{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04770486,0.0007478348,0.001343725,0.005361737,0.006343939,0.01751688,0.00503276,0.004902145,0.005989373],"category_scores_gemma":[0.06257643,0.0006676383,0.001539191,0.005555117,0.003017559,0.019399,0.02072509,0.003371818,0.002736774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005317771,"about_ca_system_score_gemma":0.01116434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003147681,"about_ca_topic_score_gemma":0.002566064,"domain_scores_codex":[0.9569644,0.02465986,0.00422171,0.004285894,0.007409594,0.002458604],"domain_scores_gemma":[0.9391723,0.01719221,0.005724615,0.02331273,0.01037792,0.004220195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002496364,0.0002043563,0.001824292,0.000370339,0.00009348503,0.0002726895,0.001375475,0.0140388,0.00114064,0.6913928,0.02621322,0.2628242],"study_design_scores_gemma":[0.00007046664,0.0001061421,0.0007310477,0.0005386189,0.00006559055,0.0003226458,0.001039977,0.08711738,0.003467349,0.6676906,0.2387596,0.00009048924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01321307,0.001889846,0.9347543,0.01185908,0.001061711,0.0007980776,0.0006330569,0.003079595,0.03271136],"genre_scores_gemma":[0.2793184,0.001682926,0.6963488,0.002059113,0.0006028522,0.001068637,0.002576036,0.0002490483,0.01609432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9824831,"threshold_uncertainty_score":0.2522904,"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."}}