{"id":"W3092271742","doi":"10.1002/hbm.25216","title":"Prediction of 7‐year's conversion from subjective cognitive decline to mild cognitive impairment","year":2020,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Clinical Research Center; National Natural Science Foundation of China","keywords":"Neuropsychology; Cognitive decline; Cognition; Neuroimaging; Stroke (engine); Cognitive impairment; Baseline (sea); Psychology; Natural history; Montreal Cognitive Assessment; Audiology; Medicine; Cardiology; Disease; Internal medicine; Neuroscience; Dementia","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003785988,0.0002292205,0.0004234543,0.0002391232,0.0001844178,0.00002941424,0.0001051839,0.00009445025,0.001509487],"category_scores_gemma":[0.0005849504,0.0002300214,0.0001613415,0.00046964,0.0001458306,0.0001271691,0.000252114,0.0003019754,0.0002209555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009361302,"about_ca_system_score_gemma":0.0001102443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001204547,"about_ca_topic_score_gemma":0.000007078016,"domain_scores_codex":[0.9977507,0.0001763824,0.0004290248,0.0005661809,0.0006934626,0.0003842499],"domain_scores_gemma":[0.9983017,0.0004122168,0.000136814,0.0001194606,0.0006034278,0.0004264197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003401128,0.0006689325,0.8232321,0.0003131387,0.0007605408,0.0001022675,0.01078009,0.000001363151,0.1559072,0.00006696741,0.003375769,0.001390554],"study_design_scores_gemma":[0.007622455,0.002898992,0.9558498,0.001045548,0.0001769753,0.000002976302,0.01278073,0.0001969707,0.01867425,0.0001548712,0.000420312,0.0001761533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810385,0.0000527165,0.009291843,0.003400353,0.00006163614,0.001853217,0.0003625782,0.00009805511,0.003841128],"genre_scores_gemma":[0.9930734,0.00001002749,0.0002176514,0.005368758,0.0003344848,0.00008035918,0.0005940681,0.0000322624,0.0002889881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1372329,"threshold_uncertainty_score":0.9994033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05723235445774143,"score_gpt":0.3166283852028305,"score_spread":0.2593960307450891,"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."}}