{"id":"W6920242894","doi":"10.6068/dp14ba8a7c7f376","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 income, by sex, age group, income taxes paid and after-tax income | Variable: 0 to 24 years, Number of taxfilers and dependents, Income taxes paid, Males | 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; Demographic statistics; Population statistics; Neighbourhood (mathematics); Economic statistics; Social 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":[0.002380129,0.002271493,0.002512886,0.006904629,0.003079258,0.004195959,0.004837888,0.001323962,0.0944322],"category_scores_gemma":[0.0168647,0.00167851,0.002188779,0.030848,0.0005977303,0.002086439,0.002487119,0.003094003,0.04889461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05276194,"about_ca_system_score_gemma":0.1385606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955736,"about_ca_topic_score_gemma":0.9939547,"domain_scores_codex":[0.9967217,0.0002753013,0.0003703711,0.0003726016,0.001515225,0.0007448626],"domain_scores_gemma":[0.9721106,0.0008671088,0.0006237666,0.0007734167,0.02430082,0.001324322],"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":[0.00002613781,0.000006714909,0.0009244283,0.0002707132,0.00002445481,0.00000810877,0.00003070072,0.0001696021,0.00001102035,0.0004578142,0.9950137,0.003056579],"study_design_scores_gemma":[0.0001996961,0.0000151238,0.02378497,0.001070239,0.0000910719,0.00003841698,0.0005455128,0.0009859214,0.0002008538,0.0009727035,0.9719846,0.00011084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009132669,0.00008957105,0.00007798092,0.0002024599,0.00005550857,0.00003367372,0.9976197,0.0001334157,0.001696256],"genre_scores_gemma":[0.001564429,0.0005270528,0.001191718,0.0002769444,0.00002721267,0.0002599665,0.989447,0.0002283331,0.006477371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0944322,"threshold_uncertainty_score":0.3828165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187488367629964,"score_gpt":0.2353631006622962,"score_spread":0.2234882169859966,"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."}}