{"id":"W6957707919","doi":"10.6068/dp14ba8b991bd75","title":"Trend 2007 - 2011. 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: 0 to 34 years, Lone-parent families and persons not in census families, Number in family type, Other income | Units: , 2007-2011. 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; Demographic statistics; Socioeconomic status; Population; Official statistics; Population statistics; Economic 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":[0.002317662,0.002460771,0.002925924,0.007640207,0.003465923,0.004686275,0.006186294,0.00139868,0.08248126],"category_scores_gemma":[0.01728682,0.001930234,0.002472283,0.03727359,0.0005925188,0.002329331,0.002515117,0.003335231,0.04401299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05131353,"about_ca_system_score_gemma":0.1119758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945727,"about_ca_topic_score_gemma":0.9934865,"domain_scores_codex":[0.9961004,0.0002787402,0.0004740469,0.0004880226,0.001697577,0.0009611719],"domain_scores_gemma":[0.9652942,0.001250421,0.001157925,0.0009903169,0.02948892,0.001818173],"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":[0.00003052246,0.000009689706,0.002015991,0.0003058166,0.00002857062,0.000008063311,0.00003520711,0.0001076589,0.000009491928,0.0003222193,0.9952074,0.001919296],"study_design_scores_gemma":[0.0002547709,0.00002045127,0.05590184,0.001389784,0.0001039604,0.00004123859,0.0008638766,0.0005942948,0.0002034449,0.0008099697,0.9396989,0.0001175073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008071401,0.00004560293,0.00002393977,0.0001010264,0.00002316475,0.00001767733,0.9989709,0.00004849872,0.0006885224],"genre_scores_gemma":[0.0009430397,0.0002526967,0.0003665704,0.0001428498,0.00001651756,0.0001613728,0.9947485,0.00009086407,0.003277521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08248126,"threshold_uncertainty_score":0.3723074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755490552680999,"score_gpt":0.2464871341769273,"score_spread":0.2189322286501174,"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."}}