{"id":"W2804583692","doi":"10.2218/ijdc.v12i2.579","title":"Mobilising a Nation: RDM Training and Education in South Africa","year":2018,"lang":"en","type":"article","venue":"International Journal of Digital Curation","topic":"Research Data Management Practices","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"RDM; Digital curation; Research data; Service (business); Data curation; Library science; Subject (documents); Political science; Public relations; Sociology; World Wide Web; Business; Computer science; Pedagogy; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0071721,0.0003238577,0.0004052074,0.001147928,0.01191755,0.004647875,0.00142561,0.003231028,0.01517376],"category_scores_gemma":[0.008434664,0.0005188959,0.0002997904,0.001428576,0.003456607,0.007129545,0.01369319,0.003522052,0.001987571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007144855,"about_ca_system_score_gemma":0.03656303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01427979,"about_ca_topic_score_gemma":0.0352361,"domain_scores_codex":[0.9962426,0.001900706,0.0001475528,0.0002484432,0.0003597364,0.001100976],"domain_scores_gemma":[0.9936395,0.00102085,0.0003370475,0.0001613402,0.0003573738,0.004483906],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001236857,0.001259428,0.01863727,0.002190246,0.00001654022,0.004143585,0.5481099,0.0002139452,0.003133347,0.03206135,0.09095556,0.2991551],"study_design_scores_gemma":[0.00003262478,0.0002453627,0.01723094,0.002677124,0.000008464335,0.0008469837,0.3254011,0.0001567883,0.0006299171,0.003984681,0.6487471,0.00003895013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4479389,0.02340433,0.001776535,0.3827001,0.002515848,0.0006053389,0.000244766,0.0001648031,0.1406494],"genre_scores_gemma":[0.8710933,0.01706692,0.007087667,0.0281991,0.0003093953,0.0007809623,0.0002588346,0.00007812033,0.07512572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9953521,"threshold_uncertainty_score":0.05183977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1215193561133712,"score_gpt":0.3809431055941397,"score_spread":0.2594237494807685,"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."}}