{"id":"W2912172308","doi":"10.1002/lrh2.10187","title":"Cross‐Network Directory Service: Infrastructure to enable collaborations across distributed research networks","year":2019,"lang":"en","type":"article","venue":"Learning Health Systems","topic":"Research Data Management Practices","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Hamilton Health Sciences Foundation; University of Michigan; U.S. Department of Health and Human Services","keywords":"Directory service; Metadata; Workgroup; Computer science; Directory; World Wide Web; Service (business); Lightweight Directory Access Protocol; Software; Computer network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01665107,0.0009378332,0.00072993,0.003928555,0.002174351,0.005246536,0.003300291,0.0017442,0.01423934],"category_scores_gemma":[0.02328326,0.0009977348,0.001038946,0.003059489,0.001844871,0.007020832,0.01510946,0.001840651,0.008483603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00257894,"about_ca_system_score_gemma":0.008082009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005381869,"about_ca_topic_score_gemma":0.003924652,"domain_scores_codex":[0.9937031,0.002386348,0.0007680443,0.0008693651,0.001640465,0.00063264],"domain_scores_gemma":[0.9739968,0.00688293,0.001839161,0.009185874,0.003623245,0.004472054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001758007,0.0004563552,0.02053442,0.00205225,0.0002757209,0.001307751,0.007147943,0.01280307,0.0248723,0.1994601,0.2181376,0.5111943],"study_design_scores_gemma":[0.0002517934,0.0002068902,0.003611329,0.0004264257,0.00006442103,0.000624469,0.0009764804,0.03155895,0.01015975,0.04859573,0.903323,0.0002008129],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01829905,0.000871944,0.8110704,0.00344347,0.000562939,0.001150468,0.003674978,0.1269465,0.03398021],"genre_scores_gemma":[0.2061995,0.001647217,0.7296607,0.001638449,0.0004462346,0.002705871,0.022797,0.01067455,0.02423052],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9947535,"threshold_uncertainty_score":0.08806032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09153399660153254,"score_gpt":0.4461655314395463,"score_spread":0.3546315348380138,"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."}}