{"id":"W4307803067","doi":"10.5281/zenodo.7270762","title":"FAIRplus use case IMI EUbOPEN: Open by design saves time","year":2022,"lang":"en","type":"report","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":"University of Toronto","funders":"Horizon 2020 Framework Programme","keywords":"Computer science","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":[0.02971422,0.00197177,0.001603688,0.002988491,0.003004354,0.01410794,0.007368336,0.004276273,0.07697562],"category_scores_gemma":[0.05580293,0.002460287,0.003006824,0.003344548,0.003057048,0.01768994,0.01532919,0.005123569,0.04889325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002937359,"about_ca_system_score_gemma":0.006102754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005856678,"about_ca_topic_score_gemma":0.004485352,"domain_scores_codex":[0.9739431,0.005699692,0.001502075,0.003298326,0.01350861,0.002048305],"domain_scores_gemma":[0.964447,0.008556933,0.0007850179,0.01912072,0.004791075,0.002299173],"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":[0.002617295,0.0005508847,0.002205072,0.0008259189,0.0002203153,0.0009473824,0.001918997,0.006040887,0.01128565,0.1390926,0.6759247,0.1583702],"study_design_scores_gemma":[0.000216484,0.000131625,0.0007326604,0.0001733538,0.0000392403,0.0002939544,0.0001451799,0.008141763,0.009171136,0.03968217,0.9411752,0.00009727463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01451038,0.001296065,0.5657992,0.01036332,0.003024735,0.002309867,0.02717008,0.2175272,0.1579991],"genre_scores_gemma":[0.1018605,0.001837675,0.4420972,0.005104698,0.0008389826,0.005443043,0.09447158,0.162151,0.1861954],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9926317,"threshold_uncertainty_score":0.2575091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2324300118858979,"score_gpt":0.3497988348526517,"score_spread":0.1173688229667537,"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."}}