{"id":"W6920317143","doi":"10.6068/dp14ba7bf72cd55","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: 45 to 54 years, Cataracts, Both sexes | 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; Summary statistics; Economic 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":[0.002414029,0.002260154,0.002700665,0.006959777,0.003630423,0.004907915,0.005022055,0.001608128,0.1358817],"category_scores_gemma":[0.02142391,0.001796896,0.00228561,0.04012587,0.0006737133,0.002478276,0.002618551,0.003402026,0.07711454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05511558,"about_ca_system_score_gemma":0.1415306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947055,"about_ca_topic_score_gemma":0.992853,"domain_scores_codex":[0.9958919,0.0002708418,0.0005041125,0.0004475011,0.001986205,0.000899506],"domain_scores_gemma":[0.9593362,0.001417225,0.0008348204,0.001016463,0.03558117,0.001814178],"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":[0.0000175537,0.000005946695,0.0006206659,0.0002229101,0.00001231652,0.000005048512,0.00001906252,0.0000734156,0.000006864175,0.0002352458,0.997238,0.001542941],"study_design_scores_gemma":[0.0002241363,0.00001332386,0.02597881,0.001098045,0.00007758533,0.00003018257,0.0005219108,0.0004099675,0.0001661096,0.0007072695,0.9706663,0.0001063392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003952645,0.00004916135,0.00002498004,0.0001343743,0.00003608571,0.00002098797,0.9985018,0.0000581504,0.001134938],"genre_scores_gemma":[0.0009332624,0.0003977728,0.0006298596,0.0002698335,0.00002606711,0.0002207572,0.9920365,0.0001521741,0.005333761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1358817,"threshold_uncertainty_score":0.4545696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263360782156657,"score_gpt":0.2517440529720892,"score_spread":0.2291104451505227,"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."}}