{"id":"W3036146299","doi":"10.3233/adr-200185","title":"A Comprehensive, Multi-Modal Strategy to Mitigate Alzheimer’s Disease Risk Factors Improves Aspects of Metabolism and Offsets Cognitive Decline in Individuals with Cognitive Impairment","year":2020,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease Reports","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Cognitive decline; Disease; Cognitive impairment; Alzheimer's disease; Dementia; Cognitive aging; Psychology; Medicine; Cognitive psychology; Neuroscience; Internal medicine","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":[0.0003631306,0.0002730135,0.0002494503,0.000189079,0.0003003313,0.0001919815,0.0003054319,0.0003151039,0.002303208],"category_scores_gemma":[0.0006108359,0.00005870227,0.0002874476,0.00009662121,0.0001156157,0.0002182217,0.0005622212,0.0003264183,0.0002360802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427478,"about_ca_system_score_gemma":0.0003648409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005661276,"about_ca_topic_score_gemma":0.001548878,"domain_scores_codex":[0.9998701,0.00003888998,0.000008560757,0.00003056418,0.00002465337,0.00002716297],"domain_scores_gemma":[0.9998437,0.00002831334,0.00003239522,0.00001988179,0.0000139736,0.0000617296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.003618425,0.04493644,0.03489016,0.0007235493,0.0004210179,0.0002485683,0.001012557,0.002004532,0.04599668,0.000350694,0.005154281,0.8606431],"study_design_scores_gemma":[0.003277929,0.07214402,0.8669742,0.0004302882,0.000907328,0.001523227,0.001483235,0.008707912,0.02175666,0.002488774,0.02021491,0.00009161133],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940335,0.0003030195,0.00273086,0.000333562,0.0000285141,0.0001940296,0.00006578686,0.0001482526,0.002162352],"genre_scores_gemma":[0.9867806,0.0004479624,0.01069474,0.0003054576,0.00005453834,0.000284837,0.0001208755,0.000007198686,0.001303799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002303208,"threshold_uncertainty_score":0.007705033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917049950379588,"score_gpt":0.3325081578296156,"score_spread":0.2933376583258198,"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."}}