{"id":"W6901387600","doi":"10.6068/dp14ba8ac7bc672","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 $35,000 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002474373,0.002396349,0.002525564,0.006742492,0.003159086,0.004455094,0.004976543,0.001373077,0.1023912],"category_scores_gemma":[0.01792475,0.001765906,0.002217186,0.03106464,0.0006061785,0.00225933,0.002575813,0.003221449,0.05483644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05294892,"about_ca_system_score_gemma":0.1356594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951296,"about_ca_topic_score_gemma":0.9933437,"domain_scores_codex":[0.9965096,0.000301082,0.0004001665,0.0003940403,0.001624433,0.0007706603],"domain_scores_gemma":[0.9703133,0.0009100912,0.0006229077,0.0008240326,0.02597359,0.001356172],"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":[0.00002408541,0.000006288485,0.0008007759,0.0002481684,0.00002139807,0.000007520527,0.00002675811,0.0001549513,0.00000977733,0.0004430466,0.9953077,0.002949405],"study_design_scores_gemma":[0.0001777828,0.00001380215,0.01919397,0.00100702,0.00007869775,0.00003574191,0.0004881715,0.0008609626,0.0001802,0.0009404979,0.9769206,0.0001024727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007845673,0.00009514909,0.00008031161,0.0002163108,0.00006345941,0.0000366168,0.9973206,0.0001348493,0.001974248],"genre_scores_gemma":[0.001481022,0.000598008,0.001213932,0.0002992168,0.00002994045,0.0002688803,0.9890075,0.0002513936,0.006850213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8976088,"threshold_uncertainty_score":0.3841731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163732412654149,"score_gpt":0.2300436598492089,"score_spread":0.2184063357226674,"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."}}