{"id":"W4394138094","doi":"10.6084/m9.figshare.23281041","title":"Additional file 4 of Features of a FAIR vocabulary","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Vocabulary; Computer science; Operating system; Programming language; Information retrieval; World Wide Web; Linguistics; Philosophy","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003777972,0.001527559,0.001265656,0.004918723,0.001579538,0.003262487,0.002774562,0.001796472,0.5861592],"category_scores_gemma":[0.03269396,0.0007814439,0.001559887,0.006937666,0.0007530765,0.003168773,0.002490187,0.001847228,0.2213794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002495524,"about_ca_system_score_gemma":0.003946404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01967949,"about_ca_topic_score_gemma":0.03884379,"domain_scores_codex":[0.9973196,0.0004742121,0.0005386853,0.0007750691,0.0005602766,0.0003320149],"domain_scores_gemma":[0.9796864,0.01092438,0.001105716,0.002974478,0.00453221,0.0007768014],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001008583,0.00003769365,0.001064819,0.001102297,0.00002259522,0.00001700649,0.00004278878,0.0001239832,0.00009457278,0.0006628094,0.9938536,0.002876987],"study_design_scores_gemma":[0.0007338416,0.00004221988,0.006090805,0.0008806443,0.00006280361,0.00007761708,0.0002833548,0.0002904298,0.000403138,0.005488727,0.9855872,0.00005909173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005807804,0.00001412915,0.0001123291,0.00004097046,0.00001829365,0.00004653813,0.998845,0.0001498873,0.0007148358],"genre_scores_gemma":[0.0008635215,0.00003533838,0.001085508,0.0001466351,0.00001880613,0.0006174551,0.9949914,0.0002428168,0.001998583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.996222,"threshold_uncertainty_score":0.5902937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0878803395362071,"score_gpt":0.3322950834539241,"score_spread":0.244414743917717,"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."}}