{"id":"W4285454821","doi":"10.5281/zenodo.6830003","title":"Institutional RDM Strategy Survey Report","year":2022,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"RDM; Survey data collection; Survey research; Business; Computer science; Mathematics; Statistics; Business administration; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.01418268,0.001165163,0.0007960644,0.01572011,0.005350735,0.009300448,0.003578751,0.001464303,0.05450189],"category_scores_gemma":[0.03213478,0.0009559806,0.0007813947,0.02800702,0.0007080521,0.002086007,0.002915523,0.001910563,0.02901206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1151033,"about_ca_system_score_gemma":0.3819655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9830794,"about_ca_topic_score_gemma":0.9770915,"domain_scores_codex":[0.9713567,0.001319029,0.001261545,0.001011729,0.02005924,0.004991582],"domain_scores_gemma":[0.909098,0.00238763,0.00157119,0.001923546,0.07774665,0.007273004],"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":[0.00004538056,0.00006449096,0.007321816,0.0002699962,0.00001299265,0.00003697335,0.0003637195,0.0002672418,0.0001333294,0.004774098,0.9523534,0.03435647],"study_design_scores_gemma":[0.00001448995,0.00001683945,0.03099182,0.0001788326,0.00001338745,0.0000268087,0.001136881,0.0002438783,0.0002834036,0.0002555267,0.9667967,0.00004137397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00777855,0.001625604,0.002277633,0.01081316,0.0006266363,0.003632068,0.7260193,0.002296945,0.2449301],"genre_scores_gemma":[0.03589757,0.003629928,0.01104047,0.004877436,0.0001492926,0.004559166,0.5610382,0.0008565341,0.3779514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964213,"threshold_uncertainty_score":0.835137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2385018681209325,"score_gpt":0.3587411552720665,"score_spread":0.1202392871511339,"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."}}