{"id":"W4200146827","doi":"10.15353/acmla.n169.4739","title":"Getting a Grip on Research Data Management","year":2021,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Alliance; RDM; Agency (philosophy); Pillar; Data management; Research data; Business; Key (lock); Engineering management; Process management; Knowledge management; Engineering; Political science; Data science; Computer science; Computer security; Database; Sociology; Data curation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4501592,0.002199359,0.003775218,0.02239104,0.03068544,0.09305396,0.01474991,0.02359438,0.02309819],"category_scores_gemma":[0.4991484,0.004490563,0.004021158,0.03722767,0.05551935,0.1076546,0.04421606,0.0685073,0.02175731],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0701182,"about_ca_system_score_gemma":0.2816142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1529264,"about_ca_topic_score_gemma":0.1115048,"domain_scores_codex":[0.5545927,0.1926258,0.04143152,0.02850323,0.1641072,0.01873961],"domain_scores_gemma":[0.2331585,0.290861,0.03184269,0.1611146,0.2168047,0.06621853],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000487912,0.00006618632,0.001333162,0.000651137,0.00007124538,0.00008338776,0.005739167,0.0002176743,0.0002778062,0.2599865,0.6134982,0.1180267],"study_design_scores_gemma":[0.00001929169,0.00001757373,0.00046035,0.001044971,0.00001761904,0.00005046781,0.003076409,0.0001435829,0.0001837054,0.03746483,0.9574543,0.00006686504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004886446,0.01419524,0.01974296,0.9312528,0.00716425,0.0001588978,0.0004746626,0.0009281534,0.02559434],"genre_scores_gemma":[0.03994838,0.07158642,0.1968635,0.5809097,0.03370288,0.002055572,0.004867962,0.003198748,0.06686693],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9298818,"threshold_uncertainty_score":0.6780517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006484887275206,"score_gpt":0.3142259006987792,"score_spread":0.2135774119712586,"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."}}