{"id":"W3209571917","doi":"10.5281/zenodo.4570030","title":"Institutional Research Data Management Services Capacity Survey INSIGHTS Report #2 Current Capacity within Institutions: Highly Qualified Personnel, and Infrastructure and Services","year":2021,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Toronto; University of Victoria; York University; University of Guelph; Queen's University","funders":"","keywords":"Business; Capacity management; Survey data collection; Computer science","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":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.01511085,0.0005311262,0.0005634155,0.001335457,0.006341332,0.01927972,0.008799481,0.00027913,0.0002053995],"category_scores_gemma":[0.003222623,0.0005271622,0.00005224794,0.002319646,0.001033992,0.01738551,0.034765,0.002081381,0.0001867391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007375748,"about_ca_system_score_gemma":0.0002162887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002671173,"about_ca_topic_score_gemma":0.0003534234,"domain_scores_codex":[0.9877152,0.003320425,0.0009847847,0.00293727,0.004191355,0.00085101],"domain_scores_gemma":[0.9902264,0.0002315698,0.0007307726,0.004404235,0.003843235,0.0005638161],"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":[0.0003381873,0.001908745,0.0006722533,0.03500343,0.003221074,0.004382443,0.01928846,0.0003473841,0.0004242766,0.4898171,0.2871305,0.1574661],"study_design_scores_gemma":[0.0004553552,0.00008962298,0.009853649,0.0006851586,0.00005544007,0.001236266,0.001017732,0.001602542,0.00001429479,0.000427529,0.9840391,0.0005232933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2953146,0.02658189,0.1353881,0.008341439,0.009840365,0.0129024,0.03249155,0.005915861,0.4732238],"genre_scores_gemma":[0.5816941,0.1467395,0.02587221,0.0004914928,0.002447942,0.000007090815,0.2301051,0.003195571,0.009447042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6969086,"threshold_uncertainty_score":0.999718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3223392772057505,"score_gpt":0.377606394244221,"score_spread":0.05526711703847054,"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."}}