{"id":"W4410735239","doi":"10.54194/xljn1015","title":"Lessons from Abroad for Canada’s National Dementia Strategy: Actions for Implementation. Canadian Health Policy, MAY 2025. https://doi.org/10.54194/XLJN1015. canadianhealthpolicy.com.Citation: Sivananthan, Saskia N et al (2025). Lessons from Abroad for Canada’s National Dementia Strategy: Actions for Implementation","year":2025,"lang":"en","type":"article","venue":"Canadian Health Policy","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Dementia; Political science; Gerontology; Library science; Medicine; Law; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001916183,0.0006357182,0.0007763893,0.001206452,0.009732856,0.0005418256,0.0009266748,0.0003048917,0.001346351],"category_scores_gemma":[0.0009254123,0.0008231996,0.0002925875,0.001749606,0.0002537754,0.0007536932,0.00003685752,0.0004108005,0.000009476066],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0406966,"about_ca_system_score_gemma":0.6319669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999998,"about_ca_topic_score_gemma":0.9999999,"domain_scores_codex":[0.9917661,0.0004058245,0.001617045,0.0012824,0.00131979,0.00360886],"domain_scores_gemma":[0.9915572,0.001336909,0.001121937,0.0003737163,0.001815197,0.003794987],"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":[0.0000244329,0.00002001154,0.0008845529,0.00005332405,0.000280149,5.580887e-7,0.001857718,0.000296329,0.000003863654,0.2657366,0.7228661,0.007976355],"study_design_scores_gemma":[0.001890354,0.0001453176,0.07340512,0.00005697265,0.00009122757,3.234455e-7,0.01914473,0.0003085421,0.000008986928,0.01237111,0.8919815,0.0005958016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00181979,0.0008497062,0.001154308,0.8258629,0.001988648,0.006273847,0.157909,0.00005332249,0.004088492],"genre_scores_gemma":[0.7645705,0.0006658703,0.002061785,0.1908643,0.003706834,0.004592702,0.02291534,0.0001305981,0.01049213],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7627507,"threshold_uncertainty_score":0.9995666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358576362747982,"score_gpt":0.5206406622946204,"score_spread":0.3847830260198222,"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."}}