{"id":"W2997868979","doi":"10.1093/ije/dyz221","title":"Corrigendum to: Cohort Profile: The Canadian Longitudinal Study on Aging (CLSA)","year":2019,"lang":"en","type":"erratum","venue":"International Journal of Epidemiology","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cohort; Gerontology; Medicine; Cohort study; Longitudinal study; Demography; Internal medicine; Sociology; Pathology","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":[0.005127904,0.002391852,0.003002885,0.006455613,0.004904214,0.004278062,0.004245605,0.008517534,0.1141311],"category_scores_gemma":[0.06711128,0.001588928,0.001903459,0.005210105,0.001460125,0.001551808,0.001935285,0.008284763,0.05471546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0114502,"about_ca_system_score_gemma":0.02653451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4659183,"about_ca_topic_score_gemma":0.5906558,"domain_scores_codex":[0.9947947,0.0005448656,0.001067135,0.0005555931,0.002246586,0.0007911076],"domain_scores_gemma":[0.9414228,0.005037529,0.001633833,0.001925138,0.0468114,0.00316938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005882876,0.000002526832,0.00007723746,0.00002299771,0.000002310359,0.00002299591,0.000003132639,0.000005503866,0.000002256549,0.000042482,0.9987943,0.001018301],"study_design_scores_gemma":[0.0001027443,0.00002005668,0.005932236,0.00071713,0.00007456879,0.0001952485,0.0001268719,0.0002079675,0.00008305971,0.0004182302,0.9920567,0.00006509547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001036239,0.001211703,0.0001447637,0.05769762,0.9285126,0.0001008504,0.007731791,0.0002205108,0.004276643],"genre_scores_gemma":[0.007889097,0.0105842,0.00245982,0.1546766,0.3579398,0.001206326,0.02973614,0.001104995,0.4344031],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5340817,"threshold_uncertainty_score":0.9264126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1452603082571265,"score_gpt":0.4293353832385797,"score_spread":0.2840750749814532,"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."}}