{"id":"W6976535833","doi":"10.6068/dp14ba880e6b648","title":"Trend 2000 - 2011. 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: 45 to 54 years, Persons with income of $50,000 and over, Males | Units: #, 2000-2011. 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; Socioeconomic status; Residence; Population statistics; Economic statistics; Neighbourhood (mathematics); 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":[0.00233659,0.002331523,0.002482231,0.006440482,0.003155087,0.00444857,0.005161854,0.001397268,0.1059976],"category_scores_gemma":[0.01745655,0.001698734,0.002219717,0.03039701,0.0005812376,0.002333339,0.002559437,0.003239133,0.06068964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04799863,"about_ca_system_score_gemma":0.1190985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947189,"about_ca_topic_score_gemma":0.9928732,"domain_scores_codex":[0.9967783,0.0002834613,0.0003770982,0.0003912385,0.001450945,0.0007188577],"domain_scores_gemma":[0.9730199,0.0008260892,0.0005862678,0.0008138405,0.02347921,0.001274797],"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":[0.00002474947,0.000005990194,0.0008022909,0.0002495292,0.00002164416,0.000007709958,0.00002845269,0.0001483841,0.000009455055,0.000411735,0.9955004,0.002789481],"study_design_scores_gemma":[0.0001872658,0.00001302297,0.01895225,0.0009777561,0.00007947095,0.00003568493,0.0004885581,0.0008133081,0.000174811,0.0009808268,0.9771946,0.0001025288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006831327,0.00007828594,0.00006978157,0.000185194,0.00005285767,0.00003173383,0.9976847,0.0001270993,0.001701971],"genre_scores_gemma":[0.001248449,0.0004653108,0.001035886,0.0002552465,0.00002588277,0.0002466906,0.9904938,0.00022201,0.006006746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1059976,"threshold_uncertainty_score":0.3545972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161456782235513,"score_gpt":0.2274405230312926,"score_spread":0.2158259552089374,"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."}}