{"id":"W2048381089","doi":"10.4236/aar.2012.12005","title":"Canadian provincial, territorial, and federal government aging policies: A systematic review","year":2012,"lang":"en","type":"review","venue":"Advances in Aging Research","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Government (linguistics); Population ageing; Population; Political science; Public policy; Plan (archaeology); Older people; Economic growth; Geography; Gerontology; Medicine; Demography; Sociology; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.006590181,0.000336574,0.001634935,0.0003074005,0.001506335,0.0003390493,0.000633798,0.0001581552,0.00002379438],"category_scores_gemma":[0.00164793,0.0002751265,0.0001444987,0.0008630771,0.0003448355,0.0005549604,0.0002020044,0.0007311256,0.00002748326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118599,"about_ca_system_score_gemma":0.002634137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6354273,"about_ca_topic_score_gemma":0.9202586,"domain_scores_codex":[0.993935,0.001930287,0.000770057,0.0004915442,0.001611396,0.001261744],"domain_scores_gemma":[0.9978771,0.0008912658,0.000286137,0.0003795821,0.0001567561,0.0004091597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[4.308491e-7,0.00002825795,0.0003424042,0.836568,0.00004396001,0.00001388786,0.02488425,3.945252e-8,5.613348e-9,0.002772182,0.002357315,0.1329893],"study_design_scores_gemma":[0.00002924901,0.000007888891,0.000004291791,0.2953059,0.0001103637,0.000002710304,0.0008841723,2.035575e-7,1.281695e-8,0.0001694493,0.7032837,0.0002020235],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004176688,0.9879726,0.000001544435,0.0004744891,0.0008098438,0.00325511,0.00002429584,0.00003240244,0.007425499],"genre_scores_gemma":[0.0001430673,0.9941262,0.0000490439,0.0001117634,0.001959437,0.0009382705,0.000008246241,0.00003719872,0.002626753],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7009264,"threshold_uncertainty_score":0.9999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07125034538145744,"score_gpt":0.448833731660406,"score_spread":0.3775833862789486,"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."}}