{"id":"W1976974428","doi":"10.1145/1015864.1015881","title":"Preserving research data","year":2004,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Research Data Management Practices","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Data collection; Computer science; Property (philosophy); Research data; Property rights; Computer security; Business; Internet privacy; Data science; Political science; Law; Mathematics; Statistics","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.1258626,0.001257524,0.002796365,0.00678756,0.004649996,0.03084827,0.007907389,0.005128038,0.01586472],"category_scores_gemma":[0.4035202,0.002587165,0.00284601,0.0130338,0.01362615,0.03589404,0.02455099,0.008944204,0.01536691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003923804,"about_ca_system_score_gemma":0.02797402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002242454,"about_ca_topic_score_gemma":0.00155787,"domain_scores_codex":[0.8463825,0.06893423,0.020287,0.01819789,0.04075309,0.005445269],"domain_scores_gemma":[0.3578759,0.1531438,0.02080142,0.4238935,0.03617631,0.00810917],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002897965,0.00016053,0.006210956,0.001272658,0.0002363852,0.0004066361,0.008400259,0.00134875,0.004069841,0.6869735,0.03603676,0.254594],"study_design_scores_gemma":[0.0001312723,0.0001417901,0.001795018,0.0005860818,0.000261674,0.001129245,0.00204472,0.001131056,0.008935563,0.439822,0.5439277,0.00009386555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01669638,0.00438034,0.7836803,0.05065623,0.003232379,0.001683641,0.006984059,0.003582537,0.1291042],"genre_scores_gemma":[0.3679185,0.007601709,0.4777396,0.01775792,0.005311949,0.003863602,0.01309101,0.002821011,0.1038948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9920926,"threshold_uncertainty_score":0.6656327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7169247412541468,"score_gpt":0.5459853175911128,"score_spread":0.1709394236630341,"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."}}