{"id":"W2620712415","doi":"10.1017/cjn.2017.149","title":"P.065 Alzheimer’s disease (AD) and dementias in Canada: First national surveillance data from the Canadian Chronic Disease Surveillance System (CCDSS)","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Epidemiology; Dementia; Incidence (geometry); Disease; Demography; Disease surveillance; Population; Prevalence; Medical prescription; Gerontology; Public health; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000960213,0.0005055842,0.0004289869,0.003426838,0.002645563,0.001735768,0.001077011,0.0005011765,0.008304112],"category_scores_gemma":[0.003952188,0.0003432891,0.000655418,0.007329711,0.000496014,0.000377657,0.0009148913,0.0007982026,0.001600105],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03459907,"about_ca_system_score_gemma":0.08792602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972861,"about_ca_topic_score_gemma":0.9980443,"domain_scores_codex":[0.998724,0.00005483568,0.00007998611,0.0000868516,0.0008049487,0.0002493249],"domain_scores_gemma":[0.9940105,0.0001984797,0.0003764429,0.0001126593,0.004608874,0.000693026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002000418,0.0001048476,0.5512658,0.0008517696,0.0001643178,0.0002725337,0.0005149954,0.0008112302,0.0004116378,0.001207483,0.3660905,0.07810483],"study_design_scores_gemma":[0.00004756312,0.0000399107,0.9247944,0.0004330046,0.00009002203,0.0001623753,0.0005407504,0.00124562,0.0002458242,0.0001995847,0.07216995,0.00003096267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1589004,0.0124978,0.001728943,0.01203505,0.0005684796,0.0009362291,0.7325699,0.0005950331,0.08016822],"genre_scores_gemma":[0.6034264,0.01413232,0.009158609,0.003768652,0.0003293614,0.000609282,0.3389915,0.0001866549,0.02939725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9654009,"threshold_uncertainty_score":0.251035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2109163870892019,"score_gpt":0.4076683263198578,"score_spread":0.1967519392306559,"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."}}