{"id":"W293848837","doi":"","title":"Over the Hill: Canada's Demographic Challenge","year":2007,"lang":"en","type":"article","venue":"Harvard international review","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Population; Birth rate; Population ageing; Total fertility rate; Dependency ratio; Fertility; Gerontology; Medicine; Family planning; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.004353357,0.00118331,0.001395246,0.003359138,0.02905189,0.01333614,0.004647355,0.007750841,0.03547305],"category_scores_gemma":[0.01145809,0.0006058234,0.001309145,0.006653559,0.0069829,0.006504762,0.006714003,0.01290722,0.006324917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1111706,"about_ca_system_score_gemma":0.4112048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940562,"about_ca_topic_score_gemma":0.996795,"domain_scores_codex":[0.993625,0.0004650726,0.0001974027,0.0004603332,0.002382142,0.002869969],"domain_scores_gemma":[0.9796904,0.0009929402,0.0002895794,0.0003024706,0.008317696,0.01040684],"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":[0.00001547337,0.00001947162,0.002189327,0.0001080311,0.00001241808,0.0001342929,0.0009190759,0.00006521751,0.00003514297,0.0107857,0.9577655,0.0279504],"study_design_scores_gemma":[0.00002196753,0.00001259603,0.009813804,0.0006549481,0.00002514141,0.0001367124,0.006758009,0.000188986,0.00003376996,0.005528194,0.976762,0.00006373847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002428808,0.02600534,0.0002716105,0.9198124,0.006255128,0.00005535812,0.004058911,0.0001594582,0.04095306],"genre_scores_gemma":[0.1008815,0.1226703,0.00428748,0.5928932,0.007822697,0.0002693702,0.009504323,0.0005283778,0.1611428],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1111706,"threshold_uncertainty_score":0.8066027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04545054580020819,"score_gpt":0.4338544453055045,"score_spread":0.3884038995052963,"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."}}