{"id":"W2140771515","doi":"10.1161/strokeaha.114.007146","title":"Relationship Between White Matter Hyperintensities, Cortical Thickness, and Cognition","year":2015,"lang":"en","type":"article","venue":"Stroke","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Internationale Stichting Alzheimer Onderzoek","keywords":"Medicine; Hyperintensity; Cognition; White matter; Leukoaraiosis; Stroke (engine); Cardiology; Neuroscience; Magnetic resonance imaging; Radiology; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002619697,0.00007481501,0.0001307525,0.00007072358,0.00006016567,0.00003149766,0.00002260845,0.00005629535,0.0002668775],"category_scores_gemma":[0.0002048725,0.00006407753,0.0000266927,0.00006204026,0.0001269574,0.00008412233,0.00004161307,0.0002347774,0.0003876233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002319693,"about_ca_system_score_gemma":0.00006641554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008633715,"about_ca_topic_score_gemma":0.000002014996,"domain_scores_codex":[0.9991888,0.00006058211,0.0001257754,0.0001477439,0.0002888479,0.000188281],"domain_scores_gemma":[0.999359,0.00009659614,0.0000190339,0.00009295317,0.0002140174,0.0002183588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009576055,0.00002533976,0.9963908,0.00002838193,0.00002068944,0.00001997093,0.0001194321,1.704162e-8,0.0001234507,0.0001167487,0.002731622,0.0003277563],"study_design_scores_gemma":[0.001249085,0.0002400089,0.9954373,0.00003014908,0.0001257798,0.00006961057,0.0007572912,0.00001183166,0.0001809072,0.0004855743,0.001346283,0.00006623622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478408,0.00005340024,0.0006083366,0.002662434,0.00004566813,0.0002043496,0.0000236793,0.0000315733,0.04852977],"genre_scores_gemma":[0.9888733,0.000002258681,0.0002869543,0.0006040197,0.0001431973,0.00001554153,0.00008781127,0.00001065072,0.009976289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04103249,"threshold_uncertainty_score":0.4982243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0619599972115689,"score_gpt":0.3249521383576101,"score_spread":0.2629921411460411,"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."}}