{"id":"W4412549748","doi":"10.1186/s13195-025-01810-x","title":"A normative calculator for MoCA domain scores: proxy for Z-scores of conventional neuropsychological tests","year":2025,"lang":"en","type":"article","venue":"Alzheimer s Research & Therapy","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Medical Research Council; National Institute on Aging; National Institutes of Health","keywords":"Calculator; Normative; Neuropsychology; Neurology; Proxy (statistics); Psychology; Clinical psychology; Geriatric psychiatry; Medicine; Psychiatry; Cognition; Statistics; Computer science; Mathematics; Political science","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":[0.007852028,0.001176327,0.0008368718,0.00578542,0.0006640118,0.001533262,0.002172238,0.0007369698,0.003236703],"category_scores_gemma":[0.03318565,0.0003308431,0.0008960155,0.003719452,0.0004806936,0.001014734,0.001214628,0.001312322,0.002351039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444316,"about_ca_system_score_gemma":0.001485101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0092785,"about_ca_topic_score_gemma":0.01172187,"domain_scores_codex":[0.9944771,0.001653244,0.0008162603,0.0007774836,0.002092557,0.0001834322],"domain_scores_gemma":[0.9784839,0.005175703,0.004461313,0.002136277,0.009383676,0.0003591087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007029552,0.0004025515,0.7909832,0.0004138522,0.0006006986,0.0001494845,0.0006190095,0.004630059,0.002931562,0.005990193,0.03242609,0.1601503],"study_design_scores_gemma":[0.0001410187,0.0007150997,0.9146036,0.000404135,0.0002752305,0.001707118,0.0006811836,0.02178314,0.005683177,0.005719555,0.04813471,0.0001520582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5647855,0.003956741,0.2961529,0.0007664189,0.0006460121,0.004308277,0.0676062,0.007051757,0.05472616],"genre_scores_gemma":[0.7372136,0.0007081674,0.2067857,0.0003238734,0.00008376218,0.005814839,0.04356835,0.0006538394,0.004847886],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0092785,"threshold_uncertainty_score":0.04152602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135678470935764,"score_gpt":0.4667238594573994,"score_spread":0.3531560123638229,"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."}}