{"id":"W1594652389","doi":"10.5281/zenodo.1307551","title":"Federated Identity Management For Research Collaborations","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie; McGill University","funders":"Deutsches Elektronen-Synchrotron; European Synchrotron Radiation Facility; Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Identity management; Authorization; Identity (music); Leverage (statistics); Public relations; Authentication (law); Political science; Knowledge management; White paper; Business; Computer science; Computer security; Law","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.06495797,0.0007804724,0.00124281,0.006866551,0.008889796,0.02093367,0.006350974,0.005257841,0.006377228],"category_scores_gemma":[0.07923001,0.0008957935,0.001438498,0.007370973,0.004207451,0.02836647,0.02736655,0.004530442,0.003997541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005931666,"about_ca_system_score_gemma":0.0129421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002889117,"about_ca_topic_score_gemma":0.002241371,"domain_scores_codex":[0.9412506,0.03222315,0.00694718,0.005739962,0.01097232,0.002866742],"domain_scores_gemma":[0.9000216,0.02135406,0.007226357,0.04991781,0.01548903,0.00599112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001882239,0.0001754398,0.002022374,0.0004357473,0.00007291752,0.000336366,0.004884592,0.004016705,0.001800836,0.6497399,0.0335237,0.3028032],"study_design_scores_gemma":[0.00005292294,0.00008696982,0.0008019588,0.0008198399,0.00006328069,0.0005004357,0.002261911,0.02551861,0.004647866,0.4694502,0.4956975,0.00009847475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01333225,0.00231996,0.913165,0.0167266,0.00149439,0.0008434042,0.0005373518,0.005145172,0.04643589],"genre_scores_gemma":[0.2267189,0.002252471,0.7325271,0.003131571,0.0008691357,0.001260355,0.002899993,0.0006476756,0.02969271],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.993649,"threshold_uncertainty_score":0.3435347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.17077067773324,"score_gpt":0.3743458783530795,"score_spread":0.2035752006198395,"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."}}