{"id":"W6957890436","doi":"10.6068/dp14ba8d547da6","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Children and Youth - Low-Income Families | Country: Canada | Table: Family characteristics, economic dependency profile, by family type and source of income | Variable: Male partners in couple families, Number of persons or families, Old Age Security (OAS) and net federal supplements | 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":"Economic statistics; Socioeconomic status; Census; Population; Demographic statistics; Summary statistics; Social statistics; Dependency ratio; Population 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":[0.002425488,0.002418918,0.00282021,0.007923801,0.003841064,0.004737295,0.005986566,0.001547549,0.1098051],"category_scores_gemma":[0.0201629,0.002024004,0.002554529,0.03441466,0.0006304615,0.002536391,0.002647267,0.003261547,0.05085299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05906348,"about_ca_system_score_gemma":0.1344467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954744,"about_ca_topic_score_gemma":0.9942974,"domain_scores_codex":[0.9960969,0.0002830772,0.0004759797,0.0004933426,0.00170792,0.0009429069],"domain_scores_gemma":[0.9633575,0.001379183,0.00112924,0.001038066,0.0310969,0.001999132],"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":[0.00002841323,0.000007122974,0.001261891,0.0002954062,0.00002258574,0.000007163452,0.00002910338,0.00009406833,0.000007506732,0.0003179667,0.9959086,0.002020169],"study_design_scores_gemma":[0.0002633134,0.00001822647,0.03863465,0.001540957,0.0001034237,0.00004161632,0.0007300414,0.0005765033,0.0001892983,0.000830202,0.956947,0.0001246738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006643001,0.00005407514,0.00002609806,0.0001415709,0.0000274999,0.00002289552,0.9986765,0.00006144421,0.0009234682],"genre_scores_gemma":[0.001075426,0.0003816265,0.0005145459,0.0002332473,0.00002201567,0.0002418402,0.9924913,0.000137468,0.00490249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1098051,"threshold_uncertainty_score":0.4285375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558964464934316,"score_gpt":0.2405892671899855,"score_spread":0.2249996225406424,"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."}}