{"id":"W4382344719","doi":"10.1080/23279095.2023.2227382","title":"Normative data for the Tower of London (Drexel version) in the Quebec-French population aged between 50 and 88 years","year":2023,"lang":"en","type":"article","venue":"Applied Neuropsychology Adult","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centres Intégré Universitaires de Santé et de Services Sociaux; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Institut Universitaire en Santé Mentale de Québec; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Réseau québécois de recherche sur le vieillissement","keywords":"Normative; Percentile; Percentile rank; Psychology; Test (biology); Population; Demography; Cognition; Neuropsychology; Executive functions; Developmental psychology; Sample (material); Gerontology; Medicine; Statistics; Sociology; Psychiatry; Mathematics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000547391,0.0001210465,0.0001773033,0.0001524763,0.0001249779,0.00001138263,0.0004321139,0.0001076116,0.0001158431],"category_scores_gemma":[0.0001071046,0.00008487055,0.00003433054,0.0004361872,0.0001668825,0.00006144527,0.0001237918,0.0002868749,0.00009963544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007146212,"about_ca_system_score_gemma":0.000008819017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007943268,"about_ca_topic_score_gemma":0.0007106528,"domain_scores_codex":[0.9988051,0.0001830676,0.0002684272,0.0004015288,0.0001107004,0.0002311565],"domain_scores_gemma":[0.9976102,0.001427151,0.0001234933,0.0007771236,0.00003744351,0.00002454836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002083183,0.0006898569,0.1571571,0.00007189101,0.0004879908,0.00006300598,0.02427839,0.00002792456,0.005138961,0.01900914,0.388705,0.4022876],"study_design_scores_gemma":[0.001525168,0.00008787662,0.9872889,0.000006033947,0.00005825644,0.000006999283,0.001806187,0.00001500243,0.000007664826,0.0009199553,0.00819333,0.00008466222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929754,0.00004346197,0.0005412785,0.001687936,0.0005842927,0.0008867509,0.0002708642,0.00003840495,0.002971612],"genre_scores_gemma":[0.997251,0.00003716241,0.00003988413,0.001330754,0.0001289613,0.0001473198,0.0005143993,0.00001740715,0.0005331463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8301318,"threshold_uncertainty_score":0.3460921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681268962779805,"score_gpt":0.330287361568661,"score_spread":0.2834746719408629,"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."}}