{"id":"W4407877295","doi":"10.1038/s41597-025-04451-9","title":"Applying the FAIR Principles to computational workflows","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Biotechnology and Biological Sciences Research Council; Agence Nationale de la Recherche","keywords":"Workflow; Computer science; Data science; Database","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":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.02155113,0.0001357742,0.0001697075,0.000623385,0.001604972,0.005858323,0.0107977,0.00002560158,0.0003055951],"category_scores_gemma":[0.006263058,0.00008313391,0.00005500286,0.005281462,0.0003497124,0.000513309,0.01023652,0.0001260626,0.002711243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003647049,"about_ca_system_score_gemma":0.0002192156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002335019,"about_ca_topic_score_gemma":0.0001574543,"domain_scores_codex":[0.9943949,0.0001903707,0.0006803389,0.002032439,0.002312187,0.0003897935],"domain_scores_gemma":[0.9901741,0.00149827,0.0001410886,0.007737023,0.0003278322,0.000121682],"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":[0.000003909905,0.00002704169,0.0004566921,0.000002058427,0.00000865666,0.000001279883,0.00009823188,0.01110908,0.0000135444,0.01242478,0.7265278,0.2493269],"study_design_scores_gemma":[0.00007959484,0.000002828871,0.004067181,0.00002139038,0.000008561015,7.593988e-7,0.0005875204,0.1303834,0.0000102261,0.0186728,0.8460798,0.00008595817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01429352,0.0002972438,0.8625515,0.02384191,0.02777161,0.003336061,0.003195844,0.0003463323,0.06436605],"genre_scores_gemma":[0.573618,0.000001836469,0.07851955,0.00602423,0.0003839024,0.0003958403,0.003748225,0.00002449469,0.3372839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7840319,"threshold_uncertainty_score":0.9996948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.356785298571699,"score_gpt":0.4538253241408091,"score_spread":0.09704002556911012,"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."}}