{"id":"W4394217733","doi":"10.6084/m9.figshare.5125666","title":"Supplementary Material for: Impact of Different Operational Definitions on Mild Cognitive Impairment Rate and MMSE and MoCA Performance in Transient Ischaemic Attack and Stroke","year":2013,"lang":"en","type":"dataset","venue":"Figshare","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognitive impairment; Montreal Cognitive Assessment; Transient (computer programming); Stroke (engine); Cognition; Psychology; Cardiology; Medicine; Computer science; Psychiatry; Engineering; Aerospace engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002305021,0.001277931,0.001215264,0.002678226,0.0008087804,0.001721298,0.001600097,0.001458276,0.8225614],"category_scores_gemma":[0.05288902,0.0005913221,0.001384601,0.003155068,0.0001852007,0.001433212,0.001176691,0.0009858833,0.1936816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048112,"about_ca_system_score_gemma":0.002483081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160485,"about_ca_topic_score_gemma":0.01692579,"domain_scores_codex":[0.9989485,0.0002834061,0.0002470377,0.0002171127,0.0002176154,0.00008645804],"domain_scores_gemma":[0.9692463,0.02275392,0.001441326,0.001157436,0.004600713,0.0008002854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006007351,0.0001266467,0.003228609,0.0022102,0.00009226362,0.00009871923,0.00006387015,0.0003226357,0.00007140943,0.0007527024,0.96482,0.02761235],"study_design_scores_gemma":[0.007200419,0.00094364,0.1132448,0.01003164,0.0007483407,0.001844375,0.0008809728,0.004851963,0.0008817773,0.02199262,0.8370596,0.0003198874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001411672,0.0002240592,0.001364766,0.00092608,0.0005392141,0.0004134379,0.9883889,0.0006469102,0.006084926],"genre_scores_gemma":[0.02038444,0.001054935,0.01589075,0.002944561,0.000900875,0.007184221,0.9018155,0.00184545,0.04797926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8225614,"threshold_uncertainty_score":0.2530946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07752664495941752,"score_gpt":0.3101829357686313,"score_spread":0.2326562908092138,"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."}}