{"id":"W2980722074","doi":"10.1016/j.jalz.2019.06.1170","title":"P1‐565: ESTIMATING THE FUTURE PREVALENCE OF DEMENTIA IN CANADA: AN INTERNAL VALIDATION OF SHORT‐TERM PROJECTION METHODS USING ADMINISTRATIVE HEALTH DATA","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Dementia; Census; Incidence (geometry); Medicine; Demography; Projections of population growth; Population; Mortality rate; Gerontology; Disease; Environmental health; Population growth; Mathematics; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.04298353,0.001268447,0.0006132381,0.001981426,0.002926219,0.003947789,0.003923254,0.0008506642,0.003606274],"category_scores_gemma":[0.1564668,0.0006589812,0.002636097,0.004776414,0.001502849,0.00158343,0.003374312,0.001926119,0.0007827873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01903411,"about_ca_system_score_gemma":0.04502872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9399272,"about_ca_topic_score_gemma":0.8863444,"domain_scores_codex":[0.9792395,0.008090898,0.00136562,0.003179085,0.007513973,0.000610914],"domain_scores_gemma":[0.8995522,0.03740448,0.006632008,0.007696552,0.04747632,0.001238348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007180943,0.0001781456,0.8226236,0.0008657004,0.002286804,0.0001865621,0.002204304,0.06369761,0.0004681054,0.00688719,0.01729838,0.08258544],"study_design_scores_gemma":[0.0002417682,0.0003218163,0.6138811,0.001136356,0.0007344569,0.0003046146,0.001998099,0.3459179,0.002752868,0.005278219,0.02718685,0.0002459626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736174,0.002886202,0.1210942,0.004355457,0.0004112745,0.00335243,0.06459367,0.001583683,0.02810567],"genre_scores_gemma":[0.9011303,0.0005867497,0.07634709,0.0004495333,0.00005086789,0.001028527,0.01798818,0.0002200463,0.002198675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06007278,"threshold_uncertainty_score":0.2273214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1675424266366979,"score_gpt":0.4675054523168926,"score_spread":0.2999630256801947,"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."}}