{"id":"W3093459717","doi":"10.3390/nano10102033","title":"Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data","year":2020,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Research Data Management Practices","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"High Energy Physics; Institute of High Energy Physics; Center for the Environmental Implications of NanoTechnology; University of California, San Diego; Universiteit Maastricht; Hanyang University; Rijksinstituut voor Volksgezondheid en Milieu; European Commission; National Cancer Institute; National Institutes of Health; University of Alberta","keywords":"Metadata; Computer science; Interoperability; Workflow; Data quality; Data curation; Data science; Metadata management; Stewardship (theology); Data governance; Data management; Schema (genetic algorithms); World Wide Web; Database; Engineering; Information retrieval; Metric (unit)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2226386,0.00102556,0.001695145,0.01310958,0.008381112,0.02865074,0.01102038,0.005999949,0.003577616],"category_scores_gemma":[0.1835299,0.001719899,0.002568121,0.015896,0.01428073,0.05029003,0.03159766,0.007263998,0.003043833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009247615,"about_ca_system_score_gemma":0.03599449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135565,"about_ca_topic_score_gemma":0.008514647,"domain_scores_codex":[0.8982533,0.06372376,0.01258063,0.00864898,0.01335558,0.003437717],"domain_scores_gemma":[0.7108564,0.07934567,0.01718591,0.1310077,0.04734889,0.01425545],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002806505,0.0008508642,0.02927626,0.001437323,0.0002529131,0.0007575195,0.04943549,0.008899637,0.009749818,0.5228371,0.02284577,0.3533767],"study_design_scores_gemma":[0.0001759998,0.0002650391,0.004502648,0.00205253,0.0001424139,0.0006683794,0.03004906,0.02852868,0.01374495,0.4816559,0.4377397,0.0004747065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03896848,0.002622845,0.8811157,0.04899929,0.0005513073,0.002843953,0.0009744544,0.004534482,0.01938957],"genre_scores_gemma":[0.1249862,0.001207766,0.8624945,0.00181205,0.00022319,0.001353697,0.002662091,0.001094407,0.004166198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9889796,"threshold_uncertainty_score":0.958625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.623165160250243,"score_gpt":0.471601839170566,"score_spread":0.1515633210796771,"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."}}