{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008782531,0.001232947,0.002390145,0.0003990789,0.0001870353,0.0002787062,0.001001396,0.0008066446,0.0001795298],"category_scores_gemma":[0.0001798193,0.001281594,5.397207e-7,0.0005446494,0.001603295,0.0003820657,0.001470953,0.001230649,0.000005760219],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003009518,"about_ca_system_score_gemma":0.008341189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992129,"about_ca_topic_score_gemma":0.9935175,"domain_scores_codex":[0.9938868,0.0006551757,0.001479227,0.001607383,0.001289795,0.001081623],"domain_scores_gemma":[0.9951037,0.001226217,0.0009760254,0.001807378,0.000117855,0.0007687826],"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":[0.0003762612,0.0001415862,0.00604372,0.001028261,0.0006376283,0.0004508087,0.0001025146,0.000006528999,0.0001064039,0.00005921232,0.9907757,0.0002713517],"study_design_scores_gemma":[0.002117359,0.0001553904,0.009928764,0.0001996786,0.001182924,0.0001112471,0.002714279,0.0005068511,6.870987e-8,2.681696e-7,0.9818273,0.001255857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003969555,0.02103011,7.294431e-7,0.000001586908,0.0003543151,0.0007894979,0.973339,0.00006436765,0.0004508295],"genre_scores_gemma":[0.002266886,0.01923657,0.0002735546,0.0001583026,0.00005816517,0.000009089027,0.9768345,0.0004512318,0.0007116403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00894841,"threshold_uncertainty_score":0.9989634,"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."}}