{"id":"W1983451114","doi":"10.1007/s11682-012-9161-8","title":"Longitudinal change in neuropsychological performance using latent growth models: a study of mild cognitive impairment","year":2012,"lang":"en","type":"article","venue":"Brain Imaging and Behavior","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institute on Aging; Johnson and Johnson; National Institutes of Health; National Institute for Health and Care Research","keywords":"Neuropsychology; Psychology; Cognitive impairment; Cognition; Latent growth modeling; Neuropsychological test; Neuropsychological assessment; Clinical psychology; Developmental psychology; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006230542,0.0008449266,0.0008047593,0.001172332,0.001338143,0.001361623,0.00130529,0.001062504,0.0007580583],"category_scores_gemma":[0.01377143,0.00068911,0.001146037,0.001758408,0.001079933,0.001841217,0.001337517,0.002660336,0.0003159654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063443,"about_ca_system_score_gemma":0.001570652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05258548,"about_ca_topic_score_gemma":0.03985352,"domain_scores_codex":[0.9985396,0.0008545747,0.00007986624,0.0001707085,0.0001543541,0.0002008959],"domain_scores_gemma":[0.9933944,0.002249159,0.001449139,0.001323928,0.0006242401,0.0009591584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002038102,0.001167703,0.9900379,0.00001198288,0.0002853592,0.0001774299,0.001423817,0.0005160296,0.0002810927,0.0001797474,0.0001782148,0.00370273],"study_design_scores_gemma":[0.00007242285,0.0009987564,0.9935805,0.000009117461,0.0001281052,0.0002136668,0.001143002,0.003151681,0.0001049014,0.0003889936,0.0001836864,0.00002516968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999634,0.00005239662,0.000116114,0.00004083682,0.000002607015,0.000006192839,0.00009824031,0.00000402313,0.00004548001],"genre_scores_gemma":[0.9991515,0.00006363554,0.0001838837,0.00001342657,0.000005079371,0.0000184544,0.0003806424,0.000004034167,0.0001792963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05258548,"threshold_uncertainty_score":0.1045588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327101131975381,"score_gpt":0.3893713296005105,"score_spread":0.2566612164029724,"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."}}