{"id":"W6938885685","doi":"10.6068/dp14ba8dc7cbc69","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, economic dependency profile, by family type and source of income | Variable: Female partners in couple families, Amount of income, Goods and Services Tax Credit (GST) and Harmonized Sales Tax Credit (HST) | Units: $CAD x 1,000, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Demographic statistics; Census; Socioeconomic status; Population; Dependency ratio; Summary statistics; Population statistics; Personal income","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":[0.002141715,0.002466814,0.002835799,0.007549563,0.003230763,0.004346363,0.006068217,0.001409548,0.07816403],"category_scores_gemma":[0.01573229,0.001850672,0.002363332,0.03630757,0.0005780215,0.00224253,0.002346886,0.003209116,0.04082388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05154726,"about_ca_system_score_gemma":0.1060239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945737,"about_ca_topic_score_gemma":0.9933223,"domain_scores_codex":[0.9965354,0.0002432794,0.0004202422,0.0004690526,0.001482799,0.0008491562],"domain_scores_gemma":[0.9695142,0.00104511,0.001025715,0.0008489717,0.02608734,0.001478594],"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":[0.00003465616,0.000009948731,0.002064987,0.0003496942,0.00003112424,0.000008913903,0.0000335745,0.0001367278,0.00001107838,0.0003542819,0.9949307,0.002034268],"study_design_scores_gemma":[0.0002535324,0.00001952426,0.05491996,0.001303817,0.0001042739,0.00003915854,0.0007585353,0.0006399493,0.0002151439,0.0007686498,0.9408638,0.0001136664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007862421,0.00004683922,0.0000221744,0.00009366018,0.00002175787,0.00001699027,0.9990293,0.00004429872,0.0006464087],"genre_scores_gemma":[0.0008880372,0.0002448001,0.0003273501,0.0001252531,0.00001489951,0.0001467118,0.9950224,0.00007201489,0.003158464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07816403,"threshold_uncertainty_score":0.3740033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151119609062853,"score_gpt":0.2383268145872493,"score_spread":0.2168156184966207,"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."}}