,0.00003123691,0.00004587607,0.0004825576,6.734722e-7,0.0007630753,0.9953331,0.0001251728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001458293,0.01673253,0.00006475607,0.05165317,0.002803905,0.0005480953,0.000209994,0.00008500595,0.9277567],"genre_scores_gemma":[0.0123062,0.06562813,0.001245351,0.0005047729,0.000814016,0.0001651161,0.00231103,0.00003083363,0.9169946],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3201664,"threshold_uncertainty_score":0.9972338,"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."}}