{"id":"W4384559810","doi":"10.1007/s11357-023-00868-5","title":"Correction to: Pre-frail older adults show improved cognition with StayFitLonger computerized home–based training: a randomized controlled trial","year":2023,"lang":"en","type":"erratum","venue":"GeroScience","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université du Québec à Trois-Rivières; Université de Montréal; Montreal Heart Institute; Institut Universitaire de Gériatrie de Montréal; Bell (Canada)","funders":"","keywords":"Randomized controlled trial; Cognition; Cognitive training; Physical medicine and rehabilitation; Psychology; Gerontology; Physical therapy; Medicine; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00448916,0.001146864,0.004213273,0.001305459,0.0005840419,0.001893169,0.002216937,0.0005995207,0.00005966373],"category_scores_gemma":[0.002641987,0.000910661,0.0009866352,0.002760075,0.0004814656,0.001161766,0.0004372062,0.001274177,0.0001686638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028651,"about_ca_system_score_gemma":0.002535149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002145369,"about_ca_topic_score_gemma":0.0005100155,"domain_scores_codex":[0.9902289,0.001641863,0.001742122,0.002813702,0.002258139,0.001315255],"domain_scores_gemma":[0.9908288,0.003972964,0.001911248,0.001494112,0.001200088,0.0005927587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8081685,0.0004929474,0.000001138176,0.0001670812,0.0002727414,0.00005667431,0.004247406,0.00005323434,0.0004759804,0.00001233947,0.1481089,0.03794309],"study_design_scores_gemma":[0.7199657,0.001229595,0.00005556025,0.002003563,0.0001671906,0.00002742992,0.0001133646,0.2731504,0.00007204874,0.00002934384,0.002075154,0.00111066],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003692375,0.00007092991,0.815899,0.0008132223,0.154694,0.02100348,0.00009951528,0.00184939,0.001878186],"genre_scores_gemma":[0.6810877,0.00005223791,0.01205935,0.003602911,0.006367587,0.03274416,0.0007282937,0.0005011717,0.2628566],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8038396,"threshold_uncertainty_score":0.9993344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221599785706779,"score_gpt":0.2578642447798257,"score_spread":0.2356482469227579,"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."}}