{"id":"W6908933652","doi":"10.3389/fnut.2024.1485642.s003","title":"Data_Sheet_3_Mapping the evolution and impact of ketogenic diet research on diabetes management: a comprehensive bibliometric analysis from 2005 to 2024.CSV","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; Diabetes management; Bibliometrics; MEDLINE; Web of science; Clinical nutrition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005582283,0.001260171,0.003412018,0.07999484,0.0009424574,0.004629835,0.001676443,0.001211024,0.1190805],"category_scores_gemma":[0.05480074,0.0007074974,0.00304929,0.1120903,0.0006355734,0.003523862,0.003065185,0.001294739,0.01664235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00263626,"about_ca_system_score_gemma":0.008240231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064393,"about_ca_topic_score_gemma":0.01233616,"domain_scores_codex":[0.9902062,0.001254805,0.00394994,0.0009771081,0.003005899,0.0006061057],"domain_scores_gemma":[0.9165942,0.04683626,0.01480887,0.003119122,0.01694158,0.00169992],"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":[0.000768417,0.0001049724,0.03000947,0.149976,0.001666119,0.0003523037,0.001016529,0.001434996,0.001229713,0.005854534,0.7045074,0.1030795],"study_design_scores_gemma":[0.0004768074,0.0001307559,0.1460798,0.02479566,0.001364882,0.0004876376,0.001245835,0.0008568735,0.0009053815,0.003115773,0.8203562,0.0001844652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001830836,0.001532433,0.0002061131,0.000534741,0.00004760407,0.0002091479,0.9931009,0.0003222557,0.002215925],"genre_scores_gemma":[0.01980457,0.006295382,0.005709394,0.0006178159,0.0001764829,0.004307004,0.9585966,0.0004039954,0.004088841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9200051,"threshold_uncertainty_score":0.3983639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440104773241073,"score_gpt":0.4117347885710367,"score_spread":0.2677243112469294,"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."}}