{"id":"W6958035882","doi":"10.6068/dp14ba8d5aaef47","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: Children in couple families, Number of persons or families, Canada Pension Plan (CPP) and Quebec Pension Plan (QPP) | 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":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Economic statistics; Socioeconomic status; Census; Population; Dependency ratio; Pension; Demographic statistics; Summary 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":[0.002074069,0.002464497,0.00268039,0.007879398,0.003483303,0.004536801,0.00555551,0.001469642,0.09867774],"category_scores_gemma":[0.01772488,0.0019044,0.002292814,0.03407089,0.0005810803,0.002367478,0.002485078,0.002955436,0.04739638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05236964,"about_ca_system_score_gemma":0.1133706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948797,"about_ca_topic_score_gemma":0.9936581,"domain_scores_codex":[0.9966821,0.0002276494,0.000421181,0.0004586751,0.001430821,0.0007794951],"domain_scores_gemma":[0.9704984,0.001157463,0.0009759627,0.0008848651,0.02488017,0.001603163],"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":[0.00002770307,0.000006620391,0.001249381,0.0002768006,0.00002269699,0.000007232404,0.00002747527,0.00009474852,0.000007654913,0.0002875127,0.9961051,0.00188705],"study_design_scores_gemma":[0.0002599021,0.00001707267,0.03850555,0.001382039,0.0001020176,0.00004131715,0.0006572197,0.0005632117,0.0001921524,0.0007717392,0.9573931,0.0001146166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005932392,0.00004636461,0.00002083566,0.0001086823,0.00002059557,0.00001700769,0.9989537,0.00005322308,0.0007202415],"genre_scores_gemma":[0.0008582899,0.0003043628,0.0003656575,0.0001664095,0.00001732381,0.0001787493,0.9943491,0.0001029228,0.003657196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09867774,"threshold_uncertainty_score":0.3799701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140111888968406,"score_gpt":0.2021257656186168,"score_spread":0.1907246467289327,"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."}}