{"id":"W6901399312","doi":"10.6068/dp14ba7c4212498","title":"Most Recent Data (2009). Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | 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: 075-001-114.","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; Socioeconomic status; Health statistics; Official statistics; Population; Summary statistics; Economic statistics; Population statistics; Population ageing","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":[0.002638545,0.002494794,0.002930034,0.006809092,0.003452477,0.004800317,0.00549136,0.001836469,0.1355807],"category_scores_gemma":[0.02433453,0.001874933,0.00257738,0.03939782,0.0007384081,0.002455256,0.002559861,0.003483799,0.07620636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05227953,"about_ca_system_score_gemma":0.1274271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933876,"about_ca_topic_score_gemma":0.991299,"domain_scores_codex":[0.9953625,0.0003440102,0.0005723088,0.0005601127,0.00214892,0.001012205],"domain_scores_gemma":[0.9586418,0.002070527,0.001080013,0.001271347,0.03489374,0.002042642],"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":[0.00002045294,0.000006180787,0.0006167336,0.0002557414,0.00001459009,0.000004558748,0.0000142479,0.0000794144,0.000006918807,0.0001916591,0.9976362,0.001153292],"study_design_scores_gemma":[0.0002711011,0.00001455913,0.02293647,0.001189471,0.00008568137,0.00002694308,0.000419519,0.0004186441,0.0001599123,0.0006948251,0.9736744,0.0001085312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002553019,0.00003683488,0.00001421899,0.0001013085,0.00002166182,0.00001243039,0.9991347,0.0000394953,0.0006138325],"genre_scores_gemma":[0.0006133841,0.0002627947,0.0003754886,0.0002080337,0.00001805477,0.0001473453,0.9952122,0.0001009001,0.003061836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1355807,"threshold_uncertainty_score":0.4535627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692854777584909,"score_gpt":0.2700030836349857,"score_spread":0.2430745358591365,"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."}}