{"id":"W6957868238","doi":"10.6068/dp14ba852f12a26","title":"Trend 2010 - 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: Children in couple families, Amount of income, Other government transfers | Units: $CAD x 1,000, 2010-2011. 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; Socioeconomic status; Census; Demographic statistics; Population; Dependency ratio; Official statistics; Summary statistics; 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":[0.002192552,0.002513492,0.002782196,0.007536166,0.003443768,0.004823004,0.006305936,0.001409848,0.09813996],"category_scores_gemma":[0.01732127,0.001862243,0.002444809,0.03699694,0.0006018069,0.002403558,0.002574414,0.003228862,0.05032024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05081006,"about_ca_system_score_gemma":0.1073767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941404,"about_ca_topic_score_gemma":0.9928849,"domain_scores_codex":[0.9963653,0.0002551913,0.0004045389,0.0004772196,0.001551125,0.0009466339],"domain_scores_gemma":[0.9692904,0.001253316,0.0009953029,0.0009704757,0.02585189,0.001638538],"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":[0.00002843562,0.000008082888,0.001620697,0.0002787556,0.00002458494,0.000007763724,0.00003166139,0.0001218898,0.000009425516,0.0003352434,0.9957101,0.001823247],"study_design_scores_gemma":[0.0002167334,0.00001525379,0.03929127,0.001207296,0.00008376729,0.00003351191,0.0007242451,0.0005809661,0.0001971166,0.0008161294,0.9567275,0.0001061692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006187042,0.00003707256,0.00002280896,0.00008553253,0.00001937112,0.00001360471,0.9990578,0.00005204003,0.0006497763],"genre_scores_gemma":[0.0008014595,0.0002218891,0.0003561935,0.0001108709,0.00001385729,0.000137182,0.9951206,0.0001029672,0.003134949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09813996,"threshold_uncertainty_score":0.3686545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463335679841092,"score_gpt":0.2112924307026431,"score_spread":0.1966590739042322,"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."}}