{"id":"W4324018738","doi":"10.1002/alz.13441","title":"Artificial intelligence for dementia research methods optimization","year":2023,"lang":"en","type":"review","venue":"Alzheimer s & Dementia","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Interreg; National Institute on Aging; Medical Research Council; NIHR Maudsley Biomedical Research Centre; National Institutes of Health; National Health and Medical Research Council; Courtois Foundation; Alzheimer’s Research UK; UK Dementia Research Institute; EU Joint Programme – Neurodegenerative Disease Research; National Institute for Health and Care Research; European Regional Development Fund; Economic and Social Research Council; European Commission; Motor Neurone Disease Association; Engineering and Physical Sciences Research Council; UK Research and Innovation","keywords":"Generalizability theory; Interpretability; Computer science; Dementia; Artificial intelligence; Robustness (evolution); CLARITY; Machine learning; Data science; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009949576,0.001711746,0.002619599,0.002957194,0.0006100406,0.003821406,0.002347829,0.00333979,0.01131995],"category_scores_gemma":[0.02319605,0.0006855332,0.002617362,0.003036084,0.00272086,0.002697212,0.002181186,0.004202396,0.004490544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346867,"about_ca_system_score_gemma":0.006725681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003217446,"about_ca_topic_score_gemma":0.002797732,"domain_scores_codex":[0.9938821,0.0034066,0.0006826536,0.000535811,0.001352216,0.0001407019],"domain_scores_gemma":[0.9847332,0.01234272,0.0006195787,0.0007917481,0.00133537,0.000177306],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006062974,0.00009215951,0.0005648562,0.02442077,0.0006043914,0.0001068858,0.0002245232,0.006920235,0.0003184035,0.1645561,0.04282454,0.7593065],"study_design_scores_gemma":[0.00008270883,0.0001107943,0.00137924,0.02684373,0.0004602375,0.000398547,0.0002098241,0.00776832,0.0005505026,0.3264485,0.6356505,0.00009716795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005110072,0.9087871,0.06487839,0.009132675,0.00180148,0.0002563157,0.0002931995,0.000235663,0.01410412],"genre_scores_gemma":[0.01844868,0.8722885,0.09544849,0.0037764,0.002121936,0.001270822,0.0005496833,0.0002168538,0.005878666],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9900504,"threshold_uncertainty_score":0.05261904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7587935577905949,"score_gpt":0.6408749094714015,"score_spread":0.1179186483191934,"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."}}