{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.02738073,0.000250444,0.0005039504,0.0005523044,0.001308667,0.02130295,0.01030034,0.0001014252,0.0103264],"category_scores_gemma":[0.02326293,0.0002127822,0.0001605546,0.004445875,0.0003696427,0.002079108,0.01730268,0.0004638803,0.005742132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003055762,"about_ca_system_score_gemma":0.002536483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007273096,"about_ca_topic_score_gemma":0.0004534868,"domain_scores_codex":[0.9893941,0.002218574,0.001076084,0.002393664,0.003720153,0.001197425],"domain_scores_gemma":[0.9914722,0.001053761,0.0002448584,0.003777138,0.002252024,0.001200001],"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":[0.0000706854,0.0001750313,0.001465504,0.000006057729,0.0001051411,0.0001278061,0.005486425,0.0002437624,0.0004698298,0.02818866,0.9158474,0.04781367],"study_design_scores_gemma":[0.0005722692,0.0001834239,0.01001855,0.00004538868,0.00002431246,0.0000244196,0.05163393,0.0008893574,0.00117616,0.01663643,0.9184288,0.0003669558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6460285,0.000154559,0.0002601743,0.05163191,0.00316095,0.002020534,0.0001162176,0.00006631323,0.2965608],"genre_scores_gemma":[0.8986638,0.000002373299,0.001271599,0.001306837,0.0001858224,0.0002250814,0.00005212291,0.00002080554,0.09827151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2526353,"threshold_uncertainty_score":0.9999915,"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."}}