{"id":"W4406124839","doi":"10.21083/partnership.v19i2.7753","title":"Implementing and Learning from a Summer Research Data Management Training Program for Student Researchers","year":2025,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Training (meteorology); Computer science; Medical education; Medicine; Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02735608,0.0006301816,0.0005429033,0.001176347,0.009770092,0.00604848,0.005148215,0.001143376,0.008112041],"category_scores_gemma":[0.03093807,0.0006459065,0.00064566,0.001789876,0.003636871,0.001760468,0.009385139,0.002625868,0.002537868],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01920706,"about_ca_system_score_gemma":0.11779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07042233,"about_ca_topic_score_gemma":0.222386,"domain_scores_codex":[0.9804667,0.01039563,0.0005200466,0.001386935,0.002629315,0.00460141],"domain_scores_gemma":[0.9456437,0.008092638,0.00288707,0.004130925,0.009582429,0.02966315],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005371823,0.00540402,0.02901912,0.000995707,0.00003499963,0.000982854,0.205276,0.000561052,0.005315375,0.003042476,0.05120524,0.697626],"study_design_scores_gemma":[0.000365361,0.005245145,0.08057824,0.001404941,0.00009309471,0.000980186,0.3587305,0.001187635,0.008645053,0.00394358,0.5386035,0.0002227362],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8611588,0.001062743,0.01892538,0.02756677,0.0008666022,0.005985741,0.0006313815,0.002445307,0.08135721],"genre_scores_gemma":[0.8755833,0.001275453,0.07590684,0.006456952,0.000375238,0.003876721,0.0007173864,0.0002582645,0.03554979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9939515,"threshold_uncertainty_score":0.1446745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4669673596238413,"score_gpt":0.5187757188643073,"score_spread":0.05180835924046601,"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."}}