{"id":"W6949012781","doi":"10.5281/zenodo.1296031","title":"Federated Identity Management For Research Collaborations","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie; McGill University","funders":"Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Identity management; Identity (music); Leverage (statistics); Authentication (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":["insufficient_payload"],"category_scores_codex":[0.0159174,0.0001196108,0.0001489866,0.0009034867,0.009674047,0.008829604,0.002706341,0.0000465293,0.01003255],"category_scores_gemma":[0.006518418,0.0001116942,0.00005714861,0.004465977,0.0004551137,0.0007481198,0.003584697,0.000167424,0.02783352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720512,"about_ca_system_score_gemma":0.000008298238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001614893,"about_ca_topic_score_gemma":0.000006834838,"domain_scores_codex":[0.9951019,0.0007998894,0.000507121,0.001021077,0.001996705,0.0005732704],"domain_scores_gemma":[0.9930403,0.0002126644,0.0001344232,0.001116763,0.005287615,0.0002082402],"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":[0.00004535455,0.00009879757,0.000002782564,0.00001193695,0.00002441183,0.000002878301,0.0004420954,0.00002008511,0.0002837088,0.04016763,0.8348886,0.1240117],"study_design_scores_gemma":[0.000423785,0.0002071797,0.0006304229,0.00001522655,0.000008147592,0.000006853095,0.00219901,0.005071669,0.000171506,0.008744931,0.9823951,0.0001261341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02325274,0.00004468156,0.4288398,0.004777404,0.001380873,0.002302761,0.000678564,0.0010572,0.537666],"genre_scores_gemma":[0.9644375,0.00001951418,0.003921675,0.0002765051,0.0005476975,4.550412e-7,0.001255801,0.0006047835,0.02893602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9411848,"threshold_uncertainty_score":0.9921993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2958575397247736,"score_gpt":0.4243408273962248,"score_spread":0.1284832876714512,"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."}}