{"id":"W6901393882","doi":"10.6068/dp14ba82fe1cb98","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, by family type, age of older adult, and family income | Variable: 0 to 24 years, Persons not in census families, $25,000 and over | Units: #, 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":"Census; Socioeconomic status; Demographic statistics; Population; Economic statistics; Official statistics; Population statistics; Family income; Fertility; Summary 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":[0.002095314,0.002540513,0.002892656,0.007311657,0.003469475,0.004812659,0.00666256,0.001477703,0.08941469],"category_scores_gemma":[0.01626409,0.001877659,0.002506474,0.03536419,0.0005937818,0.002383179,0.002526591,0.003241483,0.04680069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04908937,"about_ca_system_score_gemma":0.09954733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945177,"about_ca_topic_score_gemma":0.9934477,"domain_scores_codex":[0.9965776,0.0002441977,0.0004035904,0.0004768918,0.001391935,0.0009059522],"domain_scores_gemma":[0.9717551,0.001045593,0.000940648,0.0009118321,0.02378412,0.001562675],"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":[0.00003236709,0.000008972243,0.001905445,0.0002991134,0.00002775486,0.00000851104,0.00003431837,0.0001226016,0.000009179251,0.000330225,0.9953467,0.001874752],"study_design_scores_gemma":[0.0002608868,0.00001780968,0.04713682,0.001315023,0.00009570453,0.00003984125,0.0007742957,0.0006362774,0.0001938404,0.0008697943,0.948545,0.000114541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006783161,0.00003987158,0.00002216804,0.00008548843,0.00001925699,0.00001502483,0.999081,0.00004821886,0.0006211062],"genre_scores_gemma":[0.0008463616,0.0002138998,0.0003254814,0.0001159012,0.00001351057,0.0001431998,0.9954886,0.00008252031,0.00277051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08941469,"threshold_uncertainty_score":0.35617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240899835419565,"score_gpt":0.2320554922456536,"score_spread":0.2096464938914579,"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."}}