{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002643495,0.0003861501,0.0002865515,0.0007013027,0.0003032763,0.0002347172,0.0001699664,0.0003430692,0.01029096],"category_scores_gemma":[0.0006902747,0.0001312559,0.0001557098,0.0008592391,0.0001381931,0.0003038609,0.0001982921,0.0004376597,0.001768376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545366,"about_ca_system_score_gemma":0.0001977648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003816625,"about_ca_topic_score_gemma":0.002579185,"domain_scores_codex":[0.9998826,0.00001507183,0.0000167766,0.00004341744,0.00001814467,0.00002397801],"domain_scores_gemma":[0.9998147,0.00003465827,0.00004332313,0.0000162556,0.00002953772,0.00006161611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01418234,0.003046473,0.8475332,0.0005240968,0.0004961714,0.003234222,0.0009349637,0.0005108546,0.005200407,0.0007424287,0.05807015,0.0655247],"study_design_scores_gemma":[0.0003404064,0.001474489,0.9816887,0.0000528037,0.0001009109,0.002069957,0.0005950362,0.0004645669,0.0001888288,0.0003618254,0.0126301,0.00003227158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9455009,0.001968852,0.001367718,0.0003689594,0.0002759162,0.0004199473,0.03639862,0.00009435299,0.01360474],"genre_scores_gemma":[0.9589454,0.001045648,0.0009740004,0.0006607355,0.0002122724,0.0009734888,0.02441711,0.0000490416,0.01272221],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01029096,"threshold_uncertainty_score":0.03442663,"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."}}