{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science","insufficient_payload"],"category_scores_codex":[0.009970035,0.0004774128,0.0005248321,0.0007676422,0.005529091,0.0622507,0.01998911,0.0001618766,0.02807566],"category_scores_gemma":[0.007451783,0.0005181915,0.0001185327,0.001737491,0.0002183606,0.03145892,0.0565353,0.001348064,0.009200647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180652,"about_ca_system_score_gemma":0.0001386501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067281,"about_ca_topic_score_gemma":0.000001833873,"domain_scores_codex":[0.9900554,0.003489996,0.0007352763,0.001953892,0.002760691,0.001004709],"domain_scores_gemma":[0.9932238,0.0003677889,0.0007123909,0.00370989,0.001479892,0.0005062306],"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":[0.00004809328,0.0002188977,2.674677e-7,0.00009982805,0.000196922,0.00308559,0.0002843241,0.00008417675,0.0001828497,0.002649055,0.9426739,0.05047612],"study_design_scores_gemma":[0.0004462397,0.000459852,0.00001026723,0.00004366105,0.00004088568,0.004110949,0.0001003736,0.001476031,0.00005569752,0.00006355802,0.9926369,0.0005556305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001036362,0.0007068258,0.3494847,0.003861019,0.0007001623,0.006188988,0.003953301,0.002735184,0.6322662],"genre_scores_gemma":[0.005461346,0.01676952,0.03786898,0.001387005,0.0008466208,0.000005627248,0.05009039,0.01346052,0.87411],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3116156,"threshold_uncertainty_score":0.999727,"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."}}