{"id":"W6957789508","doi":"10.6068/dp14ba7fff26749","title":"Most Recent Data (2009). Statistics Canada. CANSIM: Population and Demography - Population Aging | Country: Canada | Table: Healthy aging indicators, by age group and sex, household population aged 45 and over | Variable: 75 to 84 years, Mouth unhealthy, Females | Units: # Persons, 2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-161.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Population ageing; Socioeconomic status; Population statistics; Official statistics; Economic statistics; Summary statistics","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":[0.002433812,0.002247041,0.002683279,0.00699481,0.003693021,0.004971615,0.005038762,0.001605115,0.1339733],"category_scores_gemma":[0.02157911,0.001787607,0.00227225,0.04070207,0.0006816176,0.002480412,0.002600346,0.003419103,0.07804958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05615956,"about_ca_system_score_gemma":0.1438659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948992,"about_ca_topic_score_gemma":0.9931303,"domain_scores_codex":[0.9959027,0.0002675482,0.0004923389,0.0004418679,0.001987599,0.0009079603],"domain_scores_gemma":[0.9588152,0.001443688,0.0008345227,0.001021215,0.03605765,0.001827735],"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":[0.00001704344,0.000005812723,0.0006271818,0.0002170083,0.00001173161,0.000005045743,0.0000194871,0.00007390338,0.000006716884,0.0002321623,0.9972787,0.001505039],"study_design_scores_gemma":[0.0002157215,0.00001306748,0.02608475,0.001077579,0.00007372927,0.00002896085,0.0005460115,0.0004094227,0.0001633825,0.0006722086,0.97061,0.0001052293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003956237,0.00004807919,0.00002424389,0.0001355069,0.00003625506,0.00002063188,0.9985232,0.00005735424,0.001115255],"genre_scores_gemma":[0.0009332609,0.0003892782,0.000611751,0.0002606289,0.0000261409,0.0002205195,0.9919843,0.0001503727,0.005423813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1339733,"threshold_uncertainty_score":0.4481854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321992715858813,"score_gpt":0.2650976119230294,"score_spread":0.2328983403371481,"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."}}