{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008821733,0.0003172459,0.0001664573,0.000566909,0.0001654636,0.0004604909,0.0001714106,0.0002238772,0.0005482304],"category_scores_gemma":[0.002570852,0.00008097768,0.0002731544,0.0001306017,0.0001685208,0.0002137308,0.0002975105,0.0003082949,0.000183233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273849,"about_ca_system_score_gemma":0.0001822083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002822464,"about_ca_topic_score_gemma":0.00329909,"domain_scores_codex":[0.999881,0.0000453222,0.00001562104,0.00002231648,0.00002035544,0.00001527717],"domain_scores_gemma":[0.9991167,0.0003127593,0.0002166191,0.00008566966,0.0001041552,0.0001641477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001704598,0.00005443621,0.9933603,0.000003919527,0.00002698625,0.00007043051,0.00004518644,0.0009805679,0.0002136247,0.00001661974,0.00005516178,0.005002317],"study_design_scores_gemma":[0.00001009581,0.0004483064,0.9857524,0.000006380213,0.00002635519,0.000290392,0.0001548834,0.01264753,0.0004057895,0.0001078133,0.000143724,0.000006410244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995881,0.00003325032,0.0001772485,0.000007858176,0.00000243595,0.000003902282,0.00005309723,0.000004735732,0.0001294819],"genre_scores_gemma":[0.9996328,0.00001705774,0.0001152955,0.000001797452,0.000001502701,0.000001489614,0.0001561201,4.993954e-7,0.00007325544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002822464,"threshold_uncertainty_score":0.005612075,"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."}}