{"id":"W6976887683","doi":"10.6068/dp14ba8ea2a6414","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Seniors' characteristics, by family type, age of oldest individual and source of income | Variable: 75 years and over, Lone-parent families and persons not in census families, Number in family type, Registered Retirement Savings Plan (RRSP) | Units: , 2000-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Demographic statistics; Socioeconomic status; Population; Population statistics; Official statistics; Economic statistics; Descriptive statistics; Summary statistics; Fertility","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":[0.002381109,0.002527018,0.003017526,0.007867757,0.003303096,0.00448304,0.006035498,0.001378118,0.07667094],"category_scores_gemma":[0.01699365,0.001949842,0.002428887,0.03753511,0.0005765062,0.002305303,0.002361697,0.003293877,0.04260858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05410498,"about_ca_system_score_gemma":0.1197951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949705,"about_ca_topic_score_gemma":0.9934704,"domain_scores_codex":[0.996015,0.0002864921,0.0005037058,0.000502146,0.001753904,0.0009387936],"domain_scores_gemma":[0.9640509,0.001127822,0.00122995,0.00096796,0.03078354,0.001839902],"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":[0.0000376464,0.00001032525,0.002035626,0.0003415896,0.00003145211,0.000008363687,0.00003496161,0.0001258737,0.00001082545,0.000331233,0.9949214,0.002110653],"study_design_scores_gemma":[0.0002684284,0.00002280814,0.05716653,0.001383227,0.0001108111,0.00003916835,0.0007642526,0.0006013221,0.0002071585,0.0007784392,0.9385433,0.0001144879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008111135,0.00005133496,0.00002456815,0.0001021261,0.0000256663,0.00001953004,0.9989331,0.00004851692,0.0007140213],"genre_scores_gemma":[0.0009725436,0.0002889693,0.0003944521,0.0001531526,0.00001808088,0.0001665502,0.9942516,0.00008602953,0.003668681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07667094,"threshold_uncertainty_score":0.392561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203155890846991,"score_gpt":0.2260631405319111,"score_spread":0.205747551447212,"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."}}