{"id":"W6938780700","doi":"10.6068/dp14ba882c21632","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Children and Youth - Low-Income Families | Country: Canada | Table: Family characteristics, single-earner and dual-earner families, by number of children | Variable: Families with 2 children, Median employment income, Dual-earner couple families | Units: $CAD, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-029.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Social statistics; Summary statistics; Economic statistics; Population; Statistics education; Population statistics; Official 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":[0.002396641,0.002455417,0.002803676,0.008319007,0.003833505,0.004837472,0.005816628,0.001518636,0.1025745],"category_scores_gemma":[0.02032301,0.002013389,0.00257174,0.0363253,0.0006392073,0.002603388,0.002495603,0.003276913,0.04942354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05685628,"about_ca_system_score_gemma":0.1376104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956643,"about_ca_topic_score_gemma":0.9942912,"domain_scores_codex":[0.9960846,0.0002705338,0.0004854373,0.0005009308,0.001705595,0.0009528932],"domain_scores_gemma":[0.9654341,0.001324758,0.00103727,0.001055758,0.02931093,0.001837188],"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":[0.00003054823,0.000007087117,0.00142127,0.0003096915,0.00002396128,0.000007657951,0.00002998169,0.0001040934,0.000008629294,0.0003449317,0.9955042,0.002207983],"study_design_scores_gemma":[0.0002563554,0.00001786601,0.03783592,0.001492595,0.0001027228,0.00004261123,0.0006898975,0.0006329814,0.0002021437,0.0008844877,0.9577166,0.0001256986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006589141,0.00005617108,0.00002721844,0.0001380776,0.00002858271,0.00002136217,0.9986629,0.00006781486,0.0009319134],"genre_scores_gemma":[0.001125472,0.0004066108,0.000542866,0.0002284504,0.00002197696,0.0002187659,0.9926848,0.0001488975,0.004622217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1025745,"threshold_uncertainty_score":0.4125231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211812393195571,"score_gpt":0.2166542984412855,"score_spread":0.2045361745093298,"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."}}