{"id":"W6957779977","doi":"10.6068/dp14ba8b6346715","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: Persons not in census families, Amount of income, Canada Pension Plan (CPP) and Quebec Pension Plan (QPP) | 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":"Descriptive statistics; Census; Dependency ratio; Economic statistics; Socioeconomic status; Pension; Population; Demographic 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":[0.002024689,0.002538278,0.002879644,0.007563564,0.003067351,0.004422663,0.005846401,0.00142638,0.08863827],"category_scores_gemma":[0.01545774,0.00187885,0.002316981,0.03603361,0.0005440846,0.002305397,0.002351846,0.003148289,0.04734508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04709728,"about_ca_system_score_gemma":0.09754201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931915,"about_ca_topic_score_gemma":0.9917945,"domain_scores_codex":[0.9966404,0.0002260921,0.0004195904,0.0004670306,0.0014658,0.0007810885],"domain_scores_gemma":[0.9717301,0.001032814,0.000964632,0.0008594493,0.02401341,0.001399667],"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":[0.00003117129,0.000008701534,0.001606922,0.0003214779,0.00002806474,0.000007867714,0.00002712111,0.0001230964,0.000009756471,0.0002969421,0.9955902,0.001948568],"study_design_scores_gemma":[0.0002588001,0.00001840495,0.04736013,0.00126532,0.0001000336,0.00003720782,0.0006069473,0.0005999565,0.0001984473,0.0007452281,0.9487045,0.000104873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006179508,0.00004377655,0.00002040623,0.00008447659,0.00001963402,0.00001460537,0.9990839,0.00004569918,0.0006257471],"genre_scores_gemma":[0.0007505614,0.00024378,0.0003049196,0.0001207012,0.00001489059,0.0001377449,0.9952034,0.00007708139,0.003147023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08863827,"threshold_uncertainty_score":0.3417163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302313109698674,"score_gpt":0.2215783359112139,"score_spread":0.1985552048142272,"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."}}