{"id":"W2972265869","doi":"10.1093/ije/dyz173","title":"Cohort Profile: The Canadian Longitudinal Study on Aging (CLSA)","year":2019,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":532,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Bruyère; Centres Intégré Universitaires de Santé et de Services Sociaux; University of Manitoba; University of British Columbia; Alberta Health; Dalhousie University; Simon Fraser University; University of Ottawa; McGill University; McGill University Health Centre; Alberta Health Services; St. John’s Health Sciences Centre; Université de Sherbrooke; McMaster University; University of Calgary; University of Victoria; Impact","funders":"Ontario Ministry of Transportation; Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Canada Foundation for Innovation","keywords":"Cohort; Cohort study; Medicine; Gerontology; Longitudinal study; Demography; Internal medicine; Pathology","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":[0.007882124,0.00007107877,0.0002601595,0.0001509063,0.0002603839,0.00003403705,0.0006503892,0.00006854505,0.0008745829],"category_scores_gemma":[0.00429997,0.00004594338,0.00009861896,0.00006948952,0.0001229713,0.0001095134,0.00002788821,0.000368006,0.0001135811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005187359,"about_ca_system_score_gemma":0.0008676591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2753154,"about_ca_topic_score_gemma":0.4348854,"domain_scores_codex":[0.9976424,0.0009540195,0.0005336159,0.0001170711,0.0003923921,0.0003604913],"domain_scores_gemma":[0.996326,0.002615453,0.0003582934,0.0001065913,0.0003736436,0.0002199883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001740473,0.0000256631,0.9344289,0.0000011745,0.00009204866,0.00002809747,0.0008709247,0.00004284117,1.230267e-7,0.05645728,0.006947687,0.00108786],"study_design_scores_gemma":[0.0001914449,0.00008573259,0.9082041,0.00002551667,0.000008620465,0.00001655796,0.001691776,0.00001451424,3.351415e-7,0.001904338,0.08781347,0.0000435471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8289635,0.0001472521,0.00003667124,0.1396869,0.005702595,0.0002999894,0.000007500794,0.000005801794,0.02514984],"genre_scores_gemma":[0.9850455,0.00006651443,0.00008557344,0.01279895,0.001059655,0.000004041347,0.000001456052,0.000004812173,0.0009334745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.15957,"threshold_uncertainty_score":0.9576069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1646518248003988,"score_gpt":0.4826248311374556,"score_spread":0.3179730063370567,"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."}}