{"id":"W4377096557","doi":"10.1038/s41597-023-02167-2","title":"FAIR in action - a flexible framework to guide FAIRification","year":2023,"lang":"en","type":"article","venue":"Scientific Data","topic":"Research Data Management Practices","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Biotechnology and Biological Sciences Research Council; Innovative Medicines Initiative","keywords":"Action (physics); Computer science; Physics","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":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.006976539,0.00009263327,0.00008897602,0.001002702,0.0002536198,0.00662578,0.00960432,0.00003972381,0.00003310703],"category_scores_gemma":[0.003452248,0.00009287609,0.00001429164,0.007103476,0.00006507407,0.03236872,0.006798924,0.0001879662,0.004368905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008299737,"about_ca_system_score_gemma":0.0001445485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000161043,"about_ca_topic_score_gemma":0.0002304957,"domain_scores_codex":[0.9967618,0.0001463568,0.0002686599,0.001445822,0.0009036483,0.0004737119],"domain_scores_gemma":[0.9926863,0.0002269935,0.00007818927,0.006801466,0.00007492715,0.0001321005],"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":[0.000005901875,0.00006554847,0.0003096847,0.00002881417,0.00000732136,0.00002108517,0.0003123223,0.0002836723,0.002375134,0.1450265,0.7619103,0.08965373],"study_design_scores_gemma":[0.00006735781,0.00001358934,0.007739691,0.00003391872,0.000001665062,8.531912e-7,0.0001974511,0.04316215,0.0005535809,0.005063205,0.9430445,0.0001219812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002945783,0.00001748901,0.9718341,0.01761504,0.002174544,0.0005495461,0.0002914857,0.0005749442,0.003997129],"genre_scores_gemma":[0.155226,0.0004071782,0.5780635,0.001342323,0.0004475835,0.0003703522,0.01283117,0.00006649345,0.2512454],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3937706,"threshold_uncertainty_score":0.9964063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4095442173766862,"score_gpt":0.4923431906388867,"score_spread":0.08279897326220043,"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."}}