{"id":"W6922890613","doi":"10.1371/journal.pone.0108883.t001","title":"Demographic, clinical, and cognitive characteristics of T2DM patients and healthy control subjects.&lt;sup&gt;*&lt;/sup&gt;","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"German Social Sciences and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Metabolic control analysis; Montreal Cognitive Assessment; Diabetes mellitus; Creatinine; White matter; Magnetic resonance imaging; Type 2 diabetes; Body mass index","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009837223,0.0003404019,0.0009058901,0.0001781256,0.0007685245,0.0001449274,0.0005142786,0.0007883722,0.007805482],"category_scores_gemma":[0.005087215,0.0003395903,0.0001689745,0.0003774241,0.0008109038,0.0002305141,0.0002067016,0.0005358963,0.0002099093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007542173,"about_ca_system_score_gemma":0.0009264402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007123033,"about_ca_topic_score_gemma":0.004301629,"domain_scores_codex":[0.9963545,0.00064678,0.0007652596,0.0006581117,0.0009714242,0.0006039075],"domain_scores_gemma":[0.996225,0.0008674501,0.0009592707,0.0002394643,0.0009775163,0.0007312809],"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":[0.0000658416,0.0001253792,0.001867816,0.0002039081,0.00004180759,0.000007430388,0.001353543,1.491594e-8,5.380493e-8,0.000008215302,0.9926906,0.003635386],"study_design_scores_gemma":[0.001000485,0.0003740466,0.03537233,0.000624576,0.0001149404,4.896775e-7,0.000387269,0.000003565986,3.150904e-8,0.00004095291,0.9617136,0.0003677138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003778458,0.001663638,8.994787e-8,0.0001096938,0.0003511954,0.0008325257,0.9925011,0.00003042144,0.0007329119],"genre_scores_gemma":[0.03492409,0.001059686,0.000005382963,0.0007921427,0.0006590878,0.00008003601,0.9623702,0.00001918667,0.00009016263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03350452,"threshold_uncertainty_score":0.9999056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05171359825429823,"score_gpt":0.3365513439479002,"score_spread":0.2848377456936019,"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."}}