{"id":"W3214179085","doi":"10.54590/pop.2021.006","title":"Persistent Identifiers as Open Research Infrastructure to Reduce Administrative Burden","year":2021,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expediting; Identifier; Globe; Key (lock); Open research; Unique identifier; Computer science; Data science; Business; Knowledge management; Computer security; World Wide Web; Medicine; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2046789,0.001312182,0.001933158,0.01150258,0.008318217,0.02572575,0.008862593,0.007543091,0.02122558],"category_scores_gemma":[0.364621,0.002201338,0.001941629,0.01523189,0.01421396,0.07071354,0.04984895,0.01116964,0.01203782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007170415,"about_ca_system_score_gemma":0.03202842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001968158,"about_ca_topic_score_gemma":0.001418915,"domain_scores_codex":[0.814199,0.1273312,0.01466101,0.01114278,0.02714382,0.005522101],"domain_scores_gemma":[0.5236716,0.2186797,0.044712,0.1502722,0.043583,0.01908153],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000213617,0.0001042505,0.00292519,0.00115286,0.00007624539,0.000198933,0.005314524,0.001258249,0.0009993212,0.7742543,0.05489027,0.1586124],"study_design_scores_gemma":[0.0001328929,0.0001640836,0.001157461,0.002011372,0.0001031479,0.0002817045,0.003266545,0.003225291,0.001653952,0.4368322,0.5510222,0.0001491706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009040619,0.003766456,0.808063,0.1003673,0.004381947,0.002478945,0.001771766,0.008316434,0.06181358],"genre_scores_gemma":[0.1339551,0.007425992,0.7936253,0.01861548,0.005059754,0.008420835,0.00373991,0.002516072,0.02664156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9911374,"threshold_uncertainty_score":0.9807725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7205813381826787,"score_gpt":0.5912649030939663,"score_spread":0.1293164350887124,"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."}}