{"id":"W6893604153","doi":"10.5281/zenodo.3581075","title":"EOSC. ESFRI Cluster Projects. RDA: Connecting commonalities and collaborative solutions for community research data services","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"European Commission","keywords":"Alliance; Cluster (spacecraft); Key (lock); Research data; General partnership","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":[0.02819196,0.001317459,0.00080916,0.00358058,0.005300716,0.009510179,0.003370567,0.003825448,0.09603085],"category_scores_gemma":[0.01387283,0.0009691045,0.0009698476,0.007241411,0.002588727,0.0102757,0.0173007,0.002595592,0.04097068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004971039,"about_ca_system_score_gemma":0.01117448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234572,"about_ca_topic_score_gemma":0.02494393,"domain_scores_codex":[0.9887565,0.005224902,0.0004525624,0.001374804,0.002905633,0.00128565],"domain_scores_gemma":[0.9781398,0.00446464,0.001027086,0.005179337,0.002729452,0.008459742],"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":[0.0007236325,0.000355516,0.001859872,0.0008662828,0.00004259186,0.0002961207,0.005174714,0.001409755,0.003832578,0.08503918,0.7172946,0.1831051],"study_design_scores_gemma":[0.0001562221,0.0001014543,0.001393897,0.0001406566,0.000008729464,0.000105314,0.002237575,0.001731815,0.001371647,0.01444113,0.9782671,0.00004449571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03717235,0.00830162,0.2522892,0.09637601,0.004074836,0.004654753,0.06238333,0.06240206,0.4723459],"genre_scores_gemma":[0.1266214,0.003173096,0.3389994,0.004931959,0.00103552,0.003260098,0.1043087,0.01807417,0.3995958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9966294,"threshold_uncertainty_score":0.3212552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.259642813665868,"score_gpt":0.3650096855392472,"score_spread":0.1053668718733792,"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."}}