{"id":"W6939189329","doi":"10.6068/dp14ba8116da891","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: 65 years and over, Couple families, $40,000 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; Family income; Fertility; Summary statistics; Population 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":[0.002355174,0.002494141,0.003012173,0.008077458,0.003453523,0.005035786,0.006473495,0.001517001,0.09058779],"category_scores_gemma":[0.01850373,0.002032636,0.00251568,0.03999604,0.0006279243,0.002563479,0.002571041,0.003306811,0.0482775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05643854,"about_ca_system_score_gemma":0.125064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954019,"about_ca_topic_score_gemma":0.9935136,"domain_scores_codex":[0.9958749,0.0003023719,0.0004838654,0.0005332885,0.00176395,0.001041638],"domain_scores_gemma":[0.9661959,0.001308259,0.001108336,0.001021345,0.02853948,0.001826538],"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":[0.00002908635,0.000008398666,0.001658773,0.0003045337,0.00002628309,0.000008332576,0.00003492783,0.000132836,0.000008660931,0.0003864564,0.9954418,0.001959842],"study_design_scores_gemma":[0.0002165904,0.00001652172,0.039664,0.001255115,0.00008634207,0.00003617843,0.0007715971,0.0006027219,0.0001818391,0.0008455236,0.9562121,0.0001114882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006820547,0.00004595986,0.00002582583,0.000104696,0.0000229715,0.00001715581,0.9988976,0.00005621016,0.0007614732],"genre_scores_gemma":[0.001041774,0.0002948118,0.0004388182,0.0001546119,0.00001673301,0.0001791828,0.9938829,0.000116383,0.003874779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09058779,"threshold_uncertainty_score":0.4094921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711853184745769,"score_gpt":0.2256477848760292,"score_spread":0.2085292530285716,"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."}}