{"id":"W4283831618","doi":"10.21083/partnership.v17i1.6779","title":"Practices Before Policy: Research Data Management Behaviours in Canada","year":2022,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; Western University; University of Toronto; University of British Columbia; Queen's University; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"RDM; Data management plan; Multidisciplinary approach; Agency (philosophy); Data management; Funding Agency; Knowledge management; Service (business); Survey data collection; Science policy; Data science; Public relations; Political science; Business; Computer science; Sociology; Marketing; Public administration; Social science; Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["metaresearch","scholarly_communication"],"category_scores_codex":[0.04842509,0.00007678913,0.0001420464,0.001966863,0.00183889,0.002159507,0.002407862,0.00002795907,0.0003117353],"category_scores_gemma":[0.008552262,0.00005212469,0.00001550722,0.002551056,0.0003016494,0.03022426,0.001601342,0.001493954,0.00000949653],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253485,"about_ca_system_score_gemma":0.009358189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7087664,"about_ca_topic_score_gemma":0.8033792,"domain_scores_codex":[0.9911366,0.004295151,0.0007654846,0.0001881036,0.00310317,0.0005114647],"domain_scores_gemma":[0.9931442,0.004535339,0.0007036559,0.0007828641,0.00029443,0.0005395166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003291632,0.00003653996,0.01351522,0.00004332275,0.00006163336,0.0003685639,0.009354684,0.000165816,1.163536e-7,0.4344621,0.4528935,0.08876935],"study_design_scores_gemma":[0.0002171277,0.0001103158,0.0132849,0.00001310633,0.000007786695,0.000126004,0.1305202,0.0002690391,0.000001112473,0.007223979,0.8481755,0.00005092919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08236357,0.001303594,0.000008272597,0.8022877,0.0002930928,0.0007008534,0.000281847,0.000003785431,0.1127573],"genre_scores_gemma":[0.9911385,0.000686089,0.0001445617,0.006057878,0.0001160074,0.00001539845,0.00006989393,0.000005801122,0.001765935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9087749,"threshold_uncertainty_score":0.9997991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4575505585273796,"score_gpt":0.5160546254667507,"score_spread":0.0585040669393711,"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."}}