{"id":"W6901569408","doi":"10.6068/dp14ba8df72ec80","title":"Trend 2000 - 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: 65 years and over, Lone-parent families and persons not in census families, Number in family type, Wages, salaries and commissions | 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; Demographic statistics; Socioeconomic status; Population; Population statistics; Official 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":[0.002390368,0.002513719,0.003016373,0.007816466,0.003343792,0.004568113,0.006273169,0.001445515,0.07520362],"category_scores_gemma":[0.01738865,0.001971578,0.002558743,0.03778785,0.0005988693,0.002370407,0.002478531,0.003439648,0.0400384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05443383,"about_ca_system_score_gemma":0.119324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949723,"about_ca_topic_score_gemma":0.9937056,"domain_scores_codex":[0.9959543,0.0002880798,0.000508555,0.0005149159,0.001760905,0.0009732239],"domain_scores_gemma":[0.9642507,0.001185404,0.001244677,0.0009790314,0.03053921,0.001801015],"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":[0.00003726274,0.00001063214,0.002278241,0.0003789061,0.00003571142,0.000009090008,0.00003731295,0.0001328406,0.0000107253,0.0003543032,0.9945644,0.002150506],"study_design_scores_gemma":[0.0002971755,0.00002384685,0.06511163,0.001569439,0.0001329641,0.00004514101,0.0008685404,0.0006714604,0.0002167779,0.0008827006,0.9300511,0.0001292443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008651874,0.00005563899,0.00002489429,0.0001095378,0.00002530634,0.00001937436,0.9989504,0.000047368,0.0006808823],"genre_scores_gemma":[0.001098971,0.0003108947,0.000416738,0.0001733179,0.00001886187,0.0001777759,0.9941438,0.00009116529,0.003568577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07520362,"threshold_uncertainty_score":0.3949469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732825556964245,"score_gpt":0.2433398674674048,"score_spread":0.2160116118977623,"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."}}