{"id":"W6958099706","doi":"10.6068/dp14ba8aae4e40","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with after-tax income, by sex and age group | Variable: 65 years and over, Persons with after-tax income of $5,000 and over, Females | Units: #, 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Residence; Socioeconomic status; Population statistics; Neighbourhood (mathematics); Economic statistics; Social statistics; Demographic 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":[0.002465946,0.002392337,0.002518823,0.006731831,0.003160751,0.004447892,0.004969453,0.001370232,0.1024383],"category_scores_gemma":[0.01785913,0.001762962,0.002215287,0.03102446,0.0006056501,0.002257542,0.002570329,0.003214725,0.05485081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05300157,"about_ca_system_score_gemma":0.1357338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951475,"about_ca_topic_score_gemma":0.9933676,"domain_scores_codex":[0.9965083,0.0003002827,0.0003987119,0.0003933118,0.001628031,0.0007713799],"domain_scores_gemma":[0.9703456,0.0009057634,0.0006208786,0.0008202291,0.02595538,0.001352345],"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":[0.00002394297,0.000006275978,0.0007982726,0.0002467125,0.00002124321,0.000007485454,0.0000266352,0.0001543994,0.000009742615,0.0004435634,0.9953176,0.002944181],"study_design_scores_gemma":[0.0001767397,0.00001378538,0.01919489,0.001002797,0.00007836608,0.00003564506,0.0004879716,0.0008604783,0.0001802306,0.0009374225,0.9769295,0.0001021197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007876733,0.00009522017,0.00008030899,0.0002166495,0.00006358486,0.00003664978,0.9973034,0.0001348881,0.001990456],"genre_scores_gemma":[0.001486604,0.0005990046,0.001213295,0.0002995736,0.00003000899,0.0002682545,0.9889448,0.0002514959,0.006906883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1024383,"threshold_uncertainty_score":0.3845551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163750036047401,"score_gpt":0.2300507884784681,"score_spread":0.2184132881179941,"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."}}