{"id":"W4285034202","doi":"10.21037/qims-22-7","title":"Associations of cortical iron accumulation with cognition and cerebral atrophy in Alzheimer’s disease","year":2022,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Quantitative susceptibility mapping; Cerebral cortex; Medicine; Atrophy; Montreal Cognitive Assessment; Putamen; Cortex (anatomy); Cognitive decline; Neuroscience; Pathology; Dementia; Psychology; Magnetic resonance imaging; Internal medicine; Disease; Radiology","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":[0.0004895138,0.0003949414,0.0001878827,0.001290476,0.0002059933,0.0002959185,0.0002304986,0.0002616225,0.0010502],"category_scores_gemma":[0.001236934,0.0001621968,0.0001795997,0.000476934,0.0003372768,0.0001655925,0.0002230447,0.0002072365,0.0000992478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183805,"about_ca_system_score_gemma":0.0001843525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002742938,"about_ca_topic_score_gemma":0.002908287,"domain_scores_codex":[0.9999062,0.00002395494,0.000009373484,0.00002387174,0.00002289736,0.00001368638],"domain_scores_gemma":[0.9991822,0.0001745731,0.0003674774,0.00005307648,0.0001336678,0.00008905421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008772166,0.00007498149,0.9851679,0.00006675228,0.0003444477,0.000394749,0.0001348412,0.0003105561,0.006087546,0.00006295423,0.00016607,0.006311995],"study_design_scores_gemma":[0.000004904405,0.00003314866,0.9991986,0.000002608951,0.00002652462,0.0002851728,0.00001808606,0.0001695583,0.0001497736,0.00008024612,0.00002990762,0.000001485437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989379,0.0004946883,0.0001314693,0.00003625483,0.000002605456,0.000003485521,0.00006017369,0.000007341268,0.0003260447],"genre_scores_gemma":[0.9995337,0.0001293747,0.0001727869,0.000009157362,0.000007617248,0.000002802817,0.0000626133,0.000002040124,0.00007998732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002742938,"threshold_uncertainty_score":0.005453944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012782142925545,"score_gpt":0.3939426935116678,"score_spread":0.2926644792191133,"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."}}