{"id":"W6901655853","doi":"10.6068/dp14ba892fb0387","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with income by total income, sex and age group | Variable: 65 to 74 years, Persons with income of $100,000 and over, Both sexes | Units: #, 2000-2006. 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; Socioeconomic status; Residence; Population statistics; Social statistics; Neighbourhood (mathematics); Economic 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":[0.002356019,0.002401763,0.002415419,0.006707907,0.003036189,0.004262679,0.00501163,0.001299369,0.1041658],"category_scores_gemma":[0.01745236,0.001669542,0.002055991,0.03128199,0.0005649657,0.002209272,0.002442464,0.003089812,0.05811252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04698483,"about_ca_system_score_gemma":0.1185088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946039,"about_ca_topic_score_gemma":0.9925963,"domain_scores_codex":[0.9968528,0.0002775544,0.0003716852,0.0003838799,0.00143074,0.0006833385],"domain_scores_gemma":[0.9729986,0.0008250091,0.0006104739,0.0007953224,0.02349036,0.001280241],"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":[0.00002313876,0.00000563727,0.0007267256,0.0002225678,0.00001956799,0.000006817214,0.00002644529,0.0001481677,0.000008783505,0.0004070066,0.9956992,0.0027059],"study_design_scores_gemma":[0.0001770652,0.00001262872,0.01697879,0.0008745441,0.00006685231,0.0000325795,0.0004282207,0.000831852,0.0001620793,0.000958985,0.9793834,0.00009297789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006412923,0.00006861872,0.00006864293,0.0001685851,0.00004874025,0.00003031895,0.9978065,0.0001274461,0.001616959],"genre_scores_gemma":[0.00112979,0.0004171079,0.00101571,0.000225545,0.00002322415,0.0002329208,0.9912881,0.0002095846,0.00545808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1041658,"threshold_uncertainty_score":0.3484692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051665866069255,"score_gpt":0.2283272125575016,"score_spread":0.2178105538968091,"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."}}