{"id":"W6893528136","doi":"10.5281/zenodo.3776974","title":"Spreading the Knowledge: Overviewing the University of Alberta Libraries' Research Data Management Services","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"RDM; Data management; Variety (cybernetics); Session (web analytics); Research data; Digital curation; Data management plan; Data curation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.006775721,0.0001157736,0.0001179855,0.00019782,0.01191269,0.01497008,0.0355078,0.00003367682,0.0006822933],"category_scores_gemma":[0.001086679,0.00008688452,0.00003368066,0.0007194738,0.0006400087,0.01982491,0.06386138,0.0004504146,0.001952451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006896613,"about_ca_system_score_gemma":0.00001029673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006307139,"about_ca_topic_score_gemma":0.0000263224,"domain_scores_codex":[0.9964132,0.001369115,0.0001857207,0.0006873557,0.0008594085,0.000485194],"domain_scores_gemma":[0.9923425,0.0003402029,0.0002208632,0.006532285,0.0004520351,0.0001121495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004370455,0.0001471409,0.00002239595,0.0003493227,0.0001933334,0.00003493811,0.004802302,0.00002380869,0.0001140561,0.6701707,0.1585815,0.1655168],"study_design_scores_gemma":[0.0002280507,0.00004695194,0.002489906,0.00007811545,0.00001504989,0.0000117549,0.001851383,0.00813297,0.0000351753,0.0006291969,0.9863877,0.00009374999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002353332,0.0005965873,0.0600265,0.02500352,0.0002240206,0.001483224,0.0001158049,0.0003477233,0.9098493],"genre_scores_gemma":[0.9601028,0.004570787,0.003916189,0.0001862908,0.0002587744,9.077841e-8,0.0008171707,0.0006900521,0.02945786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9577494,"threshold_uncertainty_score":0.9988247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1933169127088447,"score_gpt":0.3351508532309033,"score_spread":0.1418339405220586,"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."}}