{"id":"W2008272624","doi":"10.1016/j.annepidem.2005.09.006","title":"Estimating the Incidence of Dementia: The Impact of Adjusting for Subject Attrition Using Health Care Utilization Data","year":2005,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Manitoba","funders":"","keywords":"Medicine; Attrition; Dementia; Incidence (geometry); Environmental health; Gerontology; Disease; Dentistry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006864552,0.0000903758,0.0004434531,0.00007959156,0.0001200907,0.000001925755,0.0002385652,0.00004968116,0.00003062252],"category_scores_gemma":[0.01101642,0.00005108691,0.0001328095,0.0001929999,0.0002336301,0.0001116565,0.0001366913,0.0001093202,3.427449e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000024797,"about_ca_system_score_gemma":0.0003005434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168208,"about_ca_topic_score_gemma":0.00006496778,"domain_scores_codex":[0.9978594,0.0006627325,0.000784948,0.0002015796,0.0001484802,0.0003428311],"domain_scores_gemma":[0.9954599,0.002681901,0.0007327821,0.0004357417,0.0006391709,0.00005051198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004760945,0.0002044598,0.8276009,0.001116842,0.0005189723,5.123596e-7,0.001005665,0.006026783,0.003886294,0.0003082522,0.004046469,0.1548087],"study_design_scores_gemma":[0.0009488862,0.002040657,0.6497307,0.0007619077,0.000231531,0.00002409411,0.001292115,0.3384141,0.005676505,0.0006592405,0.0001348962,0.00008535944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336462,0.008579181,0.05266923,0.004075063,0.00002919123,0.0008179322,0.0001122,0.000005886687,0.0000651068],"genre_scores_gemma":[0.9877615,0.0003027379,0.01091414,0.0006416722,0.0001194722,0.00001184441,0.0002377738,0.000008080987,0.000002768926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3323873,"threshold_uncertainty_score":0.9973142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5015244978468091,"score_gpt":0.5689839077419726,"score_spread":0.06745940989516352,"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."}}