{"id":"W4311088856","doi":"10.1016/j.jstrokecerebrovasdis.2022.106895","title":"Secondary thalamic atrophy related to brain infarction may contribute to post-stroke cognitive impairment","year":2022,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Ophthalmology and Eye Disorders","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Heart and Stroke Foundation; Sunnybrook Health Science Centre; Ontario Brain Institute","funders":"","keywords":"Thalamus; Atrophy; Stroke (engine); Cardiology; Brain size; Infarction; Medicine; Cognition; Neuroimaging; Internal medicine; Magnetic resonance imaging; Psychology; Neuroscience; Radiology; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003468396,0.0001960437,0.0004720588,0.0003994777,0.000268694,0.00002455599,0.000101591,0.00006416886,0.001454416],"category_scores_gemma":[0.0002049365,0.0001759575,0.0004951621,0.0002034518,0.00005950642,0.0001349993,0.0001270557,0.0004804012,0.00002710754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196505,"about_ca_system_score_gemma":0.0002571947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003379238,"about_ca_topic_score_gemma":0.000002212357,"domain_scores_codex":[0.9983042,0.0001953549,0.0004412647,0.0002459391,0.0004981315,0.000315135],"domain_scores_gemma":[0.9987693,0.0001079237,0.000181721,0.0001577813,0.0002833634,0.0004999026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007626103,0.001647475,0.9535093,0.0001897627,0.004850656,0.0009953642,0.001404251,0.0003853221,0.007547852,0.0000647102,0.00842051,0.01335866],"study_design_scores_gemma":[0.007784086,0.007862216,0.9672368,0.000113205,0.001211361,0.002950839,0.006869222,0.00001108005,0.0003837503,0.00008905411,0.005246596,0.0002418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895214,0.002110417,0.00003523424,0.006574844,0.000304836,0.0005474883,0.0006141839,0.00001709321,0.0002745352],"genre_scores_gemma":[0.9940618,0.0000770826,0.00005750611,0.003958523,0.00008873429,0.00003189017,0.00008240779,0.00002376121,0.001618283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372745,"threshold_uncertainty_score":0.9994584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004372937292448858,"score_gpt":0.2464347068404266,"score_spread":0.2420617695479777,"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."}}