{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.006112935,0.0001464892,0.0001333025,0.0007627891,0.007947305,0.02439054,0.005138398,0.00005643312,0.001261269],"category_scores_gemma":[0.002305673,0.0001586252,0.00004259101,0.003357969,0.0003609817,0.01875512,0.006753736,0.0003003098,0.006465841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002753345,"about_ca_system_score_gemma":0.00001395665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002519658,"about_ca_topic_score_gemma":0.000005575045,"domain_scores_codex":[0.9958004,0.0009640126,0.0003198621,0.0008828879,0.001232356,0.0008004833],"domain_scores_gemma":[0.9949173,0.0001191684,0.0001160234,0.001172999,0.003424477,0.0002500398],"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":[0.000050413,0.0001705509,0.000001249284,0.00007363876,0.00007454104,0.00001179034,0.0002993631,0.000005803958,0.0009431503,0.6157671,0.3425915,0.04001094],"study_design_scores_gemma":[0.0005513976,0.0004353495,0.0002913349,0.00002210242,0.000008378669,0.00001363388,0.0004553654,0.00386053,0.0005411898,0.002921793,0.9907284,0.0001704997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00108267,0.00003448068,0.7950801,0.004852124,0.0001982021,0.001601457,0.000131438,0.0008618988,0.1961577],"genre_scores_gemma":[0.8706754,0.001193174,0.0684428,0.001021322,0.001292661,0.000005295209,0.003918448,0.002593487,0.05085743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8695927,"threshold_uncertainty_score":0.9996517,"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."}}