{"id":"W6894242007","doi":"10.5683/sp/d89usp","title":"Research Data Management (RDM) Survey of Queen's University's Faculty of Health Sciences, 2017","year":2018,"lang":"en","type":"dataset","venue":"QSpace (Queen's University Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Research data; Health management system; Data management; Order (exchange); Health data; Health services; Health services research","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"],"consensus_categories":[],"category_scores_codex":[0.006554806,0.001088127,0.00132332,0.005410676,0.001232059,0.002818028,0.002956891,0.001363992,0.02091612],"category_scores_gemma":[0.03739466,0.0009009337,0.0008815549,0.01385264,0.0005097929,0.001519948,0.002934239,0.001876972,0.02409681],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006904747,"about_ca_system_score_gemma":0.01662569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1691219,"about_ca_topic_score_gemma":0.1866107,"domain_scores_codex":[0.9938431,0.001168796,0.001232425,0.0008516636,0.002277185,0.0006268815],"domain_scores_gemma":[0.9738758,0.006250337,0.003341175,0.003546224,0.01065249,0.002333807],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001290339,0.00002139725,0.006554527,0.0006079854,0.00002926931,0.00001801755,0.0001082536,0.0001458677,0.00007981066,0.0005632483,0.9880157,0.003726878],"study_design_scores_gemma":[0.0002541482,0.00002437652,0.04632311,0.0006711271,0.00004336779,0.00004822502,0.0004034058,0.0003885593,0.0005184456,0.000804061,0.9504775,0.00004383491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005841769,0.00007595115,0.0001046342,0.0002033646,0.00002076436,0.00002894085,0.998026,0.0001578709,0.0007983418],"genre_scores_gemma":[0.001455244,0.00009468735,0.0004642867,0.000123399,0.00001174808,0.0002751834,0.9964089,0.00005501815,0.00111153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9934452,"threshold_uncertainty_score":0.336275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112464089016267,"score_gpt":0.3321057187528372,"score_spread":0.2208593098512105,"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."}}