{"id":"W2148502931","doi":"10.1017/s0714980813000275","title":"Validating Chronic Disease Ascertainment Algorithms for Use in the Canadian Longitudinal Study on Aging*","year":2013,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Dalhousie University; McGill University Health Centre; McGill University; Montreal General Hospital; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Algorithm; Disease; Gerontology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05333116,0.001216839,0.001272733,0.00633473,0.002654147,0.003654441,0.00315632,0.001325033,0.002937603],"category_scores_gemma":[0.1451276,0.0006872329,0.00217507,0.00517801,0.0007319772,0.00100778,0.002302681,0.001651344,0.0007645812],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01282735,"about_ca_system_score_gemma":0.03565717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8388645,"about_ca_topic_score_gemma":0.8352352,"domain_scores_codex":[0.9816969,0.006852328,0.002435552,0.002303512,0.005695214,0.001016397],"domain_scores_gemma":[0.939265,0.0191708,0.004040327,0.004277779,0.03224335,0.001002806],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006706635,0.0001869474,0.8060119,0.001000803,0.00122606,0.00006793088,0.001079454,0.01094875,0.0007065267,0.003756859,0.02318172,0.1511624],"study_design_scores_gemma":[0.0004209404,0.0002570668,0.8565409,0.001145664,0.0007278791,0.0001575974,0.001126597,0.09621632,0.001726847,0.003461835,0.0380493,0.0001692188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.465836,0.01191632,0.3557524,0.007011033,0.00178395,0.0205125,0.1075497,0.00365411,0.02598399],"genre_scores_gemma":[0.5411258,0.002676968,0.3999238,0.001407299,0.0001494428,0.009946896,0.04069642,0.0002424773,0.003830915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9871727,"threshold_uncertainty_score":0.3241689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.225016129785601,"score_gpt":0.3698128735869836,"score_spread":0.1447967438013826,"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."}}