{"id":"W6901641338","doi":"10.6068/dp14ba8cc209e38","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Family characteristics, Low Income Measures, by family type and family type composition | Variable: Number of persons, Family types with 3 or more children, Couple families, Before-tax income | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-119.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personal income; Socioeconomic status; Economic statistics; Official statistics; Family income; Population; Total personal income; Census; Household income; Summary 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":[0.002154897,0.002373959,0.00273986,0.007986963,0.0031858,0.004771023,0.005493717,0.001485429,0.08099227],"category_scores_gemma":[0.01884938,0.001774121,0.002215833,0.03783433,0.0006099543,0.002479435,0.002546515,0.003327698,0.05000535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04790943,"about_ca_system_score_gemma":0.1051013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930766,"about_ca_topic_score_gemma":0.9916672,"domain_scores_codex":[0.9963806,0.0002533202,0.0004244966,0.0004918525,0.001607333,0.0008424533],"domain_scores_gemma":[0.9706725,0.001219675,0.0009787262,0.001002604,0.02475495,0.001371489],"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":[0.0000235127,0.000005733765,0.001092621,0.00025457,0.00002225834,0.000006381135,0.00002345704,0.0001047864,0.000007451202,0.0003658018,0.9965608,0.001532754],"study_design_scores_gemma":[0.000178,0.00001177448,0.02779824,0.001012446,0.00007593282,0.00003107765,0.0004780511,0.000525948,0.0001734073,0.0008180359,0.9687971,0.00009997644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004649254,0.0000407526,0.00001961736,0.00009043008,0.00001713751,0.00001183719,0.9991549,0.00004848874,0.0005702222],"genre_scores_gemma":[0.0006214225,0.0002026307,0.0002990846,0.0001024025,0.00001172557,0.0001094898,0.9960846,0.00007775993,0.002490893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08099227,"threshold_uncertainty_score":0.3476089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059603127570073,"score_gpt":0.2381148038434498,"score_spread":0.2175187725677491,"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."}}